diff --git a/notebooks/Finished_project/Ws_sensitivity/wind_speed_sensitivity.ipynb b/notebooks/Finished_project/Ws_sensitivity/wind_speed_sensitivity.ipynb
index 6bc7c23e2903ee45830e91018b38aeba6ba7b609..4bf562569c0f49fd233298ef32c1a0358fd1c8ca 100644
--- a/notebooks/Finished_project/Ws_sensitivity/wind_speed_sensitivity.ipynb
+++ b/notebooks/Finished_project/Ws_sensitivity/wind_speed_sensitivity.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "declared-dealer",
+   "id": "dangerous-indie",
    "metadata": {},
    "source": [
     "# **Sensitivity of the PM model to wind speed: Sympy study**"
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "heavy-plastic",
+   "id": "superb-progressive",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "sonic-harrison",
+   "id": "aquatic-uruguay",
    "metadata": {},
    "source": [
     "# Part II - Functions set up"
@@ -46,7 +46,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "specialized-chest",
+   "id": "limiting-mason",
    "metadata": {},
    "source": [
     "## Importing relevant packages"
@@ -54,10 +54,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
-   "id": "gothic-native",
+   "execution_count": 1,
+   "id": "realistic-biotechnology",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING (aesara.link.c.cmodule): install mkl with `conda install mkl-service`: No module named 'mkl'\n",
+      "WARNING (aesara.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
+     ]
+    }
+   ],
    "source": [
     "# data manipulation and plotting\n",
     "import pandas as pd\n",
@@ -112,7 +121,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "structured-judge",
+   "id": "fewer-essex",
    "metadata": {},
    "source": [
     "## Path of the different files (pre-defined python functions, sympy equations, sympy variables)"
@@ -120,8 +129,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
-   "id": "initial-marina",
+   "execution_count": 2,
+   "id": "olympic-wichita",
    "metadata": {
     "tags": [
      "parameters"
@@ -152,7 +161,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cooperative-trinidad",
+   "id": "manufactured-knight",
    "metadata": {},
    "source": [
     "## Importing the sympy variables and equations defined in the theory.ipynb notebook"
@@ -160,146 +169,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
-   "id": "accepted-heart",
+   "execution_count": 3,
+   "id": "waiting-pension",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_sat\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_sat'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_res\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_res'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:alpha\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.alpha'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:n\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.n'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:m\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.m'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:S_mvg\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.S_mvg'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:h\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.h'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:S\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.S'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_4\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_4'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_3\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_3'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_2\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_2'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_1\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:L\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.L'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Mw\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Mw'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Pv\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Pv'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Pvs\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Pvs'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:R\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.R'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c1\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T0\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T0'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Delta\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Delta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:E\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.E'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:G\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.G'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:H\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.H'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Rn\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Rn'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:LE\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.LE'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:gamma\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.gamma'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:alpha_PT\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.alpha_PT'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c_p\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c_p'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:w\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.w'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:kappa\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.kappa'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:u_star\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.u_star'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:VH\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.VH'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:d\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.d'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z_om\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z_om'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z_oh\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z_oh'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:r_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.r_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:g_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.g_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:r_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.r_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:g_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.g_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c1_e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c1_e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c2_e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c2_e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_min\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_min'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_max\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_max'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:RH_max\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.RH_max'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:RH_min\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.RH_min'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:iv_T\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.iv_T'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_kv\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_kv'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:P\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.P'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:rho_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.rho_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:VPD\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.VPD'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_m_n\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_m_n'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG_neg_case\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG_neg_case'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_sat_degree\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_sat_degree'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG_h\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG_h'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_h_FC\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_h_FC'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_theta_4_3\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_theta_4_3'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_theta_2_1\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_theta_2_1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_water_stress_simple\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_water_stress_simple'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -359,27 +232,7 @@
       "T_kv\n",
       "P\n",
       "rho_a\n",
-      "VPD\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_Pvs_T\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_Pvs_T'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_Delta\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_Delta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PT\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PT'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "VPD\n",
       "eq_m_n\n",
       "eq_MVG_neg_case\n",
       "eq_MVG\n",
@@ -397,18 +250,6 @@
       "eq_PM_g\n",
       "eq_PM_inv\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_VPD\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_VPD'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_g\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_g'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_inv\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_inv'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
     }
    ],
    "source": [
@@ -426,7 +267,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fixed-lodging",
+   "id": "particular-shakespeare",
    "metadata": {},
    "source": [
     "## Importing the performance assessment functions defined in the analysis_function.py file"
@@ -434,8 +275,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
-   "id": "distinct-lighting",
+   "execution_count": 4,
+   "id": "noble-guatemala",
    "metadata": {},
    "outputs": [
     {
@@ -487,7 +328,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "buried-malaysia",
+   "id": "helpful-thinking",
    "metadata": {},
    "source": [
     "## Data import, preprocess and shape for the computations"
@@ -495,7 +336,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "deadly-drove",
+   "id": "express-acoustic",
    "metadata": {},
    "source": [
     "### Get the different files where data are stored\n",
@@ -505,8 +346,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
-   "id": "imperial-victim",
+   "execution_count": 5,
+   "id": "monetary-length",
    "metadata": {},
    "outputs": [
     {
@@ -536,7 +377,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "lyric-bookmark",
+   "id": "wicked-possession",
    "metadata": {},
    "source": [
     "### Define and test a function that process the fPAR data\n",
@@ -545,8 +386,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
-   "id": "nominated-oxide",
+   "execution_count": 6,
+   "id": "universal-pixel",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -584,8 +425,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
-   "id": "orange-spectacular",
+   "execution_count": 7,
+   "id": "structural-mediterranean",
    "metadata": {},
    "outputs": [
     {
@@ -700,7 +541,7 @@
        "12     0.78     12"
       ]
      },
-     "execution_count": 143,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -711,7 +552,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "behind-brother",
+   "id": "antique-queen",
    "metadata": {},
    "source": [
     "### fPARSet function\n",
@@ -720,8 +561,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
-   "id": "widespread-subsection",
+   "execution_count": 8,
+   "id": "increasing-franchise",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -752,7 +593,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "southern-excuse",
+   "id": "swedish-certification",
    "metadata": {},
    "source": [
     "### DataChose function\n",
@@ -772,8 +613,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
-   "id": "agreed-holocaust",
+   "execution_count": 9,
+   "id": "middle-antique",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -866,7 +707,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "hollywood-azerbaijan",
+   "id": "authorized-gabriel",
    "metadata": {},
    "source": [
     "## Compile the different functions defined in the symbolic domain\n",
@@ -875,7 +716,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "computational-preservation",
+   "id": "canadian-thickness",
    "metadata": {},
    "source": [
     "### Water stress functions"
@@ -883,8 +724,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
-   "id": "simple-peace",
+   "execution_count": 10,
+   "id": "after-utilization",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -905,7 +746,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "chinese-salmon",
+   "id": "meaningful-darkness",
    "metadata": {},
    "source": [
     "### Soil water potential"
@@ -913,8 +754,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
-   "id": "liable-generation",
+   "execution_count": 11,
+   "id": "friendly-amsterdam",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -929,8 +770,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
-   "id": "imperial-elizabeth",
+   "execution_count": 12,
+   "id": "historical-thesis",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -947,7 +788,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "hearing-helping",
+   "id": "statutory-martin",
    "metadata": {},
    "source": [
     "### Penman-Monteith"
@@ -955,8 +796,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
-   "id": "cooperative-hazard",
+   "execution_count": 13,
+   "id": "bigger-training",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -974,8 +815,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
-   "id": "pregnant-carolina",
+   "execution_count": 14,
+   "id": "impressive-screening",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1002,8 +843,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
-   "id": "enhanced-associate",
+   "execution_count": 15,
+   "id": "mental-gabriel",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1024,8 +865,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
-   "id": "suffering-balloon",
+   "execution_count": 16,
+   "id": "intellectual-election",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1046,8 +887,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
-   "id": "hindu-scotland",
+   "execution_count": 17,
+   "id": "loving-movement",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1068,8 +909,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
-   "id": "chinese-appearance",
+   "execution_count": 18,
+   "id": "cathedral-comedy",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1096,8 +937,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
-   "id": "japanese-copying",
+   "execution_count": 19,
+   "id": "built-coverage",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1127,8 +968,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
-   "id": "changed-district",
+   "execution_count": 20,
+   "id": "rising-injection",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1156,8 +997,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
-   "id": "inner-samuel",
+   "execution_count": 21,
+   "id": "lyric-sleeve",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1190,8 +1031,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
-   "id": "alternative-pocket",
+   "execution_count": 22,
+   "id": "limited-mileage",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1213,8 +1054,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 159,
-   "id": "elect-hours",
+   "execution_count": 23,
+   "id": "incorrect-highway",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1232,7 +1073,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "general-appointment",
+   "id": "apart-mills",
    "metadata": {},
    "source": [
     "### Assign the different compiled functions to variables functions (create the functions in python)"
@@ -1240,8 +1081,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 160,
-   "id": "cosmetic-peace",
+   "execution_count": 24,
+   "id": "fifth-agent",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1268,8 +1109,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
-   "id": "direct-prerequisite",
+   "execution_count": 25,
+   "id": "frank-shakespeare",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1298,7 +1139,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "thrown-employee",
+   "id": "selected-playing",
    "metadata": {},
    "source": [
     "## Functions to run the different models\n",
@@ -1307,7 +1148,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "compliant-niger",
+   "id": "tight-queens",
    "metadata": {},
    "source": [
     "### Varying surface resistance model"
@@ -1315,8 +1156,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
-   "id": "accomplished-meditation",
+   "execution_count": 26,
+   "id": "critical-rogers",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1379,7 +1220,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "legal-memory",
+   "id": "decent-organization",
    "metadata": {},
    "source": [
     "### Constant surface conductance model"
@@ -1387,8 +1228,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
-   "id": "plain-illustration",
+   "execution_count": 27,
+   "id": "surgical-error",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1452,7 +1293,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "optical-macro",
+   "id": "concerned-boston",
    "metadata": {},
    "source": [
     "### Benchmark Penman-Monteith model"
@@ -1460,8 +1301,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
-   "id": "three-garage",
+   "execution_count": 28,
+   "id": "pleased-alcohol",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1520,8 +1361,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
-   "id": "younger-completion",
+   "execution_count": 29,
+   "id": "referenced-confidentiality",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1580,7 +1421,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "expressed-spirit",
+   "id": "solid-crown",
    "metadata": {},
    "source": [
     "### Modified version of the PM equation\n",
@@ -1595,8 +1436,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
-   "id": "colored-protocol",
+   "execution_count": 30,
+   "id": "pacific-understanding",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1659,8 +1500,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
-   "id": "aggregate-calendar",
+   "execution_count": 31,
+   "id": "coastal-italic",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1724,7 +1565,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "supreme-geology",
+   "id": "cellular-spain",
    "metadata": {},
    "source": [
     "### Priestley and Taylor model"
@@ -1732,8 +1573,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 168,
-   "id": "corporate-sapphire",
+   "execution_count": 32,
+   "id": "innocent-lotus",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1788,8 +1629,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 169,
-   "id": "editorial-enterprise",
+   "execution_count": 33,
+   "id": "distant-effect",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1844,7 +1685,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "nearby-cheese",
+   "id": "received-haiti",
    "metadata": {},
    "source": [
     "### Inverse modelling\n",
@@ -1853,8 +1694,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 170,
-   "id": "atomic-kernel",
+   "execution_count": 34,
+   "id": "similar-mercy",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1908,7 +1749,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "interpreted-district",
+   "id": "homeless-montreal",
    "metadata": {},
    "source": [
     "## Calibration algorithm"
@@ -1916,8 +1757,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 171,
-   "id": "thick-reach",
+   "execution_count": 35,
+   "id": "ideal-civilian",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1938,8 +1779,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 172,
-   "id": "integrated-paris",
+   "execution_count": 36,
+   "id": "conservative-lindsay",
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -2074,7 +1915,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "statistical-truth",
+   "id": "statutory-sugar",
    "metadata": {},
    "source": [
     "Use the global optimizer from the `scipy.optimize` package. Minimize the squared residual :\n",
@@ -2085,8 +1926,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 173,
-   "id": "arctic-tract",
+   "execution_count": 37,
+   "id": "liquid-reproduction",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2105,7 +1946,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "opposite-salvation",
+   "id": "working-titanium",
    "metadata": {},
    "source": [
     "# Part III - Experiments"
@@ -2113,7 +1954,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "incredible-honduras",
+   "id": "brown-photographer",
    "metadata": {},
    "source": [
     "#### Investigate the influence of wind speed on $E_a$\n",
@@ -2122,8 +1963,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
-   "id": "substantial-mitchell",
+   "execution_count": null,
+   "id": "standard-corrections",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "obvious-sacrifice",
    "metadata": {},
    "outputs": [
     {
@@ -2158,7 +2007,7 @@
        "          ⎝      ⎝gₛ    ⎠⎠    "
       ]
      },
-     "execution_count": 53,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2169,8 +2018,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
-   "id": "australian-renewal",
+   "execution_count": 39,
+   "id": "plain-market",
    "metadata": {},
    "outputs": [
     {
@@ -2195,7 +2044,7 @@
        "      ⎝      ⎝          ⎝      VH     ⎠    ⎝      VH      ⎠⎠⎠"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2207,8 +2056,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
-   "id": "honest-mouse",
+   "execution_count": 40,
+   "id": "advanced-munich",
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -2393,10 +2242,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
-   "id": "chubby-rapid",
+   "execution_count": 51,
+   "id": "known-strap",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# define new classes of equations: \n",
     "\n",
@@ -2424,21 +2286,24 @@
     "    \"\"\"Formal equation of PM\"\"\"\n",
     "    expr = Eq(E,(Delta*(Rn-G)+rho_a*c_p*VPD*eq_ga.rhs)/(L*(Delta+gamma*(1+eq_ga.rhs/g_s))))\n",
     "\n",
-    "vdic = {Delta:0.2, G:25, Rn:300, VPD:10, L:L.definition.default, gamma: gamma.definition.default, c_p: c_p.definition.default,\n",
-    "       rho_a:rho_a.definition.default, kappa:kappa.definition.default, u_star:0.2, g_s:0.0014, z:23}\n",
+    "vdic = {Delta:0.2, G:25, Rn:400, VPD:10, L:L.definition.default, gamma: gamma.definition.default, c_p: c_p.definition.default,\n",
+    "       rho_a:rho_a.definition.default, kappa:kappa.definition.default, u_star:0.2, g_s:1/70, z:23}\n",
+    "\n",
+    "from sympy.plotting import plot\n",
+    "plot(eq_PM_formal.rhs.subs(vdic))\n",
     "\n",
     "expr = eq_PM_formal.rhs.subs(vdic)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
-   "id": "fewer-uzbekistan",
+   "execution_count": 42,
+   "id": "planned-collector",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2451,10 +2316,10 @@
     {
      "data": {
       "text/plain": [
-       "<sympy.plotting.plot.Plot at 0x7f14562a1610>"
+       "<sympy.plotting.plot.Plot at 0x7f8144b6a700>"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2466,8 +2331,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
-   "id": "generic-elevation",
+   "execution_count": 43,
+   "id": "split-pilot",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2493,7 +2358,7 @@
   {
    "cell_type": "code",
    "execution_count": 59,
-   "id": "connected-wagner",
+   "id": "tested-equivalent",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2509,7 +2374,7 @@
   {
    "cell_type": "code",
    "execution_count": 60,
-   "id": "interior-retreat",
+   "id": "unexpected-serum",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/notebooks/Finished_project/simpler_model/Influence_atmo_E_wet.png b/notebooks/Finished_project/simpler_model/Influence_atmo_E_wet.png
index 146f46d53b2b75bf832f6614c8f85621862d65a2..7736dac84aba108b5b0f32ef6bb4fa50e7104cd4 100644
--- a/notebooks/Finished_project/simpler_model/Influence_atmo_E_wet.png
+++ b/notebooks/Finished_project/simpler_model/Influence_atmo_E_wet.png
@@ -1,3 +1,3 @@
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+oid sha256:dd3ad5c2074f1867c3292e7745e474c8a189294673d984adef6276c746827ed0
+size 252947
diff --git a/notebooks/Finished_project/simpler_model/Influence_atmo_rel_dry_sturt.png b/notebooks/Finished_project/simpler_model/Influence_atmo_rel_dry_sturt.png
index 7e7b1853f6719381b4028697eb9faad97bd05673..dce9346f8639c8347ccfa9805503f5f6ff0e480a 100644
--- a/notebooks/Finished_project/simpler_model/Influence_atmo_rel_dry_sturt.png
+++ b/notebooks/Finished_project/simpler_model/Influence_atmo_rel_dry_sturt.png
@@ -1,3 +1,3 @@
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-oid sha256:7c4e826a4dc63d4371799340713dd74a0377cb0f8c706e32382e4a3f21fad35c
-size 321212
+oid sha256:daf08ac960600de4aa568104f881ac5f18b62314b54bd857300d2ecd3ec89ca4
+size 294317
diff --git a/notebooks/Finished_project/simpler_model/inverseModelling.png b/notebooks/Finished_project/simpler_model/inverseModelling.png
index 4149ab2324021000b6caa22726bcc94731c1b4eb..66567170eea1144b3ea1340b9ea0de3df42ca7ff 100644
Binary files a/notebooks/Finished_project/simpler_model/inverseModelling.png and b/notebooks/Finished_project/simpler_model/inverseModelling.png differ
diff --git a/notebooks/Finished_project/simpler_model/latex_files/dry_season.tex b/notebooks/Finished_project/simpler_model/latex_files/dry_season.tex
index 1dcfd3aba13da422c6209f5d6282ee3a83ab6b37..28586d0d850db384644eb3ab56e82ca94341b9fa 100644
--- a/notebooks/Finished_project/simpler_model/latex_files/dry_season.tex
+++ b/notebooks/Finished_project/simpler_model/latex_files/dry_season.tex
@@ -1,12 +1,12 @@
 \begin{tabular}{lrrrrrrrr}
 \toprule
-{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &   fPAR\_PM &   Bench\_PM \\
+{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &    fPAR\_PM &   Bench\_PM \\
 \midrule
-RMSE   &    0.613282 &    0.626179 &     0.728898 &    0.750989 &  0.635991 &  2.001012 &  2.367712 &   5.080072 \\
-RMedSE &    0.438843 &    0.364637 &     0.482288 &    0.520776 &  0.384338 &  1.306227 &  1.949292 &   4.380618 \\
-NS     &    0.746747 &    0.735983 &     0.642259 &    0.620246 &  0.727644 & -1.696088 & -2.774787 & -16.376981 \\
-RVE    &   -0.045086 &   -0.004417 &    -0.039894 &    0.069212 & -0.058347 & -0.613086 & -0.735152 &  -1.652722 \\
-MAE    &    0.482613 &    0.478669 &     0.573307 &    0.598198 &  0.496328 &  1.702450 &  2.084216 &   4.570540 \\
-bias   &   -0.124684 &   -0.012215 &    -0.110326 &    0.191402 & -0.161357 & -1.695466 & -2.033035 &  -4.570540 \\
+RMSE   &    0.931820 &    0.893647 &     2.796542 &    1.308901 &  0.635991 &  2.001012 &   4.892235 &   9.123506 \\
+RMedSE &    0.407479 &    0.461836 &     2.378363 &    0.990405 &  0.384338 &  1.306227 &   4.206196 &   7.780005 \\
+NS     &    0.415347 &    0.462268 &    -4.265958 &   -0.153581 &  0.727644 & -1.696088 & -15.115697 & -55.047735 \\
+RVE    &   -0.046600 &    0.068944 &     0.406716 &    0.336310 & -0.058347 & -0.613086 &  -1.601375 &  -2.999871 \\
+MAE    &    0.621935 &    0.649353 &     2.500643 &    1.043889 &  0.496328 &  1.702450 &   4.428542 &   8.296030 \\
+bias   &   -0.128870 &    0.190662 &     1.124757 &    0.930052 & -0.161357 & -1.695466 &  -4.428542 &  -8.296030 \\
 \bottomrule
 \end{tabular}
diff --git a/notebooks/Finished_project/simpler_model/latex_files/wet_season.tex b/notebooks/Finished_project/simpler_model/latex_files/wet_season.tex
index de802b947683defcf9cbf4041816f39451e94862..c4cff5b9249e55df403fcf74939591d52444c224 100644
--- a/notebooks/Finished_project/simpler_model/latex_files/wet_season.tex
+++ b/notebooks/Finished_project/simpler_model/latex_files/wet_season.tex
@@ -1,12 +1,12 @@
 \begin{tabular}{lrrrrrrrr}
 \toprule
-{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &   fPAR\_PM &  Bench\_PM \\
+{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &   fPAR\_PM &   Bench\_PM \\
 \midrule
-RMSE   &    0.770018 &    0.808084 &     0.801993 &    0.918294 &  0.831119 &  1.797729 &  1.936702 &  4.116962 \\
-RMedSE &    0.461744 &    0.448924 &     0.505759 &    0.609993 &  0.413534 &  1.265567 &  1.278348 &  2.545557 \\
-NS     &    0.800861 &    0.780686 &     0.783979 &    0.716784 &  0.768005 & -0.085430 & -0.259735 & -4.692554 \\
-RVE    &    0.009411 &    0.007280 &    -0.009784 &    0.022225 &  0.003059 & -0.373457 & -0.344705 & -0.896827 \\
-MAE    &    0.563843 &    0.597555 &     0.628617 &    0.720772 &  0.585899 &  1.541070 &  1.553741 &  3.389369 \\
-bias   &    0.034944 &    0.027033 &    -0.036332 &    0.082527 &  0.011358 & -1.386752 & -1.279987 & -3.330175 \\
+RMSE   &    1.159471 &    1.144177 &     2.855625 &    1.691557 &  0.831119 &  1.797729 &  4.221179 &   7.730995 \\
+RMedSE &    0.610701 &    0.656019 &     2.378363 &    1.358722 &  0.413534 &  1.265567 &  3.322006 &   5.591585 \\
+NS     &    0.548484 &    0.560317 &    -1.738771 &    0.038993 &  0.768005 & -0.085430 & -4.984405 & -19.073555 \\
+RVE    &   -0.131226 &   -0.062211 &    -0.036571 &    0.360602 &  0.003059 & -0.373457 & -0.986124 &  -1.817859 \\
+MAE    &    0.856273 &    0.882958 &     2.519780 &    1.411916 &  0.585899 &  1.541070 &  3.672916 &   6.750230 \\
+bias   &   -0.487281 &   -0.231006 &    -0.135799 &    1.339018 &  0.011358 & -1.386752 & -3.661761 &  -6.750230 \\
 \bottomrule
 \end{tabular}
diff --git a/notebooks/Finished_project/simpler_model/latex_files/whole_year.tex b/notebooks/Finished_project/simpler_model/latex_files/whole_year.tex
index dc215523aa48b8a3d83b4ea495d32ab50f0363a8..9ddbb92378f796e465f6e23cedab0557455c30d0 100644
--- a/notebooks/Finished_project/simpler_model/latex_files/whole_year.tex
+++ b/notebooks/Finished_project/simpler_model/latex_files/whole_year.tex
@@ -1,12 +1,12 @@
 \begin{tabular}{lrrrrrrrr}
 \toprule
-{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &   fPAR\_PM &  Bench\_PM \\
+{} &  Varying\_gS &  Mod\_var\_gS &  Constant\_gS &  Mod\_cst\_gS &  PT\_model &  Bench\_PT &   fPAR\_PM &   Bench\_PM \\
 \midrule
-RMSE   &    0.867409 &    0.931554 &     0.924532 &    1.038747 &  0.899593 &  1.845079 &  1.789343 &  3.849381 \\
-RMedSE &    0.471161 &    0.514767 &     0.540893 &    0.648825 &  0.439765 &  1.392651 &  1.189700 &  2.635833 \\
-NS     &    0.709874 &    0.665378 &     0.670403 &    0.583937 &  0.687945 & -0.312710 & -0.234599 & -4.713745 \\
-RVE    &    0.024020 &    0.013361 &    -0.002139 &    0.024325 &  0.021555 & -0.364515 & -0.270482 & -0.801912 \\
-MAE    &    0.614918 &    0.676997 &     0.692477 &    0.799959 &  0.619385 &  1.600261 &  1.406583 &  3.199727 \\
-bias   &    0.092765 &    0.051602 &    -0.008259 &    0.093944 &  0.083244 & -1.407761 & -1.044603 & -3.096990 \\
+RMSE   &    1.283445 &    1.273254 &     2.945861 &    1.762784 &  0.899593 &  1.845079 &  3.956166 &   7.332395 \\
+RMedSE &    0.678966 &    0.767610 &     2.438221 &    1.470380 &  0.439765 &  1.392651 &  3.034375 &   5.581212 \\
+NS     &    0.364825 &    0.374872 &    -2.346290 &   -0.198222 &  0.687945 & -0.312710 & -5.035150 & -19.731502 \\
+RVE    &   -0.153913 &   -0.086192 &    -0.130060 &    0.369599 &  0.021555 & -0.364515 & -0.869089 &  -1.660680 \\
+MAE    &    0.957122 &    0.988365 &     2.571213 &    1.505232 &  0.619385 &  1.600261 &  3.390706 &   6.414795 \\
+bias   &   -0.594413 &   -0.332875 &    -0.502292 &    1.427393 &  0.083244 & -1.407761 & -3.356427 &  -6.413556 \\
 \bottomrule
 \end{tabular}
diff --git a/notebooks/Finished_project/simpler_model/simpler_model.ipynb b/notebooks/Finished_project/simpler_model/simpler_model.ipynb
index c5b026510171d5b1f0b4d7d401d62b1fa38dd005..8fed94c682af1d38665558bde26c778b9d9522e7 100644
--- a/notebooks/Finished_project/simpler_model/simpler_model.ipynb
+++ b/notebooks/Finished_project/simpler_model/simpler_model.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "virgin-reminder",
+   "id": "egyptian-watershed",
    "metadata": {},
    "source": [
     "# **Location of the stress factor in potential evapo-transpiration models**"
@@ -10,7 +10,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "synthetic-ebony",
+   "id": "metallic-stadium",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -62,7 +62,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "liberal-choir",
+   "id": "august-authentication",
    "metadata": {},
    "source": [
     "# Part II - Functions set up"
@@ -70,7 +70,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "naughty-picnic",
+   "id": "forward-paintball",
    "metadata": {},
    "source": [
     "## Importing relevant packages"
@@ -78,10 +78,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 493,
-   "id": "refined-lodge",
+   "execution_count": 1,
+   "id": "brief-driver",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "WARNING (aesara.link.c.cmodule): install mkl with `conda install mkl-service`: No module named 'mkl'\n",
+      "WARNING (aesara.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n"
+     ]
+    }
+   ],
    "source": [
     "# data manipulation and plotting\n",
     "import pandas as pd\n",
@@ -136,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "covered-bridge",
+   "id": "quality-robert",
    "metadata": {},
    "source": [
     "## Path of the different files (pre-defined python functions, sympy equations, sympy variables)"
@@ -144,8 +153,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 494,
-   "id": "democratic-finger",
+   "execution_count": 2,
+   "id": "joint-dryer",
    "metadata": {
     "tags": [
      "parameters"
@@ -180,7 +189,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "accompanied-tenant",
+   "id": "through-sunday",
    "metadata": {},
    "source": [
     "## Importing the sympy variables and equations defined in the theory.ipynb notebook"
@@ -188,148 +197,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 495,
-   "id": "polished-explanation",
+   "execution_count": 3,
+   "id": "former-evanescence",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_sat\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_sat'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_res\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_res'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:alpha\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.alpha'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:n\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.n'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:m\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.m'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:S_mvg\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.S_mvg'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:h\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.h'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:S\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.S'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_4\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_4'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_3\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_3'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_2\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_2'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:theta_1\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.theta_1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:L\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.L'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Mw\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Mw'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Pv\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Pv'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Pvs\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Pvs'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:R\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.R'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c1\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T0\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T0'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Delta\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Delta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:E\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.E'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:G\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.G'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:H\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.H'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:Rn\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.Rn'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:LE\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.LE'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:gamma\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.gamma'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:alpha_PT\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.alpha_PT'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c_p\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c_p'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:w\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.w'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:kappa\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.kappa'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:u_star\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.u_star'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:VH\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.VH'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:d\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.d'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z_om\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z_om'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:z_oh\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.z_oh'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:r_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.r_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:g_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.g_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:r_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.r_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:g_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.g_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c1_e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c1_e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:c2_e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.c2_e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_min\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_min'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_max\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_max'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:RH_max\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.RH_max'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:RH_min\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.RH_min'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:e_s\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.e_s'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:iv_T\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.iv_T'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:T_kv\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.T_kv'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:P\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.P'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:rho_a\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.rho_a'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"e/theory_variable:VPD\" will be overridden by \"e/theory_variable:<class 'e/theory_variable.VPD'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_m_n\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_m_n'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG_neg_case\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG_neg_case'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_sat_degree\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_sat_degree'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_MVG_h\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_MVG_h'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_h_FC\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_h_FC'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_theta_4_3\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_theta_4_3'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_theta_2_1\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_theta_2_1'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_water_stress_simple\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_water_stress_simple'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_Pvs_T\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_Pvs_T'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
-    },
     {
      "name": "stdout",
      "output_type": "stream",
@@ -389,27 +260,7 @@
       "T_kv\n",
       "P\n",
       "rho_a\n",
-      "VPD\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_Delta\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_Delta'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PT\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PT'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_VPD\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_VPD'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "VPD\n",
       "eq_m_n\n",
       "eq_MVG_neg_case\n",
       "eq_MVG\n",
@@ -427,16 +278,6 @@
       "eq_PM_g\n",
       "eq_PM_inv\n"
      ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_g\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_g'>\"\n",
-      "  instance[expr] = instance\n",
-      "/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py:107: UserWarning: \"e/theory_equation:eq_PM_inv\" will be overridden by \"e/theory_equation:<class 'e/theory_equation.eq_PM_inv'>\"\n",
-      "  instance[expr] = instance\n"
-     ]
     }
    ],
    "source": [
@@ -454,7 +295,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "concrete-bishop",
+   "id": "massive-uniform",
    "metadata": {},
    "source": [
     "## Importing the performance assessment functions defined in the analysis_function.py file"
@@ -462,8 +303,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 496,
-   "id": "found-liverpool",
+   "execution_count": 4,
+   "id": "cooked-scholarship",
    "metadata": {},
    "outputs": [
     {
@@ -515,7 +356,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "peaceful-marsh",
+   "id": "obvious-direction",
    "metadata": {},
    "source": [
     "## Data import, preprocess and shape for the computations"
@@ -523,7 +364,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "missing-disorder",
+   "id": "changing-interim",
    "metadata": {},
    "source": [
     "### Get the different files where data are stored\n",
@@ -533,8 +374,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 497,
-   "id": "swiss-instruction",
+   "execution_count": 5,
+   "id": "sixth-words",
    "metadata": {},
    "outputs": [
     {
@@ -564,7 +405,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "disturbed-smile",
+   "id": "removable-reception",
    "metadata": {},
    "source": [
     "### Define and test a function that process the fPAR data\n",
@@ -573,8 +414,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 498,
-   "id": "roman-festival",
+   "execution_count": 6,
+   "id": "flush-conditions",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -612,8 +453,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 499,
-   "id": "prompt-notion",
+   "execution_count": 7,
+   "id": "urban-invite",
    "metadata": {},
    "outputs": [
     {
@@ -728,7 +569,7 @@
        "12     0.78     12"
       ]
      },
-     "execution_count": 499,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -739,7 +580,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "incorporated-advertiser",
+   "id": "minimal-seating",
    "metadata": {},
    "source": [
     "### fPARSet function\n",
@@ -748,8 +589,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 500,
-   "id": "hourly-assurance",
+   "execution_count": 8,
+   "id": "proved-despite",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -780,7 +621,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "referenced-graphic",
+   "id": "aging-cover",
    "metadata": {},
    "source": [
     "### DataChose function\n",
@@ -800,8 +641,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 501,
-   "id": "relative-grocery",
+   "execution_count": 9,
+   "id": "level-gardening",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -894,7 +735,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "educated-consolidation",
+   "id": "induced-stewart",
    "metadata": {},
    "source": [
     "## Compile the different functions defined in the symbolic domain\n",
@@ -903,7 +744,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "exotic-particle",
+   "id": "adaptive-lottery",
    "metadata": {},
    "source": [
     "### Water stress functions"
@@ -911,8 +752,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 502,
-   "id": "consecutive-margin",
+   "execution_count": 10,
+   "id": "pressed-april",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -933,7 +774,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "answering-carrier",
+   "id": "duplicate-pierre",
    "metadata": {},
    "source": [
     "### Soil water potential"
@@ -941,8 +782,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 503,
-   "id": "powered-quick",
+   "execution_count": 11,
+   "id": "compact-morris",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -957,8 +798,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 504,
-   "id": "enhanced-negotiation",
+   "execution_count": 12,
+   "id": "continental-disability",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -975,7 +816,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "offshore-visit",
+   "id": "complex-basketball",
    "metadata": {},
    "source": [
     "### Penman-Monteith"
@@ -983,8 +824,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 505,
-   "id": "normal-singing",
+   "execution_count": 13,
+   "id": "demographic-outside",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1002,8 +843,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 506,
-   "id": "sought-shoot",
+   "execution_count": 14,
+   "id": "economic-supplier",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1030,8 +871,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 507,
-   "id": "separated-confidence",
+   "execution_count": 15,
+   "id": "dried-radius",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1052,8 +893,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 508,
-   "id": "mexican-margin",
+   "execution_count": 16,
+   "id": "american-facility",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1074,8 +915,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 509,
-   "id": "rising-northeast",
+   "execution_count": 17,
+   "id": "genetic-manitoba",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1096,8 +937,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 510,
-   "id": "stretch-warning",
+   "execution_count": 18,
+   "id": "dying-ceremony",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1124,8 +965,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 511,
-   "id": "disciplinary-geology",
+   "execution_count": 19,
+   "id": "cloudy-acting",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1155,8 +996,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 512,
-   "id": "accessory-preparation",
+   "execution_count": 20,
+   "id": "vital-volume",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1184,8 +1025,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 513,
-   "id": "royal-pointer",
+   "execution_count": 21,
+   "id": "identical-nicaragua",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1218,8 +1059,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 514,
-   "id": "dirty-circle",
+   "execution_count": 22,
+   "id": "unique-approval",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1241,8 +1082,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 515,
-   "id": "expressed-latex",
+   "execution_count": 23,
+   "id": "empirical-communist",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1260,7 +1101,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "first-independence",
+   "id": "efficient-interpretation",
    "metadata": {},
    "source": [
     "### Assign the different compiled functions to variables functions (create the functions in python)"
@@ -1268,8 +1109,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 516,
-   "id": "regulated-chinese",
+   "execution_count": 24,
+   "id": "according-elephant",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1296,8 +1137,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 517,
-   "id": "instrumental-notification",
+   "execution_count": 25,
+   "id": "satellite-healing",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1326,7 +1167,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "damaged-shoot",
+   "id": "herbal-cotton",
    "metadata": {},
    "source": [
     "## Functions to run the different models\n",
@@ -1335,7 +1176,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "advisory-endorsement",
+   "id": "worse-utility",
    "metadata": {},
    "source": [
     "### Varying surface resistance model"
@@ -1343,12 +1184,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 518,
-   "id": "expanded-midnight",
+   "execution_count": 26,
+   "id": "enhanced-utilization",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_var(data, Psi_3_val, Psi_4_val, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_var(data, Psi_3_val, Psi_4_val, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run varying SR Penman Monteith model but with VPD data instead of Ea and Es\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1408,7 +1249,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "selected-gregory",
+   "id": "boxed-drama",
    "metadata": {},
    "source": [
     "### Constant surface conductance model"
@@ -1416,12 +1257,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 519,
-   "id": "numerical-plane",
+   "execution_count": 27,
+   "id": "unsigned-sponsorship",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_cst(data, Psi_3_val, Psi_4_val, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_cst(data, Psi_3_val, Psi_4_val, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run constant SR Penman Monteith mode but with VPD data instead of Ea and Es\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1481,7 +1322,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "exempt-translation",
+   "id": "english-installation",
    "metadata": {},
    "source": [
     "### Benchmark Penman-Monteith model"
@@ -1489,12 +1330,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 520,
-   "id": "sharing-hardware",
+   "execution_count": 28,
+   "id": "leading-shoot",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_classic_fPAR(data, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_classic_fPAR(data, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run classic PM model (only Rs as calibration parameter)\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1549,12 +1390,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 521,
-   "id": "unlikely-provincial",
+   "execution_count": 29,
+   "id": "grateful-poultry",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_classic(data, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_classic(data, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run classic PM model (only Rs as calibration parameter)\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1609,7 +1450,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "modern-cheat",
+   "id": "amazing-induction",
    "metadata": {},
    "source": [
     "### Modified version of the PM equation\n",
@@ -1624,12 +1465,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 522,
-   "id": "loving-boundary",
+   "execution_count": 30,
+   "id": "partial-duration",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_2var(data, Psi_3_val, Psi_4_val, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_2var(data, Psi_3_val, Psi_4_val, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run varying SR Penman Monteith model but with VPD data instead of Ea and Es\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1689,12 +1530,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 523,
-   "id": "sudden-setup",
+   "execution_count": 31,
+   "id": "gentle-group",
    "metadata": {},
    "outputs": [],
    "source": [
-    "def PM_run_2cst(data, Psi_3_val, Psi_4_val, gs_val = 1/70, compute_VPD = False):\n",
+    "def PM_run_2cst(data, Psi_3_val, Psi_4_val, gs_val = 1/7, compute_VPD = False):\n",
     "    \"\"\"run constant SR Penman Monteith mode but with VPD data instead of Ea and Es\n",
     "    -----------------------------------\n",
     "    data: list containing the data /!\\ the data should be in a specific order : Data = [Ta, Fn, Fg, Sws, Fe, Ws, Ustar, Ta_min, Ta_max, RH_min, RH_max]\n",
@@ -1754,7 +1595,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "satellite-hotel",
+   "id": "infinite-guide",
    "metadata": {},
    "source": [
     "### Priestley and Taylor model"
@@ -1762,8 +1603,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 524,
-   "id": "prostate-services",
+   "execution_count": 32,
+   "id": "loving-prophet",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1818,8 +1659,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 525,
-   "id": "increasing-lawsuit",
+   "execution_count": 33,
+   "id": "israeli-caribbean",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1874,7 +1715,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "frozen-timing",
+   "id": "understood-conversation",
    "metadata": {},
    "source": [
     "### Inverse modelling\n",
@@ -1883,8 +1724,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 526,
-   "id": "welcome-cathedral",
+   "execution_count": 34,
+   "id": "angry-democracy",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1938,7 +1779,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "timely-nicholas",
+   "id": "comfortable-interstate",
    "metadata": {},
    "source": [
     "## Calibration algorithm"
@@ -1946,8 +1787,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 527,
-   "id": "dependent-being",
+   "execution_count": 35,
+   "id": "accurate-huntington",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1968,8 +1809,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 528,
-   "id": "finished-arabic",
+   "execution_count": 36,
+   "id": "statutory-committee",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2100,7 +1941,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "multiple-veteran",
+   "id": "lonely-damages",
    "metadata": {},
    "source": [
     "Use the global optimizer from the `scipy.optimize` package. Minimize the squared residual :\n",
@@ -2111,8 +1952,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 529,
-   "id": "residential-number",
+   "execution_count": 37,
+   "id": "computational-quilt",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2131,7 +1972,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "reduced-eligibility",
+   "id": "attractive-texture",
    "metadata": {},
    "source": [
     "Function to compute the moving average of a time serie with a varying window size"
@@ -2139,8 +1980,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 530,
-   "id": "lesbian-hampton",
+   "execution_count": 38,
+   "id": "exposed-personal",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2169,7 +2010,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "adopted-reference",
+   "id": "official-charge",
    "metadata": {},
    "source": [
     "Define a non-linear stress factor function for later experiments"
@@ -2177,8 +2018,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 531,
-   "id": "pediatric-daisy",
+   "execution_count": 39,
+   "id": "durable-parallel",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2212,7 +2053,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "intellectual-stopping",
+   "id": "impressed-population",
    "metadata": {},
    "source": [
     "# Part III - Experiments"
@@ -2220,7 +2061,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "lesbian-proof",
+   "id": "eleven-absence",
    "metadata": {},
    "source": [
     "## One site, one year\n",
@@ -2229,8 +2070,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 532,
-   "id": "democratic-bahrain",
+   "execution_count": 40,
+   "id": "recognized-pension",
    "metadata": {},
    "outputs": [
     {
@@ -2620,10 +2461,10 @@
        "    vegetation:               Woody savanna\n",
        "    xl_datemode:              0\n",
        "    xl_filename:              E:/My Dropbox/Dropbox/Data_flux_data/Site data ...\n",
-       "    xl_moddatetime:           2020-01-21 11:59:06</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-d9ece8ff-8f41-4484-85e8-d2c735e6d867' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d9ece8ff-8f41-4484-85e8-d2c735e6d867' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>time</span>: 315551</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-e1395730-69b1-483c-9214-ded9aa462da2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e1395730-69b1-483c-9214-ded9aa462da2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2002-01-01T00:30:00 ... 2019-12-...</div><input id='attrs-81ca9ad5-2aa4-410c-ba29-a9546d197766' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81ca9ad5-2aa4-410c-ba29-a9546d197766' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-beaa57b7-1682-4b4f-bc79-f545db35218c' class='xr-var-data-in' type='checkbox'><label for='data-beaa57b7-1682-4b4f-bc79-f545db35218c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2002-01-01T00:30:00.000000000&#x27;, &#x27;2002-01-01T01:00:00.000000000&#x27;,\n",
+       "    xl_moddatetime:           2020-01-21 11:59:06</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-1faccd7c-47c4-4fb5-8161-76587b814e92' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1faccd7c-47c4-4fb5-8161-76587b814e92' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>latitude</span>: 1</li><li><span class='xr-has-index'>longitude</span>: 1</li><li><span class='xr-has-index'>time</span>: 315551</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4e4e1cfe-0504-4b6e-bed1-40a1872b2e69' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4e4e1cfe-0504-4b6e-bed1-40a1872b2e69' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2002-01-01T00:30:00 ... 2019-12-...</div><input id='attrs-9c80b12f-8e12-42ce-92b5-77e8219f35d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c80b12f-8e12-42ce-92b5-77e8219f35d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a1282fb-bd6e-49db-8222-0050d4d65365' class='xr-var-data-in' type='checkbox'><label for='data-3a1282fb-bd6e-49db-8222-0050d4d65365' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time</dd><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2002-01-01T00:30:00.000000000&#x27;, &#x27;2002-01-01T01:00:00.000000000&#x27;,\n",
        "       &#x27;2002-01-01T01:30:00.000000000&#x27;, ..., &#x27;2019-12-31T22:30:00.000000000&#x27;,\n",
        "       &#x27;2019-12-31T23:00:00.000000000&#x27;, &#x27;2019-12-31T23:30:00.000000000&#x27;],\n",
-       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-12.5</div><input id='attrs-270fd50b-0d6f-4de6-b955-7b50a13a3c9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-270fd50b-0d6f-4de6-b955-7b50a13a3c9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc527af5-55f0-41da-8c3e-5851ec3e88d4' class='xr-var-data-in' type='checkbox'><label for='data-bc527af5-55f0-41da-8c3e-5851ec3e88d4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees north</dd></dl></div><div class='xr-var-data'><pre>array([-12.4952])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.2</div><input id='attrs-64c276f4-8836-4697-8d35-58ba0e888875' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64c276f4-8836-4697-8d35-58ba0e888875' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-39c39645-aec0-4d1a-868d-905f886aa5f9' class='xr-var-data-in' type='checkbox'><label for='data-39c39645-aec0-4d1a-868d-905f886aa5f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees east</dd></dl></div><div class='xr-var-data'><pre>array([131.15005])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-899b6759-fe61-4299-bbb9-61331d43adbf' class='xr-section-summary-in' type='checkbox'  ><label for='section-899b6759-fe61-4299-bbb9-61331d43adbf' class='xr-section-summary' >Data variables: <span>(143)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Ah</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c822bd27-de12-4e67-afd6-45d15ab4b0bd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c822bd27-de12-4e67-afd6-45d15ab4b0bd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d97d50ec-763d-49a3-9881-53243f61c086' class='xr-var-data-in' type='checkbox'><label for='data-d97d50ec-763d-49a3-9881-53243f61c086' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>1,35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>latitude</span></div><div class='xr-var-dims'>(latitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-12.5</div><input id='attrs-bb1802f4-5cbd-488a-b318-c54203cca627' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bb1802f4-5cbd-488a-b318-c54203cca627' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40b57b1e-3559-4032-9cf7-d61ba4403848' class='xr-var-data-in' type='checkbox'><label for='data-40b57b1e-3559-4032-9cf7-d61ba4403848' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degrees north</dd></dl></div><div class='xr-var-data'><pre>array([-12.4952])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>longitude</span></div><div class='xr-var-dims'>(longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>131.2</div><input id='attrs-04b3e6f3-223a-49e6-a963-cdfe8797cf43' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-04b3e6f3-223a-49e6-a963-cdfe8797cf43' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e1ec4da-a846-4057-886c-6130495a2b13' class='xr-var-data-in' type='checkbox'><label for='data-7e1ec4da-a846-4057-886c-6130495a2b13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degrees east</dd></dl></div><div class='xr-var-data'><pre>array([131.15005])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6d1a6f06-f92a-409d-8180-563f4a8dc29b' class='xr-section-summary-in' type='checkbox'  ><label for='section-6d1a6f06-f92a-409d-8180-563f4a8dc29b' class='xr-section-summary' >Data variables: <span>(143)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>Ah</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ca269b15-5ab0-4457-83d9-aec0d0e2ee9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ca269b15-5ab0-4457-83d9-aec0d0e2ee9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-820f597a-b66c-4ed4-a50b-1a858923ae95' class='xr-var-data-in' type='checkbox'><label for='data-820f597a-b66c-4ed4-a50b-1a858923ae95' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>1,35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2681,7 +2522,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-78b3d232-ad8f-4aa3-acc6-d8bb70474f3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-78b3d232-ad8f-4aa3-acc6-d8bb70474f3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fd3ec22-6dc9-4e58-9015-4174e9c71912' class='xr-var-data-in' type='checkbox'><label for='data-6fd3ec22-6dc9-4e58-9015-4174e9c71912' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>AhQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8d7786ba-1e3a-47f0-8d60-682b71dfee57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8d7786ba-1e3a-47f0-8d60-682b71dfee57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b9ef367c-eb53-463c-97a1-4951191d268e' class='xr-var-data-in' type='checkbox'><label for='data-b9ef367c-eb53-463c-97a1-4951191d268e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>AhQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2739,7 +2580,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_23m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f7542a1e-66d9-46bd-b975-5b192d44b04e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7542a1e-66d9-46bd-b975-5b192d44b04e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6095a109-8ead-4691-bc24-a31b251adb3f' class='xr-var-data-in' type='checkbox'><label for='data-6095a109-8ead-4691-bc24-a31b251adb3f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>73</dd><dt><span>coverage_L4 :</span></dt><dd>73</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>5,30</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_23m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c999512e-ea8f-4591-a958-7b3f6bc5753d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c999512e-ea8f-4591-a958-7b3f6bc5753d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2f97818e-ee90-4a5a-95eb-5a8d0230eaf6' class='xr-var-data-in' type='checkbox'><label for='data-2f97818e-ee90-4a5a-95eb-5a8d0230eaf6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>73</dd><dt><span>coverage_L4 :</span></dt><dd>73</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>5,30</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2797,7 +2638,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_23m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-44e560ab-e77e-43de-8cb4-fff422fd37d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44e560ab-e77e-43de-8cb4-fff422fd37d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0c29d33-e02b-40ab-8e3c-3aa8db1d6de3' class='xr-var-data-in' type='checkbox'><label for='data-a0c29d33-e02b-40ab-8e3c-3aa8db1d6de3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_HMP_23mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_23m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-802d1e4d-5643-4243-8e95-651f21998e27' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-802d1e4d-5643-4243-8e95-651f21998e27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a7de75d-4958-410f-947e-113d203f0ef1' class='xr-var-data-in' type='checkbox'><label for='data-3a7de75d-4958-410f-947e-113d203f0ef1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_HMP_23mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2855,7 +2696,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7ffb24f1-553d-4459-82a4-857202bcc6a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ffb24f1-553d-4459-82a4-857202bcc6a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a904431-24d7-45c0-8bfc-2f584742742f' class='xr-var-data-in' type='checkbox'><label for='data-8a904431-24d7-45c0-8bfc-2f584742742f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>66</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>2,30</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a7994600-5b50-4b82-8da6-702e80951758' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a7994600-5b50-4b82-8da6-702e80951758' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6b33db4e-8c0a-4c58-b951-67eba5346718' class='xr-var-data-in' type='checkbox'><label for='data-6b33db4e-8c0a-4c58-b951-67eba5346718' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>66</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>2,30</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2913,7 +2754,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_2m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-261c0ae5-9555-4fe7-b5d2-14083ab9c7bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-261c0ae5-9555-4fe7-b5d2-14083ab9c7bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43c0d883-04cf-4bfd-be62-cf5143029f2a' class='xr-var-data-in' type='checkbox'><label for='data-43c0d883-04cf-4bfd-be62-cf5143029f2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_HMP_2mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_HMP_2m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4e7bb94a-c88c-456f-abd8-76e956f7679b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e7bb94a-c88c-456f-abd8-76e956f7679b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c65c6aba-5a7b-40a7-81b3-12394fc2676f' class='xr-var-data-in' type='checkbox'><label for='data-c65c6aba-5a7b-40a7-81b3-12394fc2676f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_HMP_2mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -2971,7 +2812,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-81a35ac8-626b-406d-92d2-e75c12a1379a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-81a35ac8-626b-406d-92d2-e75c12a1379a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aff71c86-515c-47d7-b690-30e2e2d334ed' class='xr-var-data-in' type='checkbox'><label for='data-aff71c86-515c-47d7-b690-30e2e2d334ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>76</dd><dt><span>coverage_L4 :</span></dt><dd>76</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>2,35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-393aa1f1-6f34-4a1c-a4ee-6d843ff2a186' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-393aa1f1-6f34-4a1c-a4ee-6d843ff2a186' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bfebf0c9-3fa4-4974-b88a-e38d1df0c0dc' class='xr-var-data-in' type='checkbox'><label for='data-bfebf0c9-3fa4-4974-b88a-e38d1df0c0dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>76</dd><dt><span>coverage_L4 :</span></dt><dd>76</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>2,35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3029,7 +2870,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-cdb0271a-1088-4985-ba50-43c39647ca5a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cdb0271a-1088-4985-ba50-43c39647ca5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-38aa8671-2ad8-46a8-9f0e-5a2a584020f3' class='xr-var-data-in' type='checkbox'><label for='data-38aa8671-2ad8-46a8-9f0e-5a2a584020f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b80849ad-cfc0-4d16-8c11-93267e51b654' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b80849ad-cfc0-4d16-8c11-93267e51b654' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7eb8e56-ec60-4499-86a6-bc7f8b0d4ceb' class='xr-var-data-in' type='checkbox'><label for='data-c7eb8e56-ec60-4499-86a6-bc7f8b0d4ceb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3087,7 +2928,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Sd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-30cdbd00-81ed-48a0-9544-302650ff0935' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-30cdbd00-81ed-48a0-9544-302650ff0935' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c7360e37-27ff-48b6-a170-69b1a9379e22' class='xr-var-data-in' type='checkbox'><label for='data-c7360e37-27ff-48b6-a170-69b1a9379e22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>84</dd><dt><span>coverage_L4 :</span></dt><dd>84</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>0,20</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Sd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-abd440e3-2c68-42bb-a3e5-d8ad34f31e70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-abd440e3-2c68-42bb-a3e5-d8ad34f31e70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f4fa948f-c572-4c64-ad0c-a90b8e78f45f' class='xr-var-data-in' type='checkbox'><label for='data-f4fa948f-c572-4c64-ad0c-a90b8e78f45f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>84</dd><dt><span>coverage_L4 :</span></dt><dd>84</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>g/m3</dd><dt><span>valid_range :</span></dt><dd>0,20</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3145,7 +2986,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Sd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4fd2eafe-98b3-4415-a2c7-4892b0390e9c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fd2eafe-98b3-4415-a2c7-4892b0390e9c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce27c9bf-99e2-4598-9755-4f4ff2b37bb7' class='xr-var-data-in' type='checkbox'><label for='data-ce27c9bf-99e2-4598-9755-4f4ff2b37bb7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_SdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Sd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0320d984-a539-4276-9350-67300f66007f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0320d984-a539-4276-9350-67300f66007f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-193b59e6-7a2b-461d-b3d6-16c381855f88' class='xr-var-data-in' type='checkbox'><label for='data-193b59e6-7a2b-461d-b3d6-16c381855f88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_SdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3203,7 +3044,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-aa23bcf3-f268-4eca-949e-cac9a0ca5e0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa23bcf3-f268-4eca-949e-cac9a0ca5e0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2644404b-b403-4ad0-9c5f-b5b7ca9b21c9' class='xr-var-data-in' type='checkbox'><label for='data-2644404b-b403-4ad0-9c5f-b5b7ca9b21c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>(g/m3)2</dd><dt><span>valid_range :</span></dt><dd>0,400</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f3ab1060-b94a-4c02-8688-acc00c62ef54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3ab1060-b94a-4c02-8688-acc00c62ef54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a3f2587-1c45-4e67-9900-1a3f222cf3e1' class='xr-var-data-in' type='checkbox'><label for='data-0a3f2587-1c45-4e67-9900-1a3f222cf3e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Absolute humidity</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>(g/m3)2</dd><dt><span>valid_range :</span></dt><dd>0,400</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3261,7 +3102,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e3681d44-38d7-4b65-9684-5a21284a98c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e3681d44-38d7-4b65-9684-5a21284a98c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97794d0e-faf7-48d5-b1db-39d5e51bdde1' class='xr-var-data-in' type='checkbox'><label for='data-97794d0e-faf7-48d5-b1db-39d5e51bdde1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ah_IRGA_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5b76088b-87a7-4abc-93d5-fba33e93cf69' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b76088b-87a7-4abc-93d5-fba33e93cf69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6dcce33d-a867-4337-b9d0-f82a230d8246' class='xr-var-data-in' type='checkbox'><label for='data-6dcce33d-a867-4337-b9d0-f82a230d8246' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ah_IRGA_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3319,7 +3160,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4f78f5df-eba0-4eea-bfa4-afd484c325b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f78f5df-eba0-4eea-bfa4-afd484c325b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e42a497-9d76-4aa7-9151-94c03f62aef2' class='xr-var-data-in' type='checkbox'><label for='data-2e42a497-9d76-4aa7-9151-94c03f62aef2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_carbon_dioxide_in_air</dd><dt><span>units :</span></dt><dd>umol/mol</dd><dt><span>valid_range :</span></dt><dd>250,520</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6aa54ef2-1e1a-4ad3-95c2-69700eaf8267' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aa54ef2-1e1a-4ad3-95c2-69700eaf8267' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a12a660b-c9ba-4b53-b3da-eb069bef7bc9' class='xr-var-data-in' type='checkbox'><label for='data-a12a660b-c9ba-4b53-b3da-eb069bef7bc9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_carbon_dioxide_in_air</dd><dt><span>units :</span></dt><dd>umol/mol</dd><dt><span>valid_range :</span></dt><dd>250,520</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3377,7 +3218,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-049c44c9-c6e6-4bb8-a83d-caa5a0ffe0c0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-049c44c9-c6e6-4bb8-a83d-caa5a0ffe0c0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9718f63e-2f20-4532-a49f-df8f7b5021b6' class='xr-var-data-in' type='checkbox'><label for='data-9718f63e-2f20-4532-a49f-df8f7b5021b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2QC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-de0750c9-3e09-407a-a225-34ae41f445ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de0750c9-3e09-407a-a225-34ae41f445ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71a3413b-23e4-4ac4-b41a-b3bb55d5b3af' class='xr-var-data-in' type='checkbox'><label for='data-71a3413b-23e4-4ac4-b41a-b3bb55d5b3af' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2QC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3435,7 +3276,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-94b1f877-a64e-4bf3-a894-a87d57e7085c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94b1f877-a64e-4bf3-a894-a87d57e7085c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdf05487-0bfc-4f87-ac71-4258aa6ec3c4' class='xr-var-data-in' type='checkbox'><label for='data-fdf05487-0bfc-4f87-ac71-4258aa6ec3c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>77</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>valid_range :</span></dt><dd>500,900</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7c9ba429-cfc9-4ff5-9261-edb744e18a94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c9ba429-cfc9-4ff5-9261-edb744e18a94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e141fe1-bf34-4026-8b02-d0930106872c' class='xr-var-data-in' type='checkbox'><label for='data-9e141fe1-bf34-4026-8b02-d0930106872c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>77</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>valid_range :</span></dt><dd>500,900</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3493,7 +3334,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-946606f9-e9c3-4ca2-b114-b9211d1e85e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-946606f9-e9c3-4ca2-b114-b9211d1e85e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb4326b3-de69-47d5-a058-bb2962b1c50c' class='xr-var-data-in' type='checkbox'><label for='data-bb4326b3-de69-47d5-a058-bb2962b1c50c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3f20d149-dea7-4f59-a66a-ba92b6a96676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3f20d149-dea7-4f59-a66a-ba92b6a96676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d047e384-7c03-4827-9e36-4bacaf9c4e0f' class='xr-var-data-in' type='checkbox'><label for='data-d047e384-7c03-4827-9e36-4bacaf9c4e0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3551,7 +3392,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Sd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7f3e4651-ec05-4ab2-937f-cec9b504f5f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f3e4651-ec05-4ab2-937f-cec9b504f5f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9ce8186c-e925-43a6-bdd9-24c32ac7f5fb' class='xr-var-data-in' type='checkbox'><label for='data-9ce8186c-e925-43a6-bdd9-24c32ac7f5fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>valid_range :</span></dt><dd>0,100</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Sd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-76f10f86-cf5e-4555-85f3-5b6e08185cfd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76f10f86-cf5e-4555-85f3-5b6e08185cfd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c015ec55-21a9-468a-ba81-84ca88e12909' class='xr-var-data-in' type='checkbox'><label for='data-c015ec55-21a9-468a-ba81-84ca88e12909' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mg/m3</dd><dt><span>valid_range :</span></dt><dd>0,100</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3609,7 +3450,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Sd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c9702fc7-d957-400d-bd0f-6eb54be93e85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c9702fc7-d957-400d-bd0f-6eb54be93e85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9227ea93-927a-43a0-8ed0-8c76cc0a0966' class='xr-var-data-in' type='checkbox'><label for='data-9227ea93-927a-43a0-8ed0-8c76cc0a0966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_SdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Sd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-37f252a7-6465-4f6d-a4f7-859e1144c0ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37f252a7-6465-4f6d-a4f7-859e1144c0ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f448be1-643b-469a-9e61-2dd54c81458a' class='xr-var-data-in' type='checkbox'><label for='data-1f448be1-643b-469a-9e61-2dd54c81458a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_SdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3667,7 +3508,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-fb65b75b-2942-4acf-b914-3640faafbd14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb65b75b-2942-4acf-b914-3640faafbd14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc1df178-f33a-4680-9d34-68d855c2df50' class='xr-var-data-in' type='checkbox'><label for='data-bc1df178-f33a-4680-9d34-68d855c2df50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>(mg/m3)2</dd><dt><span>valid_range :</span></dt><dd>0,10000</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3c4ded60-8a44-447c-b0a7-709b29a7ca35' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c4ded60-8a44-447c-b0a7-709b29a7ca35' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5348cab7-6034-4baf-83b7-dc5cff462141' class='xr-var-data-in' type='checkbox'><label for='data-5348cab7-6034-4baf-83b7-dc5cff462141' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>CO2 concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>(mg/m3)2</dd><dt><span>valid_range :</span></dt><dd>0,10000</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3725,7 +3566,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3c51189e-83c1-444a-8cc1-d5323a385c52' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3c51189e-83c1-444a-8cc1-d5323a385c52' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2fd9dce-344e-4886-b3de-7ee459230068' class='xr-var-data-in' type='checkbox'><label for='data-a2fd9dce-344e-4886-b3de-7ee459230068' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CO2_IRGA_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8b958a68-0b62-40cc-b82d-8602cb84c0f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b958a68-0b62-40cc-b82d-8602cb84c0f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcb6337c-2d99-4731-9ef1-46caace0a619' class='xr-var-data-in' type='checkbox'><label for='data-fcb6337c-2d99-4731-9ef1-46caace0a619' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>CO2_IRGA_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3783,7 +3624,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fa</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ec94eb1d-b351-44f8-b0af-267bd143974b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec94eb1d-b351-44f8-b0af-267bd143974b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c37426d6-1bea-4f09-937e-8f307eef4045' class='xr-var-data-in' type='checkbox'><label for='data-c37426d6-1bea-4f09-937e-8f307eef4045' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Available energy</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-570.0,924.2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fa</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c54633cc-e5b6-4131-bd43-ddd7d5eee935' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c54633cc-e5b6-4131-bd43-ddd7d5eee935' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1729557b-1a9a-4a5f-9e7d-7b6dc9a18e9e' class='xr-var-data-in' type='checkbox'><label for='data-1729557b-1a9a-4a5f-9e7d-7b6dc9a18e9e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Available energy</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-570.0,924.2</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3841,7 +3682,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fa_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-fe62bb63-8bbc-4c9b-a2fe-37f5679cd47d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe62bb63-8bbc-4c9b-a2fe-37f5679cd47d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7373c722-e86a-4b87-b286-5d252420706b' class='xr-var-data-in' type='checkbox'><label for='data-7373c722-e86a-4b87-b286-5d252420706b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fa_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-87ed91fe-9805-4408-8480-95feed39b27d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-87ed91fe-9805-4408-8480-95feed39b27d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5b174796-149d-4ae0-9147-2e9dff41f26b' class='xr-var-data-in' type='checkbox'><label for='data-5b174796-149d-4ae0-9147-2e9dff41f26b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3899,7 +3740,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8cc267f1-130b-4e54-8a40-e03196c03764' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cc267f1-130b-4e54-8a40-e03196c03764' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0497fe3f-aaba-47e2-a1e8-afcd218293bb' class='xr-var-data-in' type='checkbox'><label for='data-0497fe3f-aaba-47e2-a1e8-afcd218293bb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>72</dd><dt><span>coverage_L4 :</span></dt><dd>72</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>umol/m2/s</dd><dt><span>valid_range :</span></dt><dd>-100,60</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-66f220dc-d56d-444e-947f-6c27d95d134d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66f220dc-d56d-444e-947f-6c27d95d134d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e3acb88b-4b6b-41a9-a436-9c250142c35d' class='xr-var-data-in' type='checkbox'><label for='data-e3acb88b-4b6b-41a9-a436-9c250142c35d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>72</dd><dt><span>coverage_L4 :</span></dt><dd>72</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>umol/m2/s</dd><dt><span>valid_range :</span></dt><dd>-100,60</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -3957,7 +3798,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6858e113-c155-4845-b4fd-68eebfb0e330' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6858e113-c155-4845-b4fd-68eebfb0e330' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9082dac-0bbd-4c7d-814d-15c9e3b6789d' class='xr-var-data-in' type='checkbox'><label for='data-c9082dac-0bbd-4c7d-814d-15c9e3b6789d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FcQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5fb84d22-5872-4577-b7f3-a9a098d54d08' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5fb84d22-5872-4577-b7f3-a9a098d54d08' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3756844a-2a63-436d-96bd-c207115eadfe' class='xr-var-data-in' type='checkbox'><label for='data-3756844a-2a63-436d-96bd-c207115eadfe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FcQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4015,7 +3856,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_single</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-60cb6e76-243a-4de4-96f1-da0015397323' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60cb6e76-243a-4de4-96f1-da0015397323' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3648cba-36f3-4ed3-ab2a-67458f8e3f12' class='xr-var-data-in' type='checkbox'><label for='data-b3648cba-36f3-4ed3-ab2a-67458f8e3f12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>76</dd><dt><span>coverage_L4 :</span></dt><dd>76</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 flux (storage term)</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>umol/m2/s</dd><dt><span>valid_range :</span></dt><dd>-48.79,46.2</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_single</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e6f7288e-d891-4532-a631-2914e1d2f56d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6f7288e-d891-4532-a631-2914e1d2f56d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d335f2c-f24c-4b0c-afb6-d75f45bdfed6' class='xr-var-data-in' type='checkbox'><label for='data-9d335f2c-f24c-4b0c-afb6-d75f45bdfed6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>76</dd><dt><span>coverage_L4 :</span></dt><dd>76</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>CO2 flux (storage term)</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>umol/m2/s</dd><dt><span>valid_range :</span></dt><dd>-48.79,46.2</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4073,7 +3914,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_single_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-aac91df6-2c83-4fc9-95bf-4c9416706188' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aac91df6-2c83-4fc9-95bf-4c9416706188' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-033debea-60fc-496a-87cf-f53049a4bf16' class='xr-var-data-in' type='checkbox'><label for='data-033debea-60fc-496a-87cf-f53049a4bf16' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fc_singleQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fc_single_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-619b5e39-3465-4528-941a-3989a1097a81' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-619b5e39-3465-4528-941a-3989a1097a81' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cef913c-6985-409f-83ff-506277de5105' class='xr-var-data-in' type='checkbox'><label for='data-5cef913c-6985-409f-83ff-506277de5105' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fc_singleQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4131,7 +3972,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fe</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f184006c-ff1f-4a82-bbc5-08c229608f09' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f184006c-ff1f-4a82-bbc5-08c229608f09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a1377cb-9f1b-4097-9562-8a74480ebf54' class='xr-var-data-in' type='checkbox'><label for='data-0a1377cb-9f1b-4097-9562-8a74480ebf54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>74</dd><dt><span>coverage_L4 :</span></dt><dd>74</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Latent heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,1100</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fe</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f5e455ac-4b54-4897-955a-65570ef936f5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5e455ac-4b54-4897-955a-65570ef936f5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d9870580-19ef-43c9-b5eb-cb29d280f312' class='xr-var-data-in' type='checkbox'><label for='data-d9870580-19ef-43c9-b5eb-cb29d280f312' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>74</dd><dt><span>coverage_L4 :</span></dt><dd>74</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Latent heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_upward_latent_heat_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,1100</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4189,7 +4030,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fe_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5b00b071-c5a8-428c-bd7b-b58db914880b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5b00b071-c5a8-428c-bd7b-b58db914880b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a7c38ac-fca8-43a3-85d6-d685f9187e0c' class='xr-var-data-in' type='checkbox'><label for='data-3a7c38ac-fca8-43a3-85d6-d685f9187e0c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FeQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fe_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5079763a-7969-4582-8cea-3741c8b68067' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5079763a-7969-4582-8cea-3741c8b68067' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4b586f9e-f977-4376-9937-847382204612' class='xr-var-data-in' type='checkbox'><label for='data-4b586f9e-f977-4376-9937-847382204612' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FeQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4247,7 +4088,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-35c618b3-86b6-454a-ad95-b3faee57b90f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35c618b3-86b6-454a-ad95-b3faee57b90f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebc91d5c-5b01-46ff-8348-376fb543a74f' class='xr-var-data-in' type='checkbox'><label for='data-ebc91d5c-5b01-46ff-8348-376fb543a74f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>79</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>downward_heat_flux_in_soil</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,250</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ea1f297f-d8fe-4cf3-ad64-5536445ca921' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea1f297f-d8fe-4cf3-ad64-5536445ca921' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8130996d-af55-4b23-8ab8-e140314312a7' class='xr-var-data-in' type='checkbox'><label for='data-8130996d-af55-4b23-8ab8-e140314312a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>79</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>downward_heat_flux_in_soil</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,250</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4305,7 +4146,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1cf66b4a-de90-4182-ac86-9b5aaa1a6121' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1cf66b4a-de90-4182-ac86-9b5aaa1a6121' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74ccfdcf-ed76-4e1f-96c1-2233eabda53d' class='xr-var-data-in' type='checkbox'><label for='data-74ccfdcf-ed76-4e1f-96c1-2233eabda53d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FgQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-2c97f7a8-189d-4f08-bedc-1a027bd72dd3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c97f7a8-189d-4f08-bedc-1a027bd72dd3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0fa4dd7a-74db-46d3-8c6e-eed4ea1b7997' class='xr-var-data-in' type='checkbox'><label for='data-0fa4dd7a-74db-46d3-8c6e-eed4ea1b7997' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FgQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4363,7 +4204,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-05c64d0e-8b44-465c-88d8-b2d8715bb4d8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05c64d0e-8b44-465c-88d8-b2d8715bb4d8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-def622a2-c6f3-48a8-9049-8060232fb02c' class='xr-var-data-in' type='checkbox'><label for='data-def622a2-c6f3-48a8-9049-8060232fb02c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>83</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,150</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-396cafd9-6e86-4bb1-93de-116077d718f1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-396cafd9-6e86-4bb1-93de-116077d718f1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5d22f6c-a22c-49f4-bba4-e9d834ec9728' class='xr-var-data-in' type='checkbox'><label for='data-b5d22f6c-a22c-49f4-bba4-e9d834ec9728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>83</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,150</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4421,7 +4262,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-98ff7933-f071-4fa6-aefb-152be24d3e28' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-98ff7933-f071-4fa6-aefb-152be24d3e28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ce1e1536-1658-433b-9568-7d31f4d61eac' class='xr-var-data-in' type='checkbox'><label for='data-ce1e1536-1658-433b-9568-7d31f4d61eac' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b282acf1-5a4a-4a41-9c3d-efec466afe8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b282acf1-5a4a-4a41-9c3d-efec466afe8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da1cb605-6917-44d5-a937-068a3e8a2b56' class='xr-var-data-in' type='checkbox'><label for='data-da1cb605-6917-44d5-a937-068a3e8a2b56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4479,7 +4320,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c2a83d56-30e2-437a-8a5e-648320cca8ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2a83d56-30e2-437a-8a5e-648320cca8ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90f52686-66b6-47db-9c57-f9e5adc13836' class='xr-var-data-in' type='checkbox'><label for='data-90f52686-66b6-47db-9c57-f9e5adc13836' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>85</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,150</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5bb8501b-c0e4-4cd6-a97e-f81c623c1e91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5bb8501b-c0e4-4cd6-a97e-f81c623c1e91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a99b4dfa-8d25-41a9-a25a-c781e4c73a21' class='xr-var-data-in' type='checkbox'><label for='data-a99b4dfa-8d25-41a9-a25a-c781e4c73a21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>85</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,150</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4537,7 +4378,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b0aad0cf-947c-42f5-9ca0-db92035e301d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0aad0cf-947c-42f5-9ca0-db92035e301d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f4a9d2c-26e5-4fe1-a64a-06c6b0be847f' class='xr-var-data-in' type='checkbox'><label for='data-1f4a9d2c-26e5-4fe1-a64a-06c6b0be847f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4b26d4d3-2e29-4307-a355-dcc0f641f1e6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4b26d4d3-2e29-4307-a355-dcc0f641f1e6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7b88f918-011a-4942-83fb-e8991395eddf' class='xr-var-data-in' type='checkbox'><label for='data-7b88f918-011a-4942-83fb-e8991395eddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4595,7 +4436,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmc</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f0975aa1-c0e3-4fab-b1b5-31021da54f80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f0975aa1-c0e3-4fab-b1b5-31021da54f80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a4a7f7b8-6e8e-446a-af74-ea14e33093a6' class='xr-var-data-in' type='checkbox'><label for='data-a4a7f7b8-6e8e-446a-af74-ea14e33093a6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>30</dd><dt><span>coverage_L4 :</span></dt><dd>30</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,150</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmc</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-05d41b04-e158-4fff-a2cb-69dcc9befc2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05d41b04-e158-4fff-a2cb-69dcc9befc2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8931f35-4ade-49ef-bd8b-ff5eeb4ac892' class='xr-var-data-in' type='checkbox'><label for='data-f8931f35-4ade-49ef-bd8b-ff5eeb4ac892' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>30</dd><dt><span>coverage_L4 :</span></dt><dd>30</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,150</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4653,7 +4494,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmc_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3db8994f-76b8-4e20-89ef-3ba0ec4f3c11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3db8994f-76b8-4e20-89ef-3ba0ec4f3c11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7a443f90-bcd2-4c2a-ad5d-7ac4635e22cf' class='xr-var-data-in' type='checkbox'><label for='data-7a443f90-bcd2-4c2a-ad5d-7ac4635e22cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmcQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmc_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0ab9edfe-25ad-4c43-9561-1834ffc220f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0ab9edfe-25ad-4c43-9561-1834ffc220f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0159e208-3e4e-4982-9566-cd537adb30a3' class='xr-var-data-in' type='checkbox'><label for='data-0159e208-3e4e-4982-9566-cd537adb30a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmcQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4711,7 +4552,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c4e3c0e0-0fee-4262-a2c3-c27b9ec4b349' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c4e3c0e0-0fee-4262-a2c3-c27b9ec4b349' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97e77c6d-3190-4579-bdca-065917f9c229' class='xr-var-data-in' type='checkbox'><label for='data-97e77c6d-3190-4579-bdca-065917f9c229' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>53</dd><dt><span>coverage_L4 :</span></dt><dd>53</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-200,150</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1c1ac044-3a0c-4dc1-9319-ffbd2cfc1748' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c1ac044-3a0c-4dc1-9319-ffbd2cfc1748' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e057019-65a9-4ef7-8275-f131789b31a3' class='xr-var-data-in' type='checkbox'><label for='data-2e057019-65a9-4ef7-8275-f131789b31a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>53</dd><dt><span>coverage_L4 :</span></dt><dd>53</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Huskeflux HFP01</dd><dt><span>long_name :</span></dt><dd>Ground heat flux</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-200,150</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4769,7 +4610,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c629754a-b1fd-4bda-8fdc-2679d4389d30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c629754a-b1fd-4bda-8fdc-2679d4389d30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71952feb-7976-4b6f-86f5-1bd7f8023e4c' class='xr-var-data-in' type='checkbox'><label for='data-71952feb-7976-4b6f-86f5-1bd7f8023e4c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fg_8cmd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-eb0d9b86-ff45-476a-b7c8-ac837b1aa5d0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb0d9b86-ff45-476a-b7c8-ac837b1aa5d0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c4c7e22-4599-4525-a9d3-22e73d1a12e9' class='xr-var-data-in' type='checkbox'><label for='data-6c4c7e22-4599-4525-a9d3-22e73d1a12e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fg_8cmdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4827,7 +4668,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fh</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e7d82b97-9a72-457f-b48d-b47bdb115f70' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7d82b97-9a72-457f-b48d-b47bdb115f70' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-881ab9d4-bd4c-49b0-90b1-2e5476e9beef' class='xr-var-data-in' type='checkbox'><label for='data-881ab9d4-bd4c-49b0-90b1-2e5476e9beef' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>74</dd><dt><span>coverage_L4 :</span></dt><dd>74</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Sensible heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,700</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fh</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-bfbf0264-7b90-4f58-9f98-f77d54f3b98f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfbf0264-7b90-4f58-9f98-f77d54f3b98f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0a4faaf-6ce1-497b-9620-2d263970bd23' class='xr-var-data-in' type='checkbox'><label for='data-c0a4faaf-6ce1-497b-9620-2d263970bd23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>74</dd><dt><span>coverage_L4 :</span></dt><dd>74</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Sensible heat flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_upward_sensible_heat_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-100,700</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4885,7 +4726,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fh_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-29c41665-d7ab-417e-b6b8-ef866a625af6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29c41665-d7ab-417e-b6b8-ef866a625af6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-74fba3da-28da-4fae-b02b-9bab61692d0e' class='xr-var-data-in' type='checkbox'><label for='data-74fba3da-28da-4fae-b02b-9bab61692d0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FhQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fh_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-54599071-2d1b-4d65-98e2-73baf227dd01' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54599071-2d1b-4d65-98e2-73baf227dd01' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00de62a6-cda0-4e02-a0be-92f6499ce7da' class='xr-var-data-in' type='checkbox'><label for='data-00de62a6-cda0-4e02-a0be-92f6499ce7da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FhQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -4943,7 +4784,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a8df1c50-54ae-4e92-b714-5ccd1c6a0e6e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8df1c50-54ae-4e92-b714-5ccd1c6a0e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2257458c-3d56-466a-87c5-bc39edb4374a' class='xr-var-data-in' type='checkbox'><label for='data-2257458c-3d56-466a-87c5-bc39edb4374a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>96</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Down-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>250,550</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-cc706802-ff4b-4dbd-8cc3-1be061198041' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc706802-ff4b-4dbd-8cc3-1be061198041' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fb1b004-1389-403b-a41c-cee736e71641' class='xr-var-data-in' type='checkbox'><label for='data-7fb1b004-1389-403b-a41c-cee736e71641' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>96</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Down-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>250,550</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5001,7 +4842,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-cc94df0c-5f23-40da-8431-eb6232297fc3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cc94df0c-5f23-40da-8431-eb6232297fc3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44b32abe-b965-4182-b40f-b6d945a7ce43' class='xr-var-data-in' type='checkbox'><label for='data-44b32abe-b965-4182-b40f-b6d945a7ce43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FldQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-caae267e-1e88-42ee-829e-9d487c247b8c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-caae267e-1e88-42ee-829e-9d487c247b8c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a24916ab-b731-448e-bbbe-d276f9acc047' class='xr-var-data-in' type='checkbox'><label for='data-a24916ab-b731-448e-bbbe-d276f9acc047' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FldQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5059,7 +4900,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-dec50dd1-3967-4f9e-b235-46432a83460e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dec50dd1-3967-4f9e-b235-46432a83460e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3768167-b92c-4e9d-95c6-5bf503dba188' class='xr-var-data-in' type='checkbox'><label for='data-b3768167-b92c-4e9d-95c6-5bf503dba188' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>68</dd><dt><span>coverage_L4 :</span></dt><dd>68</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>250,700</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0edf5cef-f628-4804-a8cb-a2e57a530516' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0edf5cef-f628-4804-a8cb-a2e57a530516' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8f10ff31-4495-41ed-980c-90ca8b7dcc5a' class='xr-var-data-in' type='checkbox'><label for='data-8f10ff31-4495-41ed-980c-90ca8b7dcc5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>68</dd><dt><span>coverage_L4 :</span></dt><dd>68</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>250,700</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5117,7 +4958,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-2c3d14a5-0b4b-4b35-8783-2a45ef1bf387' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c3d14a5-0b4b-4b35-8783-2a45ef1bf387' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ebe218f-e9d4-46c8-b704-c424a5a03ba1' class='xr-var-data-in' type='checkbox'><label for='data-3ebe218f-e9d4-46c8-b704-c424a5a03ba1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fld_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fld_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-05db9fbe-a229-4afa-a50d-6bece4ed1227' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05db9fbe-a229-4afa-a50d-6bece4ed1227' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62e0142f-9b3a-4335-ad1c-fbc4061e8f4f' class='xr-var-data-in' type='checkbox'><label for='data-62e0142f-9b3a-4335-ad1c-fbc4061e8f4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fld_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5175,7 +5016,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-744a9c5d-7b65-407b-81a4-4e7b4dc7f548' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-744a9c5d-7b65-407b-81a4-4e7b4dc7f548' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a8a9f66-11fe-4516-ab46-59834865a636' class='xr-var-data-in' type='checkbox'><label for='data-3a8a9f66-11fe-4516-ab46-59834865a636' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>60</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Up-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>300,700</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-130ed167-9374-47c4-bf34-f1c1986114e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-130ed167-9374-47c4-bf34-f1c1986114e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-877ce9ed-6eea-4763-ba48-54c718b2d1b4' class='xr-var-data-in' type='checkbox'><label for='data-877ce9ed-6eea-4763-ba48-54c718b2d1b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>60</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Up-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>300,700</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5233,7 +5074,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e0ec3730-e2c2-4f34-a29c-8ea1b9fbbaff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0ec3730-e2c2-4f34-a29c-8ea1b9fbbaff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41a1f063-7e15-4471-8a0d-cf39218a1888' class='xr-var-data-in' type='checkbox'><label for='data-41a1f063-7e15-4471-8a0d-cf39218a1888' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FluQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9d0af5b3-0738-4f11-a7f2-db6b54990697' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9d0af5b3-0738-4f11-a7f2-db6b54990697' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee8dfe70-de79-437c-977d-039b34146aa1' class='xr-var-data-in' type='checkbox'><label for='data-ee8dfe70-de79-437c-977d-039b34146aa1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FluQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5291,7 +5132,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-786eec59-814f-4772-a0ca-b41474dbafed' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-786eec59-814f-4772-a0ca-b41474dbafed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3197ab43-961a-4433-be0e-808df7e16729' class='xr-var-data-in' type='checkbox'><label for='data-3197ab43-961a-4433-be0e-808df7e16729' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Up-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>300,700</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a8a05754-5020-47a8-81cc-9ceec692d01d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8a05754-5020-47a8-81cc-9ceec692d01d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6c69a274-c990-4473-ad47-3d469f7f086b' class='xr-var-data-in' type='checkbox'><label for='data-6c69a274-c990-4473-ad47-3d469f7f086b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Up-welling longwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_longwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>300,700</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5349,7 +5190,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ce75b725-011a-4b75-b244-b31a06d5a6b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce75b725-011a-4b75-b244-b31a06d5a6b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-42ca2d06-aea2-4d59-a8e9-f7fb5d9fa663' class='xr-var-data-in' type='checkbox'><label for='data-42ca2d06-aea2-4d59-a8e9-f7fb5d9fa663' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Flu_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Flu_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4a473603-58cc-49c3-9da9-60975d09bb78' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4a473603-58cc-49c3-9da9-60975d09bb78' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1e05fec2-5f0a-48e3-b956-44ac95420b83' class='xr-var-data-in' type='checkbox'><label for='data-1e05fec2-5f0a-48e3-b956-44ac95420b83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Flu_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5407,7 +5248,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-51ff63e5-eaab-402a-9071-48f385d970a8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51ff63e5-eaab-402a-9071-48f385d970a8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98fb948f-7c98-4264-9628-7b46868f0884' class='xr-var-data-in' type='checkbox'><label for='data-98fb948f-7c98-4264-9628-7b46868f0884' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>78</dd><dt><span>coverage_L4 :</span></dt><dd>78</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Momentum flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>kg/m/s2</dd><dt><span>valid_range :</span></dt><dd>-1,4</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8356d218-b411-4b94-8a65-472851ad4e3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8356d218-b411-4b94-8a65-472851ad4e3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3254f0e7-98b3-49f6-a654-bf829e4e0180' class='xr-var-data-in' type='checkbox'><label for='data-3254f0e7-98b3-49f6-a654-bf829e4e0180' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>78</dd><dt><span>coverage_L4 :</span></dt><dd>78</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Momentum flux</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>kg/m/s2</dd><dt><span>valid_range :</span></dt><dd>-1,4</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5465,7 +5306,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-dd4c5a56-30dd-4925-90e2-8b86e0937433' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dd4c5a56-30dd-4925-90e2-8b86e0937433' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7c32df22-f5da-49ad-89c3-e68041ad1264' class='xr-var-data-in' type='checkbox'><label for='data-7c32df22-f5da-49ad-89c3-e68041ad1264' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3411fc4e-1c8a-4b84-b8fe-bba9f29abcf8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3411fc4e-1c8a-4b84-b8fe-bba9f29abcf8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e161395-e24d-447f-8e68-cfa40d80c27e' class='xr-var-data-in' type='checkbox'><label for='data-6e161395-e24d-447f-8e68-cfa40d80c27e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5523,7 +5364,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fn</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0be0052a-eb9a-4914-9966-5690b8e0c4b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0be0052a-eb9a-4914-9966-5690b8e0c4b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c278b8b6-a7af-4fe6-8bac-094d3c86621d' class='xr-var-data-in' type='checkbox'><label for='data-c278b8b6-a7af-4fe6-8bac-094d3c86621d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>68</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Net radiation</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_net_downwawrd_radiative_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,1200</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fn</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-dc3da6f3-df84-47dd-8a6d-9a7a7be08a14' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc3da6f3-df84-47dd-8a6d-9a7a7be08a14' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3926340-f911-48d4-9525-9ec11f1ab9e7' class='xr-var-data-in' type='checkbox'><label for='data-d3926340-f911-48d4-9525-9ec11f1ab9e7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>68</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Net radiation</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>surface_net_downwawrd_radiative_flux</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-150,1200</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5581,7 +5422,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fn_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-aa79651f-af34-4849-a6f8-2af0ae2404e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa79651f-af34-4849-a6f8-2af0ae2404e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3de11d42-5dee-4966-943b-3aeca224e21e' class='xr-var-data-in' type='checkbox'><label for='data-3de11d42-5dee-4966-943b-3aeca224e21e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FnQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fn_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7157b632-9862-4d60-b4f0-1834e79b19a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7157b632-9862-4d60-b4f0-1834e79b19a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d85a1c44-43aa-46dc-9678-e15fbb253db5' class='xr-var-data-in' type='checkbox'><label for='data-d85a1c44-43aa-46dc-9678-e15fbb253db5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FnQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5639,7 +5480,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-52d84cb8-73a2-4859-8b0f-6a4f504bf053' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52d84cb8-73a2-4859-8b0f-6a4f504bf053' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-27c38e14-312e-49c5-8aff-84cbf4fd8092' class='xr-var-data-in' type='checkbox'><label for='data-27c38e14-312e-49c5-8aff-84cbf4fd8092' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>98</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-10,1500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9aee2096-edf3-448c-9611-d724ad3733fb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9aee2096-edf3-448c-9611-d724ad3733fb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8b8cc21-1498-44b7-ac8d-850f6560ebe5' class='xr-var-data-in' type='checkbox'><label for='data-b8b8cc21-1498-44b7-ac8d-850f6560ebe5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>98</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-10,1500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5697,7 +5538,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8cc80377-0788-4a2d-9d69-046fb7f1db80' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8cc80377-0788-4a2d-9d69-046fb7f1db80' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfc14602-35d5-4f63-8a82-94a0f6bba6b6' class='xr-var-data-in' type='checkbox'><label for='data-cfc14602-35d5-4f63-8a82-94a0f6bba6b6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FsdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-370ce9af-777e-498e-9f83-33818921f355' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-370ce9af-777e-498e-9f83-33818921f355' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-056326cb-7854-4a5f-b795-8daef58fd91e' class='xr-var-data-in' type='checkbox'><label for='data-056326cb-7854-4a5f-b795-8daef58fd91e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FsdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5755,7 +5596,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e1062c15-dbb3-4076-86e4-33641e1e2c64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1062c15-dbb3-4076-86e4-33641e1e2c64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4075dcdf-cfcc-4940-a298-efc38232625c' class='xr-var-data-in' type='checkbox'><label for='data-4075dcdf-cfcc-4940-a298-efc38232625c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f6ed58fd-b8a5-493b-b74c-9e73f9b0bbb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f6ed58fd-b8a5-493b-b74c-9e73f9b0bbb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6872ac01-950b-4aac-892d-8434431f400d' class='xr-var-data-in' type='checkbox'><label for='data-6872ac01-950b-4aac-892d-8434431f400d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_downwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5813,7 +5654,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0f033746-4cac-4b18-ad75-bc6de4f9c010' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f033746-4cac-4b18-ad75-bc6de4f9c010' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a28abbc5-a215-432d-854b-181325255ff8' class='xr-var-data-in' type='checkbox'><label for='data-a28abbc5-a215-432d-854b-181325255ff8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsd_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsd_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-aa455c17-23ed-4b76-90ed-d4c8fc479e67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aa455c17-23ed-4b76-90ed-d4c8fc479e67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71c78b09-f234-45bd-835e-ca3c5040df15' class='xr-var-data-in' type='checkbox'><label for='data-71c78b09-f234-45bd-835e-ca3c5040df15' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsd_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5871,7 +5712,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddiffuse_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0c4f1fa8-a598-4f50-b974-0928169bb6ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0c4f1fa8-a598-4f50-b974-0928169bb6ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61dc9d0a-01b5-4fa4-8cbb-41e22064881d' class='xr-var-data-in' type='checkbox'><label for='data-61dc9d0a-01b5-4fa4-8cbb-41e22064881d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddiffuse_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-01608ea5-2f9c-4704-a3a7-446514358037' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01608ea5-2f9c-4704-a3a7-446514358037' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6199777b-5194-46b2-a8f7-0107b75de6f8' class='xr-var-data-in' type='checkbox'><label for='data-6199777b-5194-46b2-a8f7-0107b75de6f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5929,7 +5770,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddiffuse_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9cb4101c-c619-4114-9a76-e8a52e9eaf3e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9cb4101c-c619-4114-9a76-e8a52e9eaf3e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-56cb62fd-aab9-4088-b2d1-710caf21e8ed' class='xr-var-data-in' type='checkbox'><label for='data-56cb62fd-aab9-4088-b2d1-710caf21e8ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsddiffuse_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddiffuse_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d0936545-2109-44ce-8051-0867d60d0a64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0936545-2109-44ce-8051-0867d60d0a64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2be3d464-a8eb-4d72-b8e4-1e35d4c9c842' class='xr-var-data-in' type='checkbox'><label for='data-2be3d464-a8eb-4d72-b8e4-1e35d4c9c842' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsddiffuse_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -5987,7 +5828,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddirect_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-95293d3f-7313-4186-ab1c-c60089109561' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-95293d3f-7313-4186-ab1c-c60089109561' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d189ae82-da06-4ea9-89fb-b58164c54ec9' class='xr-var-data-in' type='checkbox'><label for='data-d189ae82-da06-4ea9-89fb-b58164c54ec9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>69</dd><dt><span>coverage_L4 :</span></dt><dd>69</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddirect_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1ba9cc1c-a069-4371-a59f-39097d5fbe25' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ba9cc1c-a069-4371-a59f-39097d5fbe25' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e81f53e-c34c-4fed-be07-2359473a197d' class='xr-var-data-in' type='checkbox'><label for='data-2e81f53e-c34c-4fed-be07-2359473a197d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>69</dd><dt><span>coverage_L4 :</span></dt><dd>69</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Down-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,1500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6045,7 +5886,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddirect_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-bbe17db8-7e05-4db7-b2e1-5fa21d7c6533' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbe17db8-7e05-4db7-b2e1-5fa21d7c6533' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-48002ea7-ee5a-446f-9c91-593033692922' class='xr-var-data-in' type='checkbox'><label for='data-48002ea7-ee5a-446f-9c91-593033692922' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsddirect_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsddirect_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-52a9f95f-3ce2-43a3-a093-a9fef5eba6df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-52a9f95f-3ce2-43a3-a093-a9fef5eba6df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5da98894-1ab3-41c4-b2f8-b2fec2c8314a' class='xr-var-data-in' type='checkbox'><label for='data-5da98894-1ab3-41c4-b2f8-b2fec2c8314a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsddirect_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6103,7 +5944,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-178eb254-52c9-418a-9704-d5faff1c37c7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-178eb254-52c9-418a-9704-d5faff1c37c7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a7645ca-018d-47ce-bd09-412dc13da6c7' class='xr-var-data-in' type='checkbox'><label for='data-0a7645ca-018d-47ce-bd09-412dc13da6c7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Up-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-10,500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-07945cc9-f738-4a82-8582-a2bee9a6aec7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07945cc9-f738-4a82-8582-a2bee9a6aec7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51fd3bcd-550f-4372-bf2a-774622088f55' class='xr-var-data-in' type='checkbox'><label for='data-51fd3bcd-550f-4372-bf2a-774622088f55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>77</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Kipp and Zonen CNR4</dd><dt><span>long_name :</span></dt><dd>Up-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-10,500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6161,7 +6002,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b3bf0cec-ef26-4725-9b1c-e50f8206c787' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3bf0cec-ef26-4725-9b1c-e50f8206c787' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a90957b1-1b83-4de7-99b8-74b457cdbd22' class='xr-var-data-in' type='checkbox'><label for='data-a90957b1-1b83-4de7-99b8-74b457cdbd22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FsuQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-90799e44-2996-4179-a096-b09101008314' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-90799e44-2996-4179-a096-b09101008314' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4bb918c6-ab83-4b36-97ec-b48d509b0052' class='xr-var-data-in' type='checkbox'><label for='data-4bb918c6-ab83-4b36-97ec-b48d509b0052' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>FsuQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6219,7 +6060,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b2731212-0459-4d36-a967-884110907009' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2731212-0459-4d36-a967-884110907009' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-103fe476-f866-4509-a115-54ac0f137ac7' class='xr-var-data-in' type='checkbox'><label for='data-103fe476-f866-4509-a115-54ac0f137ac7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Up-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,500</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_ARM</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7e88ef54-682d-44fb-b935-21cf8f01b4f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e88ef54-682d-44fb-b935-21cf8f01b4f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de71dfc-c351-46a4-a2f0-cde9fb667669' class='xr-var-data-in' type='checkbox'><label for='data-9de71dfc-c351-46a4-a2f0-cde9fb667669' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>70</dd><dt><span>coverage_L4 :</span></dt><dd>70</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>ARM program Darwin site instrument</dd><dt><span>long_name :</span></dt><dd>Up-welling shortwave</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_upwelling_shortwave_flux_in_air</dd><dt><span>units :</span></dt><dd>W/m2</dd><dt><span>valid_range :</span></dt><dd>-15,500</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6277,7 +6118,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-66561b4b-0372-4c59-bf75-c3ec399ba87c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-66561b4b-0372-4c59-bf75-c3ec399ba87c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60e08997-ad9c-49de-b99c-81848a9d9367' class='xr-var-data-in' type='checkbox'><label for='data-60e08997-ad9c-49de-b99c-81848a9d9367' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsu_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fsu_ARM_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-2baa19c3-b88b-45fa-b1aa-8cfff2a40ff6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2baa19c3-b88b-45fa-b1aa-8cfff2a40ff6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65e8bfd5-80b1-483f-80bd-8b4b69b96173' class='xr-var-data-in' type='checkbox'><label for='data-65e8bfd5-80b1-483f-80bd-8b4b69b96173' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Fsu_ARMQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6335,7 +6176,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-acc86cd1-0d4a-4ce5-a6dc-08f974a57dfe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acc86cd1-0d4a-4ce5-a6dc-08f974a57dfe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1948790-3aff-4a0e-b2fb-4e1cf93e536d' class='xr-var-data-in' type='checkbox'><label for='data-d1948790-3aff-4a0e-b2fb-4e1cf93e536d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Water vapour mixing ratio calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Water vapour mixing ratio calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>H2O concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_water_vapor_in_air</dd><dt><span>units :</span></dt><dd>mmol/mol</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-37cbd2a5-a7db-40f6-8967-450ca1479a0c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-37cbd2a5-a7db-40f6-8967-450ca1479a0c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52554862-6626-40b1-9704-afcbf660b6f2' class='xr-var-data-in' type='checkbox'><label for='data-52554862-6626-40b1-9704-afcbf660b6f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Water vapour mixing ratio calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Water vapour mixing ratio calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>H2O concentration</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>mole_concentration_of_water_vapor_in_air</dd><dt><span>units :</span></dt><dd>mmol/mol</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6393,7 +6234,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-27b59e88-5f6e-4708-8f1c-8ffb3a2eb24a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27b59e88-5f6e-4708-8f1c-8ffb3a2eb24a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-68d3ac9f-476f-447c-8fd1-51a6afdc2b03' class='xr-var-data-in' type='checkbox'><label for='data-68d3ac9f-476f-447c-8fd1-51a6afdc2b03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>H2OQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>H2O_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7e4e8a4a-d5d7-4354-9b17-9de0c040bd86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e4e8a4a-d5d7-4354-9b17-9de0c040bd86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efb0671c-f88e-43ad-a4d4-2c6b6696ff84' class='xr-var-data-in' type='checkbox'><label for='data-efb0671c-f88e-43ad-a4d4-2c6b6696ff84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>H2OQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6451,7 +6292,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8b8f429c-9f91-4075-81d7-4311bf3dc9a1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b8f429c-9f91-4075-81d7-4311bf3dc9a1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f17cb9e6-cb83-4202-9ff1-272bd654e158' class='xr-var-data-in' type='checkbox'><label for='data-f17cb9e6-cb83-4202-9ff1-272bd654e158' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>20</dd><dt><span>coverage_L4 :</span></dt><dd>20</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Monin-Obukhov length</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd></dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-eeb744ee-133b-4501-a672-83b549587911' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eeb744ee-133b-4501-a672-83b549587911' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf4d7e8b-06ba-46e0-885f-54c465de6a9b' class='xr-var-data-in' type='checkbox'><label for='data-cf4d7e8b-06ba-46e0-885f-54c465de6a9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>20</dd><dt><span>coverage_L4 :</span></dt><dd>20</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Monin-Obukhov length</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>valid_range :</span></dt><dd></dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6509,7 +6350,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c3d3a560-11d4-4d99-bf15-b46814398191' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c3d3a560-11d4-4d99-bf15-b46814398191' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08e200b-4b92-4c0f-9506-fcf3f348af54' class='xr-var-data-in' type='checkbox'><label for='data-a08e200b-4b92-4c0f-9506-fcf3f348af54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>LQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>L_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c0a43dcb-8151-4efe-8ea8-2415ff7b14ac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c0a43dcb-8151-4efe-8ea8-2415ff7b14ac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7d335a7-089e-4f65-bb07-6d068bb11749' class='xr-var-data-in' type='checkbox'><label for='data-e7d335a7-089e-4f65-bb07-6d068bb11749' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>LQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6567,7 +6408,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-bd547e41-5848-40f8-8acb-672a11f03dbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd547e41-5848-40f8-8acb-672a11f03dbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fc5a9b5d-e347-4d4e-a114-034eb322a18e' class='xr-var-data-in' type='checkbox'><label for='data-fc5a9b5d-e347-4d4e-a114-034eb322a18e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, era5, access</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>0.6m</dd><dt><span>instrument :</span></dt><dd>Hydrological Services CS7000</dd><dt><span>long_name :</span></dt><dd>Rainfall</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>valid_range :</span></dt><dd>0,50</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e56e238c-cd71-4914-acf1-05d78693b0dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e56e238c-cd71-4914-acf1-05d78693b0dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1162687a-6bef-46e3-8862-b61abb747a80' class='xr-var-data-in' type='checkbox'><label for='data-1162687a-6bef-46e3-8862-b61abb747a80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, era5, access</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>0.6m</dd><dt><span>instrument :</span></dt><dd>Hydrological Services CS7000</dd><dt><span>long_name :</span></dt><dd>Rainfall</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>mm</dd><dt><span>valid_range :</span></dt><dd>0,50</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6625,7 +6466,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-dbecc611-06d3-4f85-ada9-82e81c9641ce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dbecc611-06d3-4f85-ada9-82e81c9641ce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43dceaba-9374-4d01-aac2-d01b1e301c06' class='xr-var-data-in' type='checkbox'><label for='data-43dceaba-9374-4d01-aac2-d01b1e301c06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>PrecipQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Precip_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-811a5456-a13e-4627-a69b-5a73e6344a79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-811a5456-a13e-4627-a69b-5a73e6344a79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d41e52c6-af81-44c9-ab43-450dc0033799' class='xr-var-data-in' type='checkbox'><label for='data-d41e52c6-af81-44c9-ab43-450dc0033799' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>PrecipQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6683,7 +6524,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6ef8c667-aff9-4ef9-bd57-d0d3474aeb1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ef8c667-aff9-4ef9-bd57-d0d3474aeb1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d799c42e-7bc3-4a68-b975-ddc9fc765a5a' class='xr-var-data-in' type='checkbox'><label for='data-d799c42e-7bc3-4a68-b975-ddc9fc765a5a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Merged with RH calculated from Ah</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>10.47,105.8</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e1cd76bd-ea8b-479b-8650-d9aaf2f8cd92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1cd76bd-ea8b-479b-8650-d9aaf2f8cd92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45508551-e709-4a07-a23f-66a3d8312538' class='xr-var-data-in' type='checkbox'><label for='data-45508551-e709-4a07-a23f-66a3d8312538' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Merged with RH calculated from Ah</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Relative humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>relative_humidity</dd><dt><span>units :</span></dt><dd>%</dd><dt><span>valid_range :</span></dt><dd>10.47,105.8</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6741,7 +6582,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-912b6f4e-aac3-4b47-9763-ab402e78a52d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-912b6f4e-aac3-4b47-9763-ab402e78a52d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c094e5d-0398-4fd4-9581-7a0e78d1cc59' class='xr-var-data-in' type='checkbox'><label for='data-2c094e5d-0398-4fd4-9581-7a0e78d1cc59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>RHQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RH_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ba6fcbef-1048-434a-9c0d-f7d94a31bb24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba6fcbef-1048-434a-9c0d-f7d94a31bb24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1535ba4-2884-42fa-ab24-820d5c168c67' class='xr-var-data-in' type='checkbox'><label for='data-d1535ba4-2884-42fa-ab24-820d5c168c67' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>RHQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6799,7 +6640,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SH</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d0da2f31-8ab4-4948-b255-e8afe6136612' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d0da2f31-8ab4-4948-b255-e8afe6136612' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f537b8f4-c459-4868-8d0c-ddbe7590424c' class='xr-var-data-in' type='checkbox'><label for='data-f537b8f4-c459-4868-8d0c-ddbe7590424c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Merged with q calculated from Ah</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>valid_range :</span></dt><dd>0.003308,0.02251</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SH</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e433147d-a9f0-4a22-a656-6b77277b9ae5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e433147d-a9f0-4a22-a656-6b77277b9ae5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d80e627-0e07-4740-85db-4ad1bc978ebd' class='xr-var-data-in' type='checkbox'><label for='data-5d80e627-0e07-4740-85db-4ad1bc978ebd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Merged with q calculated from Ah</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Specific humidity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>specific_humidity</dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>valid_range :</span></dt><dd>0.003308,0.02251</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6857,7 +6698,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SH_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-462c924a-0259-4dce-99ea-f6141c2def34' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-462c924a-0259-4dce-99ea-f6141c2def34' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4755ab03-acf3-4a77-b9ea-f2878c5fd618' class='xr-var-data-in' type='checkbox'><label for='data-4755ab03-acf3-4a77-b9ea-f2878c5fd618' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SHQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SH_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-99124c5a-a356-4f5d-bd0c-c1509144640d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-99124c5a-a356-4f5d-bd0c-c1509144640d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b02b71e9-06c4-4ed7-88cb-d05b10c70573' class='xr-var-data-in' type='checkbox'><label for='data-b02b71e9-06c4-4ed7-88cb-d05b10c70573' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SHQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6915,7 +6756,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHD</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8bc1e012-f901-4107-b19b-dada9b723be9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8bc1e012-f901-4107-b19b-dada9b723be9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13a7aab6-480d-4a94-bbfa-bc99f283ad25' class='xr-var-data-in' type='checkbox'><label for='data-13a7aab6-480d-4a94-bbfa-bc99f283ad25' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Specific humidity deficit calculated from SH, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Specific humidity deficit calculated from SH, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Specific humidity deficit</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHD</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b1800dda-2fcd-4e96-a372-a7333d35a715' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b1800dda-2fcd-4e96-a372-a7333d35a715' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aa85609f-632c-49a7-a5c1-b2359f41037a' class='xr-var-data-in' type='checkbox'><label for='data-aa85609f-632c-49a7-a5c1-b2359f41037a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>83</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Specific humidity deficit calculated from SH, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Specific humidity deficit calculated from SH, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Specific humidity deficit</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd></dd><dt><span>units :</span></dt><dd>kg/kg</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -6973,7 +6814,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHD_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5d1f0624-6b58-4f89-80d0-64db7172f589' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d1f0624-6b58-4f89-80d0-64db7172f589' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00957cda-9a65-434a-bbd9-cc9c8796e5b4' class='xr-var-data-in' type='checkbox'><label for='data-00957cda-9a65-434a-bbd9-cc9c8796e5b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SHDQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SHD_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-469da106-9445-4250-92df-fe2c6591ff15' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-469da106-9445-4250-92df-fe2c6591ff15' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa791015-b1f9-4889-9148-72c9d57d30fa' class='xr-var-data-in' type='checkbox'><label for='data-fa791015-b1f9-4889-9148-72c9d57d30fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SHDQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7031,7 +6872,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-00522463-0163-4162-8453-ae1d45873ef6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00522463-0163-4162-8453-ae1d45873ef6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e148584-66bd-43af-b2de-0061c088eb1a' class='xr-var-data-in' type='checkbox'><label for='data-5e148584-66bd-43af-b2de-0061c088eb1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.01,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6bfc4348-95f5-452a-965d-3842183bef76' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6bfc4348-95f5-452a-965d-3842183bef76' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71162426-d157-4887-9a8c-95e1cf27f2ff' class='xr-var-data-in' type='checkbox'><label for='data-71162426-d157-4887-9a8c-95e1cf27f2ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.01,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7089,7 +6930,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b21879db-543b-4d08-86b0-62535ce8da91' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b21879db-543b-4d08-86b0-62535ce8da91' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b16aeb4d-c76b-4c69-8d7d-c7881c9263db' class='xr-var-data-in' type='checkbox'><label for='data-b16aeb4d-c76b-4c69-8d7d-c7881c9263db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SwsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7d1fb056-b4b5-4cdc-8a7d-d42d7ef2f1dc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d1fb056-b4b5-4cdc-8a7d-d42d7ef2f1dc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa8c4680-89ac-470e-ba63-59d81221790f' class='xr-var-data-in' type='checkbox'><label for='data-fa8c4680-89ac-470e-ba63-59d81221790f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SwsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7147,7 +6988,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws100cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6e10152d-e9ae-480b-a012-da317416c8df' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e10152d-e9ae-480b-a012-da317416c8df' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2cc1eb45-7723-4a0a-98c8-29be2582511e' class='xr-var-data-in' type='checkbox'><label for='data-2cc1eb45-7723-4a0a-98c8-29be2582511e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>67</dd><dt><span>coverage_L4 :</span></dt><dd>67</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.00m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws100cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-040c19eb-f943-40dc-b691-f0dac3fde311' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-040c19eb-f943-40dc-b691-f0dac3fde311' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8cae6465-d94d-4a5b-b17f-ae57f7315592' class='xr-var-data-in' type='checkbox'><label for='data-8cae6465-d94d-4a5b-b17f-ae57f7315592' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>67</dd><dt><span>coverage_L4 :</span></dt><dd>67</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.00m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7205,7 +7046,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws100cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-aea4f082-3213-4dc4-8eff-80144cc765ad' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aea4f082-3213-4dc4-8eff-80144cc765ad' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-516f58ce-2e60-45d4-875c-a0e932e2ed6b' class='xr-var-data-in' type='checkbox'><label for='data-516f58ce-2e60-45d4-875c-a0e932e2ed6b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws100cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws100cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-bf75fb44-5673-4081-b235-9425944a2269' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf75fb44-5673-4081-b235-9425944a2269' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95887d6a-dd46-48bc-9c9d-e892023234a1' class='xr-var-data-in' type='checkbox'><label for='data-95887d6a-dd46-48bc-9c9d-e892023234a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws100cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7263,7 +7104,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws120cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-bbd399dd-f215-42fc-8396-4491120039aa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bbd399dd-f215-42fc-8396-4491120039aa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26aa6dc0-d15a-4f50-aa3a-e0498698f6fd' class='xr-var-data-in' type='checkbox'><label for='data-26aa6dc0-d15a-4f50-aa3a-e0498698f6fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>39</dd><dt><span>coverage_L4 :</span></dt><dd>39</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws120cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3a28896d-01c5-479f-919c-75a664073780' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a28896d-01c5-479f-919c-75a664073780' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-844254a5-7cbc-4984-b0be-7f79f7bcbb43' class='xr-var-data-in' type='checkbox'><label for='data-844254a5-7cbc-4984-b0be-7f79f7bcbb43' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>39</dd><dt><span>coverage_L4 :</span></dt><dd>39</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7321,7 +7162,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws120cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-494affba-ae6b-497e-ab0e-1a04b867238e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-494affba-ae6b-497e-ab0e-1a04b867238e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6f52766f-e6e0-402b-922c-2f2fdbb4bde6' class='xr-var-data-in' type='checkbox'><label for='data-6f52766f-e6e0-402b-922c-2f2fdbb4bde6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws120cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws120cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0bb38ee8-b971-4f77-be7b-2da53bfc5698' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bb38ee8-b971-4f77-be7b-2da53bfc5698' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00c92ecb-c443-4356-bd09-920d151d7667' class='xr-var-data-in' type='checkbox'><label for='data-00c92ecb-c443-4356-bd09-920d151d7667' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws120cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7379,7 +7220,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws140cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9eb0c163-0656-48e4-bd17-c168644caa63' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9eb0c163-0656-48e4-bd17-c168644caa63' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb19e822-a4cd-4443-8bba-3b508a5642a5' class='xr-var-data-in' type='checkbox'><label for='data-eb19e822-a4cd-4443-8bba-3b508a5642a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws140cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-85a2d07b-7f2f-413e-9314-998991d775e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85a2d07b-7f2f-413e-9314-998991d775e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8f2905e-e8b1-45cb-9a8c-ed156f4613fb' class='xr-var-data-in' type='checkbox'><label for='data-f8f2905e-e8b1-45cb-9a8c-ed156f4613fb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7437,7 +7278,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws140cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7f63c4fb-ad50-42ec-9eed-015e3f1e21da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f63c4fb-ad50-42ec-9eed-015e3f1e21da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8db4604e-8c1f-4653-a620-8f493656a9d5' class='xr-var-data-in' type='checkbox'><label for='data-8db4604e-8c1f-4653-a620-8f493656a9d5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws140cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws140cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-65cbd467-37b2-41bd-a721-061d199933c9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65cbd467-37b2-41bd-a721-061d199933c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d1d42908-aab0-4a2f-9264-7afe7dc70bd5' class='xr-var-data-in' type='checkbox'><label for='data-d1d42908-aab0-4a2f-9264-7afe7dc70bd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws140cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7495,7 +7336,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws40cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8e07029b-5b96-4f8c-be1f-c76b22ee9667' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e07029b-5b96-4f8c-be1f-c76b22ee9667' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a9ee1fe-3adc-4c4f-8b86-c48b5ccb9298' class='xr-var-data-in' type='checkbox'><label for='data-8a9ee1fe-3adc-4c4f-8b86-c48b5ccb9298' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>63</dd><dt><span>coverage_L4 :</span></dt><dd>63</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws40cm</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0153eb18-3020-48a4-b1cb-e62c55962170' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0153eb18-3020-48a4-b1cb-e62c55962170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09318f7b-6d8a-4b18-b323-2a26ea97801a' class='xr-var-data-in' type='checkbox'><label for='data-09318f7b-6d8a-4b18-b323-2a26ea97801a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>63</dd><dt><span>coverage_L4 :</span></dt><dd>63</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7553,7 +7394,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws40cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f7088713-27a2-4e66-a083-ea9da1c3f43a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7088713-27a2-4e66-a083-ea9da1c3f43a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f08a9fb0-7a6e-4b5e-9dbd-bdc80e1570a9' class='xr-var-data-in' type='checkbox'><label for='data-f08a9fb0-7a6e-4b5e-9dbd-bdc80e1570a9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws40cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws40cm_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b36d0415-9e9b-4b41-b939-22c4670bd41d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b36d0415-9e9b-4b41-b939-22c4670bd41d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0a5b062-24e9-44e0-b06b-40e19e6f1ad1' class='xr-var-data-in' type='checkbox'><label for='data-f0a5b062-24e9-44e0-b06b-40e19e6f1ad1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws40cmQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7611,7 +7452,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_100cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-254c342c-879b-4f59-bba4-c9d781a7724b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-254c342c-879b-4f59-bba4-c9d781a7724b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8b9b9136-2933-4463-8525-750db1474862' class='xr-var-data-in' type='checkbox'><label for='data-8b9b9136-2933-4463-8525-750db1474862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>67</dd><dt><span>coverage_L4 :</span></dt><dd>67</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.00m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_100cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0786e000-f603-4f5e-9e41-c8348650e61d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0786e000-f603-4f5e-9e41-c8348650e61d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-aec87782-a437-45de-887e-621608770c80' class='xr-var-data-in' type='checkbox'><label for='data-aec87782-a437-45de-887e-621608770c80' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>67</dd><dt><span>coverage_L4 :</span></dt><dd>67</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.00m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7669,7 +7510,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_100cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-375ca0e0-c8eb-4865-977f-8aaee94fa870' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-375ca0e0-c8eb-4865-977f-8aaee94fa870' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-551d060d-1f6a-41a9-9ad6-884f03bc01ad' class='xr-var-data-in' type='checkbox'><label for='data-551d060d-1f6a-41a9-9ad6-884f03bc01ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_100cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_100cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e20c95b4-7616-4672-8724-4ded7b30ef19' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e20c95b4-7616-4672-8724-4ded7b30ef19' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8ce0045-a190-43ba-84c3-732bd84d15c4' class='xr-var-data-in' type='checkbox'><label for='data-b8ce0045-a190-43ba-84c3-732bd84d15c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_100cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7727,7 +7568,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0789f642-9304-4c22-8c4f-7ddd7b42a997' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0789f642-9304-4c22-8c4f-7ddd7b42a997' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6baa92ba-d903-4c06-a376-c01d86683c7e' class='xr-var-data-in' type='checkbox'><label for='data-6baa92ba-d903-4c06-a376-c01d86683c7e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>84</dd><dt><span>coverage_L4 :</span></dt><dd>84</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5c32f593-541f-4876-90a4-7d35ef393209' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c32f593-541f-4876-90a4-7d35ef393209' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9d8b6d0-9cec-44a5-b6db-3e0880439716' class='xr-var-data-in' type='checkbox'><label for='data-e9d8b6d0-9cec-44a5-b6db-3e0880439716' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>84</dd><dt><span>coverage_L4 :</span></dt><dd>84</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7785,7 +7626,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1c3b8b4f-ecc0-419e-b7c9-a42b4e917522' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1c3b8b4f-ecc0-419e-b7c9-a42b4e917522' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43d5f017-740f-4dda-b0f0-0bac8773ed05' class='xr-var-data-in' type='checkbox'><label for='data-43d5f017-740f-4dda-b0f0-0bac8773ed05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_10cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d14a38c7-98f4-49d6-a042-493829be6eef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d14a38c7-98f4-49d6-a042-493829be6eef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-25fd15e4-4a22-4b20-9361-2cc83e5a0213' class='xr-var-data-in' type='checkbox'><label for='data-25fd15e4-4a22-4b20-9361-2cc83e5a0213' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_10cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7843,7 +7684,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6ee97ce2-15ee-480d-9286-a5e4eb7c1575' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ee97ce2-15ee-480d-9286-a5e4eb7c1575' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-409911b6-e7b3-4947-afa2-15f95621d981' class='xr-var-data-in' type='checkbox'><label for='data-409911b6-e7b3-4947-afa2-15f95621d981' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-47b9c295-55da-4cd4-808c-0f84901dc95f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47b9c295-55da-4cd4-808c-0f84901dc95f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2bcb75bb-1a58-4723-98da-30558d17adf8' class='xr-var-data-in' type='checkbox'><label for='data-2bcb75bb-1a58-4723-98da-30558d17adf8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.10m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7901,7 +7742,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5ce3a4c5-4aa7-4540-af55-cf00189ee3bc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5ce3a4c5-4aa7-4540-af55-cf00189ee3bc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-45ace61a-63e2-4332-b532-b4474726ef05' class='xr-var-data-in' type='checkbox'><label for='data-45ace61a-63e2-4332-b532-b4474726ef05' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_10cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_10cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4ee8d2d5-2678-44f4-9526-812a5ad4f47d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ee8d2d5-2678-44f4-9526-812a5ad4f47d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c715e78-54c8-4b7c-8829-37d1072db9f7' class='xr-var-data-in' type='checkbox'><label for='data-2c715e78-54c8-4b7c-8829-37d1072db9f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_10cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -7959,7 +7800,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8ce9dc64-b459-484d-87ce-c590190e97ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8ce9dc64-b459-484d-87ce-c590190e97ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c31bf016-d849-49eb-99b0-f21582f63728' class='xr-var-data-in' type='checkbox'><label for='data-c31bf016-d849-49eb-99b0-f21582f63728' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>37</dd><dt><span>coverage_L4 :</span></dt><dd>37</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-70271d51-0b3b-4c60-9b80-6085c406a756' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-70271d51-0b3b-4c60-9b80-6085c406a756' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87a753a8-2baa-4a80-a270-39665b86e1f9' class='xr-var-data-in' type='checkbox'><label for='data-87a753a8-2baa-4a80-a270-39665b86e1f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>37</dd><dt><span>coverage_L4 :</span></dt><dd>37</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8017,7 +7858,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-44c15f12-bf8e-45e4-9939-17fc0c6aa53d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44c15f12-bf8e-45e4-9939-17fc0c6aa53d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e83e42f-baf5-44e2-ac8b-660d9c230b94' class='xr-var-data-in' type='checkbox'><label for='data-9e83e42f-baf5-44e2-ac8b-660d9c230b94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_120cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-de262050-0097-4513-b5eb-204e679c4d26' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de262050-0097-4513-b5eb-204e679c4d26' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a5f025b-6636-4909-b810-e2c898bfaae1' class='xr-var-data-in' type='checkbox'><label for='data-0a5f025b-6636-4909-b810-e2c898bfaae1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_120cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8075,7 +7916,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a62f79b4-d270-4979-bb99-ea0d05cc45ec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a62f79b4-d270-4979-bb99-ea0d05cc45ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-73bdedee-5d95-4046-bcd3-5fc0ab85d14e' class='xr-var-data-in' type='checkbox'><label for='data-73bdedee-5d95-4046-bcd3-5fc0ab85d14e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>39</dd><dt><span>coverage_L4 :</span></dt><dd>39</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b292a2ef-9f05-4073-87fe-8a55705fe239' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b292a2ef-9f05-4073-87fe-8a55705fe239' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f0e4032c-8cb1-48bf-bc0c-6d28e094b274' class='xr-var-data-in' type='checkbox'><label for='data-f0e4032c-8cb1-48bf-bc0c-6d28e094b274' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>39</dd><dt><span>coverage_L4 :</span></dt><dd>39</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.20m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8133,7 +7974,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-08b9097c-c160-4234-8583-c58d05d6eb4d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-08b9097c-c160-4234-8583-c58d05d6eb4d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edafbc3b-47f7-47c1-930b-d867024953ad' class='xr-var-data-in' type='checkbox'><label for='data-edafbc3b-47f7-47c1-930b-d867024953ad' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_120cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_120cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0b0722eb-4038-48c2-99c6-bf9ec222aeca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0b0722eb-4038-48c2-99c6-bf9ec222aeca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8087d6d9-68b7-4e4c-8ea8-570f528fdba7' class='xr-var-data-in' type='checkbox'><label for='data-8087d6d9-68b7-4e4c-8ea8-570f528fdba7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_120cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8191,7 +8032,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9c938f50-d680-4f78-869c-67f52b52b8c2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c938f50-d680-4f78-869c-67f52b52b8c2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-235cea38-404e-490f-b033-f246c719192c' class='xr-var-data-in' type='checkbox'><label for='data-235cea38-404e-490f-b033-f246c719192c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-80028906-3155-4242-80c9-4f6c17ad603f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80028906-3155-4242-80c9-4f6c17ad603f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9785d85f-7f08-47ed-91d9-925b68f463c4' class='xr-var-data-in' type='checkbox'><label for='data-9785d85f-7f08-47ed-91d9-925b68f463c4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8249,7 +8090,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-edb6a904-3538-4ab7-9eb1-c7332e82f860' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-edb6a904-3538-4ab7-9eb1-c7332e82f860' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-93960647-2cbf-404c-9dbd-670ace59813f' class='xr-var-data-in' type='checkbox'><label for='data-93960647-2cbf-404c-9dbd-670ace59813f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_140cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1292330d-a2c9-4b07-ac5a-5f6ed56e745a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1292330d-a2c9-4b07-ac5a-5f6ed56e745a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-08a998e1-11a0-44d5-b9f4-c8b9c7b7db3b' class='xr-var-data-in' type='checkbox'><label for='data-08a998e1-11a0-44d5-b9f4-c8b9c7b7db3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_140cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8307,7 +8148,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-adde1cb0-c9b0-43e4-960f-364243f40430' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adde1cb0-c9b0-43e4-960f-364243f40430' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-de106a2a-201a-4d19-9847-72c0dd0878e2' class='xr-var-data-in' type='checkbox'><label for='data-de106a2a-201a-4d19-9847-72c0dd0878e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cmb</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7df2f40b-e372-4790-a879-cd44f1950929' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7df2f40b-e372-4790-a879-cd44f1950929' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-680bdac3-99fd-48ea-bb8b-8189e384f91d' class='xr-var-data-in' type='checkbox'><label for='data-680bdac3-99fd-48ea-bb8b-8189e384f91d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>40</dd><dt><span>coverage_L4 :</span></dt><dd>40</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-1.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8365,7 +8206,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-41bdf2a5-e640-495a-bdeb-cea6f2c9e2ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41bdf2a5-e640-495a-bdeb-cea6f2c9e2ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54f05433-3085-4e8c-b8fe-88331ccb3ddf' class='xr-var-data-in' type='checkbox'><label for='data-54f05433-3085-4e8c-b8fe-88331ccb3ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_140cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_140cmb_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-977e9a15-39de-4bf6-ab91-5984d26bd153' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-977e9a15-39de-4bf6-ab91-5984d26bd153' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92800680-3af9-49a1-86d9-1427d413a8d8' class='xr-var-data-in' type='checkbox'><label for='data-92800680-3af9-49a1-86d9-1427d413a8d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_140cmbQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8423,7 +8264,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_40cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0f617314-ef25-410c-b0a4-657e0f234aef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f617314-ef25-410c-b0a4-657e0f234aef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e531a911-b6a9-414d-ae52-6bbefae4534f' class='xr-var-data-in' type='checkbox'><label for='data-e531a911-b6a9-414d-ae52-6bbefae4534f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>63</dd><dt><span>coverage_L4 :</span></dt><dd>63</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_40cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7d32898b-56e5-4061-86e5-58bb092f0623' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7d32898b-56e5-4061-86e5-58bb092f0623' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e7c6458-aca5-4f6d-a25a-5e1b2509cb33' class='xr-var-data-in' type='checkbox'><label for='data-3e7c6458-aca5-4f6d-a25a-5e1b2509cb33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>63</dd><dt><span>coverage_L4 :</span></dt><dd>63</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.40m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific CS616</dd><dt><span>long_name :</span></dt><dd>Soil water content</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m3/m3</dd><dt><span>valid_range :</span></dt><dd>0.0,0.5</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8481,7 +8322,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_40cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-fbd2b351-50de-40f1-a0bc-dd0b611fad24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fbd2b351-50de-40f1-a0bc-dd0b611fad24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2037df75-a9f5-408a-94ab-13113a65322e' class='xr-var-data-in' type='checkbox'><label for='data-2037df75-a9f5-408a-94ab-13113a65322e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_40cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sws_40cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-56dda5a6-51fa-49bb-8457-bd7b6eef50e4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56dda5a6-51fa-49bb-8457-bd7b6eef50e4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9974cdf4-8f23-4386-902a-faf315dafebc' class='xr-var-data-in' type='checkbox'><label for='data-9974cdf4-8f23-4386-902a-faf315dafebc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sws_40cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8539,7 +8380,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-80ea7c89-5f8c-4ac2-8549-e4fac3d11ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-80ea7c89-5f8c-4ac2-8549-e4fac3d11ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1eb56583-dee0-4593-bead-deefbb906aca' class='xr-var-data-in' type='checkbox'><label for='data-1eb56583-dee0-4593-bead-deefbb906aca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>0,40</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8656dcf4-b6b9-4d50-bd6c-590769f9d92c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8656dcf4-b6b9-4d50-bd6c-590769f9d92c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d13d8459-32a2-486f-a3aa-35c0de0a92ba' class='xr-var-data-in' type='checkbox'><label for='data-d13d8459-32a2-486f-a3aa-35c0de0a92ba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>86</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>0,40</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8597,7 +8438,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d2d055e9-b775-4d75-9390-6a91f5886fbc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2d055e9-b775-4d75-9390-6a91f5886fbc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b3ba7eb4-93d0-4ef1-ac3b-afd5960eff01' class='xr-var-data-in' type='checkbox'><label for='data-b3ba7eb4-93d0-4ef1-ac3b-afd5960eff01' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a49fccf7-e73d-495b-96b1-5f3d1ad13521' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a49fccf7-e73d-495b-96b1-5f3d1ad13521' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b34d6e1d-1df2-44b4-8178-80e0b369b862' class='xr-var-data-in' type='checkbox'><label for='data-b34d6e1d-1df2-44b4-8178-80e0b369b862' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8655,7 +8496,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_23m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-db5081f1-9713-4a8d-bd97-77b5870e9665' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db5081f1-9713-4a8d-bd97-77b5870e9665' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5d7d7fd9-2c4b-4aa9-b804-4612981e30d0' class='xr-var-data-in' type='checkbox'><label for='data-5d7d7fd9-2c4b-4aa9-b804-4612981e30d0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>75</dd><dt><span>coverage_L4 :</span></dt><dd>75</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>20,60</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_23m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ae49036b-79c6-425d-8554-353cdfd1246f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ae49036b-79c6-425d-8554-353cdfd1246f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4e58106-9c1c-4ad9-aafb-126d78f28422' class='xr-var-data-in' type='checkbox'><label for='data-c4e58106-9c1c-4ad9-aafb-126d78f28422' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>75</dd><dt><span>coverage_L4 :</span></dt><dd>75</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>20,60</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8713,7 +8554,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_23m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-45c6600f-c5c5-41df-8608-847494c3d728' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45c6600f-c5c5-41df-8608-847494c3d728' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b7085d2-9aa0-41ff-a965-8e5532cd09a8' class='xr-var-data-in' type='checkbox'><label for='data-3b7085d2-9aa0-41ff-a965-8e5532cd09a8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_HMP_23mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_23m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-eb8ccdc5-707c-4ca3-a13b-eaa7e19c9c36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb8ccdc5-707c-4ca3-a13b-eaa7e19c9c36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3cc5ad15-d849-43ec-b006-2444af68bb31' class='xr-var-data-in' type='checkbox'><label for='data-3cc5ad15-d849-43ec-b006-2444af68bb31' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_HMP_23mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8771,7 +8612,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d7ea764b-8fe9-4094-867c-5785394ba63a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7ea764b-8fe9-4094-867c-5785394ba63a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb92eb1b-11ef-4552-aa35-1e8f307f83a3' class='xr-var-data-in' type='checkbox'><label for='data-fb92eb1b-11ef-4552-aa35-1e8f307f83a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>66</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>10,60</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_2m</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-11a1bd84-79eb-4f3a-96ec-8185911a5c44' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-11a1bd84-79eb-4f3a-96ec-8185911a5c44' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3e77da95-4ec8-426d-98b0-55271b70506d' class='xr-var-data-in' type='checkbox'><label for='data-3e77da95-4ec8-426d-98b0-55271b70506d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>66</dd><dt><span>coverage_L4 :</span></dt><dd>66</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>2m</dd><dt><span>instrument :</span></dt><dd>HMP45C</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>10,60</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8829,7 +8670,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_2m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-930f8391-1a45-4889-b675-965ba908ccf4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-930f8391-1a45-4889-b675-965ba908ccf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5f4e6939-23ed-48db-b38b-51b0db54b8fa' class='xr-var-data-in' type='checkbox'><label for='data-5f4e6939-23ed-48db-b38b-51b0db54b8fa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_HMP_2mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_HMP_2m_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f48a9234-0629-4305-989b-fee3d2dd19e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f48a9234-0629-4305-989b-fee3d2dd19e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2d52caa-e345-4c74-8720-939ed553c19d' class='xr-var-data-in' type='checkbox'><label for='data-b2d52caa-e345-4c74-8720-939ed553c19d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_HMP_2mQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8887,7 +8728,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4da02143-eb31-4343-92da-a384e582a693' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4da02143-eb31-4343-92da-a384e582a693' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a949ccc2-f955-4a4f-b77e-e044216370f9' class='xr-var-data-in' type='checkbox'><label for='data-a949ccc2-f955-4a4f-b77e-e044216370f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>14.42,37.71</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c2e0bbd5-e786-4969-a4c2-05ecd26ebb9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2e0bbd5-e786-4969-a4c2-05ecd26ebb9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abc47db3-733d-49fe-9179-0dbde8eddb92' class='xr-var-data-in' type='checkbox'><label for='data-abc47db3-733d-49fe-9179-0dbde8eddb92' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>not defined</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Air temperature</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>air_temperature</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>14.42,37.71</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -8945,7 +8786,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-8412894e-f09d-4703-9c40-c56aeec8a4c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8412894e-f09d-4703-9c40-c56aeec8a4c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcc2cd6b-2c08-42f7-807f-dcb2f8ab99f8' class='xr-var-data-in' type='checkbox'><label for='data-bcc2cd6b-2c08-42f7-807f-dcb2f8ab99f8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ta_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3cbd7db0-3fd7-4f3d-9203-290698990572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cbd7db0-3fd7-4f3d-9203-290698990572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a6bb54ca-4927-4d80-ba9d-bf9c6b0f5ab8' class='xr-var-data-in' type='checkbox'><label for='data-a6bb54ca-4927-4d80-ba9d-bf9c6b0f5ab8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ta_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9003,7 +8844,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-3b5aea33-8c63-4ad9-89f7-4930770f48cf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b5aea33-8c63-4ad9-89f7-4930770f48cf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a444f4e5-9165-4d7b-97ec-075161e63755' class='xr-var-data-in' type='checkbox'><label for='data-a444f4e5-9165-4d7b-97ec-075161e63755' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>79</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific TCAV</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>20,43</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0bd63e5e-b3bf-49cb-811d-6033f6339833' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0bd63e5e-b3bf-49cb-811d-6033f6339833' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-531ff77a-0f4f-44a8-ac42-16d1d53401eb' class='xr-var-data-in' type='checkbox'><label for='data-531ff77a-0f4f-44a8-ac42-16d1d53401eb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>79</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific TCAV</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>20,43</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9061,7 +8902,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-972ce21e-7736-458c-b86b-fe3c259aaa85' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-972ce21e-7736-458c-b86b-fe3c259aaa85' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d5ccbf8-9d39-46c4-ba55-83af290ea47a' class='xr-var-data-in' type='checkbox'><label for='data-4d5ccbf8-9d39-46c4-ba55-83af290ea47a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-89fb8ad2-c6df-47d4-855d-b6858519adf5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89fb8ad2-c6df-47d4-855d-b6858519adf5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9aa14d9f-7914-4138-ac67-27ff3ab6d012' class='xr-var-data-in' type='checkbox'><label for='data-9aa14d9f-7914-4138-ac67-27ff3ab6d012' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>TsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9119,7 +8960,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_8cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-51e776bb-bb9d-4391-acd3-00420cc5b88d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51e776bb-bb9d-4391-acd3-00420cc5b88d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e96ed622-e81a-4c70-9f4c-3b4e3e04f7d7' class='xr-var-data-in' type='checkbox'><label for='data-e96ed622-e81a-4c70-9f4c-3b4e3e04f7d7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific TCAV</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>0.0,60</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_8cma</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-2de0b7c3-af6b-49dd-b2b1-78272dd3125c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2de0b7c3-af6b-49dd-b2b1-78272dd3125c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5a1cd2f-1526-415c-b560-8f10034dab51' class='xr-var-data-in' type='checkbox'><label for='data-f5a1cd2f-1526-415c-b560-8f10034dab51' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>-0.08m</dd><dt><span>instrument :</span></dt><dd>Campbell Scientific TCAV</dd><dt><span>long_name :</span></dt><dd>Soil temperature</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>C</dd><dt><span>valid_range :</span></dt><dd>0.0,60</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9177,7 +9018,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_8cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-44983f4d-4b1c-416d-8330-5522d9cd165d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-44983f4d-4b1c-416d-8330-5522d9cd165d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d2783e7-7174-4531-8e40-4e0266c1a7ca' class='xr-var-data-in' type='checkbox'><label for='data-0d2783e7-7174-4531-8e40-4e0266c1a7ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ts_8cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ts_8cma_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-df12619f-164b-4d82-a98b-3dff88c9a21f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df12619f-164b-4d82-a98b-3dff88c9a21f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-43ab9e49-cd17-4bd6-a839-a4578fcf34d3' class='xr-var-data-in' type='checkbox'><label for='data-43ab9e49-cd17-4bd6-a839-a4578fcf34d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ts_8cmaQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9235,7 +9076,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-9973e986-d69a-4795-b956-028b01478505' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9973e986-d69a-4795-b956-028b01478505' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eca6022f-2653-4ef0-981d-286d4615aa9c' class='xr-var-data-in' type='checkbox'><label for='data-eca6022f-2653-4ef0-981d-286d4615aa9c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Along wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.02885,5.533</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-336117ea-1754-4e6d-9279-bd563d0cab92' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-336117ea-1754-4e6d-9279-bd563d0cab92' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a8d44f48-4a4b-4fd2-a617-d80680860de1' class='xr-var-data-in' type='checkbox'><label for='data-a8d44f48-4a4b-4fd2-a617-d80680860de1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Along wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.02885,5.533</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9293,7 +9134,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ac700f24-9564-4bf3-b8fe-f42668f41423' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac700f24-9564-4bf3-b8fe-f42668f41423' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6ed11ae1-d1dd-457a-b2a6-135f24d5ae4f' class='xr-var-data-in' type='checkbox'><label for='data-6ed11ae1-d1dd-457a-b2a6-135f24d5ae4f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-993dc3d6-ea6f-4fa5-b30a-7a8f4c930e45' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-993dc3d6-ea6f-4fa5-b30a-7a8f4c930e45' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12bac4c5-5da8-474d-b4fc-68c9626f47da' class='xr-var-data-in' type='checkbox'><label for='data-12bac4c5-5da8-474d-b4fc-68c9626f47da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9351,7 +9192,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-0449e2fe-0ea1-41c0-8cbe-1322fe65f7c3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0449e2fe-0ea1-41c0-8cbe-1322fe65f7c3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5fea8856-d60b-4395-8fbe-d3b1b507017d' class='xr-var-data-in' type='checkbox'><label for='data-5fea8856-d60b-4395-8fbe-d3b1b507017d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Along wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.001573,8.104</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7793765e-767f-4c90-851d-2775ee61d6b8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7793765e-767f-4c90-851d-2775ee61d6b8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a85672c9-a0cb-4da2-9c6a-4f32a58282c9' class='xr-var-data-in' type='checkbox'><label for='data-a85672c9-a0cb-4da2-9c6a-4f32a58282c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Along wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.001573,8.104</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9409,7 +9250,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b6685f7f-bb18-4a6b-be88-d67b1415c9a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b6685f7f-bb18-4a6b-be88-d67b1415c9a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06620b86-fcdd-4e22-9726-24d4ad596efc' class='xr-var-data-in' type='checkbox'><label for='data-06620b86-fcdd-4e22-9726-24d4ad596efc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>U_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-00fb2278-b67b-4757-8d3d-fc497b29f3ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-00fb2278-b67b-4757-8d3d-fc497b29f3ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-95eaa2b1-b1ca-46b9-8253-1f95adf165f6' class='xr-var-data-in' type='checkbox'><label for='data-95eaa2b1-b1ca-46b9-8253-1f95adf165f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>U_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9467,7 +9308,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VP</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-7581a56e-06ab-4b05-b7be-f6014fc3ff61' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7581a56e-06ab-4b05-b7be-f6014fc3ff61' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da5ec4b6-19ae-468f-a5ec-7f5ef9b4b327' class='xr-var-data-in' type='checkbox'><label for='data-da5ec4b6-19ae-468f-a5ec-7f5ef9b4b327' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Vapour pressure calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Vapour pressure calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Vapour pressure</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>water_vapor_partial_pressure_in_air</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VP</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-15f4e800-1293-46a1-a1ef-81d599a6e00e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15f4e800-1293-46a1-a1ef-81d599a6e00e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bbd4ab55-5310-4d96-8a58-925488a62931' class='xr-var-data-in' type='checkbox'><label for='data-bbd4ab55-5310-4d96-8a58-925488a62931' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Vapour pressure calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Vapour pressure calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Vapour pressure</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>water_vapor_partial_pressure_in_air</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9525,7 +9366,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VP_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-54559f54-094c-48e6-9e3b-17440ee647fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-54559f54-094c-48e6-9e3b-17440ee647fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c87484f-d7cf-461a-b42c-d8b74535c876' class='xr-var-data-in' type='checkbox'><label for='data-3c87484f-d7cf-461a-b42c-d8b74535c876' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>VPQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VP_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e46e907c-8e6e-4454-b2ca-631560f45536' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e46e907c-8e6e-4454-b2ca-631560f45536' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-951f4be4-1b26-47ff-8620-2c60fd48fe53' class='xr-var-data-in' type='checkbox'><label for='data-951f4be4-1b26-47ff-8620-2c60fd48fe53' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>VPQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9583,7 +9424,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VPD</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5d2a2743-6e6a-4692-949d-89bad7fc1652' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5d2a2743-6e6a-4692-949d-89bad7fc1652' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3d42e07-7503-4858-9a79-e0e23f6ab65b' class='xr-var-data-in' type='checkbox'><label for='data-d3d42e07-7503-4858-9a79-e0e23f6ab65b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Vapour pressure deficit calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Vapour pressure deficit calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Vapour pressure deficit</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>water_vapor_saturation_deficit_in_air</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VPD</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-de1218da-5512-4b0b-b280-ac0353e3c5d5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-de1218da-5512-4b0b-b280-ac0353e3c5d5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c9df192-12a7-4da3-80ab-4aaaeaabc541' class='xr-var-data-in' type='checkbox'><label for='data-8c9df192-12a7-4da3-80ab-4aaaeaabc541' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L3 :</span></dt><dd>Vapour pressure deficit calculated from Ah, Ta and ps</dd><dt><span>description_L4 :</span></dt><dd>Vapour pressure deficit calculated from Ah, Ta and ps</dd><dt><span>group_name :</span></dt><dd>meteorology</dd><dt><span>height :</span></dt><dd></dd><dt><span>instrument :</span></dt><dd></dd><dt><span>long_name :</span></dt><dd>Vapour pressure deficit</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>water_vapor_saturation_deficit_in_air</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>-1e+35,1e+35</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9641,7 +9482,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VPD_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b0e0887d-8fe1-4acd-8004-50d6c306909c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b0e0887d-8fe1-4acd-8004-50d6c306909c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cfa5f4f7-c2e4-4f77-a01a-03fbe5b8e4ee' class='xr-var-data-in' type='checkbox'><label for='data-cfa5f4f7-c2e4-4f77-a01a-03fbe5b8e4ee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>VPDQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VPD_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f2b0efe7-2bc7-467c-a203-d5ff36827258' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f2b0efe7-2bc7-467c-a203-d5ff36827258' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3a2c4fbf-3aad-4d67-822b-570aeb5907ea' class='xr-var-data-in' type='checkbox'><label for='data-3a2c4fbf-3aad-4d67-822b-570aeb5907ea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>VPDQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9699,7 +9540,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-adbd1853-d96c-4a6d-b7e3-e3e9b176315b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adbd1853-d96c-4a6d-b7e3-e3e9b176315b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dc4a3e51-f076-4fc0-8bc4-dd72b2e5f413' class='xr-var-data-in' type='checkbox'><label for='data-dc4a3e51-f076-4fc0-8bc4-dd72b2e5f413' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Across wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.0,0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-55667400-8c06-4330-997c-ed1bdd9dc37f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-55667400-8c06-4330-997c-ed1bdd9dc37f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d5e9035f-39c4-4454-b8ba-401569e569e2' class='xr-var-data-in' type='checkbox'><label for='data-d5e9035f-39c4-4454-b8ba-401569e569e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Across wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.0,0.0</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9757,7 +9598,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-15cae1d2-0702-4c08-8a47-030d29858aa0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-15cae1d2-0702-4c08-8a47-030d29858aa0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1354a096-b845-42f7-81c2-0fe5b1dec080' class='xr-var-data-in' type='checkbox'><label for='data-1354a096-b845-42f7-81c2-0fe5b1dec080' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-6ab05f12-7802-4bfb-bdd6-b01a937400ea' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6ab05f12-7802-4bfb-bdd6-b01a937400ea' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-047b0558-fef5-4fa0-a5ad-32658bc0bff1' class='xr-var-data-in' type='checkbox'><label for='data-047b0558-fef5-4fa0-a5ad-32658bc0bff1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9815,7 +9656,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-892d77dd-6947-445c-8902-5dd054a024af' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-892d77dd-6947-445c-8902-5dd054a024af' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-079bb897-3a8e-4819-8323-3816fc9c649e' class='xr-var-data-in' type='checkbox'><label for='data-079bb897-3a8e-4819-8323-3816fc9c649e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Across wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.001794,6.253</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c563affb-376e-4299-a28f-1c92dec976a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c563affb-376e-4299-a28f-1c92dec976a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b6c0f5e-306b-44aa-b3e2-32991894da9b' class='xr-var-data-in' type='checkbox'><label for='data-1b6c0f5e-306b-44aa-b3e2-32991894da9b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Across wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.001794,6.253</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9873,7 +9714,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-89ba30d8-3b0c-4788-aab8-bc9e12d6da48' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89ba30d8-3b0c-4788-aab8-bc9e12d6da48' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-59f3508c-4e3e-4d10-8a94-336d2bb7ce0f' class='xr-var-data-in' type='checkbox'><label for='data-59f3508c-4e3e-4d10-8a94-336d2bb7ce0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>V_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d2683a56-7454-44d6-9f93-31f720aaeae4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d2683a56-7454-44d6-9f93-31f720aaeae4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b588b618-c490-47be-9f50-0207fdc62480' class='xr-var-data-in' type='checkbox'><label for='data-b588b618-c490-47be-9f50-0207fdc62480' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>V_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9931,7 +9772,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-884472f2-af1d-4550-b363-d06782fc8cef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-884472f2-af1d-4550-b363-d06782fc8cef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3b9aacbb-4e27-495f-9b13-11dd51314bea' class='xr-var-data-in' type='checkbox'><label for='data-3b9aacbb-4e27-495f-9b13-11dd51314bea' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Vertical wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.0,0.0</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5c6f1ba1-0792-4cf5-bcd8-cc019b39efc5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c6f1ba1-0792-4cf5-bcd8-cc019b39efc5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3856736b-5e75-47b9-8db5-dd41f9ffb1db' class='xr-var-data-in' type='checkbox'><label for='data-3856736b-5e75-47b9-8db5-dd41f9ffb1db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>81</dd><dt><span>coverage_L4 :</span></dt><dd>81</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Vertical wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0.0,0.0</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -9989,7 +9830,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-2a287f9d-d97d-4d62-9eb2-35e0e72ccfcf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a287f9d-d97d-4d62-9eb2-35e0e72ccfcf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69aa63bd-78bc-4bb7-861a-f8ed41a4a880' class='xr-var-data-in' type='checkbox'><label for='data-69aa63bd-78bc-4bb7-861a-f8ed41a4a880' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>W_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a9e6d040-c7c7-419a-a5b8-d240be4dbf4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9e6d040-c7c7-419a-a5b8-d240be4dbf4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-97beb1ae-14e0-4064-8475-982a47be4897' class='xr-var-data-in' type='checkbox'><label for='data-97beb1ae-14e0-4064-8475-982a47be4897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>W_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10047,7 +9888,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-e0e40f0d-3775-499b-aa2e-b128efe3047f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0e40f0d-3775-499b-aa2e-b128efe3047f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-025c50e3-3d77-49b3-ae38-f275f4140def' class='xr-var-data-in' type='checkbox'><label for='data-025c50e3-3d77-49b3-ae38-f275f4140def' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Vertical wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.0001297,2.777</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Vr</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a4f1c0e9-669d-45a0-bef7-54917a59c0d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4f1c0e9-669d-45a0-bef7-54917a59c0d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cab4722-1afb-4f0b-9220-f8a2f4467bbe' class='xr-var-data-in' type='checkbox'><label for='data-0cab4722-1afb-4f0b-9220-f8a2f4467bbe' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Vertical wind velocity component</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m2/s2</dd><dt><span>valid_range :</span></dt><dd>0.0001297,2.777</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10105,7 +9946,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-626bfe82-5bb9-4867-b381-b42daeea7170' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-626bfe82-5bb9-4867-b381-b42daeea7170' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6034f10-c5c4-41c6-8997-36b5daa01b45' class='xr-var-data-in' type='checkbox'><label for='data-c6034f10-c5c4-41c6-8997-36b5daa01b45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>W_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>W_SONIC_Vr_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-61963c9b-2d64-4d57-a935-9df2cb5d691b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-61963c9b-2d64-4d57-a935-9df2cb5d691b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3033c93-34da-4c48-a4b8-37469e6cc244' class='xr-var-data-in' type='checkbox'><label for='data-d3033c93-34da-4c48-a4b8-37469e6cc244' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>W_SONIC_VrQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10163,7 +10004,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-85d437c8-a279-42bc-ac8a-a4a2e1ee86f2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-85d437c8-a279-42bc-ac8a-a4a2e1ee86f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1199a7f1-2e6b-4864-903c-7449104b87f7' class='xr-var-data-in' type='checkbox'><label for='data-1199a7f1-2e6b-4864-903c-7449104b87f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind direction</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>valid_range :</span></dt><dd>0,360</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a473c586-e77c-4ea4-beab-dd1cedd94c37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a473c586-e77c-4ea4-beab-dd1cedd94c37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c08d3922-8033-4d4e-b170-388b9ac286fc' class='xr-var-data-in' type='checkbox'><label for='data-c08d3922-8033-4d4e-b170-388b9ac286fc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind direction</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>valid_range :</span></dt><dd>0,360</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10221,7 +10062,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-250ba90b-8061-4d29-a38d-9110542d20db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-250ba90b-8061-4d29-a38d-9110542d20db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e99f2df6-a4da-43d0-9eee-8917a95295b9' class='xr-var-data-in' type='checkbox'><label for='data-e99f2df6-a4da-43d0-9eee-8917a95295b9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>WdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5543f863-9fb0-4cf4-97ff-f1c16dd8c5e5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5543f863-9fb0-4cf4-97ff-f1c16dd8c5e5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-58a802d6-bf1e-44fa-aacf-82cd6efe7cce' class='xr-var-data-in' type='checkbox'><label for='data-58a802d6-bf1e-44fa-aacf-82cd6efe7cce' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>WdQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10279,7 +10120,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-5191ff32-178d-4041-a819-092d94249682' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5191ff32-178d-4041-a819-092d94249682' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d98d585e-eed8-4147-90fa-6f1893d312f6' class='xr-var-data-in' type='checkbox'><label for='data-d98d585e-eed8-4147-90fa-6f1893d312f6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind direction</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>valid_range :</span></dt><dd>0,360</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-1615208d-5574-402c-a9af-3c6dfc7bfa5b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1615208d-5574-402c-a9af-3c6dfc7bfa5b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-13b7cd56-3f7b-42dd-81a7-0131ff7f2d0f' class='xr-var-data-in' type='checkbox'><label for='data-13b7cd56-3f7b-42dd-81a7-0131ff7f2d0f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind direction</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_from_direction</dd><dt><span>units :</span></dt><dd>deg</dd><dt><span>valid_range :</span></dt><dd>0,360</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10337,7 +10178,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-18777b39-bc06-4189-b393-4a4d82b4c64e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18777b39-bc06-4189-b393-4a4d82b4c64e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-489c4c84-7a40-405e-be0e-948bd016946f' class='xr-var-data-in' type='checkbox'><label for='data-489c4c84-7a40-405e-be0e-948bd016946f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wd_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wd_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b744584f-b062-4908-91d0-77704f0f8477' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b744584f-b062-4908-91d0-77704f0f8477' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-464d6a3d-c06b-4b68-a59e-3a8c46ec82de' class='xr-var-data-in' type='checkbox'><label for='data-464d6a3d-c06b-4b68-a59e-3a8c46ec82de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Wd_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10395,7 +10236,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-07cc1ee1-80a4-472d-84ed-290a96a9524c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-07cc1ee1-80a4-472d-84ed-290a96a9524c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d8f6b3e2-a43e-4daa-8177-4f24c644faa9' class='xr-var-data-in' type='checkbox'><label for='data-d8f6b3e2-a43e-4daa-8177-4f24c644faa9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,30</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-96338ef6-0a42-431a-9015-9e854b71fdbf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-96338ef6-0a42-431a-9015-9e854b71fdbf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eefbf3b5-260f-44e5-9b02-9f5e9d3b4445' class='xr-var-data-in' type='checkbox'><label for='data-eefbf3b5-260f-44e5-9b02-9f5e9d3b4445' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,30</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10453,7 +10294,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-ee19276d-22b5-42bf-929b-72286a21e862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ee19276d-22b5-42bf-929b-72286a21e862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f16c43f6-db09-41d4-b43f-72730ca45f2a' class='xr-var-data-in' type='checkbox'><label for='data-f16c43f6-db09-41d4-b43f-72730ca45f2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>WsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-a74843d3-6020-492a-bb55-caf4d710677f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a74843d3-6020-492a-bb55-caf4d710677f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44a88495-f01c-4fb8-b74d-d1f5c66222c6' class='xr-var-data-in' type='checkbox'><label for='data-44a88495-f01c-4fb8-b74d-d1f5c66222c6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>WsQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10511,7 +10352,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-dc5bda9b-6fd6-48d2-a550-c71ebada3878' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-dc5bda9b-6fd6-48d2-a550-c71ebada3878' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5dbb9aba-4063-4ca0-a9e8-36d80c86dda2' class='xr-var-data-in' type='checkbox'><label for='data-5dbb9aba-4063-4ca0-a9e8-36d80c86dda2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,20</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_SONIC_Av</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-815243e9-a681-4147-966a-2dd1f720b78f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-815243e9-a681-4147-966a-2dd1f720b78f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70635a18-9b97-4509-a442-6730de54c1da' class='xr-var-data-in' type='checkbox'><label for='data-70635a18-9b97-4509-a442-6730de54c1da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>82</dd><dt><span>coverage_L4 :</span></dt><dd>82</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>CSAT</dd><dt><span>long_name :</span></dt><dd>Wind speed</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>wind_speed</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,20</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10569,7 +10410,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-f5aa9c04-f4d8-41ef-bcbc-214be63e639b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f5aa9c04-f4d8-41ef-bcbc-214be63e639b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6feae0ff-0638-4ddb-94cf-204e863aee33' class='xr-var-data-in' type='checkbox'><label for='data-6feae0ff-0638-4ddb-94cf-204e863aee33' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ws_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Ws_SONIC_Av_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-23179ca2-cc49-41a9-9bb9-c122faec4ab9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23179ca2-cc49-41a9-9bb9-c122faec4ab9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b2dcf54c-083d-4c3d-9a65-62584f71aa8a' class='xr-var-data-in' type='checkbox'><label for='data-b2dcf54c-083d-4c3d-9a65-62584f71aa8a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Ws_SONIC_AvQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10627,7 +10468,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b2d2aed1-e122-454f-b365-44d9be3d0358' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2d2aed1-e122-454f-b365-44d9be3d0358' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ac0a149-5907-42ee-8bdf-2542731f974f' class='xr-var-data-in' type='checkbox'><label for='data-7ac0a149-5907-42ee-8bdf-2542731f974f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Surface air pressure</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>95,105</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4f2c47fa-c37b-4caf-98ea-dc4c573de02f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f2c47fa-c37b-4caf-98ea-dc4c573de02f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddbcf067-4da7-4b33-a852-fd4bc9774f56' class='xr-var-data-in' type='checkbox'><label for='data-ddbcf067-4da7-4b33-a852-fd4bc9774f56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>85</dd><dt><span>coverage_L4 :</span></dt><dd>100</dd><dt><span>description_L4 :</span></dt><dd>Gap filled using aws, access, era5, </dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>Li-7500</dd><dt><span>long_name :</span></dt><dd>Surface air pressure</dd><dt><span>serial_number :</span></dt><dd></dd><dt><span>standard_name :</span></dt><dd>surface_air_pressure</dd><dt><span>units :</span></dt><dd>kPa</dd><dt><span>valid_range :</span></dt><dd>95,105</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10685,7 +10526,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-c6e9e01f-913e-4655-931e-30a851b312bb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6e9e01f-913e-4655-931e-30a851b312bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8ebebbe2-ec38-49d4-bf96-e28019093b57' class='xr-var-data-in' type='checkbox'><label for='data-8ebebbe2-ec38-49d4-bf96-e28019093b57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>psQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ps_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-fcf4a367-29a2-46bc-b614-0a61f0fbe676' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fcf4a367-29a2-46bc-b614-0a61f0fbe676' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91c4e3bf-8a6e-4ed8-813c-c1af8746ca22' class='xr-var-data-in' type='checkbox'><label for='data-91c4e3bf-8a6e-4ed8-813c-c1af8746ca22' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>psQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10743,7 +10584,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-672a546f-d615-4f11-8dd2-3386cdd3ccf0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-672a546f-d615-4f11-8dd2-3386cdd3ccf0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f832bf79-2438-4885-a814-201f41e0bb23' class='xr-var-data-in' type='checkbox'><label for='data-f832bf79-2438-4885-a814-201f41e0bb23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Friction velocity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,3</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-d3a74be8-dd23-4ea8-97fa-b50bbaae89c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d3a74be8-dd23-4ea8-97fa-b50bbaae89c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fef9cc2-4538-49ff-a0c6-2248dd1ecc91' class='xr-var-data-in' type='checkbox'><label for='data-1fef9cc2-4538-49ff-a0c6-2248dd1ecc91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>coverage_L3 :</span></dt><dd>80</dd><dt><span>coverage_L4 :</span></dt><dd>80</dd><dt><span>group_name :</span></dt><dd></dd><dt><span>height :</span></dt><dd>23m</dd><dt><span>instrument :</span></dt><dd>not defined</dd><dt><span>long_name :</span></dt><dd>Friction velocity</dd><dt><span>serial_number :</span></dt><dd>not defined</dd><dt><span>standard_name :</span></dt><dd>not defined</dd><dt><span>units :</span></dt><dd>m/s</dd><dt><span>valid_range :</span></dt><dd>0,3</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10801,7 +10642,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-4fc6e16a-0d0a-42cc-862b-814179155221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4fc6e16a-0d0a-42cc-862b-814179155221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4c1f94b0-2700-4841-9e52-9a3ff16f60a3' class='xr-var-data-in' type='checkbox'><label for='data-4c1f94b0-2700-4841-9e52-9a3ff16f60a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ustarQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ustar_QCFlag</span></div><div class='xr-var-dims'>(time, latitude, longitude)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(315551, 1, 1), meta=np.ndarray&gt;</div><input id='attrs-b5f0f468-5f2d-4501-b3ce-365a5a1e0309' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5f0f468-5f2d-4501-b3ce-365a5a1e0309' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8774e4d0-e3f1-4cac-ba18-bd470401c7f4' class='xr-var-data-in' type='checkbox'><label for='data-8774e4d0-e3f1-4cac-ba18-bd470401c7f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>ustarQC flag</dd><dt><span>units :</span></dt><dd>none</dd></dl></div><div class='xr-var-data'><table>\n",
        "<tr>\n",
        "<td>\n",
        "<table>\n",
@@ -10859,7 +10700,7 @@
        "</svg>\n",
        "</td>\n",
        "</tr>\n",
-       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.147e+09</div><input id='attrs-46f1d719-567c-409e-a9cf-4d412a88fa64' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-46f1d719-567c-409e-a9cf-4d412a88fa64' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-abe89253-ce98-4928-8161-016c80368893' class='xr-var-data-in' type='checkbox'><label for='data-abe89253-ce98-4928-8161-016c80368893' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>WGS 1984 datum</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2.14748365e+09)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-41fe3e25-711c-4f53-947f-478afd9f3edc' class='xr-section-summary-in' type='checkbox'  ><label for='section-41fe3e25-711c-4f53-947f-478afd9f3edc' class='xr-section-summary' >Attributes: <span>(50)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BulkDensity :</span></dt><dd>1500</dd><dt><span>FgDepth :</span></dt><dd>0.08</dd><dt><span>OrganicContent :</span></dt><dd>0.01</dd><dt><span>PythonVersion :</span></dt><dd>2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 15:42:17) [MSC v.1500 64 bit (AMD64)]</dd><dt><span>QC_version :</span></dt><dd>PyFluxPro V1.0.1</dd><dt><span>SwsDefault :</span></dt><dd>0.10</dd><dt><span>SwsSeries :</span></dt><dd>[&#x27;Sws&#x27;]</dd><dt><span>altitude :</span></dt><dd>64m</dd><dt><span>canopy_height :</span></dt><dd>16m</dd><dt><span>comment :</span></dt><dd>CF metadata, OzFlux standard variable names</dd><dt><span>contact :</span></dt><dd>jason.beringer@uwa.edu.au</dd><dt><span>controlfile_name :</span></dt><dd>controlfiles/OzFlux/Tower/L4/HowardSprings.txt</dd><dt><span>coverage_flux_L3 :</span></dt><dd>75</dd><dt><span>coverage_flux_L4 :</span></dt><dd>75</dd><dt><span>coverage_meteorology_L3 :</span></dt><dd>84</dd><dt><span>coverage_meteorology_L4 :</span></dt><dd>100</dd><dt><span>coverage_radiation_L3 :</span></dt><dd>79</dd><dt><span>coverage_radiation_L4 :</span></dt><dd>100</dd><dt><span>coverage_soil_L3 :</span></dt><dd>81</dd><dt><span>coverage_soil_L4 :</span></dt><dd>100</dd><dt><span>data_url :</span></dt><dd>http://ozflux.its.monash.edu.au/</dd><dt><span>end_date :</span></dt><dd>2019-12-31 23:30:00</dd><dt><span>featureType :</span></dt><dd>timeseries</dd><dt><span>history :</span></dt><dd>Cleaned by cleanup_netcdf_files.py</dd><dt><span>institution :</span></dt><dd>Charles Darwin University and University of Western Australia</dd><dt><span>irga_type :</span></dt><dd>li7500</dd><dt><span>latitude :</span></dt><dd>-12.4952</dd><dt><span>license_type :</span></dt><dd>CC BY 4.0</dd><dt><span>license_url :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>longitude :</span></dt><dd>131.15005</dd><dt><span>metadata_url :</span></dt><dd>http://http://www.ozflux.org.au/monitoringsites/howardsprings/index.html</dd><dt><span>nc_level :</span></dt><dd>L4</dd><dt><span>nc_nrecs :</span></dt><dd>315551</dd><dt><span>nc_rundatetime :</span></dt><dd>2020-05-04 18:12:56</dd><dt><span>ozflux_url :</span></dt><dd>http://ozflux.org.au/</dd><dt><span>python_version :</span></dt><dd>2.7.15 | packaged by conda-forge | (default, Jul  2 2019, 00:39:44) \n",
+       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-2.147e+09</div><input id='attrs-107a9290-a8aa-475c-88fc-391ac2ec84a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-107a9290-a8aa-475c-88fc-391ac2ec84a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-568afce4-1bb3-4363-b27e-540f73bf278a' class='xr-var-data-in' type='checkbox'><label for='data-568afce4-1bb3-4363-b27e-540f73bf278a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>long_name :</span></dt><dd>WGS 1984 datum</dd><dt><span>longitude_of_prime_meridian :</span></dt><dd>0.0</dd><dt><span>semi_major_axis :</span></dt><dd>6378137.0</dd><dt><span>inverse_flattening :</span></dt><dd>298.257223563</dd></dl></div><div class='xr-var-data'><pre>array(-2.14748365e+09)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bc6ce90a-872b-4539-bf7e-4e5d6608a36e' class='xr-section-summary-in' type='checkbox'  ><label for='section-bc6ce90a-872b-4539-bf7e-4e5d6608a36e' class='xr-section-summary' >Attributes: <span>(50)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>BulkDensity :</span></dt><dd>1500</dd><dt><span>FgDepth :</span></dt><dd>0.08</dd><dt><span>OrganicContent :</span></dt><dd>0.01</dd><dt><span>PythonVersion :</span></dt><dd>2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, 15:42:17) [MSC v.1500 64 bit (AMD64)]</dd><dt><span>QC_version :</span></dt><dd>PyFluxPro V1.0.1</dd><dt><span>SwsDefault :</span></dt><dd>0.10</dd><dt><span>SwsSeries :</span></dt><dd>[&#x27;Sws&#x27;]</dd><dt><span>altitude :</span></dt><dd>64m</dd><dt><span>canopy_height :</span></dt><dd>16m</dd><dt><span>comment :</span></dt><dd>CF metadata, OzFlux standard variable names</dd><dt><span>contact :</span></dt><dd>jason.beringer@uwa.edu.au</dd><dt><span>controlfile_name :</span></dt><dd>controlfiles/OzFlux/Tower/L4/HowardSprings.txt</dd><dt><span>coverage_flux_L3 :</span></dt><dd>75</dd><dt><span>coverage_flux_L4 :</span></dt><dd>75</dd><dt><span>coverage_meteorology_L3 :</span></dt><dd>84</dd><dt><span>coverage_meteorology_L4 :</span></dt><dd>100</dd><dt><span>coverage_radiation_L3 :</span></dt><dd>79</dd><dt><span>coverage_radiation_L4 :</span></dt><dd>100</dd><dt><span>coverage_soil_L3 :</span></dt><dd>81</dd><dt><span>coverage_soil_L4 :</span></dt><dd>100</dd><dt><span>data_url :</span></dt><dd>http://ozflux.its.monash.edu.au/</dd><dt><span>end_date :</span></dt><dd>2019-12-31 23:30:00</dd><dt><span>featureType :</span></dt><dd>timeseries</dd><dt><span>history :</span></dt><dd>Cleaned by cleanup_netcdf_files.py</dd><dt><span>institution :</span></dt><dd>Charles Darwin University and University of Western Australia</dd><dt><span>irga_type :</span></dt><dd>li7500</dd><dt><span>latitude :</span></dt><dd>-12.4952</dd><dt><span>license_type :</span></dt><dd>CC BY 4.0</dd><dt><span>license_url :</span></dt><dd>https://creativecommons.org/licenses/by/4.0/</dd><dt><span>longitude :</span></dt><dd>131.15005</dd><dt><span>metadata_url :</span></dt><dd>http://http://www.ozflux.org.au/monitoringsites/howardsprings/index.html</dd><dt><span>nc_level :</span></dt><dd>L4</dd><dt><span>nc_nrecs :</span></dt><dd>315551</dd><dt><span>nc_rundatetime :</span></dt><dd>2020-05-04 18:12:56</dd><dt><span>ozflux_url :</span></dt><dd>http://ozflux.org.au/</dd><dt><span>python_version :</span></dt><dd>2.7.15 | packaged by conda-forge | (default, Jul  2 2019, 00:39:44) \n",
        "[GCC 7.3.0]</dd><dt><span>references :</span></dt><dd>None</dd><dt><span>site_name :</span></dt><dd>Howard Springs</dd><dt><span>site_pi :</span></dt><dd>Lindsay Hutley and Jason Beringer</dd><dt><span>soil :</span></dt><dd>red kandasol</dd><dt><span>source :</span></dt><dd>23m flux tower plus array of soil sensors</dd><dt><span>start_date :</span></dt><dd>2002-01-01 00:30:00</dd><dt><span>time_step :</span></dt><dd>30</dd><dt><span>time_zone :</span></dt><dd>Australia/Darwin</dd><dt><span>title :</span></dt><dd>Flux tower data set from the Howard Springs site for the calendar year 2018</dd><dt><span>tower_height :</span></dt><dd>23m</dd><dt><span>vegetation :</span></dt><dd>Woody savanna</dd><dt><span>xl_datemode :</span></dt><dd>0</dd><dt><span>xl_filename :</span></dt><dd>E:/My Dropbox/Dropbox/Data_flux_data/Site data processing/HowardSprings/2019/Howard_combined_data_all_2019.xlsx</dd><dt><span>xl_moddatetime :</span></dt><dd>2020-01-21 11:59:06</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
@@ -10899,7 +10740,7 @@
        "    xl_moddatetime:           2020-01-21 11:59:06"
       ]
      },
-     "execution_count": 532,
+     "execution_count": 40,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -10916,8 +10757,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 533,
-   "id": "incomplete-american",
+   "execution_count": 41,
+   "id": "neither-helen",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10927,7 +10768,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "blessed-paraguay",
+   "id": "sustainable-mapping",
    "metadata": {},
    "source": [
     "### Calibrate all the models using the optimized function defined above"
@@ -10935,8 +10776,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 534,
-   "id": "brazilian-active",
+   "execution_count": 42,
+   "id": "graduate-secondary",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10949,7 +10790,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "canadian-blast",
+   "id": "improved-tiger",
    "metadata": {},
    "source": [
     "### Compute the model results with the optimimum parameters"
@@ -10957,8 +10798,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 535,
-   "id": "renewable-rough",
+   "execution_count": 43,
+   "id": "impossible-render",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10967,8 +10808,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 536,
-   "id": "cleared-perry",
+   "execution_count": 44,
+   "id": "incorporate-contest",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -10984,7 +10825,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "enhanced-description",
+   "id": "steady-pillow",
    "metadata": {},
    "source": [
     "### Aggregate the results in a single matrix"
@@ -10992,8 +10833,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 537,
-   "id": "better-premises",
+   "execution_count": 45,
+   "id": "cellular-participation",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11036,7 +10877,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "apparent-actress",
+   "id": "psychological-houston",
    "metadata": {},
    "source": [
     "### Plot the time serie"
@@ -11044,8 +10885,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 538,
-   "id": "indonesian-minimum",
+   "execution_count": 46,
+   "id": "suitable-joyce",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -11056,17 +10897,17 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "<ipython-input-538-17ee34689a1b>:42: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
+      "<ipython-input-46-17ee34689a1b>:42: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
       "  plt.annotate(s='', xy=(date_beg,0), xytext=(date_end,0), arrowprops=dict(arrowstyle='<->'))\n",
-      "<ipython-input-538-17ee34689a1b>:43: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
+      "<ipython-input-46-17ee34689a1b>:43: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
       "  plt.annotate(s='', xy=(\"2016-01-01\",0), xytext=(date_beg,0), arrowprops=dict(arrowstyle='<->'))\n",
-      "<ipython-input-538-17ee34689a1b>:44: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
+      "<ipython-input-46-17ee34689a1b>:44: MatplotlibDeprecationWarning: The 's' parameter of annotate() has been renamed 'text' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
       "  plt.annotate(s='', xy=(date_end,0), xytext=(\"2016-12-31\",0), arrowprops=dict(arrowstyle='<->'))\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x576 with 1 Axes>"
       ]
@@ -11137,7 +10978,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cognitive-choice",
+   "id": "downtown-switch",
    "metadata": {},
    "source": [
     "### Compute the model performance \n",
@@ -11146,8 +10987,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 484,
-   "id": "chicken-suicide",
+   "execution_count": 47,
+   "id": "aging-arctic",
    "metadata": {},
    "outputs": [
     {
@@ -11184,69 +11025,69 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>RMSE</th>\n",
-       "      <td>0.867409</td>\n",
-       "      <td>0.931554</td>\n",
-       "      <td>0.924532</td>\n",
-       "      <td>1.038747</td>\n",
+       "      <td>1.283445</td>\n",
+       "      <td>1.273254</td>\n",
+       "      <td>2.945861</td>\n",
+       "      <td>1.762784</td>\n",
        "      <td>0.899593</td>\n",
        "      <td>1.845079</td>\n",
-       "      <td>1.789343</td>\n",
-       "      <td>3.849381</td>\n",
+       "      <td>3.956166</td>\n",
+       "      <td>7.332395</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RMedSE</th>\n",
-       "      <td>0.471161</td>\n",
-       "      <td>0.514767</td>\n",
-       "      <td>0.540893</td>\n",
-       "      <td>0.648825</td>\n",
+       "      <td>0.678966</td>\n",
+       "      <td>0.767610</td>\n",
+       "      <td>2.438221</td>\n",
+       "      <td>1.470380</td>\n",
        "      <td>0.439765</td>\n",
        "      <td>1.392651</td>\n",
-       "      <td>1.189700</td>\n",
-       "      <td>2.635833</td>\n",
+       "      <td>3.034375</td>\n",
+       "      <td>5.581212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NS</th>\n",
-       "      <td>0.709874</td>\n",
-       "      <td>0.665378</td>\n",
-       "      <td>0.670403</td>\n",
-       "      <td>0.583937</td>\n",
+       "      <td>0.364825</td>\n",
+       "      <td>0.374872</td>\n",
+       "      <td>-2.346290</td>\n",
+       "      <td>-0.198222</td>\n",
        "      <td>0.687945</td>\n",
        "      <td>-0.312710</td>\n",
-       "      <td>-0.234599</td>\n",
-       "      <td>-4.713745</td>\n",
+       "      <td>-5.035150</td>\n",
+       "      <td>-19.731502</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RVE</th>\n",
-       "      <td>0.024020</td>\n",
-       "      <td>0.013361</td>\n",
-       "      <td>-0.002139</td>\n",
-       "      <td>0.024325</td>\n",
+       "      <td>-0.153913</td>\n",
+       "      <td>-0.086192</td>\n",
+       "      <td>-0.130060</td>\n",
+       "      <td>0.369599</td>\n",
        "      <td>0.021555</td>\n",
        "      <td>-0.364515</td>\n",
-       "      <td>-0.270482</td>\n",
-       "      <td>-0.801912</td>\n",
+       "      <td>-0.869089</td>\n",
+       "      <td>-1.660680</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MAE</th>\n",
-       "      <td>0.614918</td>\n",
-       "      <td>0.676997</td>\n",
-       "      <td>0.692477</td>\n",
-       "      <td>0.799959</td>\n",
+       "      <td>0.957122</td>\n",
+       "      <td>0.988365</td>\n",
+       "      <td>2.571213</td>\n",
+       "      <td>1.505232</td>\n",
        "      <td>0.619385</td>\n",
        "      <td>1.600261</td>\n",
-       "      <td>1.406583</td>\n",
-       "      <td>3.199727</td>\n",
+       "      <td>3.390706</td>\n",
+       "      <td>6.414795</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bias</th>\n",
-       "      <td>0.092765</td>\n",
-       "      <td>0.051602</td>\n",
-       "      <td>-0.008259</td>\n",
-       "      <td>0.093944</td>\n",
+       "      <td>-0.594413</td>\n",
+       "      <td>-0.332875</td>\n",
+       "      <td>-0.502292</td>\n",
+       "      <td>1.427393</td>\n",
        "      <td>0.083244</td>\n",
        "      <td>-1.407761</td>\n",
-       "      <td>-1.044603</td>\n",
-       "      <td>-3.096990</td>\n",
+       "      <td>-3.356427</td>\n",
+       "      <td>-6.413556</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -11254,23 +11095,23 @@
       ],
       "text/plain": [
        "        Varying_gS  Mod_var_gS  Constant_gS  Mod_cst_gS  PT_model  Bench_PT  \\\n",
-       "RMSE      0.867409    0.931554     0.924532    1.038747  0.899593  1.845079   \n",
-       "RMedSE    0.471161    0.514767     0.540893    0.648825  0.439765  1.392651   \n",
-       "NS        0.709874    0.665378     0.670403    0.583937  0.687945 -0.312710   \n",
-       "RVE       0.024020    0.013361    -0.002139    0.024325  0.021555 -0.364515   \n",
-       "MAE       0.614918    0.676997     0.692477    0.799959  0.619385  1.600261   \n",
-       "bias      0.092765    0.051602    -0.008259    0.093944  0.083244 -1.407761   \n",
-       "\n",
-       "         fPAR_PM  Bench_PM  \n",
-       "RMSE    1.789343  3.849381  \n",
-       "RMedSE  1.189700  2.635833  \n",
-       "NS     -0.234599 -4.713745  \n",
-       "RVE    -0.270482 -0.801912  \n",
-       "MAE     1.406583  3.199727  \n",
-       "bias   -1.044603 -3.096990  "
+       "RMSE      1.283445    1.273254     2.945861    1.762784  0.899593  1.845079   \n",
+       "RMedSE    0.678966    0.767610     2.438221    1.470380  0.439765  1.392651   \n",
+       "NS        0.364825    0.374872    -2.346290   -0.198222  0.687945 -0.312710   \n",
+       "RVE      -0.153913   -0.086192    -0.130060    0.369599  0.021555 -0.364515   \n",
+       "MAE       0.957122    0.988365     2.571213    1.505232  0.619385  1.600261   \n",
+       "bias     -0.594413   -0.332875    -0.502292    1.427393  0.083244 -1.407761   \n",
+       "\n",
+       "         fPAR_PM   Bench_PM  \n",
+       "RMSE    3.956166   7.332395  \n",
+       "RMedSE  3.034375   5.581212  \n",
+       "NS     -5.035150 -19.731502  \n",
+       "RVE    -0.869089  -1.660680  \n",
+       "MAE     3.390706   6.414795  \n",
+       "bias   -3.356427  -6.413556  "
       ]
      },
-     "execution_count": 484,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11299,7 +11140,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "expired-continent",
+   "id": "french-foster",
    "metadata": {},
    "source": [
     "**Dry season period, RMSE and NS for both models**"
@@ -11307,8 +11148,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 485,
-   "id": "tight-madonna",
+   "execution_count": 48,
+   "id": "smaller-banner",
    "metadata": {},
    "outputs": [
     {
@@ -11345,69 +11186,69 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>RMSE</th>\n",
-       "      <td>0.613282</td>\n",
-       "      <td>0.626179</td>\n",
-       "      <td>0.728898</td>\n",
-       "      <td>0.750989</td>\n",
+       "      <td>0.931820</td>\n",
+       "      <td>0.893647</td>\n",
+       "      <td>2.796542</td>\n",
+       "      <td>1.308901</td>\n",
        "      <td>0.635991</td>\n",
        "      <td>2.001012</td>\n",
-       "      <td>2.367712</td>\n",
-       "      <td>5.080072</td>\n",
+       "      <td>4.892235</td>\n",
+       "      <td>9.123506</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RMedSE</th>\n",
-       "      <td>0.438843</td>\n",
-       "      <td>0.364637</td>\n",
-       "      <td>0.482288</td>\n",
-       "      <td>0.520776</td>\n",
+       "      <td>0.407479</td>\n",
+       "      <td>0.461836</td>\n",
+       "      <td>2.378363</td>\n",
+       "      <td>0.990405</td>\n",
        "      <td>0.384338</td>\n",
        "      <td>1.306227</td>\n",
-       "      <td>1.949292</td>\n",
-       "      <td>4.380618</td>\n",
+       "      <td>4.206196</td>\n",
+       "      <td>7.780005</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NS</th>\n",
-       "      <td>0.746747</td>\n",
-       "      <td>0.735983</td>\n",
-       "      <td>0.642259</td>\n",
-       "      <td>0.620246</td>\n",
+       "      <td>0.415347</td>\n",
+       "      <td>0.462268</td>\n",
+       "      <td>-4.265958</td>\n",
+       "      <td>-0.153581</td>\n",
        "      <td>0.727644</td>\n",
        "      <td>-1.696088</td>\n",
-       "      <td>-2.774787</td>\n",
-       "      <td>-16.376981</td>\n",
+       "      <td>-15.115697</td>\n",
+       "      <td>-55.047735</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RVE</th>\n",
-       "      <td>-0.045086</td>\n",
-       "      <td>-0.004417</td>\n",
-       "      <td>-0.039894</td>\n",
-       "      <td>0.069212</td>\n",
+       "      <td>-0.046600</td>\n",
+       "      <td>0.068944</td>\n",
+       "      <td>0.406716</td>\n",
+       "      <td>0.336310</td>\n",
        "      <td>-0.058347</td>\n",
        "      <td>-0.613086</td>\n",
-       "      <td>-0.735152</td>\n",
-       "      <td>-1.652722</td>\n",
+       "      <td>-1.601375</td>\n",
+       "      <td>-2.999871</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MAE</th>\n",
-       "      <td>0.482613</td>\n",
-       "      <td>0.478669</td>\n",
-       "      <td>0.573307</td>\n",
-       "      <td>0.598198</td>\n",
+       "      <td>0.621935</td>\n",
+       "      <td>0.649353</td>\n",
+       "      <td>2.500643</td>\n",
+       "      <td>1.043889</td>\n",
        "      <td>0.496328</td>\n",
        "      <td>1.702450</td>\n",
-       "      <td>2.084216</td>\n",
-       "      <td>4.570540</td>\n",
+       "      <td>4.428542</td>\n",
+       "      <td>8.296030</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bias</th>\n",
-       "      <td>-0.124684</td>\n",
-       "      <td>-0.012215</td>\n",
-       "      <td>-0.110326</td>\n",
-       "      <td>0.191402</td>\n",
+       "      <td>-0.128870</td>\n",
+       "      <td>0.190662</td>\n",
+       "      <td>1.124757</td>\n",
+       "      <td>0.930052</td>\n",
        "      <td>-0.161357</td>\n",
        "      <td>-1.695466</td>\n",
-       "      <td>-2.033035</td>\n",
-       "      <td>-4.570540</td>\n",
+       "      <td>-4.428542</td>\n",
+       "      <td>-8.296030</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -11415,23 +11256,23 @@
       ],
       "text/plain": [
        "        Varying_gS  Mod_var_gS  Constant_gS  Mod_cst_gS  PT_model  Bench_PT  \\\n",
-       "RMSE      0.613282    0.626179     0.728898    0.750989  0.635991  2.001012   \n",
-       "RMedSE    0.438843    0.364637     0.482288    0.520776  0.384338  1.306227   \n",
-       "NS        0.746747    0.735983     0.642259    0.620246  0.727644 -1.696088   \n",
-       "RVE      -0.045086   -0.004417    -0.039894    0.069212 -0.058347 -0.613086   \n",
-       "MAE       0.482613    0.478669     0.573307    0.598198  0.496328  1.702450   \n",
-       "bias     -0.124684   -0.012215    -0.110326    0.191402 -0.161357 -1.695466   \n",
-       "\n",
-       "         fPAR_PM   Bench_PM  \n",
-       "RMSE    2.367712   5.080072  \n",
-       "RMedSE  1.949292   4.380618  \n",
-       "NS     -2.774787 -16.376981  \n",
-       "RVE    -0.735152  -1.652722  \n",
-       "MAE     2.084216   4.570540  \n",
-       "bias   -2.033035  -4.570540  "
+       "RMSE      0.931820    0.893647     2.796542    1.308901  0.635991  2.001012   \n",
+       "RMedSE    0.407479    0.461836     2.378363    0.990405  0.384338  1.306227   \n",
+       "NS        0.415347    0.462268    -4.265958   -0.153581  0.727644 -1.696088   \n",
+       "RVE      -0.046600    0.068944     0.406716    0.336310 -0.058347 -0.613086   \n",
+       "MAE       0.621935    0.649353     2.500643    1.043889  0.496328  1.702450   \n",
+       "bias     -0.128870    0.190662     1.124757    0.930052 -0.161357 -1.695466   \n",
+       "\n",
+       "          fPAR_PM   Bench_PM  \n",
+       "RMSE     4.892235   9.123506  \n",
+       "RMedSE   4.206196   7.780005  \n",
+       "NS     -15.115697 -55.047735  \n",
+       "RVE     -1.601375  -2.999871  \n",
+       "MAE      4.428542   8.296030  \n",
+       "bias    -4.428542  -8.296030  "
       ]
      },
-     "execution_count": 485,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11456,7 +11297,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "wanted-drama",
+   "id": "important-plate",
    "metadata": {},
    "source": [
     "**Wet season period, RMSE and NS for both models**"
@@ -11464,8 +11305,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 486,
-   "id": "graduate-freeze",
+   "execution_count": 49,
+   "id": "subsequent-assets",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -11506,69 +11347,69 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>RMSE</th>\n",
-       "      <td>0.770018</td>\n",
-       "      <td>0.808084</td>\n",
-       "      <td>0.801993</td>\n",
-       "      <td>0.918294</td>\n",
+       "      <td>1.159471</td>\n",
+       "      <td>1.144177</td>\n",
+       "      <td>2.855625</td>\n",
+       "      <td>1.691557</td>\n",
        "      <td>0.831119</td>\n",
        "      <td>1.797729</td>\n",
-       "      <td>1.936702</td>\n",
-       "      <td>4.116962</td>\n",
+       "      <td>4.221179</td>\n",
+       "      <td>7.730995</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RMedSE</th>\n",
-       "      <td>0.461744</td>\n",
-       "      <td>0.448924</td>\n",
-       "      <td>0.505759</td>\n",
-       "      <td>0.609993</td>\n",
+       "      <td>0.610701</td>\n",
+       "      <td>0.656019</td>\n",
+       "      <td>2.378363</td>\n",
+       "      <td>1.358722</td>\n",
        "      <td>0.413534</td>\n",
        "      <td>1.265567</td>\n",
-       "      <td>1.278348</td>\n",
-       "      <td>2.545557</td>\n",
+       "      <td>3.322006</td>\n",
+       "      <td>5.591585</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NS</th>\n",
-       "      <td>0.800861</td>\n",
-       "      <td>0.780686</td>\n",
-       "      <td>0.783979</td>\n",
-       "      <td>0.716784</td>\n",
+       "      <td>0.548484</td>\n",
+       "      <td>0.560317</td>\n",
+       "      <td>-1.738771</td>\n",
+       "      <td>0.038993</td>\n",
        "      <td>0.768005</td>\n",
        "      <td>-0.085430</td>\n",
-       "      <td>-0.259735</td>\n",
-       "      <td>-4.692554</td>\n",
+       "      <td>-4.984405</td>\n",
+       "      <td>-19.073555</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>RVE</th>\n",
-       "      <td>0.009411</td>\n",
-       "      <td>0.007280</td>\n",
-       "      <td>-0.009784</td>\n",
-       "      <td>0.022225</td>\n",
+       "      <td>-0.131226</td>\n",
+       "      <td>-0.062211</td>\n",
+       "      <td>-0.036571</td>\n",
+       "      <td>0.360602</td>\n",
        "      <td>0.003059</td>\n",
        "      <td>-0.373457</td>\n",
-       "      <td>-0.344705</td>\n",
-       "      <td>-0.896827</td>\n",
+       "      <td>-0.986124</td>\n",
+       "      <td>-1.817859</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MAE</th>\n",
-       "      <td>0.563843</td>\n",
-       "      <td>0.597555</td>\n",
-       "      <td>0.628617</td>\n",
-       "      <td>0.720772</td>\n",
+       "      <td>0.856273</td>\n",
+       "      <td>0.882958</td>\n",
+       "      <td>2.519780</td>\n",
+       "      <td>1.411916</td>\n",
        "      <td>0.585899</td>\n",
        "      <td>1.541070</td>\n",
-       "      <td>1.553741</td>\n",
-       "      <td>3.389369</td>\n",
+       "      <td>3.672916</td>\n",
+       "      <td>6.750230</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>bias</th>\n",
-       "      <td>0.034944</td>\n",
-       "      <td>0.027033</td>\n",
-       "      <td>-0.036332</td>\n",
-       "      <td>0.082527</td>\n",
+       "      <td>-0.487281</td>\n",
+       "      <td>-0.231006</td>\n",
+       "      <td>-0.135799</td>\n",
+       "      <td>1.339018</td>\n",
        "      <td>0.011358</td>\n",
        "      <td>-1.386752</td>\n",
-       "      <td>-1.279987</td>\n",
-       "      <td>-3.330175</td>\n",
+       "      <td>-3.661761</td>\n",
+       "      <td>-6.750230</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -11576,23 +11417,23 @@
       ],
       "text/plain": [
        "        Varying_gS  Mod_var_gS  Constant_gS  Mod_cst_gS  PT_model  Bench_PT  \\\n",
-       "RMSE      0.770018    0.808084     0.801993    0.918294  0.831119  1.797729   \n",
-       "RMedSE    0.461744    0.448924     0.505759    0.609993  0.413534  1.265567   \n",
-       "NS        0.800861    0.780686     0.783979    0.716784  0.768005 -0.085430   \n",
-       "RVE       0.009411    0.007280    -0.009784    0.022225  0.003059 -0.373457   \n",
-       "MAE       0.563843    0.597555     0.628617    0.720772  0.585899  1.541070   \n",
-       "bias      0.034944    0.027033    -0.036332    0.082527  0.011358 -1.386752   \n",
-       "\n",
-       "         fPAR_PM  Bench_PM  \n",
-       "RMSE    1.936702  4.116962  \n",
-       "RMedSE  1.278348  2.545557  \n",
-       "NS     -0.259735 -4.692554  \n",
-       "RVE    -0.344705 -0.896827  \n",
-       "MAE     1.553741  3.389369  \n",
-       "bias   -1.279987 -3.330175  "
+       "RMSE      1.159471    1.144177     2.855625    1.691557  0.831119  1.797729   \n",
+       "RMedSE    0.610701    0.656019     2.378363    1.358722  0.413534  1.265567   \n",
+       "NS        0.548484    0.560317    -1.738771    0.038993  0.768005 -0.085430   \n",
+       "RVE      -0.131226   -0.062211    -0.036571    0.360602  0.003059 -0.373457   \n",
+       "MAE       0.856273    0.882958     2.519780    1.411916  0.585899  1.541070   \n",
+       "bias     -0.487281   -0.231006    -0.135799    1.339018  0.011358 -1.386752   \n",
+       "\n",
+       "         fPAR_PM   Bench_PM  \n",
+       "RMSE    4.221179   7.730995  \n",
+       "RMedSE  3.322006   5.591585  \n",
+       "NS     -4.984405 -19.073555  \n",
+       "RVE    -0.986124  -1.817859  \n",
+       "MAE     3.672916   6.750230  \n",
+       "bias   -3.661761  -6.750230  "
       ]
      },
-     "execution_count": 486,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -11618,7 +11459,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "polyphonic-newspaper",
+   "id": "frequent-jenny",
    "metadata": {},
    "source": [
     "### Inverse modelling\n",
@@ -11627,148 +11468,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 557,
-   "id": "nasty-cutting",
+   "execution_count": 50,
+   "id": "adopted-lender",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f9f81aec700>]"
-      ]
-     },
-     "execution_count": 557,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "plt.plot(stress_factor_func(Data.Sws,0.5,0.1))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 541,
-   "id": "contained-istanbul",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "\u001b[0;31mSignature:\u001b[0m \u001b[0mstress_factor_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpsi_vec\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPsi_3\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPsi_4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-       "\u001b[0;31mDocstring:\u001b[0m <no docstring>\n",
-       "\u001b[0;31mSource:\u001b[0m   \n",
-       "\u001b[0;32mdef\u001b[0m \u001b[0mstress_factor_func\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpsi_vec\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mPsi_3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mPsi_4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0mLength\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpsi_vec\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msize\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0mStress_func\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mLength\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0mPsi_3\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mPsi_3\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0mPsi_4\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mPsi_4\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0;32mfor\u001b[0m \u001b[0mj\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mLength\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0mPsi_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpsi_vec\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merror\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Error\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;31m# have to convert float to arrays in order to run the compiled functions\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0mPsi_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mPsi_val\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;32mif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mPsi_val\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mPsi_4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0mStress_func\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;32melif\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mPsi_val\u001b[0m \u001b[0;34m>=\u001b[0m \u001b[0mPsi_4\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m&\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mPsi_val\u001b[0m \u001b[0;34m<\u001b[0m \u001b[0mPsi_3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0mStress_func\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfloat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrising_slope\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mPsi_val\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mPsi_3\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mPsi_4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m        \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m            \u001b[0mStress_func\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mj\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\n",
-       "\u001b[0;34m\u001b[0m    \u001b[0;32mreturn\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mStress_func\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-       "\u001b[0;31mFile:\u001b[0m      /work/leave-ii/notebooks/Finished_project/simpler_model/<ipython-input-517-447e9184bd9d>\n",
-       "\u001b[0;31mType:\u001b[0m      function\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "stress_factor_func??"
+    "# compute the stomatas conductances\n",
+    "Var_gs = stress_factor_func(Data.Sws,Res_PM_var[0],Res_PM_var[1])*1/7*1000\n",
+    "Mod_var_gs = stress_factor_func(Data.Sws,Res_PM_var_mod[0],Res_PM_var_mod[1])*1/7*1000\n",
+    "Theoretical_gs = inv_PM_run(Data)*1000"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 564,
-   "id": "previous-fiction",
+   "execution_count": 51,
+   "id": "parliamentary-transport",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# compute the stomatas conductances\n",
-    "Var_gs = stress_factor_func(Data.Sws,Res_PM_var[0],Res_PM_var[1])*1/70*100\n",
-    "plt.plot(Var_gs)\n",
-    "plt.show()\n",
-    "plt.clf()\n",
-    "plt.plot(Data.Sws)\n",
-    "plt.show()\n",
-    "plt.clf()\n",
-    "plt.scatter(Data.Sws,Var_gs)\n",
-    "Mod_var_gs = stress_factor_func(Data.Sws,Res_PM_var_mod[0],Res_PM_var_mod[1])*1/70*100\n",
-    "Theoretical_gs = inv_PM_run(Data)*100"
+    "# aerodynamic resistance:\n",
+    "VH_T = VH_func(Data.Ws,Data.ustar)\n",
+    "displ_T = d_func(VH_T)\n",
+    "ZOM_T = zom_func(VH_T)\n",
+    "ZOH_T = zoh_func(ZOM_T)\n",
+    "Ra_T = ra_func(ZOM_T, ZOH_T, displ_T, Data.Ws)\n",
+    "Ga_T = 1/Ra_T*1000"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 488,
-   "id": "romantic-subcommittee",
+   "execution_count": 52,
+   "id": "solid-material",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1080x576 with 2 Axes>"
       ]
@@ -11786,9 +11521,10 @@
     "ax2.plot(Data.index, mv_average_df(Data,\"Sws\",3), color = \"k\")\n",
     "ax2.set_ylabel(r\"Observed $\\theta$\", size = 18)\n",
     "axe.scatter(Data.index, mv_average_numpy(Var_gs,3), label = r\"Varying $g_s$\", color= \"steelblue\")\n",
+    "axe.scatter(Data.index, mv_average_numpy(Ga_T,3), label = r\"$g_a$\", color= \"green\")\n",
     "#axe.scatter(Data.index, Mod_var_gs, label = r\"Modified varying $g_s$\")\n",
     "axe.scatter(Data.index, mv_average_numpy(Theoretical_gs,3), label = r\"Theoretical $g_s$\", color = \"red\")\n",
-    "axe.set_ylim([0,2.5])\n",
+    "#axe.set_ylim([0,2.5])\n",
     "axe.set_xlabel(\"Time\", size = 18)\n",
     "axe.set_ylabel(r\"$g_s$ [mm/s]\", size = 18)\n",
     "axe.legend(loc = 2, prop={'size': 13})\n",
@@ -11798,7 +11534,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "overall-single",
+   "id": "developed-subcommittee",
    "metadata": {},
    "source": [
     "Create a dataframe with values of theta, $g_s$ times series, order by theta value and plot"
@@ -11806,17 +11542,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 489,
-   "id": "attempted-information",
+   "execution_count": 53,
+   "id": "homeless-lindsay",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[0.1 0. ]\n",
-      "[0.2882549 0.       ]\n",
-      "[0.3   0.045]\n",
+      "[0.30096308 0.05303654]\n",
+      "[0.5  0.09]\n",
+      "[0.5  0.09]\n",
       "[0.5  0.09]\n"
      ]
     }
@@ -11852,7 +11588,8 @@
     "        Nat_gs[Nat_gs < 0] = 0\n",
     "        \n",
     "        # create a dictionnary out of that\n",
-    "        dic = {\"Var_gs\":mv_average_numpy(Var_gs, 3),\"Nat_gs\":mv_average_numpy(Nat_gs, 3),\"Theta\":mv_average_df(Data,\"Sws\",3)}\n",
+    "        #dic = {\"Var_gs\":mv_average_numpy(Var_gs, 3),\"Nat_gs\":mv_average_numpy(Nat_gs, 3),\"Theta\":mv_average_df(Data,\"Sws\",3)}\n",
+    "        dic = {\"Var_gs\":Var_gs,\"Nat_gs\":Nat_gs,\"Theta\":Data.Sws.to_numpy()}\n",
     "        Res = pd.DataFrame(dic)\n",
     "        \n",
     "        # sort it according to theta values\n",
@@ -11877,46 +11614,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 559,
-   "id": "contemporary-samba",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<AxesSubplot:xlabel='Theta'>"
-      ]
-     },
-     "execution_count": 559,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "Res.plot(x = \"Theta\",y= \"Var_gs\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 490,
-   "id": "proof-dictionary",
+   "execution_count": 54,
+   "id": "major-violation",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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RObfNzJoUe+X08LY1PkP4V+jPE0IxRJ97l9KohvEhXKlwtN5bNDHsqKhjpPcm4ifLew7hyfZ6eVUgJ8ub7D0dVfFxvqSApI865/4d3mjeivexKkZ6i/eIBPH65pzbEKpqifUm7Eh5/bljPWasio9seDn051hFVeWEtvXgnNsm75r/eai9yd2SzjOzHznn/hXrPgAAIGuYI6fuffJ6R+cygRierx4dY98R8pLOke0mtpvZs/Lmwu2SGsPtOMxsRWj7YEUVdIS2j5A0yznXrYWcmd3gI95YbWEyMUfeY2br5FVK18hbCDLsyBh3yeccOVq8OfJueQuhPyh1W3T+YrEQOZAXtAEBkG1PS/o/SXPMrMfXv8ysT+ircNJ7n5Zb1DHD5a2EnRFmdpGk2+Ul+WZE9vyN4T5Jh5rZxyLuH5D0JXktLJb5DOMxeSuyz47oaSczO1ZexcgDMapYsukReW05vhRq7RGOp1rec90dOkaSFOqv1yDvjdNEhRKmocqLFfL6Gx6tnonUmK+xvK/gpfJ/0iPyKmq+YGZdPRHNbKS8hHivzGyYmY2Ls+9EeV95jPV1yUvNbEDEsQPkVZm/re5vOrLpEXl9Ii8N9QwPxzJM761IH962b+QYSVKoNUm47+IgAQCAXGOOHDuGAbHWDDGz6ZI+LK8vcqK4Mso5t13e2iYfM7P3R8Rj8iqeJW8RwUj18tp8nKPuc+F6ecn8j0paG7lOjOK/xqcpfr/qWPG+Jm+tkxlmdnjEearkVeAnxcxODz3H6O2D5b0O7XrvA5ewU83suIhjTe+11Pt9so+djtD6LWvkPf+un6tQr/DLo48P9YiPFu67zRwZyBMqqwFklXPOmdkF8iZn683sDnlfHdtX0mGSPi5vonenc67ZzP4i6TNm1iKv+vhgeQt6/Fvde/b6YmZnyVscZJekX0v6RNQ8bLdz7vcR/75RXuL1XjObL+8rjefJ62082znXHHX+L0oaGPpnpaSDzeyboX8/45z7o+Qt8mFml4diWGVmt8vrmfxleb3pvh113ovkLdR3nXPuOz6fflzOubfN7Bp5VQRPmtmdoV0XyXudPh+56F9IvbxeyOG/R24/N8Z2yZvMf1nSMjP7mbyVyk+Vt8DQ60qSc+4tM5snb2GWv5vZXfKuqTnyJs7jkzjNSEn/MrMn5VVnb5b3Vc1j5SV82+Ql0aO9Lm+MwlUvMyWNknc95OrrmG+Y2XWS/p+k1Wb2S3nP/xJ5FfkT5VW+S9Lhkh4zs9/Je1P8lrzKl0vl/VytykXMAADgPcyRY8+R5X0zb76Z/VHe3Kxd3iLYn5E3B7si6ryj5Y3BY865Kak/86RcLq8gYZWZLZT0qryCjY9Iutc5F/0tv3p5i3iPVfd2cvWSqiQdKm9B70iPh877o9BzapS3UPkF8gpEalOI90pJK+XNERfK+/DgU0ot//MbSdvN7GF5xRvt8qqpL5DXxuS7MVpkPCOpPvSY2yTNkLdA+93OuX8od66WV9jxdzNbJG8Rxf+WN/bSe3NkSXrezJ6Qt4jlK5KGy5tPt8prUQggD0hWA8g659w6Mxsvb8J9lryEYrO8r2ndqe5tHD4jb/L7MUkXyks8fkNe4rDbV+J8Ok5eBe9Aeb34ov1HEZ/8h5KCHw7F9AV5C6M8J+lTzrlfx7j/1fLePISNlnR96O+/kBSeiMs590DoDcc35SVd98obi68656L7/IWrnbPWx9o5t8jMtkn6it5Llj8j6ZyoNydh4WT1ZufcfyK2h1/PNkUlQp1zq83sE5LmyRuXFnlfM50sr09fKvH+yMx2y5uQf0/SVnnjuFPSHUmc4gV5r+mp8ibwQ+W9edom7xr4kXPu6Rj3+6qkE0P3HSovOfxp59y9qcSfLufc98xsl7w3UDdK2iLvq4omL1kd7uW4Vd54TJV0tryEfJO8yqmbcpVgBwAA3TFHjjlH3iCvMvZMvTc3a5R0m6T/l6c58hoz+y95i2HOlddXerO8OeGPYtzlMXmV0gFFFG6E1nd5RV67j24FHaHCkY9I+r686vQ+ktbK60l+sVJIVof6MJ8q77X5mry58W8k3Sov8Z2MmfIqwE+Wl6DuJ6/9ylOSrnDOPRjjPn+Q9/pdKy9Rv13ea3x9jGOzxjn3mJmdLq+o4+vykvW/ltf3/Ql173f+I3ljfJm8xd63h475nnPumRyGDSCCed/YBgAUMjP7rbxJ6lE5bg+CkIjq9qnOuZX5jSY+M/uJpC9KGh76KiQAAEBJMrPL5BUrvD/cGxq5FVHdnpVvgGZKqGDmN5LOc85RNQ0UMCqrAaDAmVkfeSuAX0yiGmFmtk90z8ZQ78rPSvo/EtUAAKAMfERSHYlqhIV6ZfeNnCeHelZfKa+dyco8hQYgSQWTrA4tEPU3eV9P7iPpN8656J6tfSXdJWmCpDck/Y9z7uUchwoAOeWca9d7Pf6AsClm9gNJv5X39djRkj4n72uaX8tjXAAyiDkyAMTnnJue7xhQcPpK+o+Z3SOvLckBkv5H3ho5N1HQARS+gklWy+vVOs05tzv0qdfjZvYn59wTEcdcLOkt59xhZvYpSTfJ+6UDAEC52Shpk7wE9QGS9sjr8fg959xf8xkYgIxijgwAQPLaJC2Vt8DjcHnruWyQ9AXn3KJ8BgYgOQXZs9rM9pW3Gu6lzrknI7Yvl/Sd0IIBfeStljvYFeKTAAAAADKIOTIAAABKXSFVVsvMAvJWvD1M0sLISXhIjaStkve1eDPbKa+a7PWo81wi6RJJCgaDEw466KBsh55RnZ2dqqioyHcYRYmx84+x84dx84+x84+x84+x8y/R2L3b9m7X3/tU9FFloFImy1VoBe3FF1983Tk3OJ1zFPocmZ+r7GBcs4NxzQ7GNTsY1+xgXLODcc2OUh3XRHPkgkpWO+c6JI0zs4GSfmdm73fO/Z+P8/xM0s8kaeLEiW7NmjWZDTTLVq5cqSlTpuQ7jKLE2PnH2PnDuPnH2PnH2PnH2PmXaOxGzh+pGWNnaN7keRrWb1huAytwZvafdM9R6HNkfq6yg3HNDsY1OxjX7GBcs4NxzQ7GNTtKdVwTzZELMjXvnHtb0gpJp0ftapJ0kCSFvuI4QN4iMgAybOT8kZq7dK62NW/LdygAgALXeGWjFk5fSKI6y5gjAwAAoNQVTLLazAaHqkVkZkFJp0p6IeqwP0i6MPT3T0qqpxcfkB1NzU1a/PRijVkwhqQ1AAB5whwZAAAA5aRgktXyVmldYWbrJf1L0iPOuYfN7LtmdlbomMWSDjCzjZKulPS1PMUKlIXWjlbtad9D0hoAgPxhjgwAAICyUTA9q51z6yWNj7H9WxF/3yPp3FzGBcBLWktS3do6Ld+0XJsu25TniAAAKA/MkQEAAFBOCqmyGkCBqgpUKdgnqDkT5mj1rNX5DgcAAAAAAAAlqGAqqwEUnqpAlQIW0MxxMzVv8jwWzgJQlnbt2qXt27erra0t36Hk1YABA/T888/nO4yCU1lZqSFDhqh///75DiVjUr3muTayo1DHtRSveQAAUDhIVgOIqaa6RjPGziBJDaCs7dq1S6+99ppqamoUDAZlZvkOKW+am5tVXV2d7zAKinNOLS0tampqkqSSSN75uea5NrKjEMe1FK95AABQWEhWA4ip8crGfIcAAHm3fft21dTUaN999813KChAZqZ9991XNTU1euWVV0oiccc1j0RK8ZoHAACFhZ7VAAAAcbS1tSkYDOY7DBS4YDBYMm1iuOaRjFK65gEAQGEhWQ0AAJBAObf+QHJK7RopteeDzOMaAQAA2UKyGgAAAAAAAACQdySrAQAAAAAAAAB5R7IaAABk3Mj5IzV36Vxta96W71AAAAAAAEWCZDUAAMi4puYmLX56scYsGEPSGjnR2NgoM9PLL7+c71CAnOCaBwAguyjAyQ+S1QAAICtaO1q1p30PSescW7Nmjc4++2wNHjxY/fv31+GHH64rrrhC27YV7thPmTJFN9xwQ77DQJHimgcAANlAAU5+kKwGAABZFU5a162t06Qlk/IdTkl75JFHNGnSJI0dO1br1q3Trl279Nhjj+mAAw7QY489lu/wgIzjmgcAANlEAU7ukawGAABZVRWoUrBPUHMmzNHqWavzHU5O1Tc06YIF9Tr9+qW6YEG96huasvp4c+fO1fnnn6+bbrpJNTU1kqThw4dr3rx5+tSnPiVJeuONN/TZz35Ww4YN07Bhw3ThhRfqzTff7DrH6NGjdcMNN2jq1Knq16+famtrtX79ej3wwAM67LDDNGDAAM2ePVvt7e1dx3/3u9/VpEmT1K9fP02cOFH/+te/up3vl7/8Zde/X375ZZmZGhsbJUlf/OIXtWrVKl1//fXq16+fxo4dK0l69913dfXVV+uQQw7RoEGDdPrpp2vjxo1d53n11Vd11llnacCAATr88MP15z//udfxuffeezVmzBj169dP5557rr7yla/ovPPO8zvciKGUrvn77rsvr9f8OeecwzUPAECBoAAnd0hWAwCArAgnqWePn63Nl2/WwukLNazfsHyHlTP1DU26eWmDtu9skZO0fWeLbl7akLXk3YsvvqiNGzfq/PPPT3jcpz/9ab311lt6/vnn9fzzz+v111/XBRdc0O2YX/ziF1q0aJHeeustHXvssTrnnHO0atUqPfPMM2poaNAf/vAH/frXv+46/rbbbtMtt9yiN998U5/85Cd1xhlnaNeuXUnF/dOf/lQnnnii5s2bp927d2vDhg2SpM997nN64YUX9MQTT+jVV1/V8ccfrzPPPFNtbW1dzyMQCGjLli3629/+pjvvvDPh4yxevFjXXnut7r33Xu3cuVMnnniibrnlFo0bNy6pONG7UrvmV6xYkddrfuLEiVzzAAAUiHIuwMk1ktUAACDjaqpryjZJHbZkxQbtbevotm1vW4eWrNiQlcfbsWOHJHVVl8byyiuvaPny5Zo/f772339/7b///po/f76WLVvWrb/vJZdcoiOPPFKVlZU6//z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       "text/plain": [
        "<Figure size 1440x1080 with 4 Axes>"
       ]
@@ -11959,7 +11663,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "worthy-branch",
+   "id": "lonely-browser",
    "metadata": {},
    "source": [
     "### Influence of the atmospheric forcing over the model behavior\n",
@@ -11978,7 +11682,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "searching-consumption",
+   "id": "toxic-contribution",
    "metadata": {},
    "source": [
     "**For the dry season**"
@@ -11986,18 +11690,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 264,
-   "id": "expressed-october",
+   "execution_count": 55,
+   "id": "cutting-drinking",
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "300.3793282057854\n",
-      "155.92468000335055\n",
-      "1.4438662166314293\n",
-      "0.32352113041313024\n"
+      "299.185620561016\n",
+      "123.98262207709884\n",
+      "3.096244595705546\n",
+      "0.23889664081939493\n"
      ]
     }
    ],
@@ -12010,17 +11714,137 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 265,
-   "id": "stupid-porcelain",
+   "execution_count": 56,
+   "id": "hawaiian-singles",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-56-4de48804c529>:42: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12098,7 +11922,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "casual-chapter",
+   "id": "protecting-consciousness",
    "metadata": {},
    "source": [
     "**For the wet season**"
@@ -12106,13 +11930,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 266,
-   "id": "removed-providence",
+   "execution_count": 57,
+   "id": "legislative-clarity",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12184,7 +12008,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "advisory-estimate",
+   "id": "scheduled-berkeley",
    "metadata": {},
    "source": [
     "#### Graphs with relative changes instead of absolute number"
@@ -12192,7 +12016,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "flexible-joyce",
+   "id": "everyday-developer",
    "metadata": {},
    "source": [
     "**For the dry season**"
@@ -12200,13 +12024,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 267,
-   "id": "parallel-threshold",
+   "execution_count": 58,
+   "id": "grateful-effects",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-58-9f4ff63d55c3>:28: RuntimeWarning: Mean of empty slice.\n",
+      "  Benchmark_mean = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1], compute_VPD = True).mean()\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/_methods.py:189: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  ret = ret.dtype.type(ret / rcount)\n",
+      "/opt/conda/lib/python3.8/site-packages/numpy/core/fromnumeric.py:3440: RuntimeWarning: Mean of empty slice.\n",
+      "  return _methods._mean(a, axis=axis, dtype=dtype,\n",
+      "<ipython-input-58-9f4ff63d55c3>:44: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  relDev = (Data_exp[AtmoVar].sum() - Data[date_beg:date_end][AtmoVar].sum())/Data[date_beg:date_end][AtmoVar].sum()\n",
+      "<ipython-input-58-9f4ff63d55c3>:54: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n",
+      "<ipython-input-58-9f4ff63d55c3>:33: RuntimeWarning: Mean of empty slice.\n",
+      "  Benchmark_mean = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1]).mean()\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12294,7 +12136,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "reliable-updating",
+   "id": "potential-mayor",
    "metadata": {},
    "source": [
     "**For the wet period**"
@@ -12302,13 +12144,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 268,
-   "id": "valuable-clinton",
+   "execution_count": 59,
+   "id": "corporate-brunei",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12397,31 +12239,37 @@
   },
   {
    "cell_type": "markdown",
-   "id": "acting-auction",
-   "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
+   "id": "realistic-incentive",
+   "metadata": {},
    "source": [
     "**difference between wet and dry period**"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 269,
-   "id": "heavy-gospel",
+   "execution_count": 60,
+   "id": "radio-valley",
    "metadata": {
-    "collapsed": true,
     "jupyter": {
-     "outputs_hidden": true,
      "source_hidden": true
     }
    },
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-60-701a00559752>:32: RuntimeWarning: Mean of empty slice.\n",
+      "  Benchmark_mean_dry = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1], compute_VPD = True).mean()\n",
+      "<ipython-input-60-701a00559752>:66: RuntimeWarning: Mean of empty slice.\n",
+      "  MeanRes_dry = (ModelRes_dry[~np.isnan(ModelRes_dry)].mean()-Benchmark_mean_dry)/Benchmark_mean_dry\n",
+      "<ipython-input-60-701a00559752>:40: RuntimeWarning: Mean of empty slice.\n",
+      "  Benchmark_mean_dry = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1]).mean()\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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v/YonP9jBzwdPU2y2tN4ghBBCCCE6guHD4aef4I034MQJOO88mD8fUlLsPTIhhBCiQ5Bm6vZmAb4EooAxwBTgUmAwrZJGDOvsS1hnX+ZOjGR/0hk2x53i+33JfL8vGW93Z8ZEdWVCTDdiewVicpKVbYQQQgghqnFyghtuMJqsP/GE0WT9gw+MPlZ//rMxXVAIIYQQTSKJKntyBUwYyalewI/Aw7atM+VJq8mAf8ue2kkponsGEN0zgAWTB7DzWDqb407x3d5TfL4zkQBvN8ZHd2NCTDf6dvVDKcU3e06yevNB0rILCPbzYN6ESCbGdm/ZgQkhhBBCOApfX/jnP+Gmm+Cee+CvfzWmB65YARdfbO/RCSGEEA5JElX2UJqgmgc8AnSp8FwK8AXwGfAx8AZGZdUojKTVFGAoLVpt5WxyYkSfEEb0CaGwxMIvh1LYHHeKDb8m8OEvx+ge4EVosDe/xqdRbDaahqZmF7B84x4ASVYJIYQQ4twWGQmffgqffGIkrCZPNqqt/vUvCA+39+iEEEIIhyI9qtraYOBm4CjwIpWTVGBUUt0AvAOkAj8DD2H0tXoEGAF0rbBPRssOz93FxIXR3Vg0Zzhr/3Ix90yPJcjXnZ8OppQlqUoVlVhYvflgyw5ACCGEEMIRKQWXXQZ798I//gFffgkDBsAjj0Benr1HJ4QQQjgMSVS1tZ3UnKCqiQk4H3gc+BWj2upN4CLgU+CPQEiFfbYBLbhKso+HC5cO6cU/rx9V6z6p2QVorVvupEIIIYQQjszdHRYuhIMH4corjR5WUVHw3nsgMZMQQghRL0lUOZIQ4DrgLYyk1VaMKisrsAg4D6Miq3Sf9BY8tZ9Hrc/d+sr3fPjLMc4WFLfcCYUQDuP06dNcffXVREREMGzYMKZOncqhQ4da5NhZWVm89NJLdj9Ga1q0aBHPPvtsnft4e3u30WiEEC2mRw946y34/nsIDIQ5c2DCBNi9294jE0J0EBKDNY/EYO2XJKoclQkjMbUI+AUjcbUGo4fVFxjJqpAq+1iafrp5EyJxczFVeszN2YlLh/TE082Zf3+5jz8u+5pnPtrJnhOZUmUlRHvzYRd4W1XfPmxIeWfttNbMmjWL8ePHEx8fz2+//cZTTz1FSgst034uBElCiA5u7FjYvh1efhn27IEhQ+DOOyEz094jE0K0BYnBWmQ84twiiaqOIhi4FmNqYArGNMBFGN/w4xjN2DtjTBd8E6P/VSNMjO3OPdNiCfHzQGFUWN0zfSD3TB/Ic/NH89ItY5kypCdbD6dy3xtbuOXl7/hw61HO5kuVlRDtQmEtQUttjzfQ5s2bcXFxYcGCBWWPDRo0iLFjx7J06VJiYmKIiYlh+fLlZc8nJCQQFRXFLbfcQnR0NJMnT6agoIC8vDymTZvGoEGDiImJ4d133+XBBx8kPj6ewYMHc//99wNw+eWXM2zYMKKjo1m5cmWdxwRqPEZF+/fvZ9y4cQwcOJAlS5bQp0+fOt9zQkIC/fv3Z+7cufTr149rr72WTZs2MXr0aPr27cu2bdvK9q3tM3jyySfp168fY8aM4eDB8l5/a9asYeTIkQwePJjbbrsNi6X2KwyNGUdtx23sZymEaCKTCRYsgMOH4fbbjaRVv37w739DHb/nQogOQGIwicEkBms8rbVsdWzDhg3TDi9da/221vp6rXWwNt6Z0loP11o/orX+WWttbplTFRSV6M93ntB3v/ajnvz4J3rak5/qpz7coX9PSNdWq7VlTiKE0FprvW/fvvI72+/W+qsLa9/eovatttdsv7veMTz33HP6nnvuqfb49u3bdUxMjM7NzdU5OTl6wIABeseOHVprrY8dO6ZNJpPeuXOn1lrr2bNn6zfffFOvW7dO33zzzWXHyMrK0seOHdPR0dGVjp2RkaG11jo/P19HR0fr9PT0Wo9Zer6qxyhVUlKihwwZUja2BQsW6JkzZ9b5nkvPtXv3bm2xWPTQoUP1vHnztNVq1evXry97fW2fQenjeXl5Ojs7W0dEROglS5boffv26enTp+vi4mKttda33367fuONN7TWWnt5eTV5HHUdt7GfZUdQ6ffGBtiu20HM0d43jLrtg8AR4MEanncD3rU9/wsQant8JLDLtv0OzKrvXB0i/qrL779rfeGFWoPWgwdr/cMP9h6REKIRJAaTGExisMZrTAzm3KZZMWEfgcA1ts2K0dD9M9v2JLAY8AcmA5dihKGdm3Yqd1dnLhnck0sG9+Roylk+23mCr3efZHPcKXoEejF1aC8uGtgDP0/XZr8tIUT79eOPPzJr1iy8vLwAuOKKK/jhhx8YMmQIAGFhYQwePBiAYcOGkZCQwFVXXcVf//pXHnjgAaZPn87YsWM5c+ZMtWOvWLGCjz76CIDExEQOHz5Mly5dajxmfT788EMGDRpUNq4BAwYQEhJS7+vCwsKIjY0FIDo6mkmTJqGUIjY2tuy8tX0GVquVWbNm4enpCcCMGTMA+Prrr/ntt98YMWIEAAUFBfWOpSHjqOu4LflZio5NKWXCWA7mYiAJ+FUptUFrva/CbjcBZ7TWfZRSVwPPAHOAOGC41tqslOoK/K6U+lhrbW7jt9F+DBwImzcbDdbvu8+YHvjHP8I//wndu9t7dEIIByYxmMRgHYEkqs41TsAw2/YwkAl8hZG0+hzjOijAUIyk1aUYfa5GYKwu+AjQtWGnCu/sy5+mxHDTpCh+2JfMpztOsPKr/az+5iCj+3dh6tBeDOwdgFKq5d6fEOeqYcvrfv7tOn7PLvq2yaeNjo5m3bp1jX6dm5tb2W2TyURBQQH9+vVjx44dfPrppzz88MNMmjSJG264odLrvv32WzZt2sSWLVvw9PRk/PjxFBYW1nrM+uzevbssGACIi4tjypQpJCYm8vjjj+Pn58eUKVO46KKLah2/k5NT2X0nJyfM5qb921trzY033shTTz3V4Nc0ZBy1HbelP0vR4Y0EjmitjwIopdYCM4GKiaqZGI0HANYBLyillNY6v8I+7oA0sgRQymiwPn06PP00LFkC//sfPPww3HsvVPg9FEK0YxKDSQwmMViLkx5V57oAjGudrwOngB0YVVaewNPAGIz+V7uAlUAYcAeQ3PBTuLuYuHhQD5bNu4BXbh3L1KG9+PVIKn97cys3v/Qd72+JJyuvqOXekxCizUycOJGioqKyufVQHnisX7+e/Px88vLy+Oijjxg7dmydxzp16hSenp5cd9113H///ezYsQMfHx9ycnLK9snOzsbf3x9PT08OHDjA1q1b6x1j1WNUFBgYWLY6zq5du1izZg2DBg3iwIEDuLq6ctddd1ULkBpq7NixNX4G48aNY/369RQUFJCTk8PHH38MwKRJk1i3bh2pqUYTwczMTI4fP96kc1dU23Gb8lmKc1p3ILHC/STbYzXuY6uWysao60YpdZ5Sai+wB1hQUzWVUupWpdR2pdT2tLS0VngL7ZSXFyxeDPv2wcUXw8KFEB0Nn3wC2pbT27sXYmKMn0IIgcRgdZEYzPE5XKJKKTVFKXVQKXVEKfVgDc+7KaXetT3/i1Iq1Pb4xUqp35RSe2w/J7b54Ns7J2AI8H/AD0Aa8B4wy/a8BSgCXgF6AdfTqIQVQFhnX+6YEs3b917EfTMG4eflyn82HeDa5V/zjw92sCshvbTPhRCiJbnXMp+3tscbSCnFRx99xKZNm4iIiCA6OpqFCxfSrVs35s6dy8iRIznvvPO4+eaby0q7a7Nnz56yZpN///vfefjhhwkMDGT06NHExMRw//33M2XKFMxmM1FRUTz44IOMGjWq3jFWPUZF119/Pdu3byc2NpbXXnuN0NBQwsPDufjii/nzn//MnXfeycmTJ5v02QwdOrTGz2Do0KHMmTOHQYMGcemll5aVgw8YMIAnnniCyZMnM3DgQC6++GKSkxv5P9ka1HbcpnyWQjSV1voXrXU0Ro32QqWUew37rNRGB83hwcHBbT9IewsPh48+gi++ABcXuOwymDYNdu2CqVONRNa0aZCXZ++RCiEaQ2IwicEkBms05UhJAVt/hENU6I8AXFOxP4JS6g5goNZ6ga0/wiyt9Ryl1BAgRWt9SikVA3yhta63CcDw4cP19u3bW+X9OJTaKlZ9MFYV/APQo2mHTkjN4bOdJ9i0O4ncQjPdA7y4dEhPLh7Ug05eUvYuRG32799PVFSUvYfh0HJzc/H29gZgyZIlZGdn88QTT/DAAw9gsVgoLCxk2bJluLi42HmkoqXU9HujlPpNaz3cTkNyCEqp84FFWutLbPcXAmitn6qwzxe2fbYopZyB00CwrhJsKqW+Af6mta41wDrn46+SEnj+eVi0CHJzwcnJWB3Q3R1mzoS1a+09QiHOaRKDNZ/EYOeexsRgjtajqjn9EXZW2Gcv4KGUctNay5yzxnLFqL4aBOQC99q2McBVGEmrBvaxAggN8eH2S6KZP7E/P+w3eln95+sDvL75IBfYelkNCg3ESXpZCSFa2LJly1i7di0uLi6MHj2apUuXAvDMM8/YeWRCtDu/An2VUmHASeBq4I9V9tkA3AhswYgGvtFaa9trEm3N1HsD/YGENhu5I3Jxgb/8xehj9be/QWnflcJC+PhjWLUK5s+37xiFEKIZJAYTdXG0iqo/AFO01jfb7l8PnKe1vrPCPnG2fZJs9+Nt+6RXOc4CrXWNk16VUrcCtwL06tVrWEvMT3V4CiNBZQLmYTRV72J77iDwPsY0wT22fcdh9L66giatIHg8LYfPdiby1e9J5BaW0C3Ak0uH9GKyVFkJUUau5gnReFJR1XRKqanAcoxoYJXW+kml1OMYS0tvsE3nexOjkUAmcLXW+qgtXnsQKMFYf/hxrfX6us51zldUlercGWy9TSrx94fMzLYfjxACkBhMiKZoTAzmcD2qmkspFY2xXPJtte1zzvdIqMlg4GbgKMbi1F0qPBeJsYLgboxatceAVIym692ASRiN2NNpsN7BPiyYPIB37p3EA5cPJtDbnde+NnpZPbFuBzuOpmN1oCSrEEII4ei01p9qrftprSO01k/aHntUa73BdrtQaz1ba91Haz2ytAJea/2m1jpaaz1Yaz20viSVqOCpp4xm61WdOQM331xzEksIIYRwcI429e8k0LPC/R62x2raJ8nWH8EPyABQSvUAPgJu0FrHt/5wO5Cd9e8CwACMRNWjGEmrd23bbRiJq0kY0wNnYaw4WA9XZxMTY7szMbY7J0qrrHYn8cP+ZLr6e5b1sgrwrtaTVQghhBDCsc2fbzRX37DBmPbn7m40Vg8Lg+eeg3XrjD5Wf/qTMV1QCCGE6AAcraKqrD+CUsoVoz/Chir7lPZHgMr9EToBG4EHtdY/tdWAz1kKiAEWY0wN3AX8DTiCUZnVGZgKvA5kNeyQvYJ9uG3yAN6+x6iyCvZ1Z9U3B7nuuW9Y/P5v/HY0TaqshBBCCNGxrFoFISFGv6rOneG//4Vnn4U9e2DUKLj3Xhg0CDZtsvdIhRBCiBbhUIkqrbUZuBP4AtgPvKe13quUelwpNcO222tAoFLqCPAXjJ4I2F7XB3hUKbXLtoW08Vs4NymMxuv/wEhUbcf4ZvZj9LsKAS4D1gBn6z9caZXVkhvO59XbL+TykaHsPp7B/721jXkvbGbtj0fIzC1spTcjhBBCCNGGvLzg009hwADYuLF8KmD//vDZZ0a1VVERXHwxXHEFHDtm3/EKIYQQzeRQzdTtQZp5tiKNUSP3nm1LBNyASzGmB04HfBp2qGKzhZ8OnObTHSfYfTwTk5NiVL/OTB3ai6z8It7YfIi07AKC/TyYNyGSibHdW+UtCdGWpJGnEI0nzdQdg8RfjVRYCMuWwRNPgMVirBT44IPg6WnvkQnRIUkMJkTjNSYGc7QeVaIjUcBI2/ZP4BeMflbvA+sBd2AaRtJqGlBDL9FSrs4mJsR0Z0JMdxLTc/l8l7Fi4E8HTlfaLzW7gOUb9wBIskoIIYQQHYO7OyxcCNdfDw88AIsXw+uvG1MEZ882pg0KIYQQDsKhpv6JDswJOB9j0etE4AeMXlY/AXMwpgfOAT4ECuo+VM8gb265KIo1d0/E16N6Y9GiEgurNx9swcELIYQQQrQDPXrAW2/B999DYCDMmQMTJsDu3fYemRBCCNFgkqgS7Y8TMAZ4HkgCNmO0x98MXImRtPoj8D+gjlZUrs4mcgpKanwuNbuAX4+kIlNfhRBCCNHhjB0L27fDK69AXBwMGQJ33gmZmfYemRBCCFEvSVSJ9s0EjAdeAk4BmzCSVF8Cl2OsHngD8AlQVP3lwX4eNR7WScHD7/zKra98z+c7T1BstrT82IU4RyiluO6668rum81mgoODmT59eoOPsWjRIp599tmy+xdccAEAK1asICoqimuvvbbS4009bmtr7Pjas4Z+dt7e3m0wGiFEo5lMcNttcOgQ3HEHvPwy9O1rJK8sEvcI0RFIDFZOYrCORRJVwnE4A5OAfwPJGGs/zsZIUl2GkbSaB3wG2AqpXnppDHdvjCUgx63sMG4uJu69bCD3zRiEyUmx7JM9XL/iG9Z8f5isvBqyXUJ0BEOAOzB+d1qYl5cXcXFxFBQY83K/+uorundvXg+4n3/+GYCXXnqJr776irfeeqvS4/aitcZqtdb6vL3HJ4QQ1QQEwPPPw86dMHAg3H47DBsGP/xg75EJcW6QGKxFSAx2bpFElXBMLsBk4D/AaeBTjAqrj4CpQBfgZvA56MolO3ryxvIJ3PlxNH3x455psUwe1JOLB/Xg5VvH8vR159Gvqx9vfneI61d8w3Mb93AiPdde70yI1rELeA0Ip1WCpalTp7Jx40YA3nnnHa655pqy55YuXUpMTAwxMTEsX7687PEnn3ySfv36MWbMGA4erNw3ztvbmwULFnD06FEuvfRSli1bVvZ4qTVr1jBy5EgGDx7MbbfdhsVWIVDXcQEefPBBXnzxxbL7Fa9aXX755QwbNozo6GhWrlwJQEJCApGRkdxwww3ExMSQmJjIo48+Wum9PPTQQzz33HNl40tISCAqKopbbrmF6OhoJk+eXBZEAixevJjIyEjGjBnDNddcU+NVs/379zNu3DgGDhzIkiVL6NOnTx3fAGXn7d+/P3PnzqVfv35ce+21bNq0idGjR9O3b1+2bdvW5O+kts+7OeOo67i1fRd1fa5CiDoMHAjffAPvvWdMARw3Dv74R0hKsvfIhOjYdiExmI3EYBKDNZjWWrY6tmHDhmnhQAq11hu01tdprX105W/TRWvtrrW+XWt9qvpLE1LP6mUf/66nPfmpnvz4J/rhd7bpncfStNVqbavRC9Eo+/btK79zt9b6wjq2ir8LSmvtpLXuqrUeVcdr7m7YOLy8vPTvv/+ur7zySl1QUKAHDRqkN2/erKdNm6a3b9+uY2JidG5urs7JydEDBgzQO3bsKHs8Ly9PZ2dn64iICL1kyZJKx9Ra6969e+u0tLRqj+/bt09Pnz5dFxcXa621vv322/Ubb7xR73G11nrHjh163LhxZfejoqL0iRMntNZaZ2RkaK21zs/P19HR0To9PV0fO3ZMK6X0li1byl5z7NgxPWTIEK211haLRYeHh+v09PSy8R07dkybTCa9c+dOrbXWs2fP1m+++abWWutt27bpQYMG6YKCAn327Fndp0+famMsKSnRQ4YM0Tt27NBaa71gwQI9c+bMer+L0vPu3r1bWywWPXToUD1v3jxttVr1+vXr9cyZM5v0ndT2eVf8Tho7jvqOW9t3Udvn2lCVfm9sgO26HcQcskn81Wby8rR+7DGt3d219vTU+skntS4osPeohHAYEoNJDFaVxGD1a0wM5tx6KTAh7MANYxrgZRiN1iu2qCqxba8AO4EtlV/aO9iHe6YPZO6ESD7ZfpwN24/zwJu/0KeLL1ecF8a46G64mKQIUXQA2rYlA/nA4OYfcuDAgSQkJPDOO+8wderUssd//PFHZs2ahZeXFwBXXHEFP/zwA1arlVmzZuHp6QnAjBkzGnW+r7/+mt9++40RI0YAUFBQQEhICJmZmfUed8iQIaSmpnLq1CnS0tLw9/enZ8+egNGP4aOPPgIgMTGRw4cP06VLF3r37s2oUaPKjhEaGkpgYCA7d+4kJSWFIUOGEBgYWOk8YWFhDB48GIBhw4aRkJAAwE8//cTMmTNxd3fH3d2dyy67rNoYP/zwQwYNGsSQIUMAGDBgACEhIQ36bMLCwoiNjQUgOjqaSZMmoZQiNjaWhISEJn0ntX3ezRlHfcet7buo7XMVQjSCpycsWgRz58J998FDD8Frr8GyZXDZZaCUvUcoRMckMZjEYBKDNYgkqkTH5V7lvjNgtW2/An8AbgEuptIk2E5eblx3YT9mXxDBN3En+XDrMf75v99Z9c1BZowIZerQXvh4uLTNexCioZbX83zFf3O4YixUMA94BGOqbAuYMWMG9913H99++y0ZGRktc9BaaK258cYbeeqppyo9XrGEui6zZ89m3bp1nD59mjlz5gDw7bffsmnTJrZs2YKnpyfjx4+nsNBYWrQ0oKjo5ptv5vXXX+f06dPMnz+/2vNubuW98UwmU6PKo3fv3l0WCADExcUxZcoUEhMTefzxx/Hz82PKlClcdNFFdZ7Xycmp7L6TkxNms7nBY6iots+7Lg0ZR23Hreu7aM7nKoSoIjQU1q2Dr7+Gu+6CmTPhkktg+XLo39/eoxPCMSyv53mJwSqRGKxxztUYTMpDRMfnilFZdStwEtgP3AN8B0zBmC++GKjSosHNxcSlQ3rx7wXjWHz1CHoEebHqmwNc99zXvPT5XpLP5LfhmxCiBZT+LtwMHAVepMUCJID58+fz2GOPlV3BARg7dizr168nPz+fvLw8PvroI8aOHcu4ceNYv349BQUF5OTk8PHHHzfqXJMmTWLdunWkpqYCkJmZyfHjxxt83Dlz5rB27VrWrVvH7NmzAcjOzsbf3x9PT08OHDjA1q1b6xzDrFmz+Pzzz/n111+55JJLGjz20aNH8/HHH1NYWEhubi6ffPJJtX0CAwM5dOgQALt27WLNmjUMGjSIAwcO4Orqyl133VVjgNQQTflOavu8m6u24zb2uxBCNNOkSbBrFzz3HGzdCrGx8Ne/Qna2vUcmRMcgMVgZicEkBmsIqagSHdtg4AIqX7HoAjwLPAn8D3gVeBRYBFyKUWU1jbLfDielGNk3hJF9Q4g/nc2Hvxxj42/H+Xh7AudHduHKUWFE9wxou/ckRFMMpvrvQgvr0aMHd911V6XHhg4dyty5cxk5ciRgXAErLaWeM2cOgwYNIiQkpKzsuKEGDBjAE088weTJk7Farbi4uPDiiy8yatSoBh03OjqanJwcunfvTteuXQGYMmUKr7zyClFRUURGRlYqM6+Jq6srEyZMoFOnTphMpgaPfcSIEcyYMYOBAwfSuXNnYmNj8fPzq7TP9ddfz7Rp04iNjWX8+PGEhoYSHh5OeHg4PXv25M477+Tll19u0so+TflOavu8e/fu3ejzV1TbcRv7XQghWoCLi1FVdc01xlTAZctgzRp4+mm48UZwkuvbQjTJYCQGq0BiMInBGkIZ/atEbYYPH663b99u72GI1nYMYzWOVRhzxrtilOTehFFxVUX62UI2/JrAxh3HyS00E9W9E1eMCmd0/86YJJATbWT//v1ERUXZexjnLKvVytChQ3n//ffp27dvo16bm5uLt7c3+fn5jBs3jpUrVzJ06NBqzwMsWbKE7OxsnnjiCR544AEsFguFhYUsW7YMFxeZhtxYNf3eKKV+01oPt9OQRA0k/moHfvsN/vxn2LIFRoyA55+H886z96iEaBckBrMvicEcU2NisCZXVCmlrmjCyz7TWkszCdH+hAFPYFRVfYpRZfU08A9gEkaV1eUYzdqBIF935k/qzzVj+/Dl70l89MsxnvxgB507eXD5yDCmDO6Jp5sULArRUe3bt4/p06cza9asRgdIALfeeiv79u2jsLCQG2+8sVKABLBs2TLWrl2Li4sLo0ePZunSpQA888wzLTJ+4dgkBhNtYtgw+OkneOst+NvfYNQoo/n6U09Bl1YqCxFCiHpIDHZuaHJFlVLK2siXaKCv1vpok05oJ3JF7xyWBLwO/Ac4DgQCN2AkrapcQLFYNVsPpfDB1qPsTTyDp5szU4f2YuaIUEL8PBCiNcjVPCEaryNUVJ0LMZjEX+1MTg48+SQsXQru7vDYY0a1laurvUcmhF1IDCZE4zUmBmvuHKUuWmunhmwYC3AK4Th6AA9jNDz8ApgAPA8MAMYAb1D2X7XJSTG6fxeWzr2A5+aPZnhEMB9uPcqNz2/mqQ93cjhZmpEKIYRoURKDibbj42P0qtq7F8aNg/vug4ED4fPP7T0yIYQQHVBzElVvAI0pIV8DnG3G+YSwDydgMvA+xqqB/wTSgLlAN+BPwM7y3ft378RDVw5l9Z0TuHxkKNsOp3Lnf37kvje2sOVgClbpCyeEEKJ5JAYT9tG3L3zyCWzcCFYrXHopzJwJ8fH2HpkQQogOpMmJKq31PK11TiP2v11rnd7U8wnRLoQA9wMHgG+ByzCasA8FhgP/puyfAl06eXLb5AGsuXsit1wUxemsfBa9t52bX/qOj7cfp7DEYo93IIQQwsFJDCbsbupUiIuDf/4TvvkGBgwwVgrMzbX3yIQQQnQALb48mVJqtFLKraWPK0S7ooALgTcxVglcARQDCzBWDLwJ2Apo8HJ34Q/nh/P6nRNYOGsIXm7OvPBZHNc99zWvbz5IZm6hvd6FEEKIDkRiMNGmXF3h/vvh0CG4+mr4xz8gMhLefhsqVo/v3QsxMcZPIYQQogFaPFEFfAZ0b4XjCtE++QN/Bn7HSE79EXgXOB8YCDwHZIKzyYnxMd1YcdNonr3xfGJ6BrD2xyPcsGIzz274nWMpMitDCCFEs0gMJtpe167wxhvw88/G7WuvNfpY7dwJeXlG9dW+fTBtmnFfCCGEqIdzKxxTtcIxhWj/FHCebVsKrAVeBe4BHgCuBG4BdaEitlcAsb0COJmRx0fbjvHlrkS++j2JoeFBXDkqnGHhQWyOO8XqzQdJyy4g2M+DeRMimRgr//4QQghRK4nBhP2cfz5s2warV8PChTBsGISFQUqKUWGVkgI33QRr19p7pEIIIdq51qioEkL4ALcA24BdwM3ARoyVA/sBzwAp0D3QizsvjWHN3ZOYOyGShNQcHnp7G9c+9zX/+vh3UrML0EBqdgHLN+7hmz0n7fSGhBBCCCHq4eRkJKMOHYKLLoKjR6GoyHiusBA+/hhWrbLvGIUQQrR7rZGoug1IaYXjCuGYBgEvYPSy+i9GD6sHgR4YVVafg6+bK9eM6cMbf57AfTMGkZVXjNlSeXXAohILqzcfbOPBCyGEcCASg4n2oVMn+P336o/n5xvVVkIIIUQdWjxRpbV+W2stE9CFqMoDuB74HtgP3G27fSkQDvwdXJNNXDyoB1arrvEQadmNWY1ciLahlOK6664ru282mwkODmb69OkNPsaiRYt49tlny+5fcMEFAKxYsYKoqCiuvfbaSo839bhtISsri5deeslur29tDf1Mvb2922A0oiKJwUS78tRT4OVV/fFeveD48bYfjxAdkMRglUkMZugIMViTE1VKqZFKKVMj9h+mlHJp6vmE6FD6A88CSRiN1/sBi4BQYBr8d/lE/rwhhoCc6os3vfndIXILS9purKJDSs5J5o6NdzDk30OafSwvLy/i4uIoKDASqV999RXduzevn9rPP/8MwEsvvcRXX33FW2+9Venx9qyjB0nC/iQGEw5h/nyjgbq7u3Hf3d1Y/W/fPujfHxYtMiqshDjHSAzWeiQG6ziaU1G1BQhoxP6bgZ7NOJ8QHY8bcBXwFXAUWAjshJBMD6Zt78Wb/5rI394fRECOGy4mJ/p08WXN94e5fsU3vPHtQc4WFNt1+MLxlAZH4SvCeW3na+w6vatFjjt16lQ2btwIwDvvvMM111xT9tzSpUuJiYkhJiaG5cuXlz3+5JNP0q9fP8aMGcPBg5WntXp7e7NgwQKOHj3KpZdeyrJly8oeL7VmzRpGjhzJ4MGDue2227BYLPUet9R///tfBg4cyKBBg7j++uvrHGtCQgJRUVHccsstREdHM3nyZAoKCsjLy2PatGkMGjSImJgY3n33XQAefPBB4uPjGTx4MPfffz+XX345w4YNIzo6mpUrV5adq7bjVn19Vfv372fcuHEMHDiQJUuW0KdPnzq/m4SEBPr378/cuXPp168f1157LZs2bWL06NH07duXbdu2Neu7qu17aO5YajtuTZ9nbZ9lB2aXGEwpNUUpdVApdUQp9WANz7sppd61Pf+LUirU9vjFSqnflFJ7bD8nNncswkGsWgUhIaAUdO4MW7fCgQNw+eXw979DVBS8/77RbF2IDk5iMIPEYBKDNYjWukkbYAX+A6xo4FYIhDf1fPbahg0bpoVoUyW60n+FVqzaoqw6ZWKe1qe0PpKcpf/+3nY9+fFP9OVPf65Xf3NAZ+cX2XnQwh727dtXdvvuz+7WF66+sNZt1KujdNdnu2qnvztptUhpFlG21faauz+7u0Hj8PLy0r///ru+8sordUFBgR40aJDevHmznjZtmt6+fbuOiYnRubm5OicnRw8YMEDv2LGj7PG8vDydnZ2tIyIi9JIlSyodU2ute/furdPS0qo9vm/fPj19+nRdXFystdb69ttv12+88Ua9x9Va67i4ON23b9+y42ZkZGitda1jPXbsmDaZTHrnzp1aa61nz56t33zzTb1u3Tp98803lx03KytLa631sWPHdHR0dNnjpcfPz8/X0dHROj09vWy/mo5b9fUVlZSU6CFDhugdO3ZorbVesGCBnjlzZp3fT+l5du/erS0Wix46dKieN2+etlqtev369WWvb8p3Vdv3UPG7aspY6jpuTZ9nbZ9lTSr+3pQCtut2EHM0dLNHDAaYgHiMyequwO/AgCr73AG8Yrt9NfCu7fYQoJvtdgxwsr7zSfzVgcTFaR0dbfys6LvvtB40SGvQevx4rXfvtsvwhGgKicEkBpMYrHVjMOdm5Li+ByIasf8WoENf3hSiRVT5rVQolIaQbzyhP0S84cejVwzjaPpZ3v7hMO/8eIT/bUtgxojeXDkqHF9PV/uMW7Rr+9P3k12U3WrHHzhwIAkJCbzzzjtMnTq17PEff/yRWbNm4WXrU3LFFVfwww8/YLVamTVrFp6engDMmDGjUef7+uuv+e233xgxYgQABQUFhISEkJmZWe9xv/nmG2bPnk1QUBAAAQEBdY51xowZhIWFMXjwYACGDRtGQkICV111FX/961954IEHmD59OmPHjq1xrCtWrOCjjz4CIDExkcOHDxMYGAhQ43HHjBlT6/v+8MMPGTRoEEOGGNMFBgwYQEhISL2fV1hYGLGxsQBER0czadIklFLExsaSkJBQ5/uv67uq7Xto7ljqOm5Nn2eXLl1q/Cw7MHvEYCOBI1rrowBKqbXATGBfhX1mYkxkB1gHvKCUUlrrnRX22Qt4KKXctNZFzRyTcATR0RAXV/3xcePgt9/g1Vfh4Ydh8GC4/XZ4/HEIaEzBoBDtm8Rg5SQGkxisoZqcqNJaj2/22YUQ9XPFmKQ7DDgOzAL6QvhffHn4xmEcG3uWt344wrs/xfO/XxOYMTyUK88Px08SVueU5VOW1/n86dzTLP5uMat3rcaiLRRbyqeNfjv32xYZw4wZM7jvvvv49ttvycjIaJFj1kZrzY033shTTz1V6fGKpdItyc2tvF+cyWSioKCAfv36sWPHDj799FMefvhhJk2axKOPPlrpdd9++y2bNm1iy5YteHp6Mn78eAoLC+s8bl12795dFggAxMXFMWXKFBITE3n88cfx8/NjypQpXHTRRbWO38nJqey+k5MTZrO54R9EFbV9D3VpyFhqO25dn2djP0tHZqcYrDuQWOF+EnBebftorc1KqWwgEEivsM+VwI6aklRKqVuBWwF69erVciMX7ZfJBAsWwFVXwWOPwUsvwTvvwBNPwK23Gs8L0c5JDGaQGExiMGi5GKzFV/0TQrQQV4yVAm8GjgE/2n6+C/gBtwO9IOxlXx6+cCiv3DaOkX1CeO/neG5Y8Q3/2bSfrDy5WC0MXby78OK0Fzl691FuHnIzHs4euJpaNpk5f/58HnvssbIrNQBjx45l/fr15Ofnk5eXx0cffcTYsWMZN24c69evp6CggJycHD7++ONGnWvSpEmsW7eO1NRUADIzMzl+/HiDjjtx4kTef//9skAuMzOzzrHW5tSpU3h6enLddddx//33s2PHDgB8fHzIyckBIDs7G39/fzw9PTlw4ABbt26t971VfH1VgYGBHDp0CIBdu3axZs0aBg0axIEDB3B1deWuu+6qFiA1VFO+q9q+h+aq7bhN+TxF+6GUigaeAW6r6Xmt9Uqt9XCt9fDg4OC2HZywr4AAeP552LULBg2CO+6AYcPg++/tPTIhmk1isHISg9VMYrDqmjP1zy6UUlOA5zB6JfxHa/10lefdgP9i1J9kAHO01glKqUCMMvQRwOta6zvbduRCNMJg4ALgEaBLhcedMZqvzwZ+wFg58O/AMxB6ow//95ehXDsuh7d/OMK6LUfZsP04lw3vzezzw+nkVX0FQXHuKQ2WHrnwERZ/t5ifk1puBZcePXpw1113VXps6NChzJ07l5EjRwJw8803l5VMz5kzh0GDBhESElJWXtxQAwYM4IknnmDy5MlYrVZcXFx48cUXGTVqVL3HjY6O5qGHHuLCCy/EZDIxZMgQXn/99VrHWlv58p49e7j//vtxcnLCxcWFl19+GTACmdGjRxMTE8PFF1+M2WwmKiqKyMhIRo0aVe97q/j6Sy+9lCVLlpQ9d/311zNt2jRiY2MZP348oaGhhIeHEx4eTs+ePbnzzjt5+eWXm7TiT1O+q9q+h969ezf6/BXVdtwpU6bwyiuvNOrzFC3mJJUbsvewPVbTPklKKWeMyyoZAEqpHsBHwA1a6/jWH65wSLGx8PXX8MEH8Ne/woUXwpw5sGQJ9JQ1mYRjkxhMYrDaSAxWnTL6VzkG21LMh4CLMUrOfwWu0Vrvq7DPHcBArfUCpdTVwCyt9RyllBdGM88YIKahiarhw4fr7du3t/RbEaLlHACWYqRnizE6hNwHJ/rl8s6Ph/l27ylcnE1MH9aL2edH4O8tCauOYv/+/URFRdl7GKIN5ebmlq26s2TJErKzs3niiSd44IEHsFgsFBYWsmzZMlxcXOw80varpt8bpdRvWuvhdhqSQ7Alng4BkzASUr8Cf9Ra762wz5+A2Aox2BVa66uUUp2A74C/a60/bMj5JP4S5OcbCaqnnzZWDVy4EO67Dzw87D0yISQGOwdJDNZ8jYnBHC1RdT6wSGt9ie3+QgCt9VMV9vnCts8WW1B1Ggi2dZRHKTUXGC6JKtHhpAAv2rZMYBRwHySOyeWdLUfYHHcSF5MT04b1ZvYF4QR4u9t1uKL5JEg69yxevJi1a9fi4uLC6NGjWbp0aaW+AKJ+kqhqOqXUVGA5RlX7Kq31k0qpxzFW7NmglHIH3sS4MJgJXK21PqqUehhYCByucLjJWuvU2s4l8Zcoc/w43H8/vP8+hIbCv/4Fs2YZySsh7ERisHOPxGDNZ/dElVLKBRiPsRzyPq11i3R0U0r9AZiitb7Zdv964LyKSSelVJxtnyTb/XjbPum2+3OpJ1FVpZnnsJaY6ylEm8kD3sCosipdSPwvcPKyXN7eeYRv9pzE2eTE1KG9uOqCCAJ9JGHlqCRIEqLxOnqiqrVisLYmiSpRzebNcNddxgqCkybBc88ZKwoKYQcSgwnReI2JwVqrmfqHGF10PgK2KqVOKqU+b6VztThp5ikcmhdwB3AQ+AAIAe6E7kO8uX/7YFb9YTwXRndjw6/HufH5zbz0+V7SzxbWeUghhBAOw6FjMCFqNWEC7NwJL7wAO3YYTdfvvhvOnLH3yIQQQrSw1kpU9dJa3wokaa37Av8AdrfAcRvTyLO0n0JZI08hzikm4ApgC8aKgeOAJ6HrYC/u+3gQb0waz8TYbny8/ThzX9jMi5/HkXa24y7nLoQQ54jWisGEsD9nZ/jTn+DQIbj1ViNp1a8frFwJFou9RyeEEKKFtFaiqrQ8o1gp5aq1fhEY0wLH/RXoq5QKU0q5AlcDG6rsswG40Xb7D8A32pEacQnRGkZjXFs/AMwD1kDIBZ78ZeUg1gyeyKSY7mz87QTzXviWFz6LIzVbElZCCOGgWisGE6L9CAqCl16C336DqCi47TYYMQJ++sneIxNCCNECWitRtUIpFYAx8egVpdRNQFBzD6q1NgN3Al8A+4H3tNZ7lVKPK6Vm2HZ7DQhUSh0B/gI8WPp6pVQCRueeuUqpJKXUgOaOSQiH0g94GTgBLAK2QuBl7tz7xEDe7jaJi6O78+mOE8x/8VtWfLpHElZCCOF4WiUGE6JdGjwYvvsO1q6FtDQYMwauvRZOVp1wIYQQwpG0SqJKa/2W1jpTa/0M8D3QH6O6qSWO/anWup/WOkJr/aTtsUe11htstwu11rO11n201iO11kcrvDZUax2gtfbWWvfQWu9riTEJ4XCCgccwElavAFnQab4bd98zkLXOFzG1Xy++2JnIvBc289zGPaRk5dt1uEIIIRqmNWMwIdolpWDOHDhwAB5+GD74ACIj4R//gELpwSmEEI6oWYkqpdQnSinvuvbRWr+utb5fay39EYRobzyA2zCmBK4HeoDvg67ccUs072VezBW9w/jq9yTmv/gtyz/ZzWlJWAkhRLsgMZgQVXh5weLFsH8/TJ4MDz1krAq4YQNIFxAhhHAoza2ouhTwLL2jlHpXKRVY4b5JKeXbzHMIIVqbEzAT+AGj+fpF4LXchZtuiuL9fRdzbWBfNu0+yfwXv2XZx7tJPiMJK4e1dy/ExBg/W4DJZGLw4MHExMQwe/ZsTp48yeDBgxk8eDBdunShe/fuZfeLi4tb5Jw1GT9+PPUtZd+QfYRwIBKDCVGTsDD48EP46itwd4eZM2HKFCOBJYQ9SQzWamMQHU9zE1Wqyv2pGKvslQoCMpt5DiFEWxoFvA8cAm4Fj4+c+ePtffng28ncaoria1vC6l8bfudUZp6dBysaJS8Ppk6Ffftg2jTjfjN5eHiwa9cu4uLicHV15d1332XXrl3s2rWLBQsWcO+995bdd3V1bYE3IYSwkRhMiLpcdBHs2gXLl8Mvv8DAgfCXv0B2tr1HJs5FEoMJ0Sit1Uy9rc8hhGhpEcDzGH2sFoPb7yYuXxjG+nWX8JfcWL7/PZmbXvqOZzf8zklJWDmG+fMhNdWYApGSAjfd1KKHHzt2LEeOHGnw/t7e3tx///1ER0dz0UUXsW3bNsaPH094eDgbNhgLuhYWFjJv3jxiY2MZMmQImzdvBqCgoICrr76aqKgoZs2aRUFBeeP/L7/8kvPPP5+hQ4cye/ZscnNz6xxHaGgoCxcuZPDgwQwfPpwdO3ZwySWXEBERwSuvvFK235IlSxgxYgQDBw7kscceK3v88ssvZ9iwYURHR7Ny5cpK7++hhx5i0KBBjBo1ipSUlAZ/NkK0EInBxLnNxQXuvhsOH4Z584ykVb9+sGoVWK32Hp04l0gMViOJwURtnNvgHDIpvA7JOcks/n4xW5K2sPO2nfYejhDVBQIPA/cBa8D5X05c/ExPJvbswS9TU1hu3s3Xu08yMbYbfxzTl4Onsli9+SBp2QUE+3kwb0IkE2O72/lNnAPuuce4clyb5GQ4cqQ8MC8shPffh507oWvXml8zeLAR1DeA2Wzms88+Y8qUKQ0ecl5eHhMnTmTJkiXMmjWLhx9+mK+++op9+/Zx4403MmPGDF588UWUUuzZs4cDBw4wefJkDh06xMsvv4ynpyf79+9n9+7dDB06FID09HSeeOIJNm3ahJeXF8888wxLly7l0UcfrXMsvXr1YteuXdx7773MnTuXn376icLCQmJiYliwYAFffvklhw8fZtu2bWitmTFjBt9//z3jxo1j1apVBAQEUFBQwIgRI7jyyisJDAwkLy+PUaNG8eSTT/K3v/2NV199lYcffrjBn48QLUBiMCEAgoNh5Uq47Ta46y4jSfDyy7BiBZx/vr1HJxydxGCAxGCiZbVEomqeUuo7YJftvgRFdfmwCxSmkGyGxRmwOgesGlpv1rAQLcQduBmYD3wKpmcVF/y7C6P8OrN7cgbLc3dTsMBMfk8z5vFWtA+kZhewfOMeAElW2duxY9WvHlutxuO1BUkNUFBQwODBgwHjat5NjbhC6OrqWhZUxcbG4ubmhouLC7GxsSQkJADw448/8uc//xmA/v3707t3bw4dOsT333/PXXfdBcDAgQMZOHAgAFu3bmXfvn2MHj0agOLiYs5vwD9CZsyYUTaO3NxcfHx88PHxwc3NjaysLL788ku+/PJLhgwZAkBubi6HDx9m3LhxrFixgo8++giAxMREDh8+TGBgIK6urkyfPh2AYcOG8dVXXzX4sxGigSQGE6Ixhg2DH3+Et9+Gv/0NLrgAbrgBnn66WX8LhaiTxGB1khhM1KS5iarNwAPAU4DZdrxnlFI/ATuA1GYev8NJzk1hcQa8cta4XzGifGX7K3T26kyIVwidvY2fPq4+KFW1DYUQduQETLdtv4LTvxSD3w9itdMElFnRO9WHi3f24Mshibw9/giZPkWs3nxQElWtrb6rbqtWGVeRK/ZE8PSEF14wpkM0UWl/hKZwcXEp+/+bk5MTbm5uZbfNZnOTjqm15uKLL+add95p1Osqnrv0dsWxaK1ZuHAht912W6XXffvtt2zatIktW7bg6enJ+PHjKbQth17x/ZlMpia/JyFqITGYEE2hFFx7rdFk/R//gH/9y2i+/sgjxjTB0r8Be/fCnDnw7rvG6oFC1EZiMEBiMNGymtW7QGs9SWsdAPQBrgX+CXQCHgG+A2R5jSquToZ/nzUSVFUve96+8XaueO8KxqweQ9/n++L3tB+eT7rTe2lXRv57MNPfmspN/7uJhZsWsnzrct7e8zZfH/2aPSl7SM1LxWK12OMtiXPZCGAtEA/qT8YfAxerE25mE5f+1ovXl03gzo+jsSRJHwi7mz/faN7p7m7cd3eHyy5rVoDUFsaOHctbb70FwKFDhzhx4gSRkZGMGzeOt99+G4C4uDh2794NwKhRo/jpp5/K+jTk5eVx6NChZo/jkksuYdWqVWW9Fk6ePElqairZ2dn4+/vj6enJgQMH2Lp1a7PPJURDSAwmRDN5exuJqr17YcIEeOABY0W2jRtbpfG1OIdJDNYsEoOdm1qkR5XW+ihwFGOtMACUUqHAcGBoS5yjo3i3KyzOhNVnwVJlyl/SiNGk5p0iJTeN1KJcUiyQai4mxXKa1LOnOXnmd3ZaFKkWjbmG4n4n5USQeyejIsunG529uxDiWV6dVbVay93ZvcnvQ3priUpCgeXAc+UPOVudcLbCtF970zvVh3dnxnP5yFDcXEz2GaMwrugNGACJidC5M7z2mr1HVK877riD22+/ndjYWJydnXn99ddxc3Pj9ttvZ968eURFRREVFcWwYcMACA4O5vXXX+eaa66hqKgIgCeeeIJ+/fo1axyTJ09m//79ZSXs3t7erFmzhilTpvDKK68QFRVFZGQko0aNat4bFqKRJAYTopn69IENG+Dzz41eQ9OnG9OxMjMrN75eu9beIxWOTGKwJpMY7NyktJZ2BnUZPny43r59e8sd8G2j6uS0uXrCSj9W4buwFEFhKhSehsIUKDht3C44jbUgmazcJFJyk0nNSyO1uNBIalkgxWz7aYFUq4kUsya3llVNfF29bYmrrjUmsire99sYiSpKrbG3VqVxi3NbhVmqZmXFpBUKxaG+Wbwwfi8Z0YXcOL4fk2J7YHKSKa3NtX//fqKiohr3IpnKIM5xNf3eKKV+01oPt9OQRA1aPP4SoiGKi+H66+G99yo/7ukJzz9vVMYIgcRgQjRFY2Kwtlj1T9SgizO8GAKPBBgJq58Lq+xgcgOvnsZWhRMQYNuiAEpyjWSWLZFV9Wd+3ilS85JJzUslpcRSnsiy5JJSkktqxjEOpTnzo1mTbjbX2InVBXBVkG97suI+6w+sp5tPN7p6d6WLdxdcTC7N/4CEw7K4aMxY+XJwIl9POcWfCgfQ7/VOrHh1NHsGZfDSob18OPAYN03qz/CIYOnB1taioyEuzt6jEEIIIdofV1f49tvqj+fnw8KFkqgSzSMxmBANJomqtube2UgqJQEroMtd8GIP2+NN5eJtbD4RNT7tiTEzK1RrKD5Tc0LLVrVlLkgmIzeZlPz0ShVay85AYi0tsGa9O6vS/WDPILraElelCayuPpVvd/XuipuzW80HFI5rMJguUJgeMXFZl1AuI9R4/FHgeYj5ZwAv/z6OX4ak8O+9+1k38ig3T4qib1c/Ow5aCCGEEMLmqaeqN74G8PKCbdtg5Ej7jEsIIc4hkqhqa1ecNv7wDRgApxLhpV5GGaiXV+ufWylwCzA2vwE17uIMdAY6W81QlFaWyLpm09Rae2v91hNOmSHZAslmOGVOJzkvi+ScQ8Qlak6XFGOpYYppgEdA9SRWaXLLlszq6tMVTxfPVvk4RCuorV2ZN7AQ1O0KlsLIZSGM/D2E739O5snfdtB/XCfmjo+ki798142ltZaqNCEaSNodCCHqNX8+fPGF0beqsNBofD1wIJw4AeedZzTA/sc/oEsXe49U2JnEYEI0XGNjMOlRVY9W6ZEwZ07lP34zZ7b/Bo119dZaeAYKThlb/ikoTDZ+2h6z5p8kPTeZUyXFJJttySxbUivZ6kKy1ZlTZk1ycTEluno/LT83vzqTWaW3vV29q4/7wy5GtZhNaY+tLcXO7HygpLU+LVGfdOCfoF/Q6GL4cmgia8fHc/5FnblmTB98PV3tPUKHcOzYMXx8fAgMDJRASYh6aK3JyMggJyeHsLCwSs9Jj6r2R3pUCbsqvaicmAi9bBeVLRZ48klYtsyI3x991Ki8cpWY5VwkMZgQDdeUGEwSVfVo8UBp1arq5cSurnDDDXDllRAYCEFBxk8fH6MKqj14u/I4ShNWPxfCzgcb8N9Q6bTD0oRWQXKF28Z9nX+SzLxTnCo2G0ksi61SywzJ2oVTFmejaqu4mEJr9XmI3q7elacaenej65GldDWBm4IPcmF9njSBb1eSgadA/1tjsWo+GX6cDRclcMmUXrJCYAOUlJSQlJREYWHVJndCiJq4u7vTo0cPXFwq91KURFX7I4kqYXe1Nb4+dAj+8hfYuBH69YPly+HSS+02TGEfEoMJ0TiNjcFaLFGllJoDTAJCMPp9l9Faz2iRk9hBiwdKnTtDamrD9nVxMRJWFZNXpT9re6xTJ3ByqvfQjVZamWTrrcVdQGlvrStOt9x5tIaijFqTWRScQuefJDsvmVMllgrTDW1TD7WrkdAyw6mSYvIt5lpPdWmfS+nh26PGzdfNt+Xek6jfCeAJ0Ks0JSYr60cm8PWlSfxhWgQTY7vLCoFCiFbl6ImqjhiDSaJKtHsbN8K998LhwzB9ulFp1aePvUclhBAOpVUTVUqpJcA9wGbgFJUXhUNrPa/ZJ7GTNqmo8vAwyofHjYOMDGNLT6/5Z+ltSy2dzZ2cICCg4YmtoCDw9wfnBrQrq6kMui16a9VEWysktGqo0so3ElpjDp9iSyE1rmQ43MuLpBIzp4uLqj3n6+ZbnrjyqZ7I6unXEz83Pyn1bWlHgL+DfktT6Gbhg1FH2T4zjWun95UVAoUQrcaRE1UdNQaTRJVwCMXF8Nxz8Pjjxu1774WHHjJmRQghhKhXayeqUoA/aa3XNftg7Uy77FGlNZw9Wz15VVdiKyMDiqonZMr4+9ef2HrhBdiyxTiOg/TWOv1fVWsTeD32Yig4SXFeIqcKckgyU3mzupJkcSaxxEJycVG1ZJeXi1etFVk9fHvQ07cnAR4Bklxpin3G1Ey1TpHrWcK7F8RzbM5ZbpwWKSsECiFanIMnqjpkDCaJKuFQkpNh4UJ44w3o2hWeeQauvbZ1ZjkIIUQH0tqJqjTgfK31kWYfrJ1plUDJHpVJWhvnbUxiKz0d8vPrPm5gIISFlSe3akt2ld72bONV3Wy9tdIToPh5uOxKiAuuoUdVSQ7kn4SCJONnfhIU2H7mJ1GSn8Tp3LRqyaxEi4kkqwtJZs2p4uqrG7o7u1dOYPlUrsrq4duDIM8gnFSVQEaawBt2gvURjdNGRZZ3EWvHHCFnbgnXT+4nKwQKIVqMgyeqOmQMJokq4ZB++QX+/Gf49Vc4/3xYsQKGO+T/WoQQok3UFoM1YL5Xg6wErgMWtdDxOjYvL/j00/IGjW0xfU4p8PY2tt69G/66wkIjaTVwIGRmVn8+Lw+Cg42k1uHDxr7Z2bUfz929/mRW1du+vk1vKu/eGbJSCFoKZMIva+H+++Hbqv/pu/iAX39jq4EL0NNSRM+C5CpJrNLkVhKWvCRSck+RVGIpT2SVFJJUEk9SWiI/JsPJ4mJKqiSzXE2udPfpRg/fnuUJrdMp9HAGDwVrc+C93NIm8LX33OqQhoDTJwq2gs9DLiz4PJr0nwt5d/wRXG9zYs54WSFQCHHOkxhMiPbivPNg61ajsmrhQhg5EubPh3/8A0JC7D06IYRwGC1VUfUi8EdgH7AbqFTyobW+q9knsRO5omdTU28tT09jOuC8Ku0vSkqMpFZtlVo13T5zBqzWms/t7Nywiq2K9/39wWRbMa65Uy0bQ1uhMLVaRVZpQsual0RaThJJRQVGIqvSVEMXksxOJBWXUKRr+SyA+YPn07tTb3r59aK3X296d+pND98euJrOgYTNt1Cy0ILLVhOnO+Xz/sXxdLnTkxnnywqBQoimc/CKqg4Zg0n8JRze2bOweLGxKqCnJyxaBHfeaSyWJIQQAmj9qX+b63peaz2h2SexEwmUKmjNhI/VCllZlRNYDUl0ldQyDU6p8ibx6emVk2AuLnD11TBjRvUEl5tby7yfumgNJdnVKrJKpxzq/CRGx+1hay1N4Lu6OJNcUrmySqHo5t2Z3p3C6N0ptCyB1dvPltDq1BtvV+/Wf29tQQNfQNGDFtx+N5EYmMv/piUQeU8nJg6SFQKFEI3n4ImqDhmDSfwlOoyDB+Gee+Dzz6F/f6P5+uTJ9h6VEEK0C62aqOrIJFCqoD2t+gdGwic3t+5k1muv1d1Eviovr8oVWrVVclXcmjM1sRalTeC3HoH/vgdXzYZ9topxfeFUinKPk5h9guMFORwvgRNmOF4Cx81w3GIiscRabYphgJsvvf160ds/osZkVpBnkGM1ftfA/6DgQTMeB5052vksX8xKZMRfQxgW4WDvRQhhV46cqOqoJP4SHYrWsHGjsSrgkSPGxdKlSyEiwt4jE0IIu2rxRJVSagNwndb6rO12bbTWemaTTtIOSKBUxd695b21oqPtPZr61TZlcfFiuOiimhNcNW1nzhhBRk2cnSEgoP6EVsUtIKDu0u+3FRSC5W+gMiHRFwb/CbJca2oCnwh5icbP/ETIP4El9wSns49x/OxJjhcXlyexSpNaZkWutfL78XR2o5dPN6Mqq4ZkVjefbpicGje9LjknmcXfL2ZL0hZ23razUa9tMCtY39UU/p8FzwRnDnbL4sdrkxl3Tzf6dpMVAoUQ9XO0RJW9YjCl1BTgOcAE/Edr/XSV592A/wLDgAxgjtY6QSkVCKwDRgCva63vrO9cEn+JDqmoyJgKuHixMSvgvvuMXlbeHaTqXQghGqk1ElWrgbu01jm227XSWs+r6/n2TAKlDqAlpixaLEayqq5kVk1Jr+Li2o/p51d7IivxWfg2BxIAM1id4fcBMP8aEzsfbERDda2hOBPyTlRIZCWic09w5uxRjmef4HhuCseLrWWJrONmY0u3VD6USTnRwyuY3n496R3Ql96dIsqSWKU9s9w3hEJhStkqhatzSpvAV0mwtQYzmP9rpehhC17JLsT1ymT3LRlMvLM7XTrJCoFCiNo5YKKqzWMwpZQJOARcDCQBvwLXaK33VdjnDmCg1nqBUupqYJbWeo5SygsYAsQAMZKoEue8U6fgwQfhzTehWzf45z/hj39s8Qp9IYRo72TqXxNJoNQB2GvKotbGuetLZlXdzp6t/Zgmk7FqTGlVVk2VWo2t3rJaoDClrBqrtDorP+cYJ7KOGlVZeZmVqrKOm+GkGaq2fA9yAicg5DS88z7MqTBlsfChQtyc26AHWDEU/duC+e9WvDJc2BmRTsJdOUy6pTu+HudAw3khRKM5WqLKHpRS5wOLtNaX2O4vBNBaP1Vhny9s+2xRSjkDp4FgbQs2lVJzgeGSqBLCZssW+POf4bffYPRoWLEChg6196iEEKLN1BaDOdtjMEK0KS8v+PTT8imLbdVXSymjlNvbG3r3bvjrSkqMq2vp6dWfc3ODqVONhFZmJhw6VJ7gqq2xPICPT8MSWoG9IXAodA3E08+P/krRH8BSbFvFsHyaYUnuMU6eOcLxrOOcyD3N8cI8XsyCswXwy1vQMxs2vgXRf4J8V/B40p3unp0I9+1BuH8EYUHRhAdFEdYpjHD/cLp4d2mZvlKu4PZnE243m8hdXkzkM34MuTuI7a+kkvm3IsZf1w1XZ1khUAghGqk7kFjhfhJwXm37aK3NSqlsIBCo4Q9adUqpW4FbAXr16tXc8QrR/p1/PmzbBq+/blRYDR8ON98MTz4JwcH2Hp0QQtiNVFTVQ67oCbuorbfWCy/AvBpmcZQ2ls/MrF6hVddjWVm1994ymYyVExtateXnwelNkZx8EQbEgYcZCpzhf5FwzWxYFGjiaLGFYyVw1FaRVZGHkzOh3gGVE1khAwn370OYf1jTVy3MhcynCvFY7oxHvjO/DE7B8qjmvJmdZYVAIQQgFVUNoZT6AzBFa32z7f71wHkVq6OUUnG2fZJs9+Nt+6Tb7s9FKqqEqFlWFjz+ODz/vHFR9e9/hzvuqLsqXgghHJxM/WsiCZSE3bREb636VOy91ZgkV35+g09hVvBDL5hw9QPg5wqeFvAspsglm1P6FEctJzmkU4gvzOBoUTFHbYmsnCrzCoNd3Qn3CiTMr4eRvAoaQHjIMMKDIunh2wNnp3oKRLPg9GP5dPq3Ky7FJn49LxWvJ52JmRBQXsnlaIsFCCFahCSq6idT/4RoI/v3wz33wJdfGq0rnnvOWABICCE6oA6TqGrqijO25xYCNwEWjCakX9R3PgmUhN3Yq7dWQxQW1pzMuus2KKq+u1WBk8kZzHU0gvf2hoBO0Mkb7etGsZcm27WAdNd8kk15nHDJ56hzMQfcYL8LpHpApgdYTOCsFL3cPQn3CjISWQERhAfFEtZ5GOHBAwnwKE9GWdM0SQ/k0nmNJ84WxfZx6Yw8konq8xn8fh9kWTEHGAvxfKec2flAHVMqhRAdgiSq6mdLPB0CJgEnMZqp/1FrvbfCPn8CYis0U79Ca31VhefnIokqIeqnNXz8Mdx7Lxw9CrNmwb/+BWFh9h6ZEOIc1VqruXeIHlW2FWdepMKKM0qpDRVXnMFIRJ3RWvexBUnPAHOUUgOAq4FooBuwSSnVT2tdZW0zIdoJe/XWagh3d+je3dgq+v0+eC2ncrLKDZxu9oHns43piRWTWxV/VritMjJwS8gkJOMMIZmZDLBWbdtertjDRK6XIsujgFT345xyP84p95844AE/eRrJrEIvhXsnD3yDAgjs2pMuV0bS8+rBeL4xjJHrhqKKQyDpEay44EQRJdlwwRp4bnYjVlgUQogOzNZz6k7gC4yLhau01nuVUo8D27XWG4DXgDeVUkeATIy4CwClVALgC7gqpS4HJleJ34QQpZSCGTNg8mRYtszoWRUVBfffb/Syak8xoRCiQytNUK3etRqrtlJsqWNV+xbkUBVVzSk7Bx6suG/F/eo6p1zRE6KRWnrKotVqrIRYS1Kr2s/0VHRGOmTnomr5/5sVyHI3klgZnuBTaKJfpgXnCrsXmuClEfCXpT9CUIjRh6tTJ6N3V3sk0xaFaDKpqGp/JP4SooKTJ+GBB+Ctt6BHD1iyxPib3xKL0AghRAUllhKOZx9n28ltvLL9FX5O/Bkn5USJtXyWiX6s5XJIrV5RpZSag1EOHoKxQn0ZrfWMFjpNc1ac6Q5srfLaKuUgBll1RohmWLWqfMpi587w2mvNO56Tk5Eg6tQJwsMb9BIFRv+t7OxqySydepK8xL0UJcdjSjlFYGYWveOyKiWpANwt8JetwAVjKj1e5OWC7uSNKTAQ5+CuqKBu5Q3la9v8/cHVtXmfQ13y8ozVIBMTYdq09jVNVAjR6tooBhNC2Ev37rBmDdx+u7HYzjXXwEsvwYoVMHiwvUcnhHAwucW5xGfGE38mvvyn7faJ7BNYqkw6q3q/LbRIokoptQS4B9gMnAIcp0yrBlrrlcBKMK7o2Xk4QjiW9jJl0WQqTxT16VP2sAJ8bFupbLdluFv+hpulfKpfvjP863zwjYim0JJE4ZlcyLHgX1BCQMEZAvLPEHzwCCG7IKAQvPLBqa7/W3h7153Mqm3z8Kj/vc6fD6mpRk+LlBS46aaWb7wvhGiXOloMJoSow+jRsG2bcVHw//4Phg2DW2+FxYshKMjYRyqshTjnaa1JzUutMREVfyae1LzUSvsHegQSERDBqB6juDb2WiICIuh0dSfWD1jPewPew+JsoVi1zZS/Ui1VUXUDcI3Wel0LHa82J4GeFe73sD1W0z5Jtql/fhhN1RvyWiFES4iOhrg4e4+iwfyK7wX1E1Y+wYkiCpzhk0h4dBLoRXEcvDCLbq964hqmScg8xJHkrRxK2cmnGQc4knWcwzmpHM/LxbsIAgqMrWcR9C+GPkXQ2+xGV7MLQSUW/IpycMvOQyXFQ1Y+nMmCkjoatru7153I2r8f/vc/KLI1BissNBqwrlplJLCEEB1dW8VgQoj2wGSCW26B2bPh73+H5583Lk4tXgzXXy8V1kKcI8xWMyeyT9RYGXX0zFFyi3PL9lUoevr1JMI/ghn9ZhAREEGEfwQRPhFE5Ebgd8oPjgE7gATbdhAuP3g5T3/1NIsv/DurB7+BxVRMsVPbVFe1SI8qpVQacL7W+kjzh1TneZq84oxSKhp4GxiJ0Uz9a6Bvfc3UpUeCEOeAsD0Q9hXsuh/OWDEHGv1KN1td+U9cIrHvBaIVHL85hz5L/DB5Ve8JUWwp5njWcQ6n7+PI6e0cSdvD4cwjHDl7imP5WVgq/L/WW0EfV+jjAn1doL9LIJFOXQg39SBId0EV+0ChB+SbIMdsJLNKe3NV3PLz635fpVMS/f3r/ln1MXf3Fv6A6yBXfkU74Mg9qtoqBmtrEn8J0UD79sHdd8OmTeDra1ywKi5umT6hQogW15jV8/KK8zh65miNlVHHs49jtpbPBnEzuRHmH0aEfwR9AvoYiSjfCCKKIghND8XthJuRgDpGeTLqJJXrsE1ALyAUo067gtPep1k87u/83HcTO5cfbuanUK62GKylElVPAiVa60XNPlj955oKLKd8xZknK644o5RyB94EhmBbcUZrfdT22oeA+YAZuEdr/Vl955NASYhzSC1JkxO/5pB1RzEDtweSHlhI4T/M9LjF29YMq36lTQmPZB7hSPp+Dqfs4oitGutobhpmXb6qoaeyJbBsiaw+rk709elMH/9wuvr3w8k7DLxDwSsUTF3g7n7wHlChKMtsgh/7wviJdxgJrTNnypNbZ84YW13/7/fwaHxyKyAA/Pwa12w+L6+8n1mvXnLlV9iNgyeq2iwGa0sSfwnRCFrDn/9s9K2q+Pfd09OouJIKayHsrqbV86yPWknPT691it7p3NOVjtHJvZORgCqtiPKLIMIcQUR2BN2Tu+OU4FSehDqG0ZW74uLpThjzykKBMNvP0ts9C8E/CYpOQP4JiJhb/jrnQnCywrjVMGsx3FF5XM3R2omqF4E/AvuA3VT6JxNore9q9knsRAIlIQQYc713rU4n8GF3eiX7cCI2h06vuuF7XvOapJeW7R7JPMLhjMNGAittL4czD3M0J5kSa3nRp4dS9HHRtgSWUY3VxwVGrgSPXeBUAgXO8HEkzJkN+m+nwT2k+qpAFVdSLE1iVf1Z23N5ebW/GaWMZFVDklr+/vDUU/Ddd8a0RbnyK+zIwRNVHTIGk/hLiEbq3NnoV1lVcHDNjwsh2kTSqCQWjl/Ie17vYdGWSo3JfVx9yCnOqbR/d5/u5YmoThFEEEFEXgQRqREEJAZUropKxCjBKaUwlosLpXIyqrcVuqaB/3EoOQ55iUYyKu8E5NtuF1b5/8S1unqCqlOK8dwfW3/Vv5ZKVG2u42mttZ7Y7JPYiQRKQoiK8vPM7FyYTux/AvAqdOH4lTn0fskbU7BT/S9uJIvVQuLZRCOBlXnElsw6yJGMA8RnnaDYtkysZzHsfRF6ZcMJP4j+E+S7wtaeEOnuQSe/MPAKB+8wY/MKA2/bfRefekZRRXFx45NbpT/N5vqP37kzhIYaiayGbt7ebb9Et0xZ7FAcPFHVIWMwib+EaKRVq4wVAateUPL3h3//G/7wh7b/WynEOaKgpKDWKXpHMo6gVc05lztH3EmEcwQRBRFEZEYQdioMjwSP8qqo41S5/AR0pXpFVI9c6HwKOh0FS4KRfMqzVUblJUJBElgrH0g7e2Fx70mBczdynLqSaQ0mtSSYU0UBJOT58/Df+0HfnysnqEo5SqKqI5NASQhRk6TDuST+KZeRmzpT4Gkm+4Eiui/0brklKuphsVpIOpvEZS+HElcMUanw7vtGJdW+kMr7hri4EenmTKRzMZHOJUS6QD9XCHcBF/dAW+LKlrzyqpDM8uoNpuZVjJXRGnJzyxNXEyZAVlb1/dzcYNy48imKZ84Y+1mt1fct5ewMnTo1LrlVuvn4ND5wlymLHY4jJ6o6Kom/hGiCOXNgwwajT5W7O1xwgfE3d9cuuPBCWLECBg609yiFcDhaazILMmudoncq51Sl/X3dfI2KKP8IOr/embiQOLb03IJGU+JcnjDST2koqnKyEConoXqbjWqo4EQIPAzmhMqJqPxEKDlbebzKhMWtO4UuXclx6soZ3ZnUkiBOFgVyPK8TR876cTLXlap9TDxcTQT7ehDo487TTqNq/0AcKVGllOoM/AkYgNGSay/wktbaoWtNJVASQtRGa83ODem43W8i+nAAqb0LcHvRhN+0FkruNMDp/yoWZ8Lqs2DRUHHh2P9d/T8Oph/kYIZtSz9IWn5a2fPOyolwTx8i3VyNBJbKIdLFQqQLBJtAKQWePSpUYVVJZnl0BdXESrKarvx6esILL8C8eZX3tVohJ6dy8qqhW1YWWOpYM8NkanyS65FH4Ouvy/8hIFMWHZ6jJ6o6Ygwm8ZcQTVDThRR3d/jPf+Chh4y/iwsWwOOPGwuuCCHKWLWVpLNJNa6iF58ZT3ZRdqX9u3p3NZJRXhFEWG3T89IjiEiKIPBoICpBGVVRBcb+RjPyxaweshqLslDsXIzOtUL3HOhyGkKOg/9B0McqJ6EKTlO54zlYXAIpdOlGri0JlWYuTUL5c+SsH0n5Plip3DfWx8OFIB93gn3dCfL1IMjHnSBf9/Kfvu54ubmU7Z+1JoBOTmeqfU5ZVn86XZfZEh850PpT/0YDnwMpwBbbw+dj5AMv0Vpvqe217Z0ESkKI+hQWW9jy9GmilvvT5YwnSeNz6fwfT1wiWn46YDUfdoHCFE6bqZaw0o9V///7mYIzZUmrQxmHypJYhzMOU2Qpv6TTydWTfl7+RLq7Gckrcogkkz4u4FH6tpzcjKqr0mmEFZNZ3mHg6l/3uP+ZYiyDWwK4AMOA+zvDFS3XoBGtm57kOnOm7iRXKaWMfxD06VOe9GrITze3lnufDSVTFmvkyImqjhqDSfwlRBPV9v/5M2fgsceMhut+frB4Mdx6q1GVLMQ5otBcyLEzx2pMRB3LOkaxpfySr7OTM6GdQonwjiDCKYKIwggisiKISI4g/Fg4nkc9jURUbpWT+FM+Na9XMSyvcAHbVMhp31Msnj2Xn3tuYWcfE1grl1RZnTwocu1OrlMXWxLKmI53Ij+A+Bw/kgr8KdKVV+j293KrlHQKLrttJKQCfd1xd2nEgkfAN3tOsnzjHopKymNhNxcT90yLZWJs90Ydqy6tnajaAuwBFmhtLF+llHICXgFitNYXNPskdiKBkhCioU6dzGP/vWcYvb4LJu1E+m2FdH3GE9pwVtjp3NMs/m4xPyf9XO+StxVZrBZOZJ+oMYmVdDapbD+Fopd3MJHegUR6eBDpYiVS5RKp0+huzcapYgWxi1/NUwq9w2DjACgE/gZkAEHAM4A7LVpO3CwVpyuWbpdfDtnZ1fd1dYXhw40KrtJKroKCuo/v7t7wpFbpz9Lbvr7g1MhEqExZrJWDJ6o6ZAwm8ZcQrSQuDu6+G775xpgG+NxzMH68vUclRKOUrqC3JWlLtXj3TMGZyomoCgmpk2dPoitUJ3m7ehsr5zlHEGGJICLHaFoecSKCnod64nzMGc5WObkPtql5VqM3VNc0CEmCwHgIiAN1uLxReUlWnU3JtzrfQHJRoC0J1YnkogDOWn0pnZLnpBSBPqVJKI8ak1EBPu64mFrn4vg3e06yevNB0rILCPbzYN6EyBZNUkHrJ6oKgMFa64NVHu8P7NRaezT7JHYigZIQorF2fJ9G0V8tnL+9C9mBxfAM+M13rToN3GHkFudyOONwWRLrYEZ5Iiu3uPwykqeLJ/38etLPJ5BID08iXSDSlE+kNQ2fwkSwFFY/eBKwAtLugMc8YEsR7LzrJHh0afq0wtbUmCmLhYVGUqs0cVXbz9oeq6svV+kKiw1JapX+fPxx+PZbWWWxBg6eqOqQMZjEX0K0Iq3hww/hr3+F48dh9mx49lnjIoYQ7dEQ4HxI/msyj+9/nNW7VmPRFsxWM/835v8qVUadKaw8Xa2zZ2ciPCKI0OVNyyNORhBxOILgQ8GoM1UCdC8gTEOvEuiWBV1TbP2hDoH/HnDab1slLxl05VitxNSJPFNXsnQI6ZYQkosDuezRW2ttSj4385tKU/CCfd0JtFVCBfu608nLDZOTg/4DooFaO1F1Gpirtf68yuOXAqu01l2bfRI7kUBJCNEUxWYL3648RfiTvvQ55UfqwAL8X3XFZWTjym7bM601ybnJ5X2wKiSxjmUdw1rhj3dX765E+ocR6RNMP08vIk+9TaQLuCl4KhNW54C1dMpiX8DkbqvECrdNJQwHn4jy6ixnO/7bu2qz2tZI+Fit5dVc9SW1avqZn9+w83TubPzDpDSxVXUrTYZV3Tw923b1qFaesujgiaoOGYNJ/CVEGygoMBJUTz1l3H/wQbj/fvBwyPy26ECKzEUkZCWUJZ92P7mbryK+4oTfCaMiqkIIYlImenv2JsIUQURxBBHZEUSkRBBxLILwA+F4J3tXPrgHtmqofOh2BrokQ1ACBB6ATr+DKQ4KEsFSuTLeotzIN3Uhiy5kWIJILg7iRH4Ax/M6kWoOIc0cRKHt2pC7i6ms79MzTufX/kbbyywCO2rtRNVyYDbGJI6fbQ+PxpjI8a7W+i/NPomdSKAkhGiO1MwCfvm/FMau6Ypvvivpfygg5AVPo3tMB1ZkLiL+THy1Zu4HMw6SWVB3A8ZdUxbSzykPj4ITkHvU2MxVGgB4dAXviPIklnd4+X33zq2bRHGEKXTFxeWJrawsuOSS2ldZLF2BseJWWEP1W0XOzrUnsepKcJU+15jVFtvg83bwRNVyOmAMJvGXEG3oxAkjQfXee9C7t5G8uvLKtr0gIc452YXZtU7RS8xOrDRFz8nqhFVZa5ydUPx4MS7W8ibguGnoZYbuudAtA0JOQvBR8N8HfjvBdRcUZ1Q6hkZR4BRMtupMhq0SKrEggKSCAFLNwaSag8m2+AEKb3cXW0Nyo/opuKwZuUdZVZSnm7OxKBFt15TcUbV2osoVWAIsoHxx9hLgZeABrXVxba9t7yRQEkK0hJ2/p5P2lwImftudEncrxf9nwe9vbkYT8XNMRn4GFz0XxO/FVdcwKadQhPuHExUcRVRgfwb49yLKw5MoV41v8enyBFbuUchPotKRTB6VE1eVElmhRrVWczlaU/LGTFkEY3pgdnb1BFbFra7n66vocnKqnsyqLbn16qvw669G8q2VKtgcPFHVIWMwib+EsIPvvjP+VuzebVzEeO45iI2196iEgyqtvK9tFb2MgsrJomCXYCKo0LT8VAQR8RFEHIlAo3li3BOVVswrO0/a5xB4GPz3gu92tNsulDJXOnax8iZbdSHDEkJKcSCJBYGcLAokzRxEqjmYDHMgZlzo5OVa1oS8tAdUYNlKecZ9d9fGLUDQVk3JHVWrJqoqnMQTiLDdjddaN3DuQfslgZIQoqWUWKx8/V4SwYs8GHYomKxeRXi+5IzrtI4zHbChTr8bzOLk9EqrFJZae+Va9qfvN7a0/RzMOFhpFZbuPt2NBFaQsQ0I7EOUpxfBlixU3jHIiYe8Coksc17lk3t0r16FVbq5h9R9Bdm2ymI17i28WmFraIspi6VKSpqX6MqtuoROBZ6e8PzzMH9+iw3XkRNVpTpaDCbxlxB2YjYbFwgeftj4//Edd8Df/w4BAfYemWiHSiwllaboVUxEHT1zlAJz+fQ5J5zoZepFhDmCiLO2puXHjURURGYEPsU+xo4mDd0Ljf5QXVIgJAFWXg7Aae/TLB7/GKsHvYnFVEyxkwVzXxdyVAgZ1hBOFweRVBDA6RIjAZVmDiLNHEyh9iLA271SM/IgX3eCfTwI9DWqogJ83HB1bp2YvC2akjuqNklUdUQSKAkhWlrG2UK+eeYkF7zShe6ZXmRMKCTg326ovudeiX3pKoWlTTGLLcXoxyr/XTJbzRw7c4z96fvZl7avLIG1P31/pWbuAR4BDAgeUJbAigqOYkBQFD3d3FEVK7DyjhrJrNyjUHCy8oCcvcqTVl4V+mJ5h4NXKLxbRzVWe+8z4AhTFkuZzXD2LPTrBxkZ1Z8PCYGUGhKGTdQRElUdjcRfQthZZiY8+ii8/LKxIMcTT8Att4Dp3Lu41pHVtXpeqZyiHI6eOUr8mXiOZB6plJA6kX2iUk9SD+VBuA4nIs/WtDzJ6BUVkR5B7+zeuFpcwUlD13zoega6nIKgYxBwAO23E+W3EwJOgqm8+iiXALyvzai0ct7pmYtYbE7n50LobvmYQF9PW+VTTSvjeeDv7YqpsaslizbR4okqpdQG4Dqt9Vnb7VpprWc06STtgARKQojWEncog0MPZjNlYy9cLU7k32HG90lXY9nbc0xpwurnpJ9rDZSq0lqTdDapPIFlS17tS9tXqZzcy8WL/kH9y5NYwVEMCB5AuH84ztoMuQm2JFZ85SmFuUfBUrEoRVH7ZEXaf6IKOv6UxSZytETVuRCDSfwlRDuxezfcfbexauygQbBiBYwbZ+9RiaaqsHre4gPGhUKrtlJsKean+T9Vq4qKPxNPal5qpUMEEUR4UbjRtPx0BBEJRiIq4kwEXXO6GoXpIXnQNR06J0FQPNrWH0oFHYGARHA2puYV40GGNYTUkuAKU/FCSCsxqqHOqs508vHltSV+ta6cZ73GipP0U3NYrZGoWg3cpbXOsd2ulda65aLJNiaBkhCiNVmsVr76IgnXR0xM/K07+QFmTM8o3OabQC78NFlaXlpZ5VVZFVb6fpLOJpXt42pypW9A30oJrKigKCKDInF3djeW7y5MqZy42vNYpfMkm2FxBmwpgp0RnWwVWLat4m3P7qDkC22SNpiy6ICJqg4fg0n8JUQ7ojWsWwd//atRlTtnDixZAj172ntkooHMVjMnsk+wbew2Xh75Aj/12Ip2smCtIb/jhBM9zT2JyI0gIi2CiERbIiozgvAz4fgV+UFQLnRNgeBEdOBhtP8enAL2Q3ACBJ4Al2IsmMiyBpNaEkhycelUvNItiDxTV9y9gwjy9azQkNxWDWXrE+XtbmtK/nYdiShHuFAoaiVT/5pIAiUhRFvIyiti48vHGfpcMFFJ/pyNLcZnpQtqlFwhaklni85yIP1AtQTW0TNHy0rXnZQTYZ3CbFMHB5T3wwqOwvcDP6A8QbU6B6y2Hlt66h1GVVZOPOQlgK7QyNPJDbzDak5ieYeBya3tPwxHIav+nZMk/hKiHcrPh3/+E555xujnuHAh3HcfeHjYe2QCyCvOI/6M0RuqamXU8ezjmK3mOl//6ZpPiTgTQWhWKK5+RejOp9FBCRBwABWwDxV8DIKPQdAJcC0kx+pHqjmIlJJgUkuCSbMEkVZirJBX6NINZ+9uBPp4EWhLPlWdlufRiKbkRe+F4GZOq/64czBuV6XW8ArhKFp71b9eQKKu4WBKqV5a6xPNPomdSKAkhGhL+0+c4ddFaUx7vxeBue7kXFWMz3JX6GrvkXVsheZCDmUcqpbAOpRxqFIj9y4mMAGnba0TLBWOUam3ltUM+Ynliatc25ZzxPhZqcG7As+etVdjufq15lt3DK08ZdGRE1UdNQaT+EuIduz4cSNBtW4dhIbC0qVw+eV1L0Yimk1rTVp+WvVV9DKNLSW/8pS4AHOAMT0v1VYZlRlBp8JOrO+/nvej36++el7epRCUAEHHKXKzkGYOJtXWlLy0MXm6JYQi1+4oz574+XYqWxmvPAHlQWArNSWXhuQdU2snqixAV611apXHA4FUrbXDdt2TQEkI0dYsVs2mn5LIf8zM9O97oV1B/x+43W8CKbxpU2armaNnjpb1v1r27f+Raqn57+YlEZcQExJDdHA0MSExDAgegJdrDZU/WkNhaoXkVYVEVm688VxFboEVqq+qJLE8ujbsHwaOvFphG3DwRFWHjMEk/hLCAWzebPQRjIuDSZPguecco/9hO2a2mknMTqy+il5aPEezjpJjzinbV2lF94LuRGQYiag+mX2IOGObolccgp9fDgTG4xR02KiECk6Af30M1Lx63uO+D1Ps1gM8e+Lh3ZkgPw+CfD0qTcsL8HaTpuSiRbV2osoKdNZap1V5vDewT2vdTpcVqp8ESkIIezmbX8z6t4/R919+nH+gC3k9S/B4wRmny5TR11u0uYqrFJqtZkqsJWXPDekyhH1p+yiyFJU9FtYpjJiQmEoJrLIeWLUpyamhEsv2M/8EVFhdB5NHDVMJbfe9eoOTi7Gf9Haok4MnqjpkDCbxlxAOwmyGV14xVgg8exb+9CdYtMhYKfAc0pDV80rll+RXnp6XaSSi4tPjSchLwEz5FD1Xiyth2WFlzcojMo2f4fldCHVxwsM/CRVy1KiECk6A4GPk+GeQ6uZa3pjcHMwZazAlbj1ZePufa10977cHpCm5aHutkqhSSq2w3fwTsBqouDySCRgJFGutRzf5JHYmgZIQwt4OJ2ezaUkSU9f0oneaD3njS/B6yQWi7D2yc1fFhJVFWyi2FKMf01isFuLPxLM3dS9xqXHsTTN+Hsw4WNYbwqRM9AnoUyl5FRMSQ5+APriYXOo+saUY8o7XUI11xLZKYWH5vsoEnr2MpNXpTbUfUxJVDpmo6ugxmMRfQjiY9HR45BFYuRICAuDJJ+Gmm8DkkEWd9QvbAxE/kDxzEYvNaZV6VloftZJRkFE9EXU6nviz8SSXJFc6lF+Rn1EVVTERldOdCCcXenjmYgpONBJRIccoCUwirVMuKW4upFmMxuRZdKbErTvasyfOPr3x8w0kyNedYF93Am3VUD7uLkZT8tCdta6eJ/GAsIfWSlRttt28ENiC8btZqhhIAJ7VWh9u8knsTAIlIUR7YNWab347SdITufzhiwg8SpwxL7Di9r0JxgCPIH2s7KA0YfVz0s91XkEtthRzOOMwcalxlRJY8Wfiy5q4uzi50D+of7UEVph/GE4NWTFQW6EgueZqrMxfa39d+Fzw7gM+fWzVWH3AtVPjPggH56CJqg4dg0n8JYSD2rXLmA74ww8wZAisWAFjxth7VC0uyTeJhRffz3sDPsTiZMbiVF7t7Kt8OavPVtq/29lulRNRZ3vQR7sT4QoBfhmo4ASsQcc5G5BJqn8ep92dSbMEcVZ1pdi1G1bPnpi8e+Pt182YkudT3pjc002akgvH1dpT/1YDd2td5TeyA5BASQjRnuQVlvD+hqOELPFgym89cdIKq0ljVla+GJLIF5clccXlYdJc0kEUlBRwIP1ApeRVXGocx7OPl+3j4ezBgOAB1RJYPXx7GFdHG6KuqX8eXY0EV0VlfbFsCayKSSy34A7XMNcRE1WlOmoMJvGXEA5Ma3jvPaPhelISXHONsVpgjx72HlmjFJQUcCzrmFERlRpPfKKtMionnsMlh9FONf87+k/b/kR4Vm/6WL2JcHIizLMYz8CTFAYmk+l/lmT/fE57OJFj6kqRW3fw6IHy7o2HX28C/XzLElCBPu64uUhTctGxtWqiynYCZ4wy816Aa8XntNb/bZGT2IEESkKI9uhYylnWrzzGvY8OKnusxMmK1Unz9bCT+P7DhTETpcTKUeUU5bAvbV+lBNbetL2cyjlVto+vmy/RwdGVklfRIdF09upcPYFVJVGVbIbFGbClCHY+qI1VCHOPGqsSlq5MmHPEmFKYdwKoECs4+1ROXPn0sSW0IsCjGzSk+qudceREFXTMGEziLyE6gLw8ePppWLLEmAL40EPwl7+Aex19GttYZkFm+dS8hHjik+OJzzpCfOERTjpVvojjU+RTVhHVOacze0P2sqXnFjSaEufynpXfu88m09+VIrduWD164uTTCze/UDr5Bdum5HkQ4O2Gs8nx/l4K0dJau6KqP/AxEIbR4tcCOAMlQJHW2rfZJ7ETCZSEEO2V1hrlVL2yxao0B8OziDpybjUyPRdkFmSyN3VvpeqruNQ4MgoyyvYJ9AisVn0V/cuVBJjTyhJUFXtp6MfqiQMsRZCXUCGJdcQ2tfAI5B4DXd70FZN7eQKr7KctmeXZE5waPj2hLTlyoqqjxmASfwnRgRw7Bn/9K3z0EYSHw7/+BTNntkl1rlVbOXn2JPHp8cTHxxOfdIT41APE58UTz3GynCsXo3bJ6WJM0TsTRkRhEBHagwgXRVc3cPErIiMgn8wQMxfevxKoefU88yNWTDXEZ0KI6mqLwVoqYlwO/AYMBk7bfvoBLwMPt9A5hBBCVFC1asaiNCatyHc18/7weB7FIf/dLeoQ4BHA2N5jGdt7bNljWmtS81IrJa/2pu1lzZ41nC0qD8A9nT0ptBSiUFi0peEnNbmBb6SxVWU1GysRliaucipsyV9Uae7uDN5h1fth+fQBr1DjPFV92AUKU6o/7t4Zrjjd8PfQsS1HYjAhRHsWFgYffgibNsHdd8OsWXDxxfDccxBlWxlm716YMwfefReioxt1+CJzEccyjhF/JJ74o/s4fGofR7KPcdR6guOuJykylbfwc7Y40zu7NxGZ4YzMH0SExYdQJ1e6uLji7+1MSbDm7EDI6+qF8u2Jq18oTgGhmP388fd1p6uHrSn5/YBzIV2KfXmxcCCPdPFisbmAnwuRJJUQLaClKqoygAu11nFKqWxgpNb6oFLqQuB5rfXAZp/ETuSKnhCiXVNQbLKgFXwxJJFdYRncvKk/3TK9KJpvwW2pyfgnqzjnaK1JOpvE3rS93LHxDo5lHatxv6igKGI7xzIwZCADOxtbL79eDe9/VesArFBwqvJUwoq3zTnl+yono+Kqak+sH66o/fgtuDqRg1dUtVkMppSaAjyHsargf7TWT1d53g34LzAMyADmaK0TbM8tBG7CqPi6S2v9RV3nkvhLiA6qpARefhkefdSYGuh5NcRGwb5HIMuKOcBobfWdcmbnA+XT6bLysziyfz8H9u/k0IkDHMtKIMF8kgSXU5z0SEGr8r8JXsVexhS93G6EF3eil/ahm4sHQV5e+AZ5U9TDleJenXAO6oWXfxj+/p0J8vPAy62elXcrsIbtwanP99VWz5Om5EI0TmtP/csEhmutjyqljgC3aq2/UUpFAHu01p7NPomdSKAkhGjPcvoX832nZN4cd5gzPkUAeJpNXPd1Py7/OYySYAtur5lQ0+Xq3rmsdHXC1btWY9EWii3lV5dnRs5kT+oejp45WvaYr5svsSGxZYmr2JBYYjvH4uvWQrPItIaitBqSWLb7RRn1H0MSVUDbxWBKKRNwCLgYSAJ+Ba7RWu+rsM8dwECt9QKl1NXALK31HKXUAOAdjD5a3YBNQD+tay/tk/hLiA4uLQ0efhhWvgq4orGgMFPgDBsi4erZcGXaRI6bUjjmcYoMjzOVXh6SG0LE2Z6EFQbT29qJ7k5+hHh1Ijg4EJ/eweg+gXh2DsUvqDeBvl64S1NyIdql1p76FwcMAo4C24AHlFIW4BbgSAudQwghRBU+B1zx2OOMy2YnVDZlgVKfP/vx/Io9zPx3KGGX+VLwBzMeLzlDsL1HLOyhi3cXXpz2Io9c+Ei1hNX6q9cDRgP3uNQ4dqfsZnfKbvak7uHtPW/z8vaXy44T2inUSF6FDDSqsDoPpE9AH5wb23tKKXAPMbbgC6o/X3zGmE74xYhmvOtzRlvFYCOBI1rrowBKqbXATGBfhX1mAotst9cBLyijNG8msFZrXQQcsyXURgJbWnB8Qoh2ymLVZJ1JJ+PgYRL3HCAx6Rgns06TpNO5ICaMP+49isl27cHDDNMPwdwd8F34EcLyuzIj9wJ6OAXQ3SuIrkFd6B4ehl90KD49wgjoFICLnZqST4ztLokpIVpJS1VUXQJ4aa0/VEqFAxuBSCAduEpr/W2zT2InckVPCOGorFrz2S8nOPtICX/YHI7VR+PygsLpj05Gy2VxziqtsPo56Wd23raz1v201iSeTTQSVyl72J1qJLEOph8s63Pl7uxOdHB0WeVVaRVWsFcLZEXfruM/VKmoAtouBlNK/QGYorW+2Xb/euA8rfWdFfaJs+2TZLsfD5yHkbzaqrVeY3v8NeAzrfW6Kue4FbgVoFevXsOOHz/eEkMXQrSiEouVjOwcstMSKDqeRN7BU6ScPMXprHSSC8+QSBYJrukc9Uom0TcJq5O17LWexZ4cW55PSH7146Z5QsBZCyZZGU+IDq1VK6oq9hmwXWmLUkoFAGd0S2TChBBCNJqTUkwb1Zu0DwpY+e99THquO/2v8yfvjRK8VrlAD3uPUNhLaYVVfZRS9PLrRS+/XkzvN73s8UJzIfvT9rMndU9ZBdanhz9l9a7Vlc5RMXE1sPNAooKicHOuoWm6aLKOFINprVcCK8G4UGjn4QhxzisssZCRXUDmmZPkZx7FcvIUrkdzyU/OIi0rm5TCPJKsORx3zibeI5X4Tgmke6WDB8YGBBX6E1rYneG6H1cWTyA8OIy+fWKIGTqCrt17cvbZ5RSZ/oabpXwFWc3/s3ff8VVU6R/HP08aIaGFjvReQm8WsKKIoiJ21q7YXcvuuuq6KCtY2bWtbVFBVuwd1w7KT1EsNOkIkSA9CR3Sk/P7Y25CEhISyE3mJvm+X6953Ttz5555Zm4SHp575hyomw7hkx6F22+HWvp3Q6SmqbB5op1z2yuqbRERKbsm9Wpz41/i+ebUzfw4LokLP+1EZrccwiYZEdeFgb6slEMUHRFNvxb96NeiX6HtSfuSvJ5XWxfn9756+qenycjxxk8Lt3C6Nu6af/tg72beLYSt67UufvD26GaFZv3bnA0TtsHczAhK7gcmFZSDbQRaF1hvFdhW3D4bzCwCbyqHbWV8r4iUxyHMkuqcIzUjm5Q96WzbsZ19O9aSsSuRsKTNxG7IoPaWXHZvzyA5I4ON2WmsDUslodZ2Eur9zm9xv5FaLxUCQxaG5YbRKqM57XJaMrLW8XRu0Iku7XvSqVs8Hdt2LHVsw/qZt4N9Ry7/I4wM0iLg6/aQGQZn3303vPgiPP44nHGGd9u4iNQIh33rn5nNAC5xzu0OPC+Rc+6swzpI4eM1BN4E2gGJeN3ZdxSz3+Xsn455onNuWmD7A8BlQJxzrk5Zj6tb/0SkOtmdlsmbryQw8OEm9FvbmL1HZVHnlUjo5HdkUl1l52azZvuaQmNfLd66mMSdifn71K9Vv9DA7b2b9aZn057UrVUXgM17NjPhG29srVyXS2ZOJu6+mnvrX2XnYIFjRuANpj4Mr8j0M/AH59yyAvvcBPQqMJj6Oc65C8wsHniN/YOpzwI6azB1kSBqtxA6zfVmoYvbsr+wnwEP9HuNnL2/E7UjifpbsolLiiRqRxQpabmsz8whITeThMhdJNTdSELDBH6v/zs5Yft/PaNzatE+uzUdo9rRKa4zHVt2p2OHTnRs05F2ce2ICo86/LjbL4H2X8KiO2BHLtmN4I47YDYRLOz3Mdx6K6xcCaeeCk88Ad26lf9aiUjIqIhb/7bh9cwE2F7geUW5C5jlnHvYzO4KrN9ZcIdAMes+YGAgnvlmNiNQ0PoIeBpYXcFxioiErHq1o7jm2u4sGJbClL+v4ML3O5Edn0vOeEetO8IrsJ+t1FQRYRF0a9yNbo27cUH8Bfnbd6Xvyh+8Pa949d9f/suezD35+7Sp34YwC2PD7g2AV/QSoPJzMJxz2WZ2M/A5EA5Mcc4tM7P7gXnOuRnAS8ArgcHStwMXBd67zMzewht4PRu46WBFKhEpXk6uY+e+DFL2pJOyK41dO7eQvjOR3H3rOG/dbbChO5vnn8aEs25iarsvycWRGZbDtn+uIiFsHwmxSSQ0TCAhLoGkTkmF2m6Y04CO4e05su5g/tD0D3Rs09FbGnakRd0WhFkFdb9e2wvoBctOhQsvJOLNN3k8Pn7/64sXwzPPwH33Qa9ecMstcO+9UL9+xcQjIiEhKIOpVwYzWwWc4JzbbGYtgNnOua5F9hkT2Oe6wPp/Avu9XmCfvepRJSIC6ZnZvP3ub3S6vx5Hr2zOnl6Z1H01Cnr5HZnUVM451u1alz94+5M/PklyanLx+9bgHlU1gfIvqWmyc3LZtifdK0LtTmf7rl2k70okZ886wtLWE5W5iboZKRyxM5ymO2OJ2x5HWEpzft9Xh4TMMBa4NF7v+TpLmi0h13IPmDTFnNHKWtKxdic6NuxIx5Yd6djaK0R1bNiRBtENfDnvMktKgr/9DaZMgSZN4KGH4IorIEzjF4hUZSXlYMGa9e8D4BXgI+dcZrkbLP4YO51zDQLPDW+Q0AZF9vkLEO2cmxhYHwekOef+WWCfUgtVmnVGRGqSVRt38s34TZz/ekfqpkeReUcOtcdHgMYuFZ/lzU44ddFUclwOmTn7UwwVqjyVkYP5QYUqqU4ysnLyC1Apu9NI2Z1K6u4N5Oz5HUtdT63MDcTmbKEpOzhidySNd9Sh7vYmkNyOfdub81t6FAm5WSRE7czvEZXQMIF19deRHV6gp6mj2Fl9V9y0gnYN2hEdEV1p51xh5s+HP/4R5s6FQYPgqafgqKP8jkpEDlNFF6peA84CsoB3gVecc/93GO3MBJoX89I9wLSChSkz2+Gciyvy/qAUqgpSoiQiNUF2Ti4ffpZI3N9rcdKiluztkEXs9AjsaA1cKv4rrmClQpUnWDlYqFH+Jb45hEHJAfZlZLFtdzrJ+YWodHbvTiZndyKkbiAqcwP13BYaR6TQ1LbTYnckcTvqE5HSGpLb4ZLbsW1XHGtyICF8N7/FrWVNwzX5BaktdQsfs0FYAzrGdqRj4450bNGRjo28HlF1j67LS/1f4uV+L5NjOWRGVExhPyQ4B6++Cn/9K2zeDJddBg8/DC1a+B2ZiByiCi1UBQ4QC4wG/gCcDGwGXgemO+eWBqF93fonIlLB1qfs5bMH13P2S+1otCea1OuzqTMpEmL9jkxkf8Hq+w3fs/C64M37V5ULVVDxOZgflH+Jb4oMSl7QtCNWsn3XHrL2/o7tW09kxgYasJUmEck0iUimafg2mu6OJGZbc0hpB8ntILk92SltWJ8ew2/s5bcGiYV6RSU0SmB31O5Cx2kZ1ZKOcR3p2Gx/IapjnPfYsHbD4uM2ICKdLXU3MeH8K5h6xLfkAJlUw0JVnj174MEH4bHHICoKxo3zBl+vpS7hIlVFhReqihysCXAhcD3QzTlX7uF5zWwSsK3AYOoNnXN/LbJPQ2A+0D+waQEwoOA0zSpUiYgcXK5zfPHNetxdcNoPbdh7RBa1Xw4n/BSNAyHVU1UvVBVUETmYH5R/SUXKdYFByQM9oPJ7Q+3ax53nDoCIdDAHx01l86jxTMhOZm4GzGrekAZ7ahOW0tYrRCW1h5R25KZ0Jm37ESTmpPFb/XWFC1FNElhbby1ZYVn5x4+0SNrXaU/HJgcWoto3aE/tyNqHflL9gGOAcUDziivsh6Q1a+BPf4KPPoJOnbzZAUeO9DsqESmDipj1r6QDRQMnAacCXYD1QWr6YeAtM7saWAdcEDjeQOB659xY59x2M5uAN2UywP15RSozexTvm8YYM9sAvOicGx+k2EREqo0wM0Yc34aUz9OZ8thKhj/dijrD67D7D5nUeyYKGvgdoYgUpwJzMJEqIzsnl+17MwqNCZVXiNq9ezuk/k5kxkYahyUFekKl0DYymUERyTQOTwEyITuazXU2MyF6MVO37iHXosiMyMTdspz5dX8vXIjq8i0JRyWwMXpjoTjqRdajY8OO9G7Um9Fxo/MLUR3jOtKqXivCw8KDe+JFalHN6zTnmZHPBPcYoapTJ5gxAz77DG67Dc44A04/HR5/HLp08Ts6ETkMwRqjyoBTgIuBs4Ec4G28LufflvsAPtI3eiJSkznn+G7hFlL+ks6Z/9eWjLgcIv8TRuS5QU6wRXxUlXtUVdccTPmXFCczO8crPuUVoQoUo7bt2Uvu3o1EZW7MvxWvSUQKTSOSaBaZQpOIFOrYHtjTOP+WPJfcntwdPbCULlhKG9yWxixouIQJx0/g086fkmu55ITllBhPi9gWXo+ouI6FClEdG3akUe1GeL+eUqkyM+Hpp2H8eEhP9wpXf/871Kvnd2QiUoyKHkx9C1AP+BSYDnxcXWaeUaIkIgK70zL58LlEjpnUjI5b6rNzZAYNXqoFzfyOTKT8qnihqlrmYMq/qoevlmxk6terSN6VRpP6tbnyxK6c1KtlsfumZWaTvDuvAJXm3ZK3O51te7xCVMbeJGplbaJpfhEqmaYRyTSPSqFpZAoNbBth5MK+OEhuD8ntyN3WHXb0xLZ1xJJawubGZGQ61sat3d8jqkUCCc0TSGiQwNpaa8mwjBLP51/D/5VfiOoQ14GYyJiKunRSXlu3wt/+BlOmQLNm8MgjcOmlEKZhDERCSUUXqq4B3nbO7Sx3YyFGiZKIyH4LVqWQ8JddjPq0HTkxDnsCoq+MKHY6bJGqoooXqqplDqb8q+rLeKsptbKTD9i+zxrxbovv84tRKXvS2b1nJ7E5W2gSkUKTiKRAMSqFI2ql0DRyGw3DthJFoICUWg+S2uNSOuN29SVsRzevMLX1CNjUEPZFsTN65/5CVPMEElp7g5YnxCawIWwDjv3//6kTVadQb6jG4xszp+03fNlxJrlh2WQW6FFVbQclr85+/hluuQV++AEGD4Z//9t7FJGQUKmDqVcnSpRERApLz8zmo1fWEf+PhvRYH8eOYzOIm14L2vgdmcjhqcqFqupK+VfVkOscu1MzC/WEynv+19tcibPnfbjzTI6I3kbzqGQahiUTy879L6bVgeR2uF39sZ29YXtXSG4DW5rDxgawO4pcy2Vznc37e0S1TSChWQIJ9RJIiExg+/55lABoFtts/215RW7RaxLTpPAteoFBybf8eQsTVkxg6qKp5LgcMnMyVaiqqnJzYfp0uPNO2LIFrrzSmy2weXO/IxOp8Sq8UGVmpwE3A+2BU51z681sLLDWOTcrKAfxgRIlEZHi/bp+JwvuSGHU++0ICzOyH8wl9tZIUK96qWKqeqGqOuZgyr/8l5Pr2JE/KHla/nhQyfljQ6WxbU86UW4PTQO34TWJSKFZZDKtordzzNUzC82el1+wSo/B7eyB7R4IO3rBtk6Q1Bo2N4VN9WB7JACZ4ZkkNkj0ekR1TCDhiMAA5tEJrGUtaS4tP9ZwC6dN/TZ0atjpgEJUh7gO1Ikq84TfB6hRs+dVd3v2wMSJ3iDr0dFw771eb6uoKL8jE6mxKvrWv4uB54EX8aZDjnfO/WZm1wHnOOdOLfdBfKJESUSkZNk5uXz63u+0/Fsd+q9pzPa+6cS9XgvrpnsBpeqoyoWq6pqDKf+qWFk5uWzf4xWc9veGChSkdqeTvCed7XsyCHeZNIrYRtPA7XjNorbRuvZ2WkSl0Dg8iXpsJcrtK9S2y4rF9h0JNxWokVoOm+tsYcLx45nbch4L/+MVfPZE7fF6QnVJIKFNAglNEkiok0BCeAK/Z/1OLrn5TcRExtAhrkOxvaLa1m9LZHhkpVw7qQZ+/RX+9Cf4+GNvVsAnnoDTTvM7KpEaqaILVb8ADznn3jCzPUCfQJLUB/jCOVdlh9tVoiQiUrr1yXv57u4tjHy1LdE54aTelU39e6Mgwu/IREpXxQtV1TIHU/6136EMSA6QkZWT3/tpW14hKm88qEBBasfeDByOBuE7C40H1ab2dprX2k6T8CTqs5WY3APHmCLsCEgdBDv7wLbukNIOtrbwxodaHwNb9s8K63AsbraY8SeM5+MuH+fPondU9FEk5CSQnFW4/cYxjQsXoQo8b16nuWbRk+D65BNvVsDVq+GMM7yeVp06+R2VSI1SUg4WrP9CdAbmFrN9L95MNCIiUo21blKHC17oyFfnbyD2L1EcPaEZO97KoN5rkYT3172AIhVIOVg1lvFWU07KTuakxkDjwMYlkLqsMXO6LyhyK57XI2p3WhYA0ZZGk4gUmkYk0ar2dgbE7OCImG00rptEA5KIzd1CuCsyw114bYhuD/v6w87esK0LJAXGh9pUH36Pho1hFBiLnOyIbNb1WEdCp7kkHB0YwDw2gZWJK1nTcA3Z4dkHnFdMixjOjjv7gJ5R9WrpR1Yq0emnw8knw5NPwv33Q3w83H473HMP1K3rd3QiNVqwClWbgC7AuiLbjwMSgnQMEREJYWFmnHxqa1KOTufN8Ws45YVWMMjYcXM6cY9EQ7TfEYpUS8rBqgHnHPsysgOFp/3jQV1azKx5ADG5Kfz3k5k0iUihXcwOBsRup0Wd7TRpkEScbaVO7mYic3YVfpOFQe0joFZbSB0JO+MLjw+1oR78HgHrDXIKvg/2tdvHb90SSDgjMGh5XW/Q8oTsBNbtW0d27v5iVHRENB1iOpAUm0R22IFFKoBZl1XJodOkOoqKgjvugEsugbvvhkcegf/+13u8+GII05dtIn4IVqFqMvBUYOBOgNZmdizwKDA+SMcQEZEqoHG9aC74V0d+OG8rGbflcsJTR7Dz/QxiXokg6vjw0hsQkUOhHCzEOefYlZqZf9td8u7Cg5PnbU/PyqsOOeqG7aVpRDKXPregxJnzpre9qvCBIhtAbBuI7gQZo2BbPGzrAFtbwuZGsD4WEsPgdyCrSIxHOLZ13kbCSd6g5WsariEhOoEEl0BCagJb9hU+dlx2HB3rdWRg3EAujLuQjg075g9k3qJuC8IsjC1HbWHC8ROYWncqOXiz5omErBYt4OWX4YYb4I9/hMsug+eeg6eegoFV8s5wkSotmLP+PQDczv7vzDOAfzrnxgXlAD7RGAkiIodvd1omX05az5DHW9B0V222XZZOk6drw+FPwCQSdFV5jCqonjlYVcm/cnIdO/dlFLr1rtCteIHHrJz9g4JHWiZNI7bRqf4u2sXsoGX0NppGJtPQkqiTu4XaWZsIyw0MUH6xO3DmvAZbYHcTaPofSGoPSS1gUxysi4JEvKXIHX00hZz2OWzotIGEtgkkNN4/aHlCZgIJOxPYnbG70Fta1m1ZaKyoTg075a/H1Y4r8zXKmzVv6qKp5DivYOXuC87/P0QqRG6u16vqrrsgKQmuvBIefBCaVckh/0RCWoUOpl7gIDFAD7zJyZc75/YGrXGfVJVESUQklP2yNIWtN6dx8jet2NskizqxkWwatI+Hey5iDbvKNECwSEWp6oUqqH45WEXlX4cyMHlObi7b9hQpQhXpBbVtTzo5uftzaSOXxlG76VxvF+1id9Kq9jaaRqTQKGwrdd1WamdtIiIr6cCDRTeFmDZej6jabSCrM2zvAmecXDCiwMx5E5jb6sf8mfMAaAS0g/QO6axtt5aEFgkk1E8goVYCCbkJJOxKYO3OtYV6NUWGRdKuQTuvN1Rcp0JjRbVv0J7akbXLd7GLyCtYfb/hexZet7D0N4j4bfdumDDBmxUwJgbGj4ebb4ZIzTApEiyVUqiqjlSoEhEJjvSsHL54Zj19H2hMm5Q65JgjOzyXL/qt57UT1rCvYTa3jeylYpVUuupQqKpuKiL/ynirKbWKGfNpnzXi47Y/5hejUvZkkLInjR17M8gtkibXj8ygS/3dtK+zk1a1t9MsMplG4UnUc1upnb2JyIyNWG6RW9zCY7wCVF4hKqYN5HaAlM6Q3Bo2N4Z1kV5PqLV4j4U7N7G5zmbvNrq+U8m1XDIjMnmz3ZusiVlDgiWQsDeBhB0JbNy9EVdgpPM6UXXyb8krOnB563qtCQ/T7dgipVq1ypsd8LPPoFs3b/D14cO915YtgwsvhDff9AZjF5FDEvRClZlNKeu+zrmrSt8rNKlQJSISXGvW7qJTh/r569lhueSEOb7ot57Pz9zA0+OG+hid1ERVrVBVE3KwCsm/XrMSXzo14X/UqWV0qreXDnV30Kr2DppHptA4PIn6bKF29haiMjZgWTsKvzFvgPKCRaiY1mDtIaUjJLWE9XVgne0vQq0FijRDLNAeaAeuvWNzm80kNE9g3tPzmN5nOr80/4Vcy8XZgXl7s9hmhW7RK1iMahLTBLOSz1tEysg5+Phjb1bANWvgrLNg4kQ44wxYvx7atPGKVrGxfkcqUqWUlIOVZzD1JkXWjwNygSWB9Z543c+/KccxRESkmunUvn6h9YjcMCJyYeS8trRNqgtVdlQdkUqjHCzIPu15A2HpG8EFxpJKDyx5A5TXawuxxwaKUa0hrC1saw9bmsG68MK9odYCRTtuRQPtAsuRkNU2i3Wt1pEQl0BC7QTWZKwhYWcCCdsT+G3Hb6TtS/PmbDwNcEAxtaZF1y2iQ1wH6taqG+zLISJFmXlFqVNO8XpUTZgAffpAeLhXxNq6Fa6+Gt54w+9IRaqFwy5UOefOzHtuZncDacCVzrl9gW2xwEvsT5pEREQOkGO5hLsw9tbKZMYZifSmkd8hiYQ05WCH6W8lz6AX1vzEQK+o1t5jVBtIaQMb6xQuQOU9bi7SdiTQFq8Qdbb3uK/tPhKaJJBQNzBO1I4E1uxYQ8L2BH7f9Ts5a3Ly3147ojYd4jrQsWFHhnccnt8jqv619Zk2aBr/rfvfA2bO69O8T3Cvj4iUrlYt+OtfISIC7rwTsrO97enp8NFHMGUKXFUlO7KKhJSgjFFlZpuBYc655UW2xwOznHPNy30Qn+jWPxGRCmCQGZ6DM/i833qWtd3B9Z/2ICYjgqRxabQeV6fYHgQiFaGq3fpXUHXNwSok/zL2z6B37Mtw/BTIivFmzmvxcuFC1Ea8Pmp5woHW5N+eR3twbR0pLVO8XlFh3oDlCTu8XlFrtq9h676thQ7fsHbDwrfmBZ53atiJ5nWaE2ZhJYaumfNEQkyzZt6MgEXFxcH27ZUfj0gVVRG3/hVUBzgCWF5kewsgJkjHEBGR6qIvJHVN82b9c96sf7Mu3kCXexrQ+75GJH6ymxbvx1KrhQb6FSmFcrBDkR3tPX51PZt/Ojswg95cFt4PtMQrRJ1AfkEqp10OG5tsZE30mv2FqEAxKmFTArvXFh71vFW9VnSM68jIziMLjRXVMa4jcbXjDjvs5nWa88zIZxh3/Lj8mfNExEcPPQS33AL79hXevmMHXHstPPAANCl6l7aIlFWwelS9DAwD7gB+CGw+CngE+No5d0W5D+IT9agSEak86Rk5/HxrEke+2JTUOtns/U8WrS6s43dYUs1V8R5VL1MNc7AK61FF8TPorbh2BQl7vJ5QBYtRa3euLXS7XWRYJO3j2hc7cHn7Bu2pHVk7uDGLSOi68EKYMcO77S86Gk4/Hdq1g6ee8gZV/8c/4MYbITLS70hFQlbQZ/0r0nht4F/AVXh36QNk442P8BfnXGq5D+ITFapERCrf8v9tp/7YWrTcGsuyi7bTbWoDwqNLvi1GpDyqeKGqWuZgFZF/ba67mTtPvpPXe71OruWSG5Zb7H51o+qWOIte63qtCQ9TT08RwetN1aPHgbP+rVgBt90GX3zhvf7kk3DyyX5HKxKSKrRQVeAgsUDHwGpC3qCeVZkKVSIi/tizLYvVF++k/+dN+L3tXiLfNFocqWmfJfiqcqEqT3XLwSoi/zr+yuP5tu23ODsw931l9Cv5xagmMU0w0yB5IlIGy5Z5PavefBPi4/dvd84bXP322+G33+Dss+Ff/4IOHXwLVSQUlZSDBfXraefcPufc4sBSpRMkERHxV91GkfT/rAlLn9xOXHIUccfWYuG4FHJzNYCwSFHKwUr35oo3uS7tOqLDo4kKjyr02iW9L+Ho1kfTNLapilQiUnbx8bB0aeEiFYAZnHWWV8h68EH48kuvd9Xf/37guFYicgDdRyEiIiGt5y0NyV6Qy6bOqfSb2Jilx2wnZV2a32GJSBXT/IfmPPfIc6y9bS1j+42ldkTtAwpWIiJBFR0Nd98Nq1bBeed5g6x36wZvvOH1uhKRYqlQJSIiIS+uazTtf6nLypt30OPnOFxfmP9yMsG8fV1EimdmDc3sSzNbHXgsdvo6M7s8sM9qM7u8wPYHzGy9me2tvKhLljeD3m+3/sbYfmPp27yv3yGJSHXXsiVMnw5z5kDTpjBmDBx/PCxc6HdkIiFJhSoREakSLMLo9u84tn+WAVHQ96rGfHvBFnbvziz9zSJSHncBs5xznYFZgfVCzKwhcB9wJDAYuK9AQeujwLaQklewWnid/qMoIpVkyBD46Sd44QVv0PUBA+D66yElxe/IREKKClUiIlKlND2lNg1/rcXvp+7huHdasKVPKr98rQRPpAKNAqYFnk8Dzi5mn1OBL51z251zO4AvgREAzrkfnHObKyNQEZGQFx4OY8fC6tVw663w4ovQuTP8+9+Qne13dCIhIWiFKjM7zcz+Z2bLzax1YNtYMxsWrGOIiIgAhNcPo/2n9dj6bCqtt9Sh02n1+fSvv5OWqQRPap5KyMGaFSg0bQGaFbNPS2B9gfUNgW1lZmbXmtk8M5uXnJx8eJGKiFQVDRrA44/D4sUwcCDccgv07QuzZvkdmYjvglKoMrOLgbeA1UB7IDLwUjjw12AcQ0REpKhmN8QQvsTY0zGL0ya1Yf6xyaxYsd3vsEQqTbByMDObaWZLi1lGFdzPeQPDVcjgcM65yc65gc65gU2aNKmIQ4iIhJ4ePeCLL+D99yE1FU4+Gc49FxIT/Y5MxDfB6lH1V+Aa59ztQMGvs38A+gbpGCIiIgeI6hRO819i2HprKsf83Jz6Q2sx49lEsnJy/Q5NpDIEJQdzzp3snOtZzPIhsNXMWgAEHpOKaWIj0LrAeqvANhERKY0ZnH02LF8OEyfCZ59B9+5w771e8UqkhglWoaozMLeY7XuBekE6hoiISPEioNkTMWR8mUOdsEhO/2Mb/nf+OtZu2u13ZCIVrTJysBlA3ix+lwMfFrPP58BwM4sLDKI+PLBNRETKKjoa7rkHVq2C0aNhwgTo1g3efBM007HUIMEqVG0CuhSz/TggIRgHKM/UyGYWY2Yfm9lKM1tmZg8HIyYREQkttYdFUO/XKHYOz2T0++3ZfWwWH32YSE6ukjuptio8BwMeBk4xs9XAyYF1zGygmb0I4JzbDkwAfg4s9we2YWaPmtkGIMbMNpjZ+CDFJSJSPbVqBa+9Bt98A40awUUXwQknwC+/+B2ZSKUIVqFqMvCUmQ0JrLcOFIkeBZ4L0jHKOzXyP51z3YB+wBAzOy1IcYmISCiJg8afRJP6XBbdNzbg+DFH8N/bVrFlh7rOS7VU4TmYc26bc26Yc65z4BbB7YHt85xzYwvsN8U51ymwTC2w/a/OuVbOubDA4/hgxCUiUu0deyzMmwfPPw/LlkH//nDjjbBtm9+RiVSooBSqnHOPAu/hTUUcC3wNPA8875x7JhjHoBxTIzvnUp1zXwdizQQW4I2dICIi1ZFBzPWRRP4SBu3hyn93Y9FpKXzx/Xqcus5LNVJJOZiIiPglPByuuw5Wr4abboLJk6FzZ3jmGcjWbMdSPQWrRxXOuXuAxng9mY4CmjjnxgWrfYI0NbKZNQDOxOuVVSxNjywiUj1YV6Pewij2/TGLET+2oevZDXju0WXs2Jvhd2giQVMJOZiIiPgtLg6eegoWLYJ+/eDmm70eVrNn+x2ZSNAFpVBlZh+Y2blAdqAb+E/Oub2H0U6FTo1sZhHA68BTzrnfStpP0yOLiFQjURD7VCS5Xziautpcc08PPrhkLd+t2OJ3ZCLlFqwcTEREqoiePWHmTHjnHdi9G048Ec4/H9at8zsykaAJVo+qVLzb8baa2YtmdvzhNFIJUyNPBlY75544nPhERKTqCjvFqL08gqyTc7nyw25Ejgrj2WnL2Jee5XdoIuURlBxMRESqEDM491xYsQLuvx8+/tibHXD8eEjVmJxS9QVrjKo/4N2K90fgCOBLM1tnZg+bWc9gHINyTo1sZhOB+sBtQYpHRESqmiYQ82kEOf/Opf+6xoy5qRPP3LaURWtT/I5M5LBUUg4mIiKhqHZtGDcOVq6Es86Cf/wDunf3eltpTE6pwoI5RtU+59x059zpeONCTQLOABYF6RCHPTWymbUC7gF6AAvMbJGZjS3uICIiUs0ZhN8cRsT8MGq3iuCv/+nHbxfvZvL/VpCRleN3dCKHrBJyMBERCWVt2sCbb3rjVTVo4N0KeNJJsGSJ35GJHJagFarymFk0cBLeDHxdKDy4+WErz9TIzrkNzjlzznV3zvUNLC8GIy4REamiekL0wnCyb8zlnLkdGHbNEUycsIDVm3f5HZnIYamoHExERKqI44+H+fPh2Wdh8WLo29cbdH37dr8jEzkkwRpM3cxsuJlNA7YCzwGbgGHOufbBOIaIiEjQ1YaIZ8LgI2iTUZe/P9yfT2/4nVf/bzU5ubl+RydSKuVgIiJSSEQE3HADrF7tPT73HHTu7D3mBHqOL1vmDcq+bJm/sYqUIFg9qjYDHwB1gCuA5s6565xz3wapfRERkYpzBkQuCyP8OOOWD3vR9oa63PPvn9mwTZOnSchTDiYiIgdq2BCefhoWLoTeveHGG6F/f/jsMzj9dFi+HEaOhH37/I5U5ADBKlSNA45wzp3rnHvfOZcZpHZFREQqRwuI+CIM/gnHrG7GHff14bk7lzHj50ScBiSV0KUcTERESta7N3z1Fbz9NuzcCaedBhs3eoOtb90KV1/td4QiBwjWrH8vOOd2BqMtERER34QBf4awH40GTaKYMGUwqX/O5u///Znk3Wl+RydyAOVgIiJSKjM47zy4+26IjNx/C2B6Onz0EUyZ4m98IkVEHO4bzWwGcIlzbnfgeYmcc2cd7nFEREQqXX8IXxiGu9Vx0ZRO9Fu7k/tW/Mx5F3fE4Xj5619J3pVGk/q1ufLErpzUq6XfEUsNohxMREQOy333QVZW4W2pqfCnP8GVV3oFLZEQUJ4eVdsAV+D5wRYREZGqpQ7YSwZvQec99XnsiSHEHxtH2tXZZG/IxQFJu9J44uMlfLVko9/RSs2iHExERA7dQw9BbGzhbWawaxecfDIsXepPXCJFmMbdOLiBAwe6efPm+R2GiIj46XdwlzjsWyMHR3ZELl/0W89rJ6xhe90MmtavzSu3nOR3lHKYzGy+c26g33HIfsq/REQqyIUXwowZ3m1/0dFw5plw/PEwbhzs3u0Nuv6Pf0BcnN+RSg1QUg4WlDGqzKyNWfH9BM2sTTCOISIi4ps2YF97/8yFY9TKDmfE/Da8/PiJ3PxRPDkbcn0OUGoq5WAiInJIpkyBpk29nlTNmsHUqXDTTfDrr3DttfDMM9C5M0yevH8sK5FKFqxZ/9YCTYpuNLNGgddERESqtvDCq5G5YdTKDmfkvLaMe2+APzGJKAcTEZFDERsLn3wCPXrAxx/vvxWwcWN49lmYPx/i4+G662DQIJgzx994pUYKVqHK2D9WQkF1gPQgHUNERCRk5Ab+2fu90V4mnbOQb1ds9jkiqaGUg4mIyKGJj/fGo4qPP/C1vn1h9mx44w1IToZjj4U//AE2bKjsKKUGO+xZ/wDM7KnAUwc8ZGapBV4OBwYDi8pzDBERkVCSE+nIJpcv+6wnIiacEd+05t53BnFP7k8sOimFa0/pQa3I8NIbEikH5WAiIlJhzLyxrM44Ax55BB59FD78EP72N/jzn72xrUQqUHl7VPUKLAZ0L7DeC+gELACuKOcxREREQkNfCL/GqPV7OGf83I4R/9ca3oO2yXV48aXjWffOXm6d8h2/J+/xO1Kp/pSDiYhIxYqNhfvvhxUrYMQI+PvfvVsGP/gANCmbVKBy9ahyzp0IYGZTgVudc7uDEpWIiEgoWljMttFgPxm1R0cw6b9HMW3br9y8/TtuOi2e4X1aUcI41yLlohxMREQqTfv28O67MGsW3HorjB4Np5wCTzzhFa5Egqxchao8zrkrzSzCzI4B2gBRRV7/bzCOIyIiEpK6Az+BXW5c8UFX+iQ34r7Un1m4NoU/nt6T2FqRfkco1ZRyMBERqTTDhsHChfDcc3DffdC7N/zxj97zBg38jk6qEXNB6LJnZt2Aj4D2eF3Qc/CKYFlAhnOuXrkP4pOBAwe6efPm+R2GiIhUBbnAw+D+7tjZIZM/nfUdroPxt3P60eWIBn5HJyUws/nOuYF+x3E4qmsOpvxLRCTEJSd7twK+8II3Y+CDD8KVV0K4xumUsispBwvWrH9PAPOB+kAq3nfLA/EG8Tw3SMcQEREJbWHA38A+NeK21+LFl06gx5I4bp/6Pe/9uJZgfDkkUsQTKAcTEZHK1qQJ/Oc/MG8edOkC11wDgwfDd9/5HZlUA8EqVA0CJjrn9uF9nxzhnFsA/BX4V5COISIiUjWcCsyD8PZh3PFCH/68uA+TP1vOfW/OY1dqpt/RSfWiHExERPzTvz98+y289hps3QpDh8Ill8DGjX5HJlVYsApVhvctHkAy0DLwfAPezDMiIiI1Swfge7AxxklvtWTqVyewcvlObpj8DYvXbfM7Oqk+lIOJiIi/zGDMGFi5Eu65B95+G7p2hYcegowMv6OTKihYhaqlQJ/A85+AO83seOAfwJogHUNERKRqiQGmA09Ai+9imf7qSXRIqcedr/zA9P/7lZxc3Qoo5aYcTEREQkOdOjBxIixfDiefDH/7G8THw0cfgYY/kEMQrELVA3jf6AH8HW/Wma+B4cAtQTqGiIhI1WPArcAsiNobzoQnB3Hdnh688s1q7pr+Aym70/2OUKo25WAiIhJaOnaEDz6Azz+HqCg46yw47TSvx5VIGQSlUOWc+9w5917g+W/Oue5AY6CZc252MI4hIiJSpR0PzAeLN85+tD3PJx7Lmg27uGHyN/y4eqvf0UkVpRxMRERC1vDh8Msv8PjjMHcu9OoFf/4z7Nrld2QS4oLVo+oAzrntTtMbiYiI7NcK+D/gWmg/pR6vf3kybcPqcu8b8/jPF8vJysn1O0KpBoKdg5lZQzP70sxWBx7jStjv8sA+q83s8sC2GDP72MxWmtkyM3s4WHGJiEgVEBkJt90Gq1fDFVd4RasuXWDKFMhV3iPFs8PNY8xsRln3dc6ddVgHCQEDBw508+bN8zsMERGpbl4EbgJ3hOOtPycwZccqOreoz93n9KNlw1i/o6tRzGy+c26g33GUVWXnYGb2KLDdOfewmd0FxDnn7iyyT0NgHjAQcMB8YACQARzpnPvazKKAWcCDzrlPD3ZM5V8iItXU/Pnwxz96PawGDYKnnoKjjvI7KvFJSTlYeXpUbTuERURERAoaC3wLlm1ceEcnno4awuYdqdz8why+XqopneWgKjsHGwVMCzyfBpxdzD6nAl8GenPtAL4ERjjnUp1zXwM45zKBBXh9C0VEpCYaMAC++w6mT4cNG+Doo+Hyy2HzZr8jkxBy2D2qagp9oyciIhUqCbgA+D9IvSabewf/zJLN2zm1bytuPDWe6KgIvyOs9qpaj6rKZmY7nXMNAs8N2JG3XmCfvwDRzrmJgfVxQJpz7p8F9mmAV6g62Tn3WzHHuRa4FqBNmzYD1q1bVyHnIyIiIWLPHnjwQXjsMW/Q9XHj4NZboVYtvyOTSlIRPapERESkvJoCM4E/QcwLEUyadhRX9ejKF4s2cPOLc/ht626/I5QawMxmmtnSYpZRBfcLjH11yN9ymlkE8DrwVHFFqkDbk51zA51zA5s0aXJY5yEiIlVI3brw0EOwbBmceCLceSf07Akff+x3ZOKzoBWqzOy0wGCZy82sdWDbWDMbFqxjiIiIVEsRwL+A18DmGxf+sRNP9hjCvoxsbnnpO/43fx3qAS0lCUYO5pw72TnXs5jlQ2CrmbUItNsCrx9gURuB1gXWWwW25ZkMrHbOPXGIpyciItVdp04wYwZ8+imEh8MZZ8DIkfDrr35HJj4JSqHKzC4G3gJ+BdoDkYGXwoG/BuMYIiIi1d4Y4AegNnQd04CXwo6nd9tG/PuTpUx8ZwF707P8jlBCTCXlYDOAywPPLwc+LGafz4HhZhYXmBVweGAbZjYRqA/cFqR4RESkOhoxAhYvhn/9C7791utd9de/wu5A7/Jly7xty5b5G6dUuGD1qPorcI1z7nYgu8D2H4C+QTqGiIhI9dcbb+60kyHmtkgemDmIa4d2Z+6vW7lx8res2LDD7wgltFRGDvYwcIqZrQZODqxjZgPN7EUA59x2YALwc2C53zm33cxaAfcAPYAFZrbIzMYGKS4REaluoqLgT3+C1avh0kth0iTo0gUmT4bTT4fly73eVvv2+R2pVKBgFao6A3OL2b4XqBeMA5hZQzP70sxWBx7jStjv8sA+q83s8gLbPzOzX8xsmZk9b2bhwYhLREQk6OKAj4BxYC8b597RgadOOQYM/vTyXN78LoFc3QoongrPwZxz25xzw5xznQO3CG4PbJ/nnBtbYL8pzrlOgWVqYNsG55w557o75/oGlheDEZeIiFRjzZrBSy/BTz9B+/Zw3XWwfj04B1u3wtVX+x2hVKBgFao2AV2K2X4ckBCkY9wFzHLOdQZmBdYLMbOGwH3AkcBg4L4CBa0LnHN9gJ5AE+D8IMUlIiISfOHA/Xg3Wa2GTiMb8J/OxzGkW3OmfLWSv7/2Ezv2ZvgcpISAysjBRERE/DFoEIwd680EmPclXXq6N6bVlCn+xiYVJliFqsnAU2Y2JLDeOtCb6VHguSAdYxQwLfB8GnB2MfucCnzpnNvunNsBfAmMAHDO5U2bFAFEcRgz1oiIiFS6s4CfgCZQe2QE96ztx62n92LJ79u5YfK3LPgtxe8IxV+VkYOJiIj4529/g4wiX86lpcGtt0Jmpj8xSYUKSqHKOfco8B5eYSgW+Bp4HnjeOfdMMI4BNHPObQ483wI0K2aflsD6AusbAtsAMLPP8Waq2QO8U9KBzOxaM5tnZvOSk5PLHbiIiEi5dAV+BEaD/dU4/dE2PH3RUOrWjuRvr/7IlK9Wkp2T63eU4oNKysFERET889BDEBtbeFt4OOzdC716ebMFSrUSrB5VOOfuARrj3XJ3FNDEOTcub5rksjCzmWa2tJhlVJFjOQ6jR5Rz7lSgBVALOOkg+012zg10zg1s0qTJoR5GREQk+OoCbwOPAO9A27Pq8vTxQzm1X2ve/C6BO/77A1t3pvocpPghGDmYiIhIyLrqKm8A9ehobz06Gs47Dz7+2Lsd8PTT4cwzYc0af+OUoAlaoQrAOZcaGFjzJ6COmT2DN11yWd9/snOuZzHLh8BWM2sBEHhMKqaJjUDBpKxVYFvBY6TjjfhRqPglIiIS8gxvjrfPgE1Q65hwbqc3d4/uR2LSHm584VvmrNhcSiNSHZU3BxMREQlpU6ZA06Zgtn+g9dNPh6VL4dFHYfZsiI+Hu+6CPXv8jlbKqVyFKjNrYGavmlmymW0ys1vMcx/wG96g5lcFJVKYAeTN4nc5XrGpqM+B4WYWFxhEfTjwuZnVKVDkigBGAiuDFJeIiEjlOgWYD3QAzoQT3j2CZ64eyhFxsUx4ZwFPf7qUzOwcn4OUilTJOZiIiIi/YmPhk0+gRw+vJ1XerYBRUXDHHfDrrzBmDDzyCHTtCq+8ArkaFqGqKm+PqgfxZpWZBmwHHscrKB0PnBa4fe71ch4jz8PAKWa2Gjg5sI6ZDTSzFwEC0yVPAH4OLPcHtsUCM8xsMbAIrzfW80GKS0REpPK1A74DLgPGwxFXxvLY6GM496j2fDRvHbe89B2/p+z1NUSpUJWZg4mIiPgvPt7rQRUff+BrLVrAyy/DDz9Aq1Zw2WUwdCjMm1fpYUr5mXOHP/mdma0DrnbOzTSzDsAa4Cnn3G1Bis93AwcOdPP0wy0iIqHKAc8CtwHtgffgp1pJ/HPGL6Rn5XDzafGc0rsVZuZrmKHMzOY75wb6HcehqO45mPIvERE5bLm58N//ercBJiV5Y1w9+KB366CElJJysPL2qDoCWA7gnPsNSAdeKGebIiIiUlYG3ATMxpvT9igYvLApz15zLF2PqM+/Zizm0Q8W8enC37n0qa8YMeFjLn3qK75asvGgzUrIUw4mIiJSnLAwuOIK73bAP/8Zpk2Dzp3h8cchK8vv6KQMyluoCgMKftI5gKYcEhERqWxD8Mat6gNcCI0nRPPwRUdx2fFd+GrpJp783xKSdqXhgKRdaTzx8RIVq6o25WAiIiIHU68eTJrk3S54zDHwpz9B797wxRd+RyalKG+hyoDpZjbDzGYA0cALeesFtouIiEhFOwL4GrgR+CeEn2Zc3L0zDWKjKHqjf0ZWDlO/XlX5MUqwKAcTEREpi65dvYHYP/oIsrPh1FNh1ChISPA7MilBeQtV04BNwLbAMh1YX2A9bxEREZHKEAU8A0zFG2x9IDT9tXaxuybvSqvEwCTIlIOJiIiUlRmccYbXu+rhh+Grr7wZBP/2N9iryWdCTUR53uycuzJYgYiIiEgQXQH0As6BJ/8zhMXttvHI+YvYXjcjf5eGdWr5FZ2Uk3IwERGRw1CrFtx5J1x6qTfY+kMPeWNYPfoo/OEPXkFLfFfeHlUiIiISqgYA8yAMo29iY6b/8yRu+bAnDfd4BardaZl8v2qLvzGKiIiIVLYjjvBmBvz+e+/5JZfAscfCggV+RyaoUCUiIlK9Ndn/NNyFcdr8Nkx7/ESeWzSUPlGN+Mdb85kyayU5ubn+xSgiIiLih6OPhh9/hJdegtWrYeBAuPZaSE72O7IaTYUqERGRGiQMIyo7nA7v12fCjMGc3r8Nb36fwN9e+4md+zJKb0BERESkOgkLg6uugl9/hdtvh6lToXNnePJJyMoq/f0SdCpUiYiI1CSRgccoCPurcevIXvzpzN4s+30HN704h5Ubd/ganoiIiIgv6teHf/0LFi+Go46C226Dvn1h5ky/I6txVKgSERGpCaKA2sA1eLMBtgbOA96GU/u25vErjyE8zPjzy3P53/x1OOf8jFZERETEH927w6efwowZkJ4Op5wC55wDa9f6HVmNoUKViIhIddcXGAv8BjwDHAPMxRts/QLgUejcvD5Pjx1Kvw6N+fcnS/nnjF9Iz8rxLWQRERER35jBmWfCsmXw4IPwxRdeAWvcONi3z+/oqj0VqkRERKq7hXgFquYFtjUGZgEXAncCN0C9yCjuv2gQlx7XmVmLN3L71O/ZtF3JmIiIiNRQ0dFw992wahWcdx5MnAjdusEbb4B6n1cYFapERERqqmjgNeAu4D/AGRC2x7jk+C5MGDOIpF1p3PziHH74dau/cYqIiIj4qWVLmD4d5syBpk1hzBg4/nhYtMjvyKolFapERERqsjDgIWAyMBM4FtgAgzo15ZmxQ2kRF8N9b85j2teryMnVN4ciIiJSgw0ZAj/9BC+8ACtWwIABcMMNkJLid2TVigpVIiIi4g2y/gmwFjgSWATN42J47IpjGN6nFa/NWcO4139id2qmr2GKiIiI+Co8HMaOhdWr4ZZbvKJV587w739Ddrbf0VULKlSJiIiIZzjejIDheD2rPoFakeH86cze3DqyF4vXbefmF+fw66advoYpIiIi4rsGDeDxx2HxYhg40Cta9esHX33ld2RVngpVIiIisl8v4AegM3Am8ByYGaf3b8O/rjgaB/zp5bl8uvB3X8MUERERCQk9enizAr7/vjcj4LBh3sDriYn791m2DHr29B6lVCpUiYiISGFHAN8ApwE3An8BcqHrEQ14euxQerVtyBP/W8JjH/1CRlaOr6GKiIiI+M4Mzj4bli/3Zgb89FPo3h3uuw+Sk+H0073XRo70illyUCpUiYiIyIHqAB8ANwH/As4HUqF+TBQTxwzmD0M78fmiDfzp5e/ZsjPVz0hFREREQkN0NNxzD6xaBaNHw/33Q9u2sHkzOAdbt8LVV/sdZchToUpERESKFwH8G3gMeB84CUiC8DDj8hO78o8LB7J5Ryo3vziHn9ck+RqqiIiISMho1Qpeew3uvBMyMiAry9ueng4ffQRTpvgbX4hToUpERERKZsDtwLvAYuAoYKX30lFdmvHvsUNpXDeaca//zPRvVpPrnG+hioiIiISUqVMhN7fwttRUr4AlJVKhSkREREo3GpgN7AOOBv7P29yyYSxPXDWEk3q15JX/+5X73viZ3WmZvoUpwWdmDc3sSzNbHXiMK2G/ywP7rDazywts/8zMfjGzZWb2vJmFV170IiIiPnroIYiNPXB7aio8+yxkZ1d+TFWAClUiIiJSNoPxZgRsAZwCTPc2R0eGc8eoPtx8Wk8W/JbCH1+cw5rNu/yLU4LtLmCWc64zMCuwXoiZNQTuA47E+0m5r0BB6wLnXB+gJ9AEb8QzERGR6u+qq7wB1KOjvfXoaBgxAo46Cm66Cfr3h9mzfQ0xFKlQJSIiImXXHvgOGApcCvwDcGBmnDmwLf+8/Giycx23v/w9X/yy3tdQJWhGAdMCz6cBZxezz6nAl8657c65HcCXwAgA59zuwD4RQBSg+0NFRKTmmDIFmjb1ZgZs1gzeeQdmzoR334Xdu+HEE+GCC2DdOr8jDRkqVImIiMihiQM+Ay4DxgNXAIG7/bq3iuOZsUPp0SqOf81YzJMfLyEzO8enQCVImjnnNgeebwGaFbNPS6BgZXJDYBsAZvY5kATsAd4p7iBmdq2ZzTOzecnJyUEJXERExHexsfDJJ9CjB3z8sbduBuecAytWeDMD/u9/0K0b/OMfkJbmd8S+U6FKREREDl0U8DJej6r/4vWd2eG91CC2Fg9ePJgLj+nIJwt+58/T5pK0S0lXKDOzmWa2tJhlVMH9nHOOw+gR5Zw7Fe+m0Vp480cWt89k59xA59zAJk2aHM5piIiIhKb4eFi61HssqHZtGDcOVq6EUaNg/Hjo3t3rdVWDJ6hRoUpEREQOjwH3Aq8Ac4BjgLXeS+FhYVw1rBv3nT+ADdv2cdML3zL/N/WSCVXOuZOdcz2LWT4EtppZC4DAY1IxTWwEWhdYbxXYVvAY6cCHeLcSioiISJ42beCNN7zxqurXh/PPh2HDYMkSvyPzhQpVIiIiUj6X4I1ItBU4Cvhp/0vHdGvOv68eQlydWtzz6k+8PmcNuTX4G8IqagaQN4vf5XjFpqI+B4abWVxgEPXhwOdmVqdAkSsCGAmsrISYRUREqp7jj4f5870ZAX/5Bfr2hT/+EbZv9zuySqVClYiIiJTf8cD3QCxwAvD+/pdaNarDU1cN4fj4I3j561X848157E3P8iVMOSwPA6eY2Wrg5MA6ZjbQzF4EcM5tByYAPweW+wPbYoEZZrYYWITXG+v5Sj8DERGRqiIiAm64AVav9h6ffRa6dIHnn4ecmjHuZ5UpVJlZQzP70sxWBx7jStjv8sA+q83s8mJen2FmSys+YhERkRqmG/AD0Bs4F3iM/NGMoqMiuGt0X248tQc/JyRz84tz+G3r7hKbktDhnNvmnBvmnOscuEVwe2D7POfc2AL7TXHOdQosUwPbtjrnBjnnegduJfyjcy7br3MRERGpMho2hKefhoULoVcvr2g1YAB8843fkVW4KlOoAu4CZjnnOgOzAuuFmFlD4D7gSGAwcF/BgpaZnQPsrZxwRUREaqCmwNfAOcCfgZuBQFnCzBg1uD2TLjuKjKwcbpvyHbMWb/AtVBEREZGQ17s3fPUVvP027Njh3R540UWwfn3p762iqlKhahQwLfB8GnB2MfucCnzpnNvunNuBN2LGCAAzqwP8CZhY8aGKiIjUYLWBt4C/AM/i/Ytd4Gui+NYNeeaaoXRt2YBHP/yFpz9dSlZOrh+RioiIiIQ+MzjvPFixAu67Dz78ELp2hQkTIK36zaxclQpVzZxzmwPPtwDNitmnJVCwrLghsA28cRP+BaSWdiAzu9bM5pnZvORkzVAkIiJyyMKASXiFqk+B44BN+19uWCeahy85kvOO7sBH89Zxx7S5JO+ufomWiIiISNDExMD48bByJYwcCffeCz16wHvvQTWarCakClVmNtPMlhazFJrG2DnnyB/1okzt9gU6OufeL23fQPuTnXMDnXMDmzRpckjnICIiIgXcAHwErMa7Mb/ALMvhYWFcc3J3/n5ufxKT93DTC3NYlJjiT5wiIiIiVUXbtt6tgF99BXXqwLnnwimnwLJlfkcWFCFVqAoM0NmzmOVDYGuB6Y1b4M0aU9RGoHWB9VaBbUcDA80sEZgDdDGz2RV5LiIiIhJwOvAtkAsMAb4o/PKxPVrw1NVDqR8Txd3Tf+St7xNw1ehbQREREZEKceKJ3mDrTz8NCxZAnz5w663eWFZVWEgVqkoxA8ibxe9y4MNi9vkcGG5mcYFB1IcDnzvnnnPOHeGcawcMBX51zp1QCTGLiIgIQF/gR6A9XuHqhcIvt2lchyevGsKQbi14adZKJrw9n30ZWZUepoiIiEiVEhEBN90Ev/4K117rFa26dIHJkyEnx+/oDktVKlQ9DJxiZquBkwPrmNlAM3sRIDBd8gTg58Byf94UyiIiIuKzVng9q04BrgXuxutlFRBTK4J7zu3Htad0Z+6vSdzy4ne8+d0aLn3qK0ZM+JhLn/qKr5Zs9CV0ERERkZDWuDE8+yzMn++NW3XddTBoEMyZ43dkh8zUtf7gBg4c6ObNm+d3GCIiItVHNnAz8B/gAry5fKML77Jk3TbufeNnUjMLfxNYKzKc20b24qReLQkWM5vvnBsYtAal3JR/iYiIlINz8NZb8Je/wIYNMGYMPPootGrld2SFlJSDVaUeVSIiIlIdRADPAY8CbwHDgCJjqPdq24iYWpEHvDUjK4epX6+q+BhFREREqiozuPBCb3bAceO8WQG7doUHHoD0dL+jK5UKVSIiIlL5DLgDr1A1H2/ak9WFd9m2p/hEKnlXWsXGJiIiIlIdxMbC/ffDihUwYgT8/e/ebYEffOD1ugpRKlSJiIiIf84HvgZ2Akfhzc0b0KR+7WLfUtJ2ERERESlG+/bw7rswcybExMDo0XDqqbB8ud+RFUuFKhEREfHX0cAPQGO82wBf9zZfeWJXakWGF9q1VmQ4V57YtZIDFBEREakGhg2DhQvhySfh55+hd2+4/XbYudPvyApRoUpERET81xGYCxwJ/AF4EE7q2ZLbRvaiaf3aGNC0fu2gD6QuIiIiUqNERsItt8Cvv8LVV3tFqy5d4MUXISen9PdXAhWqREREJDQ0BL7EK1TdA4yFk7q15JVbTuKzcSN55ZaTVKQSERERCYYmTeA//4F587xC1TXXwODB8N13+/dZtgx69vQeK5EKVSIiIhI6agHTgXHAFKA9oEn+RERERCpG//7w7bfw2muwdSsMHQqXXAKrV8Ppp3vjWI0cCfv2VVpIKlSJiIhIaDHg/sDzjUB34FJgs28RiYiIiFRfZjBmDKxcCffcA2+/Dd27w6ZN3uyAW7d6twlWEhWqREREJLQ54FWgA3AjKliJiIiIVIQ6dWDiRLg/8I1hdrb3mJ4OH30EU6ZUShgqVImIiEjoc0A68B/gIp9jEREREanOHnvswIHVU1Ph7rsr5fAqVImIiEjoiwJqA9cDb/oci4iIiEh19tBDEBtbeFtMDDz8cKUcXoUqERERCV15BaqxwG/AM0BzXyMSERERqd6uusobQD062luPjoYzz4Qrr6yUw6tQJSIiIqGpLypQiYiIiPhhyhRo2tQbaL1ZM3jppUo7dESlHUlERETkUCz0OwARERGRGio2Fj75BC68EN5888BbASuQClUiIiIiIiIiIlJYfDwsXVrph9WtfyIiIiIiIiIiEhJUqBIRERERERERkZCgQpWIiIiIiIiIiIQEFapERERERERERCQkqFAlIiIiIiIiIiIhQYUqEREREREREREJCSpUiYiIiIiIiIhISDDnnN8xhDQzSwbWlXH3xkBKBYZT1en6lE7X6OB0fUqna1Q6XaODq4nXp61zronfQch+h5h/lVdN/JkvSOev86+p51+Tzx10/jr/0Dj/YnMwFaqCyMzmOecG+h1HqNL1KZ2u0cHp+pRO16h0ukYHp+sjNU1N/5nX+ev8a+r51+RzB52/zj+0z1+3/omIiIiIiIiISEhQoUpEREREREREREKCClXBNdnvAEKcrk/pdI0OTtendLpGpdM1OjhdH6lpavrPvM6/ZqvJ51+Tzx10/jr/EKYxqkREREREREREJCSoR5WIiIiIiIiIiIQEFapERERERERERCQkqFBVBmY2wsxWmdkaM7urmNevN7MlZrbIzOaYWY/A9kgzmxZ4bYWZ3V350VeOclyjKDObGnjtFzM7obJjrwylXZ8C+51rZs7MBhbYdnfgfavM7NTKibjyHe41MrNGZva1me01s6crL+LKVY7rc4qZzQ/8js03s5MqL+rKVY5rNDjwt2lR4O/Q6MqLunKV529RYHubwO/aXyo+WpHgKkOucpyZLTCzbDM7z48YK1IZzv9PZrbczBab2Swza+tHnBXhcPPU6qK8f/urujJ8/leYWXKBXGCsH3FWlLJ8/mZ2QeD3f5mZvVbZMVakMnz+jxf47H81s50+hFkhynDubQL/j1oY+Nt/uh9xFss5p+UgCxAOJAAdgCjgF6BHkX3qFXh+FvBZ4PkfgDcCz2OARKCd3+cUYtfoJmBq4HlTYD4Q5vc5Vfb1CexXF/gG+AEYGNjWI7B/LaB9oJ1wv88pxK5RLDAUuB542u9zCcHr0w84IvC8J7DR7/MJwWsUA0QEnrcAkvLWq9NSnmtU4LV3gLeBv/h9Plq0HMpSxlylHdAb+C9wnt8x+3D+JwIxgec3AG/6HXclnnuxeWp1WILxt78qL2X8/K+oyTkk0BlYCMQF1pv6HXdlnn+R/f8ITPE77kr87CcDNwSe9wAS/Y47b1GPqtINBtY4535zzmUCbwCjCu7gnNtdYDUWyBuh3gGxZhYB1AYygYL7VhfluUY9gK8C+yQBO4Fq9S0OZbg+AROAR4D0AttG4RU7M5xza4E1gfaqm8O+Rs65fc65ORS+btVNea7PQufcpsDqMqC2mdWq6IB9UJ5rlOqcyw6sRrP/71N1U56/RZjZ2cBavJ8jkaqmLLlKonNuMZDrR4AVrCzn/7VzLjWw+gPQqpJjrCjlyVOrg3L97a8Gynr+1VVZzv8a4Bnn3A7I/z9ZdXGon/8Y4PVKiazileXcHVAv8Lw+sIkQoUJV6VoC6wusbwhsK8TMbjKzBOBR4JbA5neAfcBm4Hfgn8657RUbri/Kc41+Ac4yswgzaw8MAFpXcLyVrdTrY2b9gdbOuY8P9b3VRHmuUU0QrOtzLrDAOZcR/BB9V65rZGZHmtkyYAlwfYHCVXVy2NfIzOoAdwL/qOggRSpITfn3tCSHev5XA59WaESVpzx5anVQ03Ossv7snxu49ekdM6tO/xcpy/l3AbqY2Xdm9oOZjai06Cpemf/2BW53bk+gE0U1UJZzHw9cYmYbgE/wepSFBBWqgsQ594xzriNeIv/3wObBQA5wBN4P/Z/NrINPIfquhGs0Be+XZh7wBPA93jWrMcwsDHgM+LPfsYQqXaODK8v1MbN4vG9Kr6usuEJJadfIOfejcy4eGATcbWbRlRlfKCjlGo0HHnfO7a3UoESk0pnZJXi92yf5HUtlKiFPrfaUYwHwEd7wLL2BL4FpPsdT2SLwbv87Aa9H0Qtm1sDPgHxyEfCOc64m/V90DPCyc64VcDrwSuBvgu9CIogQt5HCPXxaBbaV5A3g7MDzP+Dd454V6EL5HdXvtjYoxzVyzmU75253zvV1zo0CGgC/VlCcfint+tTFGztotpklAkcBMwIDWR7qta2qynONaoJyXR8zawW8D1zmnEuolIgrX1B+hpxzK4C9gX2rm/JcoyOBRwPbbwP+ZmY3V0LMIsFSU/49LUmZzt/MTgbuAc6qRr1vy5PLVwc1Pccq9fN3zm0r8PP+It4dHtVFWX7+NwAzAv9nXYv3f7HOlRRfRTuU3/+LqD63/UHZzv1q4C0A59xcvCEwGldKdKXxe5CsUF/wKsy/4fWIyhuELL7IPp0LPD8TmBd4fif7BwqPBZYDvf0+pxC7RjFAbOD5KcA3fp+PH9enyP6z2T/IczyFB1P/jeo5mPphX6MC266g+g6EWZ6foQaB/c/x+zxC+Bq1Z/9g6m3x7s9v7Pc5hdI1KrJ9PBpMXUsVWw7l5x94meo3mHpZcrV+eAPvdvYjRp/Pvdg8tToswfrbX1WXMn7+LQo8Hw384HfclXz+I4BpgeeN8W4Xa+R37JV1/oH9uuFNfGZ+x1zJn/2nwBWB590DOXBIXIMI5KCcc9mBb40/xxs5f4pzbpmZ3Y/3j9gM4ObAN1BZwA7g8sDbnwGmBsY9Mbyi1eLKP4uKVc5r1BT43Mxy8Sq8l1b+GVSsMl6fkt67zMzewityZgM3uWrYHbU81wgg8A1gPSAqMODzcOfc8goOu9KU8/rcDHQC7jWzewPbhrvqNVBmea/RUOAuM8vCG0T5RudcSsVHXbnK+3smUpWV5effzAbh9T6NA840s38475bgKq+Mv/+TgDrA22YG8Ltz7izfgg6ScuapVV5N/9tfxvO/xczOwsu1t+N9+VktlPH8PweGm9lyvCFY7nDObfMv6uA5hJ//i/AmsKo2EymU8dz/jHer5+14A6tfESrXwEIkDhERERERERERqeE0RpWIiIiIiIiIiIQEFapERERERERERCQkqFAlIiIiIiIiIiIhQYUqEREREREREREJCSpUiYiIiIiIiIhISFChSqSSmdkVZuYKLJlmlmBmD5pZ9GG0d0KgnRMO473jzeykYra/bGaJh9peRTCzRDN7uQLbd2Y2/jDed4WZXVXCdmdm7YIR3yHEM9vMZgehnaI/nyUt48sRZ14bL5dh/xcL7D/ncI4pIiKi/OvQKP8qczxByb+KtFdc3rUhSO0X+j0ow/5Di8TRKRhxiJQmwu8ARGqw84ENQF1gNHB34PkfKzGG+4AHgK+KbJ8APFmJcfjpaLzP4VBdgfc3dEqR7R8H2txcvrAO2Y1Baicv/jz9gWeAW4CfC2wvT8K0EC/e5DLs+yDwIvBsOY4nIiKSR/lXaFD+VbLFwHVFtmUE+RjnULZr9QvedR0J/D3IMYiUSIUqEf8scs6tCTz/0sw6A1eZ2a3OuVw/A3POJfh5/MrknPshyO0lU7YCTFA555YHqZ1C8Rf4lnlFEK/V7rK25Zz7DfjNzHajf7NERKT8lH+FAOVfB7Un2NenGAudc4ml7eSc2wP8YGbdKjgekUJ0659I6FgAxACN8zaYWYyZPWJmawNd1Nea2T1mdtDfXTMbbmafmNlmM0s1s6Vm9mczCy+wT15333uK3s5VsOu5mdUys+1m9lgxx7kg8L5+BbYdb2azzGyPme0zs8/NrGdZLoCZ3Rroap5uZvPM7NgS9mtvZq+aWbKZZZjZIjMbXeD18wNx9S7mvZ+Y2S8Fr0PBrudm1snMXglc6zQz+83MnjOzuAL7zAaOB4YUuHazA68d0PXczCLNbGLg3DIDjxPNLLLAPu0C77vOzO4PfHY7zewjM2tVhmtXqOt5gVsSzjKzp80sJbBMN7MGpbVXyrEGmdk7ZrYhcI1WmXfrRO3ytCsiIuID5V/Kv6pE/lXgGC8HcrB+ZvZt4GdttZldH4z2RUKBClUioaMdsAvYBmBmEcDnwFi8buCn4d0CNQ6YVEpbHYBZwFV4XXWnAePxupnnybu96+XA86MD7RfinMsA3gLGFEy0Ai4FljrnFgZiHhk47l7gEuAPeN3pvzWz1gcL2MyuBp4AvgbODsT1OhBXZL/WwI9AH+B24Cy8JPNdMzsrsNtHeNfykiLvbQYMB/57kFCOANYDtwGnAvcDw4BPCuxzI97ta4vZf+0O1vV7GnBX4LhnBM7tzsD2ou4GOuF9drcG2p5+kLZL8yTg8D6LfwDnUv7bCtoAi4DrgRGB9q4CppazXRERkcrWDuVfT6D8K6TyLzOLKLJYkV3qAa8FYhyFNzzDc2Z2YjliFgkdzjktWrRU4oJ3b70DuuLdyhSH949iNnBzgf0uDex3XJH33wNkAk0D6ycE9juhhONZ4Dj3ADuAsAKvOWBiMe95GUgssD4ksO+pBbY1AbKAvxbYtgaYVaStekAK8MRBrkkYXnLyWZHtFwaO+3KBbS/hde1uVGTfL/G68+etv4A39kHB870tcJ1bFLkG4w8SWwQwNLBfvwLbZwNzDvL5tgus9yzuGHj3+Tugd2C9XWB9dpH9/hLYfkQpP1ezC763wM/FtCL7PQ2kA1bGn9e8dk4u5efrEiC36OdSWpyH8HtT7PXWokWLFi1ayrKg/Ku4GJV/hVj+FWjPFbOMLfJz4oATC2yrhVdsnVzG34N2h/n706kifj+1aCm6qEeViH9W4iUa2/H+8f+Pc+7pAq+PANYB3xf8RgX4AogEjiqpYTNrYWb/MbN1eElVFjARaAA0PdRAnXPfAQl4yVuei/ASnFcDx+wMdAReLRJvKjAXOO4gh2gVWN4qsv1dvMSmoBF4367tKnKcz4E+ZlYvsN9/gZZAwVl1LsVL5EocPNLMoszsb2a20szS8K7dt4GXux7kHEqSd95Fv5XLWz++yPZPiqwvCTy2OYxjgze4aNH2agHNDrM9zKyeebdEJOAN7pkFvIKXlHc+zDYjinyeIiIiFUH5137Kv/YLpfzrF2BQkeWDIvukOue+zltxXg+8Xw83XjMLL5KLqU4gvtIPoIh/RuP9w3M6MBO40cwuK/B6U6At3j/UBZefAq83Kq7RwD8sM/C6OE/ESxQGsb/b+SFPwRwwHTjbzGID65cCXznnNhaIF7ykr2jMZ5QUb0CLwOPWghudc9kEuuIX0BS4rJhj5HXHzzvOHCAxECdm1h1vBruDdTsHeAivm/50vG77g/FmRoHDu3YNA49Fk7MtRV7Ps73Iet4sL4f7uQW7PfBu8bseeAo4Be/n66bDbTcwnkShz9MqeXppERGpMZR/7af8a79Qyr/2OufmFVlSiuyzo5j3ZZSx/eLMovDneu9htiMSFPrWWsQ/S11g1hkz+wrvfvtJZvauc24fXoKwFrighPcnlrC9IzAQuNQ5l/8tkpmdWc54X8GbTvkcM/sRL/m6vMDreQnN3XiJX1GZB2k7L4ko9C1T4Ju6ognWNrxv2B4poa1NAM45Z2bTgdvM7Aa8hGkv8P5B4gDvm8r/OucmFoijTinvOZi8RKU53reiFFgv+HqVYN4sgKPwutI/WWB7r3I0uwnv56noNhERkWBT/rWf8i/Jcx3euGZ5lIeJr1SoEgkBzrkMM7sD+BBvUMhJwGd4Ay/udc6tPITmYgKPWXkbzJvd5OJi9s0EyjRTm3Muwcy+x0s4ugD7gPcK7LIKL3mLd849fAjxgjeWwXq8pHBKge3ncuDfqc/wBrhc5pxLK6XdV/DGIjgH7/zfc86llvKeGApcu4Ari9kvg8L/oJfkm8DjRRQeTDXv85hdhjZCSS0gnAOv0RWH26BzLhOYV46YREREDpnyL+Vf4nHOrfI7BpGCVKgSCRHOuRlm9jPwZzN7Gm/sgSuBWWb2L7z71aPwvrE7Czi7hH/0V+CNrfCAmeXg/aN/ewmHXQ6MNLPP8LoQb3LOHewblFeAZ4BewPvOub0F4ndmdhPwoZlF4Y13kIL3Ld0xwO/OuQOmWA68N9fM/gG8aGZTgTfwZl65C9hdZPd78brffxO4Tol4A6L2BDo4564q0O6vgW8fH8YbL6G0bufgJWKXm9kSvMFJzwnEX9RyvNsFLsT7pm5Pcf/IO+eWmtnrwPjAN5Tf4yV644DXnXNLir4nlDnndpnZD3g/p5vxPuOr8K6viIhIlaL8S/mXiIQejVElElr+jpdYXO+cy8KbnvcF4Fq8QR5fxevu/T0ldOUO9E45G+8e/P/iJTbf4CULRd2M983cR3jT2l5bSnxv4g2u2RwvaSp67E/wBq+MxZtq+XPg0cD+cw/WsHPuJbxZYU7C+2bzSmAMRe7Bd879jte1/hfgQbzZZp7DGxTzq2KafgUvSdqIN/Vyaf6IN8bEA3jnWzcQR1GP4N3P/yLetfvPQdq8IrD/VXif49WB9csP8p5QNgaYj/ez9TLez9qtfgYkIiJSDsq/lH+JSAgx55zfMYiISA1hZrPxZgccBuQ653JL2T8M70uVWUC4c25ohQcpIiIiUg2Z2RV4k+J0AtYFBs4v7T0ReAPpvwR0zhvjTaQiqUeViIhUtuPwbomYUtqOwOTAvgebXltEREREym4NB44JdgAzGxrY76UKj0ikAPWoEhGRSmNmXdk/CGqKcy6xlP3bAk0Cq8WOQyEiIiIipTOzRkD7vHXn3EEnswnMvNitwKYlzrmMCgpPJJ8KVSIiIiIiIiIiEhJ065+IiIiIiIiIiIQEFapERERERERERCQkqFAlIiIiIiIiIiIhQYUqEREREREREREJCSpUiYiIiIiIiIhISFChSkREREREREREQoIKVSIiIiIiIiIiEhJUqBIRERERERERkZCgQpWIiIiIiIiIiIQEFapERERERERERCQkqFAlIiIiIiIiIiIhQYUqEREREREREREJCSpUiYiIiIiIiIhISFChSkREREREREREQoIKVSIiIiIiIiIiEhJUqBIRERERERERkZCgQpWIiIiIiIiIiIQEFapERERERERERCQkqFAlIiIiIiIiIiIhQYUqEREREREREREJCSpUiYiIiIiIiIhISIjwO4BQ17hxY9euXTu/wxAREZEKMn/+/BTnXBO/45D9lH+JiIhUfyXlYCpUlaJdu3bMmzfP7zBERESkgpjZOr9jkMKUf4mIiFR/JeVguvVPRERERERERERCggpVIiIiIiIiIiISElSoEhERERERERGRkKAxqkREqqisrCw2bNhAenq636GIVAnR0dG0atWKyMhIv0MREZEqTDmYyKE51BxMhSoRkSpqw4YN1K1bl3bt2mFmfocjEtKcc2zbto0NGzbQvn17v8MREZEqTDmYSNkdTg6mW/9ERKqo9PR0GjVqpARJpAzMjEaNGunbbxERKTflYCJldzg5mApVIiJVmBIkkbLT74uIiASL/k0RKbtD/X1RoUpEREREREREREKCClUiIiIiIiIiIhISNJi6iIiIhKYdv0Bu1oHbwyIhrk/lxyNV23vNIX3rgdujm8E5Wyo/HhERESmWelSJiMhhO/HEE/n8888LbXviiSe44YYbyt32McccU+42QsX48eP55z//Wep+derUqYRoqpDiilQH2y5yMMUVqQ62XUQkhCkHKxvlYFWTelSJiNQQXy3ZyNSvV5G8K40m9Wtz5YldOalXy3K1OWbMGN544w1OPfXU/G1vvPEGjz76aKnvdc7hnCMsrPjvTL7//vtyxSYiIiISCpSDiRwa9agSEakBvlqykSc+XkLSrjQckLQrjSc+XsJXSzaWq93zzjuPjz/+mMzMTAASExPZtGkTxx57LGeffTYDBgwgPj6eyZMn57/etWtXLrvsMnr27Mn69eu59957eeKJJ/LbvOeee3jyySfzv9lKTEyke/fuXHPNNcTHxzN8+HDS0tLy958wYQJdu3Zl6NChjBkzpthvzVasWMFxxx1H7969mTRpEp06dSr13BITE+nWrRtXXHEFXbp04eKLL2bmzJkMGTKEzp0789NPPwHw2GOP0bNnT3r27FnoPB544AG6dOnC0KFDWbVqVaG2p0+fzuDBg+nbty/XXXcdOTk55Y7jYO2W9Fkc7Lr6LmuP3xGIiIiUm3Iw5WBVLgcLAepRJSJSDTz3+TJ+27q7xNdXbNhJVk5uoW0ZWTk89tFiPl34e7Hv6dCsHjecGn/Q4zZs2JDBgwfz6aefMmrUKN544w0uuOACzIwpU6bQsGFD0tLSGDRoEOeeey4Aq1evZtq0aRx11FEAXHXVVZxzzjncdttt5Obm8sYbb/DTTz9xzz335B9n9erVvP7667zwwgtccMEFvPvuu1xyySX8/PPPvPvuu/zyyy9kZWXRv39/BgwYUCjG7OxsLr74Yl566SX69evHDTfcQM+ePQ96XnnWrFnD22+/zZQpUxg0aBCvvfYac+bMYcaMGTz44IOMGzeOqVOn8uOPP+Kc48gjj+T444/PP49FixaRnZ1dKK4VK1bw5ptv8t133xEZGcmNN97Iq6++ymWXXXbYcXzwwQcHbfdgn0Vx19VX2amQthEyd/kbh9QszoGmmheRw6AcTDlYtcnBQkjIFqrMbATwJBAOvOice7jI67WA/wIDgG3Ahc65xMBrdwNXAznALc65zwPbGwAvAj0BB1zlnJtbGecjIuKnoglSadsPRV7X87wk6aWXXgLgqaee4v333wdg/fr1rF69mubNm9O2bdv8BAmgXbt2NGrUiIULF7J161b69etHo0aNCh2jffv29O3bF4ABAwaQmJgIwHfffceoUaOIjo4mOjqaM88884D43nvvPfr06UO/fv0A6NGjB02bNi3TubVv355evXoBEB8fz7BhwzAzevXqRWJiInPmzGH06NHExsYCcM455/Dtt9+Sm5vL6NGjiYmJAeCss87Kb3PWrFnMnz+fQYMGAZCWllZqPKXFUVq7JX0WJV1XX+RkeAWqjO1g4RDTElLL922zSJl9fSocNQViWvkdiYhUM8rBlIOFfA4WgkKyUGVm4cAzwCnABuBnM5vhnFteYLergR3OuU5mdhHwCHChmfUALgLigSOAmWbWxTmXg1f4+sw5d56ZRQExlXhaIiIVprRv3S596iuSdh3Ypbhp/dpMuuzoch171KhR3H777SxYsIDU1FQGDBjA7NmzmTlzJnPnziUmJoYTTjiB9PR0gPyEoqCxY8fy8ssvs2XLFq666qoDXq9Vq1b+8/Dw8EPqHr148eL8RABg6dKljBgxgvXr13P//fdTv359RowYwcknn3zQ44aFheWvh4WFkZ2dXeYYCnLOcfnll/PQQw+V+T1liaOkdg/2WZTnugZNbhakbYaMZG+9dnOIbg5hEZCeVPKsfyKHKrpZ8QOnR9SD5O/g414w6BloO0a9q0SkzJSDlUw5WIjnYCEsVMeoGgyscc795pzLBN4ARhXZZxQwLfD8HWCYmVlg+xvOuQzn3FpgDTDYzOoDxwEvATjnMp1zOyv+VERE/HfliV2pFRleaFutyHCuPLFruduuU6cOJ554IldddRVjxowBYNeuXcTFxRETE8PKlSv54YcfDtrG6NGj+eyzz/j5558LDQpamiFDhvDRRx+Rnp7O3r17+d///nfAPo0aNeLXX38FYNGiRUyfPp0+ffqwcuVKoqKiuOWWW4pNkMri2GOP5YMPPiA1NZV9+/bx/vvvc+yxx3LcccfxwQcfkJaWxp49e/joo4/y3zNs2DDeeecdkpKSANi+fTvr1q07rOMXVFK7h/pZVJrcHK/H1M4lXkGqVmOo38vr0RIW+B4trg80GnjgEtfH39ilajpnC/zBHbhcsAtO/wXqd4fvL4bvLoSMbX5HKyLVhHIw5WAhl4NVASHZowpoCawvsL4BOLKkfZxz2Wa2C2gU2P5Dkfe2BNKAZGCqmfUB5gO3Ouf2FT24mV0LXAvQpk2bYJyPiIiv8maWCfaMM3nGjBnD6NGjeeONNwAYMWIEzz//PN27d6dr166FupkXJyoqihNPPJEGDRoQHh5+0H0LGjRoEGeddRa9e/emWbNm9OrVi/r16xfa59JLL2XkyJH06tWLE044gXbt2tGhQwc6dOhA69atufnmm3nuuedo2fLQr0X//v254oorGDx4MOB9K5nXvf3CCy+kT58+NG3aNL8rOHjd3idOnMjw4cPJzc0lMjKSZ555hrZt2x7y8Qsqqd1D/SwqnMuF9GRI3wy52RAV593mFx7tb1xSs9XtBCd/CysmwZJ7IelbOPJFaDnS78hEpIpTDqYcLGRysCrEnHN+x3AAMzsPGOGcGxtYvxQ40jl3c4F9lgb22RBYT8ArZo0HfnDOTQ9sfwn4FEjEK2ANcc79aGZPArudc+MOFsvAgQPdvHnzgnyGIiLlt2LFCrp37+53GEGRm5tL//79efvtt+ncufMhvXfv3r3UqVOH1NRUjjvuOCZPnkz//v0PeB1g0qRJ7Nq1i4kTJ3LnnXeSk5NDeno6jz/+OJGRup2sQjkHmdsgdRPkZkJkXa/3VMSBtyFUpOJ+b8xsvnNuYKUGIgfla/614xeYe6nX26/TtdDvXxBZx59YRCQkKQfzKAeTQ3EoOVio9qjaCLQusN4qsK24fTaYWQRQH29Q9ZLeuwHY4Jz7MbD9HeCu4IcuIiKHYvny5ZxxxhmMHj36kBMkgGuvvZbly5eTnp7O5ZdfXihBAnj88cd54403iIyMZMiQITz22GMAPPLII0GJX0rhHGTt8m7zy0mDiBio0w4i6/kdmUjx4vrAqT/D4nu9HlZbZsJR06DpUL8jExEJKuVgEqpCtUdVBPArMAyvyPQz8Afn3LIC+9wE9HLOXR8YTP0c59wFZhYPvIY3ztURwCygs3Mux8y+BcY651aZ2Xgg1jl3x8FiUY8qEQlV1enbPKmmsvZ4M/ll7YXwWlC7pXern48DVatHVdUQMvlX0hyYexnsS4Tud0Dv+72fZRGp0ZSDiRy6Kt+jKjDm1M3A50A4MMU5t8zM7gfmOedm4A2K/oqZrQG24830R2C/t4DlQDZwU2DGP4A/Aq8GZvz7DbiyUk9MRESkJshO9QpUmbu8Gfpi20KtRmChOoeLSAmaDvUGWl/4F1jxKGz6BI55BeL6+h2ZiIhItRWShSoA59wnwCdFtt1b4Hk6cH4J730AeKCY7YsAfWMqIiJSEXIyvAJVxnawcG+Q9Oim3nORqiqyLgz+D7QcBT9eDZ8Phl7/8HpYhYVsKi0iIlJl6atNERERKZ/cLNj3O+xaCpk7oHZzaNALardQkUqqj5anw8il0Ops+OVvMPM42LPG76hERESqHRWqRERE5PDk5niDpO9cAulJUKsx1O/lzeanniZSHdVqBEPehGNehV0r4JM+sPp5b9IAERERCQoVqkREROTQuFxI2wq7lkDaZoisDw16emNRhUf5HZ1IxTKDdn+AkUugyRD4+QaYfZpXtBUREZFyU6FKREREysY5yEiBnUshdT2E14b63aFuRwiP9js6kcoV0wpO/BwGPgNJ38AnvSDxDb+jEhERqfJUqBIREZGDcw4yd8Ku5bA30butr14XqNcVImL9jk7EP2bQ5UY4bRHU7QLfj4E5F3kTCoiIiMhhUaFKRERESpa1B/asCgwanQt1OkC97hBZz+/IREJHvS5wyhzoPRHWvwuf9IRNn/odlYiISJWkQpWIiJTLli1buOiii+jYsSMDBgzg9NNP59dffw1K2zt37uTZZ5/1vY2KNH78eP75z38edJ86depUUjQFZKfCntWwexXkZHjjT9WPh1oNvV4kIlJYWAT0vAdO/QmiGsLs0+Gn6yFrr9+RiUg1pRysfEI2BxMVqkREaoT3msNrduDyXvNyNeucY/To0ZxwwgkkJCQwf/58HnroIbZu3RqUsGtCkhRycjJg71rvNr+svRDT0hsoPboJmNIGkVI17Acj5kH3v8CayfBpH0j+zu+oRMQvysGCEo/ULMo4RURqgvQSkpaStpfR119/TWRkJNdff33+tj59+nDsscfy2GOP0bNnT3r27MkTTzyR/3piYiLdu3fnmmuuIT4+nuHDh5OWlsa+ffsYOXIkffr0oWfPnrz55pvcddddJCQk0LdvX+644w4Azj77bAYMGEB8fDyTJ08+aJtAsW0UtGLFCo477jh69+7NpEmT6NSp00HPOTExkW7dunHFFVfQpUsXLr74YmbOnMmQIUPo3LkzP/30U/6+JV2DBx54gC5dujB06FBWrVqVv3369OkMHjyYvn37ct1115GTkxOUOEpqt9C1fP452Pc7iUu+oHv/k7jmL48Rf+wlDB91OWnpmQe9JiJSRHg09JsEJ8/2ZsmceRwsutsrBItIzaIcTDlYaTlYGa5ljeOc03KQZcCAAU5EJBQtX758/8q8W5378viSl1cpeSnpPfNuLTWGJ5980t12220HbJ83b57r2bOn27t3r9uzZ4/r0aOHW7BggXPOubVr17rw8HC3cOFC55xz559/vnvllVfcO++848aOHZvfxs6dO93atWtdfHx8oba3bdvmnHMuNTXVxcfHu5SUlBLbzDte0TbyZGVluX79+uXHdv3117tRo0Yd9JzzjrV48WKXk5Pj+vfv76688kqXm5vrPvjgg/z3l3QN8rbv27fP7dq1y3Xs2NFNmjTJLV++3J1xxhkuMzPTOefcDTfc4KZNm+accy42Nvaw4zhYu9u2bXMuJ9ulpqxx8d06upRfv3Rrl35b4rWsDgr93gQA81wI5Bxaqmn+lbnbuR/Gen9vP+7t3PZf/I5IRMpJOZhysKDkYIdwLauDQ8nBIvwulImISPUzZ84cRo8eTWysNyPcOeecw7fffku/fv0AaN++PX379gVgwIABJCYmcsEFF/DnP/+ZO++8kzPOOINjjz2WHTt2HND2U089xfvvvw/A+vXrWb16Nc2bNy+2zdK899579OnTJz+uHj160LRp01Lf1759e3r16gVAfHw8w4YNw8zo1atX/nFLuga5ubmMHj2amJgYAM466ywAZs2axfz58xk0aBAAaWlppcZSljhmzZrF/Hk/Mqh/fKDdDJrWyYZtPXjq0Rd4/+OvAVi/aSurkyJp3rLVYV1LESlBZF048gVoNQp+HAufD4TeE6DbXyAs3O/oRKSaUQ4WYjlYCe0G81pWRypUiYhUBwOeOPjrrx1k8OuTZx/2YePj43nnnXcO+X21atXKfx4eHk5aWhpdunRhwYIFfPLJJ/z9739n2LBhXHbZZYXeN3v2bGbOnMncuXOJiYnhhBNOID09vcQ2S7N48eL8ZABg6dKljBgxgvXr13P//fdTv359RowYwcknn1xi/GFhYfnrYWFhZGdnl/1CFOCc4/LLL+ehhx4q83vKEodzjssvPJ2Hxt1c6L2z58xn5v/9yNyZbxHTuDMnnDyS9Cx3QLtlvZYiUoqWZ8DpS+Hn62HRXbDxIzhqGtTt6HdkIlIeysGUgx0sByum3WBfy+pIY1SJiMhhO+mkk8jIyMi/tx72Jx4ffPABqamp7Nu3j/fff59jjz32oG1t2rSJmJgYLrnkEu644w4WLFhA3bp12bNnT/4+u3btIi4ujpiYGFauXMkPP/xQaoxF2yioUaNG+bPjLFq0iOnTp9OnTx9WrlxJVFQUt9xyywEJUlkde+yxxV6D4447jg8++IC0tDT27NnDRx99BMCwYcN45513SEpKAmD79u2sW7fusI5d0LBhw3hnxlckJW/32t2xi3XrN7Nr917i6tclpnlfVq5ZX6ZrKSLlFN0Yhr4NR78CO5d6A62v/g8453dkIlLFKAcrWUjlYMW0ezjXsqZRjyoRkZogulnxg3ZGNytXs2bG+++/z2233cYjjzxCdHQ07dq144knnuCKK65g8ODBAIwdOza/a3dJlixZwh133EFYWBiRkZE899xzNGrUiCFDhtCzZ09OO+00Jk6cyPPPP0/37t3p2rUrRx11VKkxFm1j0qRJ+a9deumljBw5kl69enHCCSfQrl07OnToQIcOHWjdujU333wzzz33HC1btjzka9O/f/8Sr8GFF15Inz59aNq0aX538B49ejBx4kSGDx9Obm4ukZGRPPPMM7Rt2/aQj11Qjx49mPi36xl+/s3k5joiIyJ45tG/MmLY0Tw/7d1DupYiEgRm0P4SaHo8/HCl18Nqwwdw5EsQc4Tf0YlIsCkHq9k5WDHtjhgx4pCvZU1jTt/gHNTAgQPdvHnz/A5DROQAK1asoHv37n6HUaXt3buXOnXqADBp0iR27drFxIkTufPOO8nJySE9PZ3HH3+cyMhInyM9TDnpkLoRMg8cZyJfo4GVF08IKO73xszmO+dq1oUIcZWRf23es5kJ30xg7oa5LLxuYYUeq0QuF359Fhb91ZspcNBz0PZCf2IRkTJTDlZ+1T4HkwMcSg6mHlUiIlJjPf7447zxxhtERkYyZMgQHnvsMQAeeeQRnyMrp9wsSNsE6Sle7w0Rybc0aSnP/vwsUxdNJdflkpmT6V8wFgZdb4YWp8Dcy+C7i2DDhzDwaajV0L+4REQqWLXNwSQoVKgSEZEaa9y4cYwbN87vMIInN8e7vSB9i9dTI7oJ1D4Cdi33ildFhelbSqk5Nu/ZzK2f3srbK94m3MLJcTl+h7Rfva5wynew7CFYej8k/R8cOQWOONXvyEREKkS1y8EkqFSoEhERqepcLmSkQNpmryAVFQcxLb1biQDi+vgbX5Bk5mSyec9m9mXto0eTHn6HI1XMRe9exLfrvgUIrSJVnrAI6DUOWo6EuZfC7BHQ+Qb4/V3ISDpw/+hmcM6Wyo9TRESkgmnWPxERkarKOW/8qV3LYd/vEF4L6nXzprvPK1JVA5k5mSTuTGRJ0hJSUlNIzUr1OySpgt48701uGHgDtSNqE1mkN+GCzQt8iqoYDfvDiPnQ7U+w+vnii1RQ/ODMIiIi1YAKVSIiIlVR1l7YvQr2JHjrdTtB3a4QWcffuIIoLSuNlckrWbx1MSmpKTjncGgSGL+Y2QgzW2Vma8zsrmJer2VmbwZe/9HM2gW2n2Jm881sSeDxpEoPHmhepznPjHyG3279jWv6X0PtiNqEWzgAAycP5Pr/XU9KaoofoR0oPBr6/wuGfeV3JCIiIpVOhSoREZGqJDsN9qyB3SshNwNi20L9eIhqUG0GTt+XuY+1O9eyLHkZe7P2+h2OAGYWDjwDnAb0AMaYWdH7L68GdjjnOgGPA3kj4qYAZzrnegGXA69UTtTFK1iwum7AdfRq2otbj7yVFxe8SJd/d+GZn54hOzfbzxD3a3aC3xGIiIhUOo1RVdn6AUcD44AWPsciIiJVR26mNwZVerI3U1hMS4huCoEeIVVdTm4OO9J3kLQvidSsVMIsjIa1G+KcY1fGLvWm8t9gYI1z7jcAM3sDGAUsL7DPKGB84Pk7wNNmZs65hQX2WQbUNrNazrmMig+7ZHkFqzxj+4/lls9u4eZPb2bygsk8NeIpjm93vI8RioiI1EzqUVXZFgEvAR2AG4HNvkYjIiKhLjcHUjfCzqWQnuIVpxr0gtotqkWRKj0rnd93/c7irYtJ3JlIrsulTf029G7Wmw5xHejYsCO9mvaicUxjwiwMo3r0GquCWgLrC6xvCGwrdh/nXDawC2hUZJ9zgQXFFanM7Fozm2dm85KTk4MWeFnFN41n5qUzeef8d9iZvpMTpp3AmHfHsGH3hkqPpcy2zfM7AhERkaBTocoPmUA6MBkVrEREpHguF9KTYNcSrydVZH1oEA+xbaDIQNBVTa7LZUfaDlalrGJp8lKS9yVTr1Y9ujbqSnyTeJrGNiUibH+n78jwSNo2aJtfsIqJjPExejlcZhaPdzvgdcW97pyb7Jwb6Jwb2KRJk8oNLsDMOLfHuay4aQX3Hncv7694n65Pd+XBbx8kPTvdl5iIblbCC2HwxVGw6G+Q42vnNBERkaDSrX9+ygkszwHzgR/9DUdEREJA3kx+aRu9/3xG1oW6rSAi1u/Iyi0zJ5OU1BSS9yWTlZtFVHgULeu2pHFMYyLDSy++5RWsxBcbgdYF1lsFthW3zwYziwDqA9sAzKwV8D5wmXMuoeLDLZ+YyBj+ceI/uKLvFfzly79wz1f3MGXhFB4/9XHO6HIGVpnjwZ2zpfjtmTthwZ9h+UOw8UM4cio0Hlx5cYmIiFQQ9ajyUySQd9fGz8Bo4GvQEBwiUpWYGZdcckn+enZ2Nk2aNOGMM84ocxvjx4/nn//8Z/76McccA8BTTz1F9+7dufjiiwttP9x2K9qhxneArD3eIOl7fwPCoG5nqNvFlyJVWa9dnToHn2XQOcfujN2s2b6GxVsXs2nPJmpH1qZTw070atqLFnVblKlIJb77GehsZu3NLAq4CJhRZJ8ZeIOlA5wHfOWcc2bWAPgYuMs5911lBRwM7ePa8+4F7/LFJV8QFR7FWW+cxcjXRvLrtl/9Ds2bQOGol+CETyFrN3x5NCy8E3J86vklIpVOOdh+5c7BQkiwcrCqTIUqP0QBtYFr8EZ4WA/cDXwLnAT0Bl4AUv0KUESqnX5U2G3GsbGxLF26lLS0NAC+/PJLWrYsOnTNofn+++8BePbZZ/nyyy959dVXC233i3OO3NzcEl8/7Piy02DPati9yhs0PbYd1O8BUfWr7Ex+2bnZbN27lWXJy/h126/szdxL8zrN6dm0J10adaFBdIPK7ZUi5RIYc+pm4HNgBfCWc26Zmd1vZmcFdnsJaGRma4A/AXcFtt8MdALuNbNFgaVpJZ9CuZzS8RR+uf4XHhv+GN+t/46ez/bkzi/vZE/GHr9DgyNGwOlLocNVsOJR+LQfpPzgd1Qikkc5WFBUWA4mIUmFqsrWFxgL/IY3yXNzvM7zD+AVrKbg9bK6NrD9TmCdH4GKSLWyiAqdyOH000/n448/BuD1119nzJgx+a899thj9OzZk549e/LEE0/kb3/ggQfo0qULQ4cOZdWqVYXaq1OnDtdffz2//fYbp512Go8//nj+9jzTp09n8ODB9O3bl+uuu46cnJxS2wW46667eOaZ/TN9FfzW6uyzz2bAgAHEx8czefJkABITE+natSuXXXYZPXv2ZP369dx7772FzuWee+7hySefzI8vMTGR7t27c8011xAfH8/w4cPzk0iACRMm0LVrV4YOGcKY88/inw/cBVl7vZn8GvSC6MasWLmS4447jt69ezNp0iQ6depU6ueQmJhIt27duOKKK+jSpQsXX3wxM2fOZMiQIXTu3JmffvrpsD+Tkq53Ufsy9zFn8Rw6denE1VddzRlHn8HDtz9M0pIkLjztQnp175Ufx8HaLemzONh1lYrlnPvEOdfFOdfROfdAYNu9zrkZgefpzrnznXOdnHOD82YIdM5NdM7FOuf6FliS/DyXwxEZHsntR9/OqptXcXHvi3n0+0fp+nRXpi+ejnM+d4ePqg9HvgAnfAbZ++DLIbDwDq8ILiL+WoRysICQysGGDmXMmDHF9lxasWJFlczBDiWOg7UbEjmYc07LQZYBAwa4SpfrnPvGOXeecy7cORfmnDvHOTc78JqIiHNu+fLl+1dudc4df5Cl4F82c97flRbOuaMO8p5byxZHbGys++WXX9y5557r0tLSXJ8+fdzXX3/tRo4c6ebNm+d69uzp9u7d6/bs2eN69OjhFixYkL993759bteuXa5jx45u0qRJhdp0zrm2bdu65OTkA7YvX77cnXHGGS4zM9M559wNN9zgpk2bVmq7zjm3YMECd9xxx+Wvd+/e3f3+++/OOee2bdvmnHMuNTXVxcfHu5SUFLd27VpnZm7u3Ln571m7dq3r16+fc865nJwc16FDB5eSkpIf39q1a114eLhbuHChc865888/373yyivOOed++ukn16dPb5e2bY3bnfiN69ShtZv0wD3O5WTlt5+VleX69evnFixY4Jxz7vrrr3ejRo0q9bPIO+7ixYtdTk6O69+/v7vyyitdbm6u++CDD9yoUaMO6zMp6XrnfSbZOdkueV+yW5a0zP288Wf30Y8fufDwcPfj/B9LjKO0dkv6LEq6rmVV6PcmAJjnQiDn0OJz/nWIflj/gxs0eZBjPO6Yl45x8zfN9zskT+Yu53681rlXce6jrs4lfe93RCLVjnKwqpyD9XFpaWlu9+7drlOnTgfEWNVysMOJo7R2QyEH02DqociAYwPL73iDrU8G3gP6ALcAY/BuHxQROVQusGzGu8W4b/mb7N27N4mJibz++uucfvrp+dvnzJnD6NGjiY31xlg655xz+Pbbb8nNzWX06NHExHizt5111lnFtluSWbNmMX/+fAYNGgRAWloaTZs2Zfv27aW2269fP5KSkti0aRPJycnExcXRurU3RvRTTz3F+++/D8D69etZvXo1zZs3p23bthx11FH5bbRr145GjRqxcOFCtm7dSr9+/WjUqFGh47Rv356+ffsCMGDAABITE8Hl8t3szxg1/Cii3Q6iG7XkzDNHe2PNFJjl7r333qNPnz7069cPgB49etC0adnulGrfvj29evUCID4+nmHDhmFm9OrVi8TExMP6TEq63ulZ6Tgci7cuJsflEB0RTZv6bWiQ3oD27dszuP/gEuM4WLsH+yyKva4iPjiy1ZH8MPYHpi6cyt2z7mbg5IFcO+BaJp40kcYxjf0LLLIeDP4PtD4Pfhzr9a7qdjv0ngARmjFTxFfKwfzLwYDvvvuOUaNGER0dTXR0NGeeeeYBMVaVHKw8cZTWbijkYCpUhbo2wEPAvcBrwFPA1cBf8ca4upHCc/CISM30RCmvFxwKKArvFuMrgXF4tyAHwVlnncVf/vIXZs+ezbZt24LTaAmcc1x++eU89NBDhbYX7EJ9MOeffz7vvPMOW7Zs4cILLwRg9uzZzJw5k7lz5xITE8MJJ5xAero3KHFeQlHQ2LFjefnll9myZQtXXXXVAa/XqlUr/3l4WBhp6Xtg1zJvRr+wCKjf3RskPSz8gPcuXrw4PxEAWLp0KSNGjGD9+vXcf//91K9fnxEjRnDyyScf9LhhYWH562FhYWRnZ5fp+hRV8Ho759iZvpOkfUksTV6Kc456terRNLYpdaLqYGakhqWWKY6SPseDfRaFrmt4uG79E1+FWRhX97+ac3ucy/jZ43n6p6d5a9lbTDhxAtcNvI6IMB9T7RanwMgl3gDrKx+DjR/BUVOhyRD/YhKpjp4o5XXlYIVUeg52iLlCKOdgZVUdcjCNUVVV1MYrUC0CZgPHA48C7YHzgTlotkARObi8iRyKjpMXJFdddRX33Xdf/jc4AMceeywf/D979x0eVdH2cfx7dtMT0hMSCEnoJQ0ChI4UC4oNK4oo2KWJPvpg11esDxZAEDsq2LF3URCU3hMIHRLSSSd9k915/5hNARJI2SS7yXyui0uye/acWSLk3t+Zuee77yguLqaoqIhvv/2WUaNGMXr0aL777jtKSkooKCjgxx9/bNC1xo8fz6pVqzh5Ura5ycnJITExsd7nvfHGG/n8889ZtWoV119/PQD5+fl4eXnh4uLCgQMH2Lz53M2IJ02axG+//ca2bdu45JJL6j6w/BSUnZQBlaZjxNgr+PGPTZRW6CksLOSnn3466yU+Pj4cOiR3Fdu9ezcrV64kKiqKAwcO4ODgwJw5c2otkOqjMd+T8ePH89Wqr4g9FktsRiw7j+3keMJxOnfojE7T0d27Ox0cOzS4OXpd38eGfi8UpbV5OnmycMJC9ty7hwGBA5j16ywGvjOQ9YnrW3dg9u4QswzG/Sk3alg9CnY8ABVqxx5FaVGqBqvSojXYGUaMGMGPP/5IaWmpTdVgtf15N5W112BWO6NK07QJwCJk5vyeEOKlM553BD4GBgLZwI1CiATzc48iYx0jMEcI8XuN1+mB7UCKEKL++3ZaCw0ZUl2AbLL+JnKHwFXIHSXmIDeMdmqtASqKYpX6A8Ox6N27MwUFBTFnzpzTHouOjmbatGnExMglYHfeeWfVVOobb7yRqKgo/P39q6Yd11e/fv147rnnuPjiizGZTNjb27N06VKGDh1ar/OGhYVRUFBA586dCQwMBGDChAm89dZb9O3bl969e582zbw2Dg4OjB07Fk9PT/T6s2dFgQlOHYbyfDCZ5PI+934MHh7GlVdeSWRkJB07diQiIgIPD4/TXjl16lQmTpxIREQEY8aMITQ0lG7dutGtWze6dOnCrFmzWLZsWaN29mnI90QIwamyUzgEOHD7g7dz3RXXoaHh7OjMsqXLCOwQ2ODr11TX97Gh3wtFsRZh/mH8OfVPvtn/DQ/+8SAXfHgBk8Mns+CiBQS5B7XewALGw2VxsPsROLgQUn6CoR+A/6jW6z0XzAAAzxdJREFUG5OitBf9UTVYDS1Tg9Vu8ODBNlODVarrzzskJKTB16/J2mswTfavsi7mMOkQcBGQDGwDbhJCxNc4ZgYQKYS4V9O0ycAkIcSNmqb1Az4DYoBOwJ9ALyGE0fy6B4FBgHt9gqpBgwaJ7du3W/YNWlox8AlyWeBewBe4B7gPaNrupIqiWLH9+/fTt2/f1h5Gu2UymYiOjuarr76iZ8+e1U8YDVCSAmXZoOnBORCc/EGrnsRcWFiIm5sbxcXFjB49mnfeeYfo6OizngdYsGAB+fn5PPfcc8ybNw+j0UhpaSmvv/469vb2zfLeKkwVZBdnk1mcSWlFKXY6O3xdfPF18cXJzrbvhNT290bTtB1CiEGtNCSlFjZRf51HcXkxL//7Mi9veBm9Ts/jox7nwWEPtv7foYy1sPkOKEqAXrOh/wtyGbKiKPWmarDWVWcNVg/WXoO1ZQ2pwc47o0rTtGsaMYZfhRBNWbAYAxwR5m2NNU37HLgKiK9xzFXAM+bfrwKWaHLNwVXA50KIMuC4pmlHzOfbpGlaEDAReB54sAnjsy4uyH5VdyKXBS4GXgBeAq5DzrIaxunroxVFUZRGi4+P5/LLL2fSpEnVBZKpAkrToTRDfu3cEZwCT2uSXunuu+8mPj6e0tJSbrvtttMKJIDXX3+dzz//HHt7e0aMGMFrr70GwMsvv9ys76vIUERmcSY5JTmYhAlXe1e6enbFy9kLnaa6BViLVqrNlAZysXfh/8b+H9P6T+M/f/yHx9c8zge7PuD1S17n8l6XN3iprMV0HAuXxcKeR+HQYkj92Ty7anTrjEdRFKUBaq3BGsBaazDldOedUaVpmqmB5xRAz8qQqVGD0rTrgAlCiDvNX08FhgghZtU4Zq/5mGTz10eBIcjwarMQYqX58feRxdkqTdNWIVuTdwAeqmtGlaZpdwN3AwQHBw+0xBrQFnccuSzwPSAPuUByDnAj4Fj3yxRFsR3qbl4ryN0DpvKzH9d0gAbCCI4+4NwJ9Lbxj63RZCS3NJfMokyKyovQaTp8nH3wc/XDxb7t7RDWFmZUtUZt1tLawoyqM60+upo5v83hQNYBLu1xKQsnLKSXT6/WHVTG37DlDig8Br1mQdSLYO/WumNSFBugajBFabiG1GD1vT0aIITQ1ecXciGa1dE07XLgpBBix/mOFUK8I4QYJIQY5OfnZ/GxrIlLYeriNUyY/zNTF69hTVyKxa9BV2ABcuHkW0AJcBtyF8GngFTLX1JRFKXNqy2kAhAmuXTGox+4dbX6kMpgNHAs9xi703cTmxFLQl4CRmEk2COYyI6RhHiGtMmQqo2x+dqsvbmo+0XE3hvLqxe/yr8n/iX8zXDmrZ5HQVlB6w2q4xg5u6rXHDi0BH6JlEsDFUVRFKUV1Seo+ggZc9TXSuBU44ZTJQXoUuPrIPNjtR6jaZod4IFsql7Xa0cAV2qalgB8DozTNG1lE8fZYGviUlj4cxwn80sQwMn8Ehb+HNc8YRWAK7Jf1V5kt66hwHNACHAzsBm1W6CiKIoluPcCO+sOdwwVBg5lHyI2I5ackhwqTBW4O7rT26c3YX5h+Lv6Y1fLUkXF6rRGbaZYgL3engeHPcih2YeYEjmF/238H72X9GZl7EparW+snSsMWgQXrpOzQ/8aB9tmQnlh64xHURRFaffOG1QJIaYLIep9q0cIcZ8QIqtpw2Ib0FPTtK6apjkg97H74YxjfkDOEQLZiWmNkD/hfwAma5rmqGlaV6AnsFUI8agQIkgIEWo+3xohxC1NHGeDLV97kLJy42mPlZUbWb72YPNeWAPGA98DR5DLAH9B9q4agixhy5p3CIqiKErrKDYUE58ZT+zJWE6VnZ5XdPfuTgfHDq3XL0dpsFaqzRQLCnALYPlVy9l8x2aC3IOY+u1URi4fyc60na03KP/RcnZV77lweBn8EgHpa1pvPIqiKEq71ejOqJqmjdA0rVnWNgghKoBZwO/AfuBLIcQ+TdOe1TTtSvNh7wM+5mbpDwKPmF+7D/gS2Xj9N2Bm5Y5/1iAzv/YboHU93iy6Aa8ilwW+CRQAU5GzrJ4B0lpuKIqiKDbBZIDChNYeRYMIISgoK+BozlHis+IpLlerv9q65qzNlOYxJGgIm+/czHtXvMfh7MMMemcQ9/50L1nFrZQr2rnAwNfhwvWgs4c142HrfVDeissTFUVRlHanKVv4/Ap0ttRAziSE+EUI0UsI0V0I8bz5saeEED+Yf18qhLheCNFDCBFTs0GoEOJ58+t6CyF+reXcf9fVSL25+Xk41/6EBst+38fR9PyWG4wbcB8y0vsDGAw8iwysbgG2ttxQFEVRrJIwQnEq5O0FQ3Zrj6ZejCYjJ4tOEp8Zz8Hsg5wqO4Wfix/ezt7oNB2a2gK2LWvW2kxpHjpNxx3Rd3Bo9iHmDJnDezvfo9cbvVi6dSkVporWGZT/SLh0N/R5EI68bZ5d9WfrjEVRFEVpd5oSVKlKtxGmj+2No73+tMfs9Tp6Brjz844TzHj3X+59ez1fbz5GbmELrcXTgIuAH4FDwEzz74cge1p9CvQHZqBmWymK0j4IAaVZMqAqSQV7D/AIkzMMalPX4y2opLyEE/kn2JOxhxP5J9A0jVDP0Krm6N28uhHhH4Gvi68KrNou9U21YZ5OniycsJDd9+6mf0B/Zv06i4HvDGR94vrTjksrSGPGzzMY8PaA5h2QnQtEvwoX/Qs6R1hzEWy9B8pVuzNFURSleamOqS1sXIS80bl87UEy80vw83Bm+tjejIvozKkSA+v2pbJ6TwrvrN7Pe38eYFAPPy6KDGJoL38c7PTnObsF9ABeR86s+hhYDEwxP7cXWA5MB54EApt/OIqiKC3OkA8lyVBRIpsMu3Wv3q7dK6p1x3YGkzCRV5pHZlEmBYYCNDS8nb3xc/XD1d71rL5T9np7QjxD6NShE6kFqRSVF7XSyBVFqUu4fzh/3foXX+//mv/88R8u+PACJodP5qFhD/H+rvdZvns5JmHCYDS0zID8hsvZVXFPwYHXIPVXGPIeBF7cMtdXFEVR2h2tsTuMaJp2M/C9EKJNV7mDBg0S27dvb/HrnsgsYHVsCn/FJZNdUIabkx0XhHXiosgg+nT2bLmmtyZgNTChxmM6ZMR5O/AUKrBSlFayf/9++vbt29rDaDsqiqE4Wc4W0DuCc2dw8AIrbDJuMBrIKs4isyiTclM5DnoH/Fz88HXxxV7f+rO7rFltf280TdshhBjUSkOymLZUm7VW/WVtisuLeeKvJ1i0ZREmTOg1PcYarVfF0y28U2DmJtgyHU4dhO53woBXwMGjZcegKFZA1WCK0nANqcEavfRPCPFpWyiErFWwXwfuGN+HFXPG88LNMQzu4c+fe5KZu3wjdy5bx+f/HiHzVAs0YNcBl5zxmAkwAG8BFwDq/wJFadc0TeOWW6o3Ua2oqMDPz4/LL69/K8BnnnmGV155perr4cOHA7B48WL69u3LlClTTnu8seetVWWj9Px4qCgCly5ymZ+jd6NCqry8PN58880Gv+58r6/ZHD0uI47UglSc7Z3p4d2DCP8IAjsEtkhIVa8/U8DNza3Zx6KcTtVmbY+LvQs70ncgkIGUsbX3B/IbBhN2Qd//wrEP4JdwSP2tdcekKO2YzddgFtZcNZi1aE812HmDKk3TYjRNq/eaM03TBmqapm7nWohepzGwux+PTBrAZw9eyAOXR+Dp6sjytQeZumgNj6zcwl+xyZQaWrDZpgNgD/gAh5FtW+cCB1tuCIqiNI0le5y4urqyd+9eSkpkeL569Wo6d25aP+eNGzcC8Oabb7J69Wo++eST0x63iDMbpTt1BM8IcO4IWuNbOFq6SKqtObq/qz/h/uH08umFp1MLzrJVrIKqzdqXL677gvsG3YeznTP2Z/TD++XwLzR2dUSj2TnDgJfhoo1g1wH+vhQ23wGGvJYdh6LYKFWDNZ+2HlS1J/WpxDcB3g0451qgS+OGo5yLq6M9EwYE8+ptw/hw1limjO5JWm4R//t+D5Nf/5NXf9hDbGI2puYqWBwAZ+BO4ASQCfwLTATeBPogm7J/C7TSJjWKopxbZXHUbXE33t/1PrvTd1vkvJdddhk///wzAJ999hk33XRT1XOvvfYa4eHhhIeHs3DhwqrHn3/+eXr16sXIkSM5ePD0pNvNzY17772XY8eOcemll/L6669XPV5p5cqVxMTE0L9/f+655x6MRuN5zwuAEHz8/hIiw/sSFTOGqTOelTOoXLvw2sLFZ401ISGBvn37ctdddxEWFsbFF19MSUkJRUVFTJw4kaioKMLDw/niiy8AeOSRRzh69Cj9+/fn4Ycf5uqrr2bgwIGEhYXxzjvvVA2jrvNWvj4yKpJ75txzVnN0+xx7plwxhZjoGBYsWECPHj3O+b1JSEigT58+TJs2jV69ejFlyhT+/PNPRowYQc+ePdm6tXqL18Z8r+r6PjR1LHWdt7Y/z7r+LNswVZu1IwFuASyduJRj9x/jrui7cLZzxk4n28xO/HQiF664kJ1pO1t+YL5D4NKd0O8ROP4h/BwOKb+0/DgUxUaoGkz6+OOPiYyMJCoqiqlTp55zrK1Vg1W+/kz79+9n9OjRREZGqhqsuWswIcQ5fyEXer2HbKtdn1+lQLfznddWfg0cOFBYM6PJJGITssSrP+wWV730q7j42Z/E1MV/iY/WHhQp2YWWu1B/IcQMIURaHc+nCyGeF0J0EfJPrrMQ4tlzHK8oSpPFx8dX/f7+X+8XFyy/oM5fQ98dKgJfCRS6/9MJ7RlN8AxVv+p6zf2/3l+vcbi6uoo9e/aIa6+9VpSUlIioqCixdu1aMXHiRLF9+3YRHh4uCgsLRUFBgejXr5/YuXNn1eNFRUUiPz9fdO/eXSxYsOC0cwohREhIiMjMzDzr8fj4eHH55ZcLg8EghBDivvvuEx999NF5zyvK8sTejd+Jnt2CRebRDUIYCkR2drYQQtQ51uPHjwu9Xi927dolhBDi+uuvFytWrBCrVq0Sd955Z9Wp8/LyhBBCHD9+XISFhVU9Xnn+4uJiERYWJrKysqqOO/O8H338kdi1f5fo2aen2JayTWxP2S6O5RwTBWUFwmQyifLycjFgwACxc+dOIYQQ9957r7jqqqvO+f2pvE5sbKwwGo0iOjpaTJ8+XZhMJvHdd99Vvb4x36u6vg81v1eNGcu5zlvbn2dd36Pa1Px7UwnYLqyg5qjvr/ZQm1l7/dWa0grSxIyfZoioZVFi8ebFwudlH8EziFu+uUUk5Ca0zqCytgrxU5gQnyDEpmlClOW0zjgUpYWoGqwRNZgQYu/evaJnz55V57WmGmzFihVnvb4mVYO1bA1Wn13/1gPdG5B9bQLa9G1Ma6LTNCJCfIgI8WHGJWFsOJDO6tgUPv3nMJ/8c5iwLl5cHBXEqH6BuDo2Ydb/rvM83xF4DPgv8AuwFNlo/VngWmAGMAq1cbaitJL9WfvJL8tvtvNHRkaSkJDAZ599xmWXXVb1+L///sukSZNwdXUF4JprruGff/7BZDIxadIkXFxcALjyyisbdL2//vqLHTt2MHjwYABKSkrw9/cnJyen9vPWaJS+5p/NXH/dtfh2HQaahrf3ucd65ZVX0rVrV/r37w/AwIEDSUhI4IYbbuA///kP8+bN4/LLL2fUqFG1jnXx4sV8++23ACQlJXH48GF8fHwAqs5rMBroGd6TrXu34tnLE5Mw0blD57Oao3/zzTdERUUxYIBcLtCvXz/8/f3P++fVtWtXIiIiAAgLC2P8+PFomkZERAQJCQnnfP/n+l7V9X1o6ljOdd7a/jwDAgJq/R61Yao2a8cqZ1hVujXqVl769yUWblnIV/u+Ys6QOTw26jE8nTxbblA+g2HCDtj7LMS/DGl/yH93y/POPtapI1yT3nJjU5RW1u5rsBrWrFnD9ddfj6+vLwDe5iKsNWuwmucdOXJkne9b1WAtW4OdN6gSQoxp8lWUFuHkYMf4yCDGRwZxMr+ENXEprI5N5vWf4njzt30M7xPARZFB9O/qi17XTImRHXCl+ddhZMP1D4AvgHBkYHUL0KF5Lq8o7dXCCQvP+Xx6YTrz181n+e7lGIXxtG3N/572t0XGcOWVV/LQQw/x999/k52dbZFz1kUIwW233caLL7542uM1p0oDYDJCWY5slK7pZaN0p0Cwy2hQo3RHR8eq3+v1ekpKSujVqxc7d+7kl19+4YknnmD8+PE89dRTp73u77//5s8//2TTpk24uLgwZswYSktLq96DvYM9R3OOkleaR2FFIZqQy/uc7JwI7HD2lqqxsbFVhQDA3r17mTBhAklJSTz77LN4eHgwYcIELrzwwjrHr9Ppqr7W6XRUVDR+rXZd34dzqc9Y6jrvuf48a/setVWqNlNq8nDy4MULX+S+wffx5NoneWXjK7y/632eHP0kMwbPwEHv0DID0TtC1PPQ5RrYNA1KUms/rjSjZcajKC1E1WDSWTWYhTRHDVbXec9F1WAtW4M1vlusYtX8PZyZPLIH7913AYtuH85FUUFsO3KSxz7dyq2L1/D+Xwc4kVnQvIPoCbwKpADvI3tczQA6ATOBfc17eUVRqtXscXLngDtxtnO2+IeX22+/naeffrrqTg3AqFGj+O677yguLqaoqIhvv/2WUaNGMXr0aL777jtKSkooKCjgxx9/bNC1xo8fz6pVqzh58iQAOTk5JCYmVp+3qJCCjEP8+OO3YCw+rVH6uPHj+eqrr6oKuZycnHOOtS6pqam4uLhwyy238PDDD7Nzp+wR06FDBwoK5L+v+fn5eHl54eLiwoEDB9i8eXNVc/RD2YcoM5ZVNUcPcAvAx8WHzr6dq15/Jh8fHw4dOgTA7t27WblyJVFRURw4cAAHBwfmzJlzVoFUX435XtX1fWiqus5b25+noihSsEcwH139ETvu3kF0YDQP/P4AfZf25at9X1UuGW0Z3gNhwvaWu56iWLl2V4Od47zjxo1r1RrsfGq+/kyqBmvZGqw+S/8UG6ZpGn06e9Gnsxf3XNyPzYdOsjo2mVWbjvHlxqP06uTBxVFBXBDWCXfnZrrj5gLcDkwHtiIbr79v/u8FyPBqEnInQUVRmlVlsfTkBU8yf918NiZbbgeXoKAg5syZc9pj0dHRTJs2jZiYGADuvPPOqinTN954I1FRUfj7+1dNL66vfv368dxzz3HxxRdjMpmwt7dn6dKlDB0yhBuvvZyoqDD8fb0YHN0fnALAtbqPdFhYGI8//jgXXHABer2eAQMG8OGHH9Y51rqmL8fFxfHwww+j0+mwt7dn2bJlgCxkRowYQXh4OBdddBEVFRX07duXHj170H9Qf47mHsUj3wOdpsNB50Bkx0j0Oj32OnvKKDvt9ZdeeikLFiyouubUqVOZOHEiERERjBkzhtDQULp160a3bt3o0qULs2bNYtmyZY3a8acx36u6vg8hISENvn5NdZ13woQJvPXWW/Tt25fevXszdOjQJl1HUdqiAYED+OOWP/j96O88vPphblh1A0ODhvLKRa8wInhEywxC73j+YxSlnWnzNdjQoec9b2vVYPWtGVQNZj01mNaid1hs0KBBg8T27W3vrlBOYSlr96ayek8yx08WYK/XMaSnPxdFBTGoux92+maebJcFLAeWAceBAOBu4C4gqHkvrShtxf79++nbt29rD8N6GPJlHypjCdi5gUsQ2Lud/3XNyCRM5JXmkVmUSYGhAA0Nb2dv/F39cbF3QWvA8kOAwsLCql13FixYQH5+Ps899xzz5s3DaDRSWlrK66+/jr29Sv7rUtvfG03TdgghBrXSkJRatNX6q6UZTUY+2vMRT659ktSCVCb1mcRLF75EL59ezX/xT8/x79tNpgYtv1YUa6NqsPZH1WBN15AaTAVV59EeCqWj6fmsjk1hTVwK+cUGPF0dGBvemYsiO9M9wKN5L24EfkfOrvoFuRj1KuTSwLGo5uuKcg6qSDKr0SgdvSM4B4GDZ6t+CDIYDWQVZ5FZlEm5qRwHvQP+rv74OPuc1hy9oebPn8/nn3+Ovb09I0aM4LXXXjutL4Byfiqosg3tof5qSUWGIl7f/Dovb3iZkvIS7hl4D0+PeRp/1/M3Am60cwVV/mMg5h1w79l811eUZqRqsPZH1WBN12JBlaZp9sAY5LbH8UKI5u3c1graU6FUYTSx/Wgmq/cks+XwScqNJrr6d+CiqCDGhXdm1/Eslq89SGZ+CX4ezkwf25txEQ2f2linY8DbyGWB2UAf4D7gVsDTcpdRlLai3RdJRoNs1luWBZodOAeCkx9ordN+UQhBoaGQk0UnyS3NBcDD0QM/Vz88HD0aPHtKaR5tPahqK7VZe6q/WlJGYQb/t+7/eGfHO7jYu/DIyEeYO3QuLvYulr/YNwG1N063c5c3EoylEPEM9P0P6NQMBMW2tPsaTFEaoSWDqh+BNOAaIBfZjShOCDGh0Se1Mu21UDpVbODvfamsjk3mUKrcTlWnganG/y6O9nrmToywbFgFsrT+EjnLagvy/6pbkL2soix7KUWxZe22SDIZoTTd/AFIgKO/DKl0Ld920WA0kFqQyqnSU+h0OkorSrHT2eHj7IOfqx9Odk4tPibl3NpBUNUmarP2Wn+1lANZB3jkz0f4/uD3dO7QmefGPcfUyKnodfqWGUBJGmyfDUlfg2cUDHkPfNrEX0GlnWi3NZiiNEFDarCm3nYOFkLcDSQLIXoCLwCxTTynYgXcXRy4cnAob9wxknfvHY2Lo91pIRVAWbmR5WsOWP7iTshZVJuB7cBk4GOgPzAC+AQos/xlFUWxckJAaSbk75Ufcuw9wCNcNkpv4ZDKYDRwNOcosRmxZBVnYTAZ0Gk6Qj1DifSPpItHFxVSKa1F1WbKefXx7cN3k79j3bR1dHbvzPTvpxP9TjR/HP2jZQbgHAijVsGob6DsJPwxBHY+BBVFLXN9RVEUxao1NagqNf/XoGmagxBiKTCyiedUrEywXwdKyipqfe7kqVLe/iOeQ6l5zbP18UDkUsAU4DXgJHJ2VRfgMaDpO3Aqik1rF30GhZCN0vPjoShR9qFy7wMdurf4zlJlFWUcyj5EbEZs1fK+Sv38+uHr4otO1zpLD5Xzaxd/X1RtpjTA6JDRbL5jM59f+zkFZQVcsvISLll5CXvS97TMALpMgonx0P0uOPAq/BwBaatb5tqK0kTt5GeKolhEQ/++NLWaXqxpmjfwNfCWpml3AL5NPKdihfw8nGt93NFOx4/bE5n9/gbufHMdK9cdIjm70PID8AYeAA4im68PB14GuiGbr/8OmCx/WUWxZk5OTmRnZ7ftQqmiGAoOy1+YZDjVoXeL7+ZXbiwntSCVvSf3cqrsVIteW7EMIQTZ2dk4ObX5mW6qNlMaRNM0bgy/kf0z9/Paxa+xLWUbA94ewLTvppF8Krn5B+DgCTFvwYXrZK+qtRfDptugzCbbqyntRLuowRTFQhpTg1ls1z9N06YBYcAKIUSbmWKueiRIa+JSWPhzHGXlxqrHKntUDe7hz78H0li7N5XYhGwE0CvQg7HhnbggrBM+HZrpQ0Ei8A7wLpAJdEc2X5+ODLYUpY0rLy8nOTmZ0tLS8x9sa0wVUJ4PFYWyObq9B9h1aPGd/MoqyigwFFBkkMtRnOyc0DSN0opSBAJq/AgN8Qxp0bEpDefk5ERQUNBZW0e3pR5VNdlybabqr9aTW5LLC/+8wOKti9FpOh4c+iDzRs7D3dG9+S9uLIW9z0P8S+DgBQMXQcjkVt3FVVFq06ZrMEVpBg2tweoVVGma9hMwWQjRDFNlrJsqlKqtiUs5765/WadKWRefytq9qRxOy0cDokJ9GBfRmRF9AnBzaoZdXcqAb4ClwAZkj6ubkM3X7wKGAU8CgZa/tKIoFlZeAPsXwP5XQBih9xwIe0x+YGkhJeUlfLb3M5ZsXcKu9F24O7ozvf90ZgyeQS+fXgCkF6Yzf918lu9ejlEYMRgNiKfVXVVbZYtBVVuvzVT91foS8hJ4fM3jfBr3KX4ufjx9wdPcPfBu7PUtsENfXhxsuROyt0Kny2DwMnANbv7rKoqiKC2qqUGVEQgUQpw0f/0FMKNyy2NN0/SAqxCiza2HUIVS4yVlFfL3vlTW7E0hNacYe72OmB5+jA3vTExPfxztm2FnmT3AMmAlUNmPUw/YI2daqcBKUaxDXduWowNM8g561Avg1rXFhnQs9xjLti3jg90fkFOSQ7h/ODMHz+SWyFtwc6h9qWFlYLUxeSO77tnVYmNVLMtGg6o2XZup+st6bE/dzsOrH+bvhL/p5dOLl8a/xNV9rkZr7llOJiMcWgJ7HpMzqqJehJ4zoKV2JlQURVGaXVODKhMQUKMYKgCihBDHzF93BFKEEC2/N3gzU4VS0wkhOJyWz5q9qazbl0pOYRkuDnaM6BPA2PBO9O/qg97SzYfzkTsFzqnxmB6wA25HBVaK0to+PccHnIs3g++QFhmGSZj44+gfLN22lJ8P/YxO0zGp7yRmDZ7F6JDRzf9BTLEKNhpUtenaTNVf1kUIwc+Hf+a/q//L/qz9jOgyglcufoWhQUOb/+KFCbDtXkj7HXyGwJD3wDO8+a+rKIqiNLuWCKrShBBtbqsjVShZltEkiE3MZu3eFP7dn05RWQVero5cEBbI2PBO9O7kadkPhnWdqg9y9pWD5S6lKEoDnCuourn5l9Dllebx4e4PWbptKUdyjuDv6s/d0Xdzz6B7CHIPavbrK9alDQdVNlubqfrLOlWYKvhg1wc8tfYpMooyuL7f9bw4/kW6e3dv3gsLAQmfws77ofwU9HsEwh5v8Z1fFUVRFMtqiaAqVQjR5ubiqkKp+RgqjGw7ksnavSlsPnSScqOJQC8XxoZ1Ymx4J4L9OjT9IjU/CzsgdwZ0AgoBP2AacDfQo+mXUhSlnkoy4NuAup9vxqAqNiOWpVuXsjJuJcXlxQwLGsasmFlc2/daHO3UB572qg0HVTZbm6n6y7oVGgp5ZeMrLNi4gHJjOTMGz+DJ0U/i4+LTvBcuzYSdD0LCSnDvAzHvgv/I5r2moiiK0mwsEVQ9CqwDdiP3WIsUQhw3P2/TxdC5qEKpZRSVlrPhYDpr96ay+3gWJgHdO7ozNqITY8I64efu3LgTa8iASk91jyo/YDXwNvAjYATGIwOrq1GzrBSluRhL4cBC2PcCVBTUfZyFg6pyYznfHfiOJduWsD5xPU52TtwcfjMzY2YSHRht0WsptsmGg6o2W5up+ss2pBWk8fTfT/P+rvfp4NCBx0Y9xpwhc3Cya6Ydnyul/g7b7oGiROh5n+xf5eDRvNdUFEVRLK6pQdVfwADAE6hAdvpZhdxjbSdwEoi31WLoXFSh1PJyCktZH5/G2r2pHEjJQwMiQrwZG96ZkX0DcHduQJI0ABiODKhqm8CRCnwAvAucAPyRgdZdQDPPYleUdkMIOPEl7J4nP1R0vhJSfqj7eAsFVemF6byz4x3e3vE2qQWphHqGMmPQDG4fcHvz3/VXbIqNBlVtujZT9Zdt2XdyH/P+nMfPh38m2COY58c9z80RN6PTqleephWkMX/9fDYlb7LM5hPlhRD7FBxaBE6BMHgpBF3V9PMqiqIoLaZJQVWNk3QDBpp/RZt/eZufFrZaDJ2LKpRaV0pOEX/vlTsHJmcXYafTGNRd7hw4tHdHnCy1c6AR+B05y+on5BLBC4F7gKuQuwYqitJwWVth5wOQtRE8IyH6dQgYV/euf04d4Zr0Rl9OCMGm5E0s2bqEVfGrKDeVc0n3S5gVM4tLe1yKXu0WpdTCFoOqSm21NlP1l21ac3wND69+mJ1pO4kOjGbBRQvo69uX+evns3z3ckzChMFoQDxtwZmzWVth652QFwddroNBb4DzOZaXK4qiKFbDIkFVHScOBQYB0UKIx5p0MiukCiXrIITgaPop1u5L5e+9qWQVlOJkr6/aOXBAV1/s9BbqF5uMnGX1HpAEdETuFHgX0NUyl1CUNq8oCfY8CgmfyPAp8jnoNr3ZthUvLi/ms7jPWLptKbvSd+Hu6M70/tOZMXgGvXx6Ncs1lbbDloOq2rSF2kzVX7bLJEx8FvcZ8/6cR0pBCjpNh17TU24qrzrGokEVgKkc9i+AuGdB7wzRr0C320Ht3KooitI4A4BhyJVJgc13mWYLqto6VShZH5MQ7D2Rw9q9qayPT6OwtBwPFwdG95M7B/YN8kJnicLECPwKvAP8DAjgIuQsqytQs6wUpTblhbD/f7D/FRAm6PMghD0K9hbYHKEWx3KPsWzbMt7f9T65pbmE+4cza/AspkROwc3BrVmuqbQ9bS2oagtU/WX7Ri0fxYYTGxCc/VnD4kFVpVMHYevdcHI9dBwLg98G957Ncy1FUZS2rLLXsw64GXiOZgmsVFDVSKpQsm6GCiM7jmaZdw7MoKzCREcPZ8aEd2JceGdC/TuwJi6F5WsPkplfgp+HM9PH9mZcROeGXSgJeB85yyoF2e/qDuBOINSy70lRbJIwwfGPYc9jUJIGwTdC/5fALdTilzIJE38c/YMlW5fwy+Ff0Gk6JvWdxKzBsxgdMhpN3UFXGkgFVdZH1V+2L70wnfnr5vPB7g8oN5ZjFMaq547ff5xQz9DmubAwwdH3YdfDYCqD8Keh739Ap+4wKoqinFcWcpuW62o8pkdO0qjcnMyCgZUKqhpJFUq2o7isgk0H01m7L5UdR7MwCYFvB0dyiwwYTdX/nzva65k7MaLhYRXIdrW/IGdZ/WJ+7BLkLKvLka1sFaW9ObkedjwAuTvBJ0b2ofIbbvHL5JXm8eHuD1m6bSlHco7g7+rPPQPv4e6BdxPkHmTx6ynthwqqrI+qv9qO2gIre509d0bfyeOjHqezeyPqsfooToUdsyHpG/CMgiHvgY/6a64oinKaHGQw9TewFog7x7E6YKT5eAtRQVUjqULJNuUVlbE+Po23V++nwmg663l/D2dWzBnXtIucQM6weh+5e2An5CyrO4CQpp1aUWxCwVHY/V/5IcAlCKJegtCbQLNQvziz2IxYlm5dysq4lRSXFzMsaBizYmZxbd9rcbRztOi1lPZJBVXWR9VfbU9lYLUucR2jQ0bz3s730Gk6ZgyewSMjH8Hf1b95Lpz0DWyfJTfw6P0ARP4f2Lk2z7UURVGsXS7wDzKUWgvEIlvcOAMjgDHAWPPvKzkgZ1VVzqiy4H4VNhdUaZo2AViE/CN5Twjx0hnPOwIfI3e5yQZuFEIkmJ97FBkXGIE5QojfNU3rYj6+I/Jb8Y4QYtH5xqEKJds2Yf7PtXRGkO69uB+j+gbi6+7UtItUIHtYvQ38Zn7sUuQsq8tQs6yUtseQD/ueg4OLQbODfo/IZRV2Lha7RLmxnO8OfMeSbUtYn7geJzsnbg6/mZkxM4kOjLbYdRQFVFBljVT91fYdzz3O/PXz+WjPRzjbOTNnyBweGv4Q3s7e539xQxnyYPc8OPIOuHaFmLch8CLLX0dRFMXa5FMdTP0N7EKmIU7AcKqDqcFAzfu/lT2qmimgqrqMLQVVmqbpgUPI1tXJwDbgJiFEfI1jZgCRQoh7NU2bDEwSQtyoaVo/4DMgBjnH5U+gF+APBAohdmqa1gHYAVxd85y1UYWSbZu6eA0n80vOelyv06qWA4Z18WJ0v0BG9rFAaJWAnGH1PpAGdKa6l1WXpp1aUVqdqQKOvgexT0FZFnS7DSKfB5dOTT51WkEa89fPZ33iem4Iu4G3d7xNakEqoZ6hzBg0g9sH3I6Pi48F3oSinE0FVdZH1V/tx8Gsgzyz7hk+3/s57o7uPDTsIe4fej/uju6Wv9jJ9bDlLig4BF1vg+hXwVH9bFEUpQ05BfxLdTC1EzAhQ6dhyFBqLDItOddH3wHIIKuZAqpKFguqNE27ERiPDH5OW98hhLiyKYOscY1hwDNCiEvMXz9qPv+LNY753XzMJk3T7IB0wA94pOaxNY874xrfA0uEEKvPNRZVKNm2NXEpLPw5jrLy6gaelT2qegZ68M/+NNbHp3H8ZAFQHVqN6huIT4cmhFblwE/IWVZ/IBPpy5CzrC5FJtOKYkvS/oCdD0L+PvAfLftQeTd9ZlNaQRrPrnuWD3Z/QIWxAhNyqe4l3S9hVswsLu1xKXqd+gujNC9bD6paojZraar+an9iM2J5+u+n+e7Ad/g4+zBvxDxmxszExd5ys3UBMJbC3ucg/mVw8IKBiyHkRlAbcSiKYosKkcHU38hwagdyXZk9MBQZSo0x/965VUZ4ThYJqjRNWwDMRf4RpMLpq6qEENObNsyq61wHTBBC3Gn+eiowRAgxq8Yxe83HJJu/PgoMAZ4BNgshVpoffx/4VQixqsZrQ4H1QLgQ4lQt178buBsgODh4YGJioiXeltJK6rPrX1JW4WmhlQb06+LFBf0CGdnU0Oo41b2sMoAg5AyrO8y/VxRrlr8fdj0Eqb+AWzcYsACCJjW5oE8rSOPpv5/mw90fUmGqOG378oOzDtLLp1dTR64o9WbLQVVL1WbmazWqLYOmaT7AKuTCgg9r1nN1UUFV+7UtZRtP/f0Uvx35jQC3AB4f9Th3Rd9l+Z6EubGw5U7I2QadJsLgN8E12LLXUBRFsbQiYAPVwdQ2qoOpGKqDqWGAhXP+5mCpoCoDmFkz9GkOzRlUaZrmhuxT/7wQ4pvzjUUVSu3PiaxC/omXoVVCpgytwoK9Gd03oGmhVTnwA3KW1WrkPe/LkZHoBNQsK8W6lGVD3DNweJlsOhv+JPSaDfqmf1BIyEtg1PJRJJ9KrvV58bT1LUlX2jYbD6paqjZrSlsGV+QignDkTUIVVCnn9e+Jf3lizROsS1xHF/cuPHXBU9wWdRv2envLXcRkhENvwJ7H5UYgUS9AzxmgZvIqimItioFNVDc/34rskWyHvP1TGUwNByy8T0R9Jnw0VV01WEPbPOuA3RYZ0bmlcHpHnyDzY7Udk2xe+ueBvHtX52s1TbMHvgY+qU9IpbRPwb5uTBndkymje3Iis4D1+9P5Jz6NN3+PZ9nv8TK06hfIyD4BDQut7IFrzb+OAe8CHyDDq2CqZ1k1vd2PojSe0QCHl0Lcs1BxCnrcAxH/B05+TTqtEII1x9fwxtY3+PHQjwgh6OrZldSCVAQCg9FgoTegKO1OS9VmMcARIcQxAE3TPgeuAmr2+rwKecMQ5AyqJZqmaUKIIuBfTdN6tMA4lTZiZPBI1t62lr+O/8UTa57grh/v4qV/X+KZMc9wU/hNllkWrtNDn7kQdDVsuxd2zIGd/wFRfvaxTh3hmvSmX1NRFOVcSoDNVPeY2gIYkJMaBgEPIYOpEYBb8w3jzBY6J/NLWPhzHIDFw6raNHQP8XeAW5pjIGfYBvTUNK2rpmkOwGTkx/mafgBuM//+OmCNkNPDfgAma5rmqGlaV6AnsFXTNA25+Gq/EOK1FngPShsQ7NeBW0b35O17R/PuvaO55YJeFJQYePO3fUxZ+BcPfbSJH7YlkFNY2rATdwNeBJKAL5H/lz6FDKwmAd2Be5EN2RWlJQgByd/DL+GyF5XvELg0Vi6FaEJIVWgoZNm2ZYQvC+fCFRfy74l/mTdiHglzEzh2/zES5iZw54A7cbZzxkHvYME3pCjtRkvVZp2RP7UqJZsfq/UYIUQFcq+heneq1jTtbk3Ttmuatj0zM7OJw1XaAk3TuLDbhWy6YxM/3vQjbg5uTP12KhHLIlgVvwqTMFnmQm6hMOZXGLay9pAKoDTDMtdSFKV9GQDMoO7PdaXI9V7PIAMoL2Ac8Lz5ubnAL0AuMsB6EbiEZguphBCcyCrkzd/3ndbnGaCs3MjytQeb58JnaOjSv6XAzci7Z7HIxUxVhBBzLDYwTbsMWIjMDj8QQjyvadqzwHYhxA+apjkBK5Df+hxgco27fI8DtyMnxc0VQvyqadpI5MaMcUDlT7XHhBC/nGscauq5UpvEzAL+iU9jXXwaJ7IK0YCIEG9G9Q1kZN8AvN0asTzwCHKW1XKgsj63Q/6NewkItMzYFeUsubtlOJWxFtz7yl2QOl3apFMeyTnC0q1LWb57Ofll+UQHRjM7ZjaTwyfjZHf234/0wnTmr5vPxuSN7LpnV5OurSgNZeNL/1qkNmtKWwYhRJb562nAILX0T2kskzDxzf5veGrtU+zP2s+AgAHMHzufy3pehmapZuifnuM8N6ul6YqiNJCG3HFPB0wH/ou8pfM3ctbUJmQgpUMmG2OQy/lGIteMNbMKo4mjGafYeyKHvSdy2JeUS35x3SsdNOC3Jyda7PqW6lG19lzPCyHGNmJsVk0VSsr5JJwsqGrEXjO0Gt0vkBF9GhFalXH2VqE64GLkffMuZ71CURqnJB1in4CjH4Cjt1zi1+Nu0DWu/4dJmPjj6B+8sfUNfj38K3qdnuv6XcfsmNkMCxpmuQ8RimJhNh5UtUht1pQdmc0z3lVQpViM0WTk07hPeWbdMxzLPcbQoKE8N/Y5xncb3/STq6BKURRL0s74fc1/RmoGU6MAz+YfTqmhgv0peew7kUNcUg4HkvMoNc+cCvRyITzYm4hgbz5ae5DswrKzXu/v4cyKOeMsNh6L9Khqi0GUojRVqH8HQv07MPWCXqeFVkt+3cfSX/dVhVYj+wTi5VaPRtS1HWICfkMuCfwPcr5gT0u+C6VdqSiBg6/DvhfBVAZ9HoDwJ+Q23Y1wquwUH+7+kCVbl3A45zAdXTvy5OgnuWfQPXTqoJquKUpzasHarKotA7L352TkTK6aKtsybOL0tgyKYlF6nZ6pUVOZHD6ZD3d/yLPrn+XCFRcyNnQs88fOZ0TwiOa58OG35A0draHdUxRFaTcEcqXMauDPWp4DGVgNQ+7e18zyiw1VodS+E7kcSc/HaBJoQLeO7lzSvwvhwd6EdfE6rf+yvV53Wo8qAEd7PdPH9m7+QVOPGVWapv0A3CKEOGX+fV2EEOIqi47OCqg7ekpjCCFIzCxkfXwa6+NTScouQqdBeLA3o/t1YmSfgHOHVjWTdwfkAtgLkItZ1yCDqwuQzdevxSa2HlWsgBCQ+AXsngfFJ2Tz2P7/A/fGpZ4Hsg6wZOsSPtrzEYWGQoYGDWXW4FlcH3a96jel2BRbm1HVWrVZE9syJADuyJ9qecDFNXcMPJOqv5SGKK0o5Z0d7/DCPy+QUZTBpT0uZf7Y+QzsNLDhJzvXjCoAnyEQ8xZ49W/UWBVFaYMygb+QwdRq4IT58RAgscZxlZ/rpgNPAgGWHYYQgoz8ktOW8Z3IKgRk8NS7syfhXbwID/amX5AXrk7nXkXRmrv+1SeoWg7MEUIUmH9fJyHE9KYN0/qoQklpqsrQal18Kuvj00g2h1YRIT6yp1VtoVXlWuba/iFLAT5C7hh4FLl2+WbkroHRLfKWFFuUtQV2PgBZm2RxHf0adGz4RAyjycgvh3/hja1vsPrYahz0DkwOn8zsmNkM6mQzn/MV5TQ2GFS1+dpM1V9KYxQZili6bSkvb3iZnJIcJvWZxLNjnyXcP7z+J/kmoPbG6U4dYcCrsOtBKMuCXvdD5P+BfQfLvQFFUWxDCfAv1bOmKtureiIboV8EXIhcDaOj2QIqkxAknixgb1IOe0/ksvdEDlkFcpMvV0c7wsyhVHiwNz0DPXCws8BuqRZmkR5V7ZEqlBRLEkKQcLKA9eblgTVDK7k8MABPV0cYAMm9C3kpfDdHRH7tCbYJuUPE+8DXyCZ8/ZGzrKYgd4xQlKITsPtRSPwUnAIg6nnoepvckrsBcktyeX/X+7y57U2O5x2nc4fO3DfoPu4aeBf+rv7NNHhFaRm2FlS1B6r+UpriVNkpFm5eyKubXqWgrIDJ4ZN5Zswz9PLp1fSTG3Jh92Nw5G1w7gSDFkPQJFB9GBWl7TIiw6jKGVMbkH2F7YERyFDqImAgMpCqaQAwHIsEVIYKI4fT8mUolZRDfFIOhaUVAPh0cCS8i3dVMBXq3wGdDfy7pIKqRlKFktJchBAcPyl3D1wfn0ZyjgytIkN86OjhzNp9qRgqqrdddrTXM3diRO3TLXOBT5Gh1S5kn6trkbOsLkAm+Ur7Ul4I8S/DgVfk133+A/3mNfjOb1xGHG9sfYOVsSspqShhVPAoZsfM5uo+V2Ovb1zTdUWxNiqosj6q/lIsIackh1c2vsKiLYsoqyjjtqjbePKCJwn1DG36ybM2w9Z7IW8PdJoIg94At65NP6+iKNbhODKUWo1svZJjfjyS6mBqFODafEMoKisnPim3ahnfwdS8qs+HXXxcCQv2JryLbH7e0dPZJjcuUkFVI6lCSWkJlaHVenNolZJTVOtx9dplYScysPoEyAe6IZuvTwMsu6RYsQZ1LVFAB5gg5Cbo/xK4Btf7lBWmCr4/8D1vbH2DdYnrcLJzYkrEFGbHzCYqIMpiQ1cUa6GCKuuj6i/FkjIKM3jp35dYtn0ZJmHirui7eHz0403f8MNUAYfegNgnQZgg/El5Y0j1aVQU25ODDKQqZ00dMz/emeqlfOOxeF+p04ZQWFq1hG9fUg7HMk5hEqDTNHoEulfNmArr4iVX4bQBKqhqJFUoKS1NCMGE536p8/nlM8fQybse0X0Jckng+8DfyNziUuQsq4nIqaqK7TtX09eLN4Hv0HqfKqs4i3d3vMuy7ctIOpVEiEcIMwbP4I4Bd+Dj4mOBwSqKdVJBlfVR9ZfSHJJPJfP8+ud5b9d72OnsmDl4JvNGzMPP1a9pJy5Kgp1zIekbcO8rm637j7bImBVFaSZlyCV8lcHUDuSufB2AsVTPmurN6RtdNUJtTcnHhnciNaeYvUk5xJmbn6flFgNyJU3fzp7mUMqbvkGeODvYNW0QVkoFVY2kCiWlNUxdvIaT+SV1Pt/VvwMj+gQwvHcA3Tp2OP80zyPI5usfAmlAR+BWZD+rltlhVGku5wqqbq7fv+8703byxtY3+CzuM8qMZYzvOp7ZMbO5vNfl6BvYy0pRbJEKqqyPqr+U5nQ89zj/t+7/WBG7Amc7Z+YOnct/hv0HL+cmNvhM+Rm2z4KiBOg2Te6s69TEEExRFMswAbFUB1P/IG/s2wFDqQ6mBmPRG/pr4lJY+HMcZeXGqsd0GjjZ6yk2yMfcne0Jq+ov5UWPAA/s9O2jd4sKqhpJFUpKa6jtHzRHez23jZFNQDccSCc+KRcBBHq5MLx3R0b0CaBvkNe5m+ZVAL8iZ1n9hGwMOBI5y+o6mnWNtdIMygvgK/e6nz9HUFVuLOfr/V/zxtY32Ji0EVd7V26NupVZMbPo59evGQarKNZLBVXWR9VfSks4kHWAZ/5+hi/2fYGHowcPDX+I+4fcTwfH6n6OaQVpzF8/n03Jm9h1z65znM2sohj2Pgf7F4C9O/R/GbrfDlr7+NCpKFblBNXB1F9ApvnxflQHUxcgZ1FZmKHCyKHUfJ76fBtFZRVnPe9kr+eei/sR1sWLLr5uNtH4vDmooKqRVKGktJbapojWbKSeW1jGpkMZbDiQzu7jWVSYBN5ujgztJUOrqFAf7M+VxKcBHyNDq8PIf6BvRs6yGkSTp7gqzUiY4PgK2P0IlKbXfVwtQVV6YTrv7HiHt7a/RVphGt29ujMrZhbT+k/D08mz+casKFZMBVXWR9VfSkuKzYjlqbVP8f3B7/Fx9uGRkY8wqe8kXt34Kst3L8ckTBiMBsTTDfjclLcPtt0Hmf+A73C5HNAzovnehKIokIdsebIaGVAdMj8egAymKn81Q9/eUkMF8cl5xJ3IZu+JHPYn51FuNNV5vAb89uREyw/ExlgsqNI07UZkGzF/zthLTAhxZVMGaY1UoaTYgqLScrYeOcmGA+lsO5JJabkRV0c7hvT0Z3ifAAZ398OprnXNAjn19X3gK+QU2AjkLKspgGpNZF2yNsP2OZCzDXyGQPaWuo+tEVRtSd7C4q2L+WrfV5SbypnQYwKzY2YzoccEdOour9LO2XpQ1RZrM1V/Ka1ha8pW5q2ex9+JfwOg1/QYRfXs9gYFVQBCwPGPYNdDYMiDPg9CxNNgp6awK0qDDACGAU8CgTUeNwCbqQ6mtiKX+LkiZ0pVzpoKw+I34QtKytmXJHtLxZ3I4XBaPkaTQKdB9wAPIoLlbnxLf9tHVkHpWa+v1yZZ7UBdNViDOnJpmrYAmAusBVKRH3EVRWllrk72jA3vzNjwzpSVG9l1PIt/D6Sz+VAGa/am4mCnI7qbHyP7BDCklz/uzjV2o9GA0eZfi4HPkKHV/cDDwDXIWVbjOOPjj9KiilPkDKqEleAcCMM+htAp8G2n2nf9c+pIWUUZX+z7giVbl7AtdRsdHDpw36D7mBkzk14+vVr+PSiKYnGqNlMUy4npHIMJExoaAnFaSNUomiZ7VXW+AnbPk8sBE7+AQW9AkE1myIrSOnYD8cBy4Erk0r2twDqgCPkZJQZ4DBlMDQUsvPlmbmFZVSgVdyKH4xmnEIC9XkevTh5cP6wbESE+9A3yxNWxuslVabmx1pYu08eqRsHn0qAZVZqmZQAzhRCrmm9I1kXd0VNsmdFkIu5EDhsPZLDhYDpZp0rRaRqRId4M7xPA8N4d8XN3rv3Fe5CB1UogFwgFbgemAV1aZPgKQEUJHHgN9r0Awgh9H4J+j4C9W62HpxWkMe/Pefxx9A9MwkRmcSZ9fPswa/Asbo269bS+G4qiSLY8o6qt1maq/lJaS3phOvPXzWf57uVUmCooN5VXPffsmGeZPWR245fKZ26ArfdC/l4IugoGLgbXYMsMXFHaqnzAs5bHPYCrzb/G1HFME2TkFVeFUnsTc0jOKQJkyNQvyEvOmArxpncnTxztz7350PlaurRnFln6p2laJjBMCHHEkoOzZqpQUtoKIQSH0vLZcCCdjQfSScqW/9j27uTJiD6yr1WQTy3hRynwLfAesAZ5x+IS5CyrK7D43QrFTAi5zfWuh+TuQV2uhQELwK1rrYennkplxi8z+PHQj5iEXA9/Ze8rmR0zm/Fdx59/Z0hFacdsPKhqk7WZqr+U1lZXYOXu6M6swbOYO3Qufq6N2NHPVA4HFkLcM/LriGegz1zQWXCbMUWxZQJ5w/xX86+NyA2gzqRDbgq1zgKXFILk7CIZSpnDqcod2F0d7Qg3L+OLCPFuVzvytQRLBVXPA+VCiGcsODarpgolpa06kVnAhoMZbDyQzqG0fACCfd0Y0SeAEX0C6BHgfna4cQw55XY5kAL4AbciQ6u+LTn6Ni53D+yYCyf/lo1XBy6CjmNrPfRY7jHu+OEO1iWsQ5yx4qfBvTQUpZ2y8aCqTdZmqv5SrEVlYLUxeSMfXvUhL/z7Al/t+wpne2fuHXgvDw1/iMAOgec/0ZmKEmXPyZQfwCNcNlv3G2H5N6AotiAX2WfqN/OvNPPj/YFLgRdrHOsA6IHpyJ5VAQ2/nNEkSDhZwN4T2VWzpvKKDAB4ujpU9ZcKD/Yh1L8Dep264dtcLBVULUXuCxYPxALlNZ8XQsxp4jitjiqUlPbgZH4Jmw6m8++BdPaeyMEkZIO/4b3lTKuwLt6n/wNtBH5HLg38AagAhgNJwMXAfE5vdKjUT2kmxD4FR98BBy+IfA663wm6s9sJJuUnsWz7MhZsWECFOHvLW1BBlaLUl40HVW2yNlP1l2LNDmQd4MV/X+ST2E+w09lxx4A7+O+I/xLiGdLwkyV/D9tnQ3GS/Jnf/yVwVDvZKG2cCdiFDKV+RTZENyKX710MTDD/qvw8odGkgKrCaOJIej5xiTKU2peUQ2GprJ87ejjLGVMhMpzq7O2qViK0IEsFVWvP8bQQQrS5tvWqUFLam/xiA5sPyZlWO45lUW404eHiwLBeHRnepyMDuvriYFdjHXYGsAK5NPCg+TE9stHhEqBTC78BW2Qqh0NvymUAFQXQa5bcFcjB67TDhBBsSNrA4i2L+Wb/NwgEl3S/BAe9A38c/QOjMGIwGqqPV0GVotSLjQdVbbI2U/WXYguO5R7j5X9fZvnu5QgEt0beyiMjH6GnT8+Gnai8EPY+K3tSOnjJpf5db5PN2BWlrcgB/kAGU78jP0MARCNnTV0KDKH27d4GIG+K1zOgKis3ciAlzzxbKpv9yXlVzcyDfFxrzJjypqOnS9Pel9IkFgmq2iNVKCntWXFZBduPZrLhQDpbD5+k2FCBs4OewT38GdEngJge/rg4mn+aCM7eFVBD7sCxDPkDRjlb6m+w8wE4dQACLoaBr4NHv9MOKa0o5Yu9X7B462J2pu3E08mTu6LvYsbgGYR6hgKn99KoDKxUUKUo9WPLQVVbpeovxZYk5SexYOMC3t35Lgajgcnhk3ls5GOE+Yc17ES5sbDtPsjaCP6jYfCys2oCRbEZJmAH1b2mtpof80bOmroU2fe2Y/1Od66G5EVl5cQn5Vb1mDqYkkeFSaABXTu6nxZMebk5WvqdKk1gsaBK07SOwEzkppAC2Ae8KYQ4aYmBWhtVKCmKZKgwsichmw0H0tl0KIO8IgP2eh0Duvowok8AQ3t1xPNc//Bfitwx8ErAqWXGbNVOHYKdD0Lqz+DWQwZUnSaedvc05VQKb21/i7d3vE1mcSZhfmHMGTKHKRFTcHVwrfW0NXtp7LpnV0u9G0WxabYeVLXF2kzVX4otyijM4LVNr7F021KKyou4pu81PD7qcaIDo+t/EmGCox/A7v9CeQH0fRjCnwA7NetDsQFZyNlSlbOmspA3rgdRPWtqMHL1RQOsiUth4c9xVbOiAOz1GlGhPuQXl3M0PR+TAL1Oo1egB+HmUCqsizcdnNVGBdbMUkv/RiBXkmYAm8wPDwP8gUuEEJvqeq2tUoWSopzNaBLEJ+ey8UA6Gw6mk5FXgk6DX5+cWHWMQW9EaLApLJ3u4e50WdcBkpFrz29ChlaDkT+82hNDPuydD4cWg84JIp6CXnNAL7dPFEKwOXkzi7cuZlX8KowmI1f0voI5MXMY13WcWjOvKM3AloOqtlqbqfpLsWXZxdks2rKIxVsWk1+Wz2U9L+OJUU8wrMuw+p+kNFOGVcc+BNdQGLQEOk8836sUpWUZgW1U95rahrxd4oucLTXB/N9GbJBZ05SFf5FVUFrrc5Eh3kQE+xAR4k3fzp44OdS2dlCxVpYKqjYBccC9Qsj9zzVN0wFvAeFCiOEWGq/VUIWSopybEIJjGaf490A6t43tXRVQ/T4giU/HHCG3Qxn+Hk6smDke1gAfAt8Apch7/9OAW2j7zddNRji2HPY8BmVZ0P12iHwenOV857KKMr7c9yWLty5me+p2PBw9uGPAHcyMmUk3r26tPHhFadtsPKhqk7WZqr+UtiC/NJ+l25by+ubXySrOYlzXcTwx6gnGhI6p/42njHVyOeCp/dDlGrkTsEtQ8w5cUc7lJNWzpv4AspE3nocgg6lLgYE0eNZUTZmnSohLzCE2MZu4xBySc4pqPU4DfntSBbi2zFJBVQnQXwhx8IzH+wC7hBDOTR6plVGFkqLU35HAfOK75FYFVDVdFh3M0F7+9A/1xbFYD18Cy5H3/3XIH2zTgSuAtrZ0/OQ/sON+yN0FfiNlkektlwGkFaTx1va3eGvHW5wsOkkf3z7MiZnD1KipuDm4tfLAFaV9sPGgqk3WZqr+UtqSIkMRb+94mwUbF5BemM7wLsN5YtQTTOgxoX6BldEAB16VDdc1O4h8FnrNrnVXYEWxuApkf6nKXlM7zI/7UR1MXQw0YbPK9Lzi6mDqRA5pucUAuDjaER7sTXyNXfpq8vdwZsUcm9wzRDGzVFCVDkwTQvx2xuOXAh8IIdrcnAhVKClK/U1dvIaT+SVnPe5op0On0ygxGHG01xPd1ZehvfyJ6emPd4oTfAR8DKQAXsiN1qch78bY8kq3ohOw679w4gtw6SJ38Qm+ATSNLclbWLx1MV/t+4oKUwUTe01kTswcLux2oVrepygtzMaDqjZZm6n6S2mLSitK+WDXB7y84WVO5J8gOjCaJ0Y9wVV9rkKnnbkjTS0Kj8G2WZD2K3hGQcxb4Du0+QeutD/pVC/nWw3kIm8sD6W619QAzt5IqR6EEKTmFhOXmE1sYg5xJ3KqPj+4OdkTEewtl/OF+NCtozt6nVZrjypHez1zJ0ZUNVRXbJOlgqqFwPXAf4GN5odHAC8DXwghHmz6UK2LKpQUpf7O9UNkZN8AYhNz2Hwog82HMsg8JdeZ9+7kydBe/gzt3pGucR3QPtTgW6AMCEcGVlOo11a0VqOiGOL/B/tfBjToNw/6PoxBs2NV/CoWbVnE1pStuDu6c3v/25kZM5Me3j1ae9SK0m7ZeFC1kDZYm6n6S2nLDEYDK2NX8uK/L3Ik5whhfmE8Pupxbgi7Ab3uPOulhICkb2DHHChJgx53Q/8XwcGrZQav2LYByC6GT3J6240K5CqHX5EBVeV+PAFUz5q6ELljXwMJIUjKLqoKpvaeyKnqN+Xh4nBaMBXq3wFdHTdsz7Xrn2K7LBVUOQALgHuByrmm5cjN5+cJIQwWGKtVUYWSojRMfX6IyL5WBWw5nMGmQxkcSs0H5PTdIT39GRkQQPgmb+xW6GAzco175a6Bl2O9SwOFgMQvYPfDUJwMIZOh/8tkCEfe3vE2y7YvI70wnV4+vZgdM5vbom6jg2OH1h61orR7Nh5UtcnaTNVfSntQYargy31f8vw/zxOfGU9P7548OvJRbom8BXv9eXYqKy+A2Kfk5iyOvmAsg/L8s49z6gjXpDfPG1BsjwY4IGdCXQ/0RwZUq4F8ZM09HFl3TwCiaPCsKZMQnMgsJLZGMJVbJFuCeLs5EhEsQ6nIEG+Cfd3USoJ2ziJBVY2TuQDdzV8eFUIUN3F8VksVSorS/LILStl65CSbD51k17FMyipMODvoGdjNj3H2nRn4jx9On+khDXknZwoytBqA9SwNzNkh+1BlbgCvATBwEdsrnFm8ZTGf7/2cclM5l/a4lDlD5nBx94vrN8VfUZQWYctBVaW2Vpup+ktpT0zCxHcHvuO59c+xK30XIR4hzBsxj+kDpuNk53TuF+fsgm33QvbWuo+5ueGf95Q2yETtDc5dgKuAa5CzpjwbeFohOJ5xSi7jS8xmb1Iu+cXyHomvuxORNYKpzt6uKphSTmPRoKo9UYWSorSssnIju45nseXwSbYcziC7oAydBmGBXlyRF8qgf/1w+dUOrUyDCKqXBnZspQGXpMOex+WOfk5+lEc8y9clHVi8bQmbkjfh5uDG9P7TmRUzi14+vVppkIqinEtbCKraGlV/Ke2REIJfj/zK/PXz2Zy8mUC3QB4e/jB3D7wbVwfXul9oMsLn52isroKq9qsE+Av4EfgJSK3lGB0wElhXv1MaTXLH75ozpgpLywHo6OlMZLAPESHeRIb4EODprIIp5ZwaHVRpmvYDcIsQ4pT593USQlzZtGFaH1UoKUrrMQnB0fRTbDqYwZbDGRxJPwVAd0d3Jif1YOA/vrjusZeLXS5DhlYTkVOam5uxDA4uhr3zwVTKydC7eKfEm2W7PiC1IJUe3j2YHTObaf2n4e7o3gIDUhSlsWwtqGoPtZmqv5T2TAjB2oS1PLf+OdYmrMXXxZcHhz7IzJiZddcUn54jDFBBVfuSjgylfkQu6SsB3IBLgK9rHOeAnGE1Hdmzqo5+sBVGE0fS80+bMVVcJnfg6+Ttclow5e9hkxvNKq2orhqsPnuaZgOixu8VRVFahE7T6BnoQc9AD24d04uT+SVVM63+V7Gb8mtN9B7vwc1HezJggy+OP+jl1rg1lwZamhCQ8hPsfBAKj7DTfRSLS3z57M/3MBgNXNL9Et694l0m9JiglvcpitJcVG2mKG2YpmmM6zqOcV3HseHEBp7/53keW/MY/9v4P+bEzOH+offj7dyArtb5+8Gjb/MNWGldAohFBlM/ApWrQIOB24ErgDHIHq8aGO0FFZj4IyqJ369M5pqrujIuoLqfbLnRxKHUvKpgal9SLqXmjZK6+LgyJqyTbH4e7IOv+3mWpipKI6mlf+eh7ugpinUqMVSw61gWmw5lsPXISU6dKmfwMT+uPdCV8N0+6Ms12QByGnAz4G+Bi+bHw44HKE/7g2+NnVlc7MGGjHhc7V2Z1n8as2Jm0ce3jwUupChKS7K1GVXtgaq/FOV0O1J38Pw/z/PtgW9xc3BjxqAZPDjsQTq6mXsfnGtGlWYHve+HiKfAXs3ybhPKgL+pDqdOmB+PQQZTVwCRnNXLtaCPgfWeaawYfZjcDrLBuaOdjmuGdsVOrycuMZv9ybmUVZgACPXrUDVbKiLYGy83a93RSLFVltr1LxhIErW8SNO0YCHEiVpeZtNUoaQo1s8kBAdT8th0KIMth06SnVjKmLhOTIwLpusJd4SdgMtAm67JpYHn2UjnLIZciH2GrANLeLfAgTcLnEguyaObVzdmDZ7F9AHT8XTytPwbUxSlRdhyUNVWazNVfylK7fae3MsL/7zAF/u+wEHvwN3Rd/PwiIcJ+nMQlGZUHZdWAfOzYZNBz64x0+Do++AcCP0XQOjNoPoG2Z5M4BdkMPU7UAg4Axchg6mJQOC5TzF18RpO5pfU+pwGdO3oTqQ5mAoP9sbDpSX6aSjtmaWCKiMQKIQ4ecbjPsBJIURt+wjYNFUoKYrtSc8tZsvhDDYdOsmprWWM3dmZC/cE4VXoiMHbiDYF7O/QyxlX52KqgKPvsnvLo7yRmc8nhXrKTEYu7HYhc2LmcFnPy9Dr2tw/e4rS7th4UNUmazNVfynKuR3KPsRL/77EitgV6DQd06KmMW/kPJztnJm/fj7Ldy/HJEwYjAbE0wKytsL2WZCzDfxGwqA3wKt/a78N5VwEsJ/qWVObkDv3dQIuR4ZT45Fh1TmUlhvZn5xLbEI2n/57pM7jVj10MR2cG3o3V1GaxlJBlQnoKITIPOPxECBeCHGO7SgaRtO0CcAiZIu394QQL53xvCPwMTAQ2Z/hRiFEgvm5R4E7ACMwRwjxe33OWRtVKCmKbSsqK2fH0Sy2xmdQ/ouJkVsCGXqwI/ZGHXm9ytBN13BfdhR6roVJ88ErnbQK+L9s+L0Ygu1hfQm42Dlxa9Q0Zg+ZTT+/fq39thRFsSAbD6parDZrSar+UpT6SchL4H8b/sd7O9+j3FSOXtOj03SUm8qrjhFPmz/vCZPcpXj3I2DIgR73QdR8cPBqpdErZykH/qE6nDpqfnwAMpi60vz7c7RBrRlM7UnM5mBKHhUmgU4DnU6jwnj2539/D2dWzBln2feiKPXQpKBK07TF5t/OBJYDxTWe1iNXwxqEECMsMFY0TdMDh5ATGZOBbcBNQoj4GsfMACKFEPdqmjYZmCSEuFHTtH7AZ+YxdQL+BCr3hD/nOWujCiVFaTuMJhPxyXns3p6F/nONwf/60zPNQz6pGUlzT+LxyTezInATFebXhLr5M2vYw9w+4A68nFUhpyhtkS0GVS1dm7U0VX8pSsMMfW8oW1K21PpcVVBVyZALsU/B4TfBwRuiXoTut4PaBKZ15AK/IoOpX4F8ZOPzcchw6nKgS90vP1cw1TPQs2opX1iwF1sOnWThz3GUmZujAzja65k7MYJxEZ3rvoiiNJOm7PoHEFF5HqAvYKjxnAHYCbzSpBGeLgY4IoQ4BqBp2ufAVUDNUOkq4Bnz71cBSzRN08yPfy6EKAOOa5p2xHw+6nFORVHaML1OR0SwNxHB3nANpGQXsfrXZMLv0zP3krl8HfY1Rs142muOPJCqlvcpimKNWro2UxTFin03+Tvmr5vPB7s/oNxYjlFU1zOr4lcxqc+k6nrGwUsu/et+p1wOuPUuOPIODFoCvjF1XEGxqMNUz5r6B7kOyB+4Bjlr6kLArfaXlpYbiU/KJTYxm9jTgim5W/akIV2JCvWhXxcvXB1PX8pXGUYtX3uQzPwS/DycmT62twqpFKtTr6BKCDEWQNO05cD9QohTzToq6Awk1fg6GRhS1zFCiApN0/KRG9N3Bjaf8drKv3nnOycAmqbdDdwNEBwc3Lh3oCiK1Qv0dmbnoL/oN/M28pzzaj3m1xuSqZhsImyEN90D3NGp5qOKoliBVqjNFEWxYgFuASyduJQnL3iS+etkjyqD0YBRGLn+q+vp5tWNB4c+yLT+03B1MK8I9oqCC9dDwqew6yH4Ywh0v0POsHLya9031NZUIHtMVYZTB8yPhwP/RYZTMdS6pK/UUEF8cl6twVSvTucOpmozLqKzCqYUq1ffGVUACCGma5pmp2nacCAYcDjj+Y8tObjWIoR4B3gH5NTzVh6OoigWdqrsFMt3LeeNza9yND+JgIoAhiQNYU/AHkyaCYNd9cSEy78OwfSNIDY0m3eGxFN+lYmoSF+iu/ni5qQaTiqK0rraS22mKEr9nBlYbUjawFMXPMWCjQuY9essnvr7KWYOnsnMwTPp6NZR7v7XdQoEXQF758OBhXDia4icDz3vBV2DPi4qNZ1C7s73I/AzkIPcefoCYAZySV/Xs19Waqhgn3kpX9yJnLOCqWuGdiMyxJuwLt64OKrvj9I2Nej/bE3T+iD/qnVFTjU3ms9RDpQhm5tbQgqnr8QNMj9W2zHJmqbZAR7Ipurneu35zqkoSht2NOcob2x9gw92vU+BoZBhTvB8kCvX3H0Ce52R9A6pzL9+Gss7/YMR8zqaI1D2gZFeKzzp/7kvZV8b2dgnnf/1303JmAoG9fZjUHd/unXsgKZmWymK0sJasDZTFMWGVAZWlSb1mcTGpI0s2LiA59Y/x/82/I/bom7jwWEP0tu3N9i7w4AF0O122DEHdsyGo+/K5YD+o1rxnVipAcAw4EkgsMbjCch/kX8A1iH/JfYGLkPOmroEcD/9VDWDqdjEHA6m5mE0B1O9VTCltFMN3fXvNyAPuaNeOtAfGRAtA54QQqy2yKBk8HQIueFmCrLx+c1CiH01jpkJRNRopn6NEOIGTdPCgE+pbqb+F9ATWbyd85y1Uc08FcW2CSFYm7CWhZsX8tOhn9BrOm50t+N+DwODw++DyGehTyr0WC93/fPMIL0C5ufAxjI7ds0z75ojgM1g+khg+lxgl68j393AX2HJ/BWVQl4vA4N6+DG4hx8DuvnWa+q1oijWwRabqVdqqdqspan6S1Gaz8Gsg7y26TU+2vMRBqOBK3tfyUPDH2JElxHyppsQkPQN7HwAipMgdAr0/x+4dGrtoVsPDTl/VQdcipwOsQbYa36+NzKYugIZaNXIl84XTEWG+BAZ6kO/IC8VTCltXpN2/atxkmzgAiHEXnNPqBghxEFN0y4A3hBCRFpwwJcBC5E713wghHhe07Rnge1CiB80TXMCViDz7Bxgco1G6Y8DtyNXA88VQvxa1znPNw5VKCmKbSopL+GTuE9YtGURe0/uxc/Zi3u8nLjPMY1OgSNlE1Gv/o07eRnwC7ACxE8CrVwjM6iE38KT+D0siRyvMsK6eBHTw5/BPfwJ8XNTs60UxYrZeFDVYrVZS1L1l6I0v5NFJ1mydQlLty0lpySHoUFDeWjYQ1zd52rZeL2iGPa9CPsXgM4eIp6GXnNA73D+k7dl5ZyxyNosENnleApymoRZiaGC+KRc9ph7TB1KzcdoEuh1cilfZLAMpsK6eOHsoIIppX2xVFCVAwwSQhwz76Z3txBijaZp3YE4IYSL5YZsHVShpCi2JflUMm9ue5N3drxDdkk2Uf5h3O/vyU0lG3By7SSntYfcJHsyWEIO8CVycc0mEJogrX8xqyOS+bbLcUocjfi5OzG4h7+cbdXVVxUhimJlbDyoapO1maq/FKXlFBmK+HD3h7y2+TWO5R6ju1d3HhwmG6+72LtAwVE5uyrlR3DvAwMXQ+BFrT3sllUCrAa+QS7ryz37EKEJtFEaJavPE0yF+BAVIpufq5pQae8sFVStB14XQnyradqnyF32XgDuAiJt9a7duahCSVFsw+bkzSzcvJCv93+NSZi4qtcV3B/YmdEZK9BMpdDnQQh7HOw7NN8gjgArkXM9j4FwFqReUMzfA1L42u04RcYK7HQa4SHeDO7uT0wPP7r4qtlWitLabDyoapO1maq/FKXlGU1GvjvwHQs2LmBLyhZ8nH1k4/WYmfi7+kPKz7Djfig8Cl2ugejXwDWktYfdfE4hZ9B/Y/5vEeCJXM63ovowg96I0GB1dBKrr0rmsDhVFUz17uRJRIi3CqYUpQ6WCqouAVyFEN9omtYNuX9BbyALuEEI8beFxms1VKGkKNbLYDSwKn4Vi7YsYmvKVjwcPbhjwB3M6tqfrodehFP7IfBSGLgQ3Hu13MAEcgviFcAXQC6IjoLMy0v5d1Aav4kkErMKAejo6czg7n4M7uFP/1AfnFQBoygtzsaDqjZZm6n6S1FajxCCDUkbWLBxAT8c/AEnO6eqxuu9PIPhwGuw9zl5cL9Hod/DoHdq3UFbShayGfrXyBlUBsAfmARcA4yBUipwcrSrCqh+H5DEp2OOkNuhDDu9juuGdpVL+YK8VF2nKOdhkaCqjhN7A7miqSeyUqpQUhTrk1mUyds73ubNbW+SVphGL59ezImZw209x+K290nZANStG0QvhM6XW26ZX2OUIT82rjD/txwIh8Lry9kyKIP1BensPp5FabkRe72OyBBvBvWQs606e7uq2VaK0gJsOaiqTVuozVT9pSjW4UDWAV7b9Bof7/kYg9HAVX2u4uHhDzPcOwh2PQQnvrKemquxUoDvkDOn1iH3Tg1BBlPXQOkgI/GpucQmZrMnIZuDqXksXjKC+C65VQFVJQ347cmJLf8eFMVGNVtQ1dapQklRrEdsRiyLNi/ik7hPKDOWcXH3i5k7ZC6XhI5Gd+AViH8J0EHYY9D3P9Z3dy+b6n5Wm5HVzDiouNnE3kG5bMnIYNvhkyRlFwEQ6OXC4B5+xPTwJzLEB0d7feuNXVHasLYWVLUFqv5SFOuSUZjBkq1LeHP7m+SU5DAsaBgPDX+Iqzzc0O+cK2exd7pMBlbuPc93utZ3BPgWGU5tNj/WF7gGDFcaiffNZc8JczCVkkfFGbvy/b47ibxiw1mn9fdwZsWccS33PhTFxjU6qNI07QfgFiHEKfPv6ySEuLJpw7Q+qlBSlNZlNBn58dCPLNqyiL8T/sbF3oVbI29lzpA59PXtA8nfwc4HoSgBgm+AAa+Aa5fWHvb5Haa6n9VxwAU5rXwqpEcXsy3xJFuPZLLneBZlFSYc7HREhfpULRPs5O1adao1cSksX3uQzPwS/DycmT62N+MiOrfK21IUW2RrQVV7qM1U/aUo1qnIUMTy3ct5bdNrHM87Tg/vHjw45H6mORfhvP95MJVB34fkTUM71/OfsKUIYC8ymPoGiDU/PhAqrjZxZOgpttqdJDYxmwMpeZQbTeg06BnoSWSIN1GhPoR18cbFUS7lWxOXwsKf4ygrN1ZdwtFez9yJEaoGU5QGaEpQtRyYI4Qo0DTtQ+Rf81oJIaY3daDWRhVKitI68kvz+WDXB7yx9Q2O5x0n2COYWYNncWf0nXg5e0H+AdgxB9JXg0c4DFoMHce29rAbTgAbqe5nlQcEADcDt4IhzEhsYg7bjpxk25FMUnLkbKvO3q4M7uGHvV7HD9sSKKswVZ1SFUqK0jA2GFS1+dpM1V+KYt2MJiPf7P+GBRsXsC11G74uvszsfyszHZLxS/kSXIJks/Uu17XeckATsI3qcOoIoIFpuCB9XDFb+mWw0ZDB/uTqYKpHgAeRoXJXvrBgL1wd7es8vbpRqChNp5b+NZIqlBSlZR3OPsziLYv5cM+HFBoKGRk8krlD5nJVn6uw09lB+SmIexYOLpJ36iKfhZ4zQNcGmlWWUt3P6hdkP6sIYCoyuOoMKTlFbD9ykm1HM9mTkI2hRkBVk5p6rij1Z2tBVXug6i9FsQ1CCP458Q+vbHyFHw/9iJOdE9N6T+BB/UF6luyHjuNg0Bvg0a9lBlQB/IMMpr4FUkDYCQqHVxA/OIc/QpLZWngSQ4UJDege4F4VTIUHe+PmVHcwpSiK5Vlq17/vkB+hfhRCnL0otw1ShZKiND8hBKuPrWbRlkX8cvgXHPQOTA6fzP1D7ic6MNp8kAmOr4Td86A0A7rfDlEvgJN/6w6+uWQhZ1itALYg+1mNR4ZW1wBuUFpu5KqXfqvzFE9cG01UVx/cnR1aYMCKYrtsOahqq7WZqr8Uxfbsz9wvG6/Hfky5sZyrgyJ52P4Yw+xLoPcciHga7N0tf+Ey4E9kOPU9kA0mR0FKTBEb+2Xwnf8xcuwNaEC3jqcHUx2cVTClKK3JUkHVp8CVyPv8XwMrhBDrLDZKK6QKJUVpPsXlxazYs4LFWxcTnxlPR9eO3DfoPu4ddC8d3TpWH5izA7bPhqxN4BMDg5aAz+DWG3hLO4TsZ7WS6n5W1wBTIfH2AmI7ZfPpmCPknLHrjAB0GvTq5El0N18GdvOjT2dP7PS6VngTimK9bDyoapO1maq/FMV2pRemy8br294ktzSX4Z4dedg5gyt8/NEPWABdbwGtibVIIfAb8A2InwRagYbB1Uh8VC6/dk1iU9cMyhyMdPXvQFRlMBXirW7eKYqVsdjSP03TXJEtf28GLgTSgM+AlUKIvRYYq1VRhZKiWN6J/BMs3bqUd3e+S25pLtGB0dw/5H5uDLsRRzvH6gNLs2DPY3D0PXDyg/4vQ9dbm17c2CoBbEDuGvglkC8fNmomjDrB79FJfDrmCEXeFcy5LIxAL1d2Hstix7FMDqbkYRLg4mBHVKgPA7v7Et3Nj05eLmi2uJW0oliQLQdV0DZrM1V/KYrtKzIU8cGuD3ht82sk5CXQ08mJ/7iXcmvoEJyHLAPvAQ07YS7wI4ivBeJ30JVpFHUoZ0OfdNb1TmNPt2w6B7oSGepNVIgPESE+eLioYEpRrFmz9KjSNM0PuBG4F+gjhGgDTWJOpwolRbEMIQQbkzayaMsivtn/DQLBNX2v4f4h9zOiy4jTwxJTBRx+C2KfhIoC6GWeLu7g0XpvwNqUAj8B11c/ZEJg0gkyLy0h8F1XCKx+rrC0nN3Hs9hhDq4y8koACPB0JrqbHwO7+dK/q6/qzaC0S7YeVNXUnLWZpmkTgEWAHnhPCPHSGc87IqP0gUA2cKMQIsH83KPAHYAR2Qj+93NdS9VfitJ2VJgqqhqvb0/djp9eY5YnzBhwG763PAjd/4FJ88ErnbQKmJ8Nmwx27JpXDulg+sZEyRdGnDfYoTNqZHmU8E/fdDb0Tacg2kBEdx9zMOWNp6vjecejKIr1sHhQpWmaE3AVcAtwCZAihOjapFFaIVUoKUrjpRWk8cy6Z/jt8G/4ufqxI20Hnk6e3BV9FzMHzyTEM+TsF51cL5f55cVCx/FyN7+WasBpi+qaDOUOvIgMsvxOf0oIQWpuMTuPZbLjaBZ7ErIpNlSg06B3Z08GdvMjupsvfTp7ote109lrSrvSVoKq5qzNNE3TIxciXwQkI/fSukkIEV/jmBlApBDiXk3TJgOThBA3aprWDznDKwbohOwm00sIYTzzOpVU/aUobY8QgvWJ63llw4v8dOR3nDWYvmUGD2ybgWuFM/Ovn8byTv9gAgxA5jfFeMc5oRMayT6F/NsvnSPD8nEf7UBUqA+RIT54ualgSlFsmaV6VGnIAmUKcDXyrthXyKnl/1hmqNZFFUqK0nBpBWk8+tejfBL3CRWmCgD6+vZlzpA5TI2ciquD69kvKk6GXQ9D4ufgEmze0via1tvS2FbU/ONxAHRAFHJ6/CHkvIeLkf9qXwW4nX2KCqOJAyl57DAHV4dS8xCAq6Md/UN9GNjdj4Hd/AjwcmnmN6MorcOWg6qWqs00TRsGPCOEuMT89aMAQogXaxzzu/mYTZqm2QHpyKj8kZrH1jyuruup+ktR2rb4zHhe+/sJPo79iXJ9OTqhQ2/SU25XXnXMkbfyiBuYQ+Gl5QSNdiMi1BufDk6tOGpFUSytrhqsodPB05D36X8FpgE/t6UdZhRFaZq0gjTu/+1+vtn/DcYzbpTvm7Gv9l5IxjI48Brse14u+Qt/CvrNAzsVitSbAzKQmg48CQQg+1nFAZ+af90COCPDqinI8MrctsFOryM82JvwYG9uG9ObUyUGdh/PZsexTHYey2LDwQwAOnm7VM22igr1wdVRLRNUFCvQUrVZZyCpxtfJwJC6jhFCVGialg/4mB/ffMZrO595AU3T7gbuBggODrbYwBVFsS4mIXAyBXGDbhH70tLYErQFk86ESWc67TjPQ45c3aHNLdhRFKUeGhpUPQl8JYTIa4axKIpio4wmIz8d+onbvruN/LL8Wo+pNaRK+Rl2zIXCIxB0tZxF5aYKkgbpDwynOqCqpAGR5l8vIJuwf4pswv454I1cFjgFGIGciWXm7uzA6H6BjO4XiBCC5OwiuUzwWBar9yTz4/ZEdJpG3yC5THBgd196Bnqi16nZb4rSCtpMbSaEeAd4B+SMqlYejqIoFiKEIDGzkD2J2SRsK8D7F0eG7PLn4tQuRLp9y/zR8/lgwAeU68ox6qtvdC7a+gz3xsyhU4dOrTh6RVFaQ5OaqbcHauq5otStoKyA5buXs3jLYo7mHqVzh84EewSzK30XJmHCYKy+qS+ervFvTcERGVCl/gzuvWHgYgi8uOXfQHtkAFYDnwDfA8VAF+AmZGgVQd19r4Byo4n9ybnsOCpnWx1Oy0cAbk72DOjqU9WYvaOnmhGn2A5bXvrXUtTSP0VR6ksIQVJ2EXsSstmTkE1SbCEDtvkwem8n+iV7AZDfz4BuMnR4ygHsSknvkFrVo6ocqECWI3pNz3X9rmP2kDkMCxqmdipWlDbGYs3UNU27FJgFdAUuEUIkaZp2J3BcCPGXRUZrRVShpChnO557nDe2vsH7u97nVNkpRnQZwdyhc7m6z9XY6exIL0xn/rr5LN+9HKMwYjAaZFBVXgj7XoADr4LOQe7k12sO6NXWwa2iEPgBGVr9juxsE4bc4P4m5L/y55FfbGDX8ayqxuxZBaUABHm7Et3dl4Hd/IgM8cHFsc1tCqu0IbYeVLVEbWYOng4B44EUZDP1m4UQ+2ocMxOIqNFM/RohxA2apoUh53RWNlP/C+ipmqkrStsghCA1p5g9iTKYik3MxpQuGLUvkAv3d6b3cU80oVEebsLuJg3tRg26m1/cNQ56rJe7/nlmkF4B83NgY6mer/v0Y2liHO8X6Mk3GhkYOJDZMbO5MfxGnOxUrypFaQss1Ux9CvAW8B5y2+MwIcQxTdPuQRYjl1hqwNZCFUqKIgkh+PfEvyzcspDvDnyHTtNxQ9gN3D/kfmI6x9T6msrAamPSRnZN+K9sll6SAqFTYcDL4BzYwu9CqVMmsAr5UfJf82PDkaHV9YD/+U8hhCApq5Adx2RwtScxh7JyI3qdRr8gL3NTdl+6B3ig12msiUth+dqDZOaX4OfhzPSxvRkXcVbbGkVpdrYcVLVkbaZp2mXAQmRXvA+EEM9rmvYssF0I8YN518EVwAAgB5gshDhmfu3jwO3IiRJzhRC/nutaqv5SFOslhCA9r4Q9CVnmYCqHrIJS3IvsufhYFy46EETIPjc0k4boJ2QwdSPQu6EXMsHxFRTunMfKkxm8UexBfFE+fi5+3D3wbu4bdB+d3VXdoCi2zFJB1R7gRSHE55qmFQBR5mIoCvhDCNHRckO2DqpQUto7g9HAl/u+ZOHmhexI24G3szf3DLyHGYNnEOQedPrB3wRAacbZJ9HsQZSD1wAYtAT8hrfM4JXGSUD2sfoE2Iv8SFq5p9hVQIf6ncZQYSQ+OZedR7PYcSyTI+mnAHB3tqeTlwtHMk5RYaz+GeRor2fuxAgVViktzsaDqjZZm6n6S1GsS0ZezRlTOZzMLwGgk86Fa1K7MmRXR/y2OqEZNeiJDKZuBMItcPHyQoh/GbF/AWuKBYvLQ/kx/TA6Tce1/a5lTswchncZrpYFKooNslRQVQz0FUIknlEMdQf2CiGcLTdk66AKJaW9yizK5O0db7N021LSC9Pp69uXuUPnckvkLbjY19F/6NNzFAiD34Lud4JO3zwDVppHzZ0DTyB3DrwSOdNqAlU7B9ZHXlEZO49lsfNYFn/FJWOq5cePbwcnPpk7vunjVpQGsPGgqk3WZqr+UpTWlXmqpKrHVGxiNul5Mphyd7ZnkJ8fFyUG0WeDF85r9WjlGoRSHU7155z9LhutKBF2PwKJn3NM15E39dG8f2wTeaV5DAgYwOyY2dwUcZNaFqgoNsRSQdUR4D4hxOoziqHpwH+EEJbIzK2KKpSU9mbvyb0s2ryIlXErKa0oZUKPCcwdMpeLu198/jtV5wqqblYbN9g0E7CR6p0DswEv5LLAm4FRnLZz4PlMmP8zdf0f0SPAnf5dfekf6kNEsDdODqq/ldK8bDyoapO1maq/FKVlZReUymAqUQZTqTnFgNwsJSrEmwEdfRlywB+/353RftGgDAgCbkCGU4NpnnCqNpkb5KY8Odsp8hzIJy7jWRz/M/sy9+Hr4svd0Xdz3+D7zp75ryiK1amrBmto9f8OsNjcoBOgi6Zpo4D/Ac80bYiKorQWkzDx6+FfWbhlIX8e+xNnO2dui7qN+4fcT1+/vq09PMUa6ICR5l+LqN45cCXyJ0MQsgH7zUAU5y1W/Tycq5YN1OTqaIeLox3fb01g1aZj2Ok0enf2ZEBXX/p39aVPZ0/s9Q1IxBSl7VO1maIoDZZbWHZa8/Pk7CJA/hyOCPHhioEh9O/oQ+hOd3RfavATcqfgAOBuZDg1jAbdpLIYvxFwyRY4vhLXPY9yd97/uCtyMmt9HueN2C95acNLvLzhZa7pew2zY2YzMnikWhaoKDamMbv+PQ88AFTOqSwDXhFCPGnhsVkFdUdPacsKDYV8vOdjFm1ZxKHsQ3Tu0JlZMbO4K/oufFx86n+ishzY8zgceavuY9SMqrapCLlz4KfAb8g2yf2o3jmwW+0vWxOXwsKf4ygrr970q2aPqtJyI/tO5LA7IZvdx7M4nJaPAJzs9YQHe9M/1If+XX3pHuCOThWfShPZ8owqaJu1maq/FKXhzrVJSV5RGXGJOVXh1ImsQgBcHOwID/EmMsSb/qG+dPN0R/+nBl8A3yN3CPYFrkOGU6OQvSutRXkh7P8f7F8gv+77MAmdJvPmrg95b+d75Jbm0j+gv1wWGH4TzvY2uRpaUdosiyz9q3EyF+RHER0QL4QobPoQrZMqlJS26ET+CZZsXcK7O98lrzSPwZ0G88DQB7iu33XY6+3rfyJhgmPLZb8AQ478ui4qqGr7sqjeOfAf82PDkKHVDZy1c2BDdv0rKCknNjGbXcezTiuwOzjbExUiQ6sBXX3o7O2q7poqDWbrQRW0vdpM1V+K0jC13QCy12tEBPuQU1hGQmYBUH3DJzLEh6hQH3oGuqM36uAvZDj1LZCPXN5/DTKcGkvD1+G0tKITsHseJH4Ozp2g/0sUd57EJ3GfsXjrYvae3IuPsw93Rd/FfYPvI9gjuLVHrCgKFg6q2hNVKClthRCCzcmbWbhlIV/Hfw3Atf2uZe6QuQwNGtrwD/c5O2HbDMjeIqdgD1oKay+pfdc/p45wTboF3oViMxKROwd+CsQi775eiNw58GpgNDLEehIIbPjpswtK2X08i13mGVeZp0oB8HV3krOtQn0Z0NUXX3fVUFU5v7YQVLU1qv5SlIaZsugvssw/C88U3c2XqBAfIkN96BXogZ1eB0bgb2Q49Q2y92QHYBIynLqQBm2YYjUyN5r7V20D78EwcCHCdxjrEtexeMtivj/4PQCT+kxizpA5jAoepW5wKUoranRQpWnaB/W9iBDi9kaMzaqpQkmxdeXGclbFr2LhloVsTdmKh6MHdw+8m1kxsxp3N8mQC3uegMPLwMkP+i+ArlNB/ZBX6rKX6p0DE5GLk0qRd2ftgOk0OrACGcKm5hbL4Op4NnsSsjhVUg5AkI9r1TLBqFAf3J1tsepWmputBVXtoTZT9ZeinFtRaTlxJ+RSvtiEbI6kn6r1OA347cmJ8gsTsAF5I2kVcBJwBa5AhlMTqF5AbMuECRI+kTP+S1IhZDL0fwlcQ0jMS+TNbW/y3q73yCnJIbJjJLNjZnNzxM1172qtKEqzaUpQ9eMZD41G/jMXZ/46HDnNfL0Q4koLjNWqqEJJsVXZxdm8u/NdlmxdQkpBCj29e3L/kPu5rf9tuDm4NfyEwgTHPpLTqg3Z0HMmRD4LDp4WH7vSRglgEzKwWlrjcR3VgdXTNDqwqmQSguMZp6r6W8Um5lBabkQDuge4M8AcWqkdBZVKNhhUtfnaTNVfinK64rIK9p7IIdbcY+pIej4mAfZ6HX2DPLnvkTD2BeXw6Zgj5HQoq3qdv7szK4aMkzOnvgJSkGHU5chl+ROBtprPVBRB/P9kDyuAPg9Bv3lg70ZxeTGfxn3KG1vfIDYjFm9nb+6KvosZg2eoZYGK0oIssvRP07RHgQHAdCFEkfkxV+B9IE4I8byFxms1VKGk2Jr9mftZtGURH+/5mJKKEi7sdiFzh8zl0p6XotMauTVL7m65zC9rE/gOh8FLwau/JYettDd1TcALRN7pHYnFdhKqMJo4mJpXNdsqPimXCpPATqfRJ8iLAeYZV73VjoLtlq0FVTW11dpM1V9Ke1diqAymctiTkM3htHxMQmCv19Gns2dVj6m+QZ442OlBA4PeiNDgj/5JbOybzuBEfy49Eoxzqp1cxncpcubUFUAj7lnarKITsPtRSPxU9q+KehG63gKaDiEE6xPX88bWN/j2wLcAXN3nambHzOaCkAvUskBFaWaWCqrSgPFCiPgzHg8D/hJCBDR5pFZGFUqKLRBC8MfRP1i4ZSG/HfkNR70jt0Tewv1D7ieiY0TjT2zIg9gn4fCb4OADA/4HXW+FxgZeilKpZt1XuRqvC/JObynQGbgemAzEUHew1QiVOwruOp7F7oRsjpy5o2BXHwaE+tJN7SjYbth4UNUmazNVfyntTamhgn1JuVVL+Q6mymDKTqfRu7NnVY+pvkFeONnXsu1ejR9XAoGGhtAE2hgNpgFXAR4t816sVuYm2DkXsreC9yAYuFD2WTU7kX+CZduW8c7Od8gpySHCP4LZMbOZEjlFLQtUlGZiqaCqAJgkhPjzjMcvBL4RQrg3eaRWRhVKijUrLi9mZexKFm5eyP6s/QS4BTBz8EzuGXgPfq5+jT+xMMHxFbD7v1CWBT3ug6j54OBlucEr7ZuGDKj0VPeoCkBug/0jconCr4ABCEXeAb4R6I9FQyuAUyUG4hLNwdXxLJKyi4C6dxRsyG6Fim2w8aCqTdZmqv5S2rrSciPxSblVS/kOpuZhNAn0Oo1enTyqgqmwIK9zL1PPQM5EnlvLczrkDOV1zfEObJQwQcKn5v5VKRB8Iwx4GVxDqg4pKS+pWha4J2MPXk5e3Bl9JzMGzyDUM7T1xq4obZClgqoPgfHAw8Bm88NDgZeBtUKIaU0eqZVRhZJijVJOpbB021Le3vE2OSU5DAgYwANDH+CGsBtwtHNs2slz98D2mZC5AXyGymV+3tGWGbiiVBoADKc6oKpNHvA9sgBfjdyhqBdyltWNQL/mGVrWqVJ2J2RV9biquaNggIczB1LzqDBW/+x0tNczd2KECqtsmI0HVR/SBmszVX8pbU1ZuZH9KbnsScgmNjGHA8lyGbpOk8FU5VK+sC5eOJ+vf2IR8B2wkuqfjzXVdiNIOV1FEcQvMPevEtDnP9DvEbCvXhMphODfE/+yeOtivt3/LQLBlb2vZE7MHMaEjjltWWBaQRrz189nU/Imdt2zqxXekKLYJksFVc7Aq8DtgL354QpkH4SHhBDFFhirVVGFkmINKn/4/XXsLwZ1HsSX+77EaDJydZ+reWDoA4wMHtn0NfSGfIh9Cg4vAQdv6P8ydJumlvkp1iELuX32F8BaZGP2CKpnWvVonssKIUjNKWZXgpxt9e+BdGr7senbwYlP5o5vnkEozc7Gg6o2WZup+kuxdYYKIwdS8szBVDb7k/MoN5rQadAjUM6Yigr1oV8XL1wd7c9/wgrgL2Q49S0yrAoGpgC3AGGogKoxipJgz6Nyl0DnQHP/qqln1b9J+Uks276Md3a8Q3ZJNuH+4cyOmc34ruN5ddOrLN+9HJMwYTAaEE/X//O1orR3FgmqapzMFehu/vJoZfNOS9A0zRv5USQUSABuEELk1nLcbcAT5i+fE0J8ZH58IPAh4Az8AtwvhBCapi1Atg40AEeRTUfzzjceVSgprSmtII3/W/d/fLDrAypMFQgEHRw6cGf0ncyKmUU3r25Nv4gQkLASdj0MpSeh530QOR8cvZt+bkVpDmnIbbW/QG6zDTAQOdPqBmTh3kwmzP+Zun5qdvJ2kXfEQ3yICPHGz925+QaiWJQtB1WVmrM2aw2q/lJsjaHCyMHUfGITstmTmM3+5FwMFaaqHWejQmUwFd7FG1enegRTIG/K7EKGU58B6cg+Uzcgw6maG4/UZ6ayUreszbBjLmRvAe+BEL0Q/EeedVhJeQmf7/2cVze9yr7MfQDoNT1GUT2tTQVVilJ/Fg2qmpOmaf8DcoQQL2ma9gjgJYSYd8Yx3sB2YBDyn/AdwEAhRK6maVuBOcAWZFC1WAjxq6ZpFwNrhBAVmqa9DHDmeWujCiWlNaQVpPHEmif4OPZjKkwVpz2X/0g+7o4WajmSFyd388v8F3yGmJf5DbTMuRWlJZxAbrf9OfKnAshC/UZkM/ZAy15u6uI1nMwvOetxNyc7woN92Hsim8JS+Xc20MtF9hgJ8SYixAd/DxVcWau2EFS1Nar+UqxdudHEoVQ5Y2pPYjb7k3IpMwdT3TrKYCrSfOPCrb7BVKUE4FNkQLUfOVfycmQ4dRngZMl3olQRJkj4DHbPM/evukGuMHALPevQC5ZfwD8n/kHUcvuq7IkyHPQOZz2uKMrZbCmoOgiMEUKkaZoWCPwthOh9xjE3mY+5x/z128Df5l9rhRB9ajuuxusnAdcJIaacbzyqUFJa2tGco4z+cDSpBam1Pm+RuzSGfIh7Bg69AQ6e5mV+09UyP8W2HUXOsvoCiEU2Xb8AOdPqWsC36ZdYE5fCwp/jKCuvvnNas0eV0SQ4nnGK2ETZgyTujOAqMsSbyBD54UUFV9ZDBVXWR9VfSmuqbdOM0f0COZRWPWNqX1Ju1c+Crv4d5IypEB/CQ7xxd25ESJGLvPGyEvjH/NhIZDh1PaAmureciiLY/wrEvyzDq77/gX6Pnta/Kr0wnfnr5rN893KMwojBaKh6zt/Vn+n9p3NX9F109+5e2xUURTGzpaAqTwjhaf69BuRWfl3jmIcAJyHEc+avnwRKkEHVS0KIC82PjwLmCSEuP+P1PwJfCCFW1jGGu4G7AYKDgwcmJiZa7P0pSm2EEPxz4h9e3/w63x/4Hp2mo7t3dxLzEhGI0374NSmoEkLudLLrISjNgB73QNTzapmf0vbsRwZWnwMHkT07LkSGVlcDno0/dUN2/TOaBAknT7EnMYc4c3hVWFoOQICnc1VoFRWqgqvWpIIq66OCKqW11HZDQtNAr2lUmGQNFurXgchQb/NSbx88XBo5e6YMuf5jJfATskFJb2AqcDPQtSnvRGmy4mS5O2DCJ+AUAP1fhK63nnZjt7bA6qreV/HToZ8wCiMXdbuIewbew5W9r8Re38CZdYrSDlhVUKVp2p/Uvnr6ceCjmsGUpmm5QgivM17f6KBK07THkUsGrxH1ePOqUFKak8Fo4Kt9X/Ha5tfYmbYTb2dv7h14LzNjZtKpQ6daf/g1OqjK2yt38zu5HrwHw+A3wUd9LlPaOAHsoTq0SkA2m52AXB54JeBW14stzyQExzMKiE3MlsHViRwKSmRw1dEcXFX2uArwdGm5gbVzKqiyPqr+Ulqa0WTicFo+j326laLSirOed3bQ8+AVUUSGeOPp2oQdlk3I/oorgS+RO9x2BG5Czp6KRs4IVqxHzf5VXtEwcCH4jzrtkMqafWPyRnbds4uUUym8v+t93tv5HkmnkghwC+D2/rdz18C7CPUMbY13oShWyaqCqnNpzqV/mqZNA+4Bxtd3FxxVKCnNIackh7e3v82SbUtILUilt09vHhj6AFOjpuJif/aH0zN/+DVI+SmI+z84uAjsPaD/S9D9DrXMT2l/BLANGVh9CaQgt92YiJxpdZn56xZkEoKEkwXVSwUTszlVGVx5mGdchcrlgiq4aj4qqLI+qv5SmluF0cSR9Hz2JOQQm5jNvqQcSgzGOo/XgN+enNj4C+5HhlOfAImAC3ANMpwaD9g1/tRKCxACEs39q4qTQecIprKzj3PqCNekV31pNBn59civvL3jbX45/AtCCC7pcQn3DLyHy3tdjp1OfeOV9s1iQZWmaZcCM4FuwCVCiCRN0+4Ejgsh/rLAQBcA2TWaqXsLIf57xjHeyAbq0eaHdiKbqefU0kz9DSHEL5qmTQBeAy4QQmTWdzyqUFIs6WDWQRZtWcSHuz+kpKKEC7tdyANDH2BCjwnoLB0cVf5A3fUQlKRDj7sg6gVw9LHsdRTFFlXe0f4C2RPkJHJm1VXImVYXA024Yd7oYQlB4skCYk/kEJuQTdyJHPKL5dJffw/nqh5XUSE+dPR0Rq6QV5rK1oOq5q7NWoOqvxRLqzDKGVOxidnsScxh34kcSs3L+4J93ar+fX1n9X6yCkrPer2/hzMr5oxr2EXTkbv1rUR+WtEBFyHDqatp0Rm9ioVUFMP+BbLXa11urv3z9Yn8E7y/833e2/UeqQWpdO7QmTsG3MGd0XfSxaNL84xXUaycRYIqTdOmAG8B7wH3AmFCiGOapt2DXEp3iQUG6oO81x2MvN9wgzmAGgTcK4S403zc7cBj5pc9L4RYbn58EPAh8r74r8BsIYTQNO0I8mNHtvk1m4UQ955vPKpQUppKCMHahLW8tuk1fj78Mw56B6ZETGHu0LlEdoxsnovm7YPts+Dk3+A9CAYtBd+Y5rmWoti6CmAdcqbV18iGtp7AJORMq3G02p1ukxCcyCw0z7iSs64qgys/d6eq/lZyxpUKrhrLloOqlqjNWoOqv5SmqjCaqpqfx5qbn9cMpqp25Qv2xsut+s7E+TbNOK9C4DtkOLUaeWNkIDKcmkztzU8U2/PpOX7e1hFUVaowVfDToZ94e8fb/H7kdzRN47Kel3HPwHu4tMel6HV6Cw9WUayXpYKqPcCLQojPNU0rAKLMxVAU8IcQoqPlhmwdVKGkNFZZRRmf7f2M1ze/TmxGLH4ufswYPIP7Bt1HR7dm+qtSXgB7n4UDC8G+A0S9CN3vBPUDT1HqxwD8iZxp9S1QgNwt8DrkTKu5/H979x0fVZX+cfxzklACSAldqnQIvQm6dsWCAlZcK9hQ14K4rrtrF9vPVXDtqEtQwYJlLSt27IICUpLQe68JHZKQnN8f54YMIQkpk7kzk+/79ZpXMnfuzDxzM8k8ee45z4HjgPuAxqEPz1rLqi27SV697eB0ldzCVb2aVenWou7BUQGN61Q7pHBVkibwFU2EF6qiMjdT/iUllZWdw+L12w9Oow4sTLWoX+OQHoBH6jFV4r+XB3CfHRNxnx17gRa44tTlQMdgvEIJK0UVqv6c4zrwF8PK7St5ddarjJ8zno27N9KsZjOu63kd1/a4liY19Rkt0S9Yhaq9QEdr7ap8yVBrIMVaG3VLFilRkpLasmcLL898mRdmvMCmPZtIrJ/IHf3u4PKul1M1rmr5PKm1sOpdmH0n7FvvilPdHoeq9crn+UQqgv3AF7iRVp/i/vEAN3UjDrgGuB9fCla5rLWs3rqbeavSDo662r7HK1wdVdUVrVrWZU/GAd74fhEZWTkH71uiEQJRLsILVVGZmyn/kiMJLEzljpjKHQWVuypf7oipMjU/L4zFNSKZiJvetxk3GvcSXIHqeNznhUSnogpVDU6EHk9B3T7Ffris7Cw+WfQJ42aN4+vlXxNrYjm33bmM6DWCAa0HaJSVRK3CcrCSTmZYD7TDTckLdCKwrJSxiUSF1M2pPDP9GSYmT2T/gf2c1eYsRvUbxemtTi/f6Tg75rtpfpu+g4RecMKHUO/Y8ns+kYqiKq6HyBBgD27p8Etx0zgycZOtXsWtHPgc4EO9xxhDi/pH0aL+UZzXuwXWWtZs3X2wx9XsFduYmrK+wPtmZGWT9N0iFaoin3IzqRByC1NzV7pp0PPXpJFxwBXfj2lwFGd1b0aXFgnlV5jKtQJ4C1egWohbSfZcXHHqHHzpbyhhZudC+LIvNB8K3R+DGq2OeJdKsZW4sNOFXNjpQpalLePVP15l/OzxfLzoY1rUasH1Pa/nmh7X0PgoH8+OiYRQSUdU/Q0YDlyHO898LtASeAp40Fr7QjnE6Cud0ZOiWGv5atlXjJ0+li+XfUnVuKpc1fUqRvYbScf65TzOO2u3N81vrDfN7zFofb2m+YmUp8JqzpWBm4GLgX6EzVl0ay1rt+3hupd+KHSf60/vSOfmdWjTqBZxsWESeIhF+IiqqMzNlH9J5oFsFq/PbX6+jQVr0g8pTHX1pjp3aVGXWtUqB++JewD9OXSKdxpu4Y2JwM/ethNxxamLgDrBe3qJEB82gv2bDt9etSGctwTmPwkLnwZ7ANr+BTrfW+IFjTKzM/lo4UeMmzWOqSumEhcTx6D2gxjRawSntzo9+AsxifggmKv+PQrcgTvXDJABPGWtva/MUYYhJUpSkH1Z+5iUPImx08cyf8t8GtVoxF/6/IUbe99IvWrlPN3OWlj9HvwxCvatg9bXetP86pfv84rIoYWqyriC1PFALPA9bqRVE+BCXNHqOMKiaHXls1PZvGPfYdtjYwzZOS4PqFIplo5NatO5eQKdmyfQsUltqlauGMtmR3KhCqIzN1P+VfFkHshm0fq85ucL1uYVplo1rHmw/16X5gnUDGZhKj9D3t/3E72v3wJZQAfgSlzfqRblF4JEib3rIfl+WJ4EcUdB4j3Q/laILXkrkMXbFvPqrFdJmpPEtn3baFWnFdf3vJ7h3YeXX+9bkRAIWqHKe7BqQCfcn+751trdZQ8xPClRkkAbd2/kxRkv8tLMl9i6dyvdG3Xnjn53MDRxKFXiQjDWe8dCb5rft1Cnh1vNr37/8n9eEXFy/4GJxY1huY+8FZx24npZvYcb15IBHE1e0crHfiVFrWLVrWVdUtekk7I6jdQ1aSzftJMcCzHG0KZxTTo3T6BLswQSmycEd9RCGIn0QhVEX26m/Cs6FNWUPPNANovWbWeu12Nqwdp0Mg/kYIBjvMJUtxZ16VzehalAloL/TncFngQGUPjIWpHCbE+BOXfD+ilQrTl0exRaXgalGBGVcSCDDxd8yLhZ4/hh1Q9UiqnEkA5DGNFrBKccc4pGWUnECVYz9Y+AN4FPrbWZwQsvfClREoB5m+YxdvpY3kp+i6zsLM5tdy6j+o/ipBYnlU//qcKGEwNUqu0+4NqM0DQ/kVDrQd6qf0UtMb4T19PqPeBzXNGqMYcWrUL861vcVaz27M9i/lpXuEpZk86iddvJynajGprXq+FGXDWrQ+fmCTSsXS20L6KcRHKhKlpzM+Vfka+gAnml2Bj6tm3A7v1ZhxSmWjWsSdeWbipf5+YJ1IwPcVF8C25a33ggpYDbY4A/AYXPohY5so1TYfZdkP6HO+Hc41/Q6LRSP9zCrQt5ZdYrTJgzgfT96bRJaMOIXiMY1n1Y+c/wEAmSYBWq3sK1jc0CPgDetNZG9Z9sJUoVV47N4fMlnzNm+himrphKtUrVGN59OLcfeztt67Yt3ycvaiWRCzZB1Qbl+/wiEjy7gM9wRaspuNUEGwEX4IpWJxDyolVJ5PaJSV2T5o26SmdPxgEA6tesSmIz949ll+YJNK9fg5jyXDyinER4oSoqczPlX5Hvin9/y5ad+wu8rU2jml6PKTdi6qj4SiGODvcb8zmQhDuxcADoA8wI2KewEbQipWVzYNU7MPefsGcVND4LejwJtbuU+iH3Ze3j/fnvM27WOH5Z8wuVYytzYccLGdFrBCe2OLF8F3USKaNg9qiqDpwPXAacDmzALco60Vpb0DmIiKZEqeLZk7mHN+a+wb9/+zeLti2iyVFNuLXvrVzf63oS4hNCE0RRharLSj5dV0TCxG4OLVrtAxqSV7Q6kbAuWgFk51hWbt5File4SlmdRtruDACOiq9EYlM32iqxeQJtG9eiUgQ0aI/kQhVEZ26m/Cvy7M04QOqaNJJX5xW1C2KAL+4bGNrgAs3HFafeBDYBDXB9p4YDiRQ9xVskWLL3w+LnIeVROLATjhkGXR+GamVbiTd1cyrjZo3jjblvsCNjBx3qdeCGnjdwdferQ/d/jEgJBLVHVcCD1geGAjcCHay1Udd1VYlSxbFu5zpemPECL898mfT96fQ+ujd39LuDiztdTKXYEJ7py94P78YXfrsKVSLRYTeuWPUerni1D/cPU2DRKgI+Va21bNy+72DRKmV1GmvT9gBQJS6G9gEN2js1rUN8GDZoj/RCVaBoyc2Uf4W/nfsySV2dzrzV20hZlcbSjTvIsW6RhnaNa7Fqy272Zh447H4NasXz5m2nhjbYHcA7uALVb7i/rQNxhahzgMA0r7hTvEWCISMNUh91RSsTCx1GQae/QaWaZXrYvVl7mZw6mXGzxjF97XSqxFbh4sSLGdFrBMc3O/7gKKsNuzYw+sfRTFs7jdkjZgfjFYmUSNALVcaYqsBg3MKsZwLrrLXHlCnKMKREKfrNWj+LsdPH8m7qu+TYHIZ0GMId/e445I94yGz4GmbcDLuXFr6PClUi0WcPhxat9gL1yStanUREFK1ype/OIGVN2sEm7cu8f2BjjKFNI9egPdHrc1W7eggWojiCaClURVNupvwr/KTvziB5dRrJq7eRvCqNFZt3Aa7vVIcmtenSIoEuzevSsWlt4ivHFbmIQ0H98YIuB/gO13fqQ9y060TgGtxviLooSDjZvQLm3gOr3oYq9aHLA9DmBogp+8nyuRvn8sqsV3hz3pvsytxFp/qduDTxUlZuX8lbKW+RY3PIzM7EPqD/MST0gtWjygBn4BZlHQJk49Lqidban4ITanhRohRdcs8a/LrmVx48+UHGTh/Lj6t+pEblGlzb41puO/Y2WtVpFfrA9q6HP0bB6nfhqLawa0nh+6pQJRLd9uKKVu/j+qbsAerhilYXAacQUUUrcFOCFhxs0J7GwnXbyfSWnW9at7rXoN31uWpYO/6QkwTFbQJfFpFcqIrW3Ez5l/8279hH8qptXnEqjbXbvJGSlWJJbFaHLl5vuvZNalM5ruA5y6H4/T3MCmAC8DqwCqiFmxQ7HOiNVu2T8LZtpmu4vvl79z9B9yeg6fkQhJPnezL38PLMl/m/X/6PLXu3HHa7ClXih2AVqjYCNXGtBycCn0XTCjMFUaIUHXILVElzksjKziLburN7zWs15/Zjb+faHtdSq2qt0AeWcwCWvAhz74WcTEj8pxvu+3HLglf9q9oQLtgY8jBFxCd7gS9wZYdPcUWrurhuRBfjilY+9CAuq8wD2SzZsIOU1emkrkkjdU0au/e7KUL1jqp6cLTV3owDvPXzEjKycg7etzxGZER4oSoqczPlX6FlrWV9+l5SVqeRvCqNeau3sWn7PgCqV4kjsXkCXZsn0KVFAm0a1SIu3HrP7cUtJZCEG0VlcN3ahuPKt0V0VBAJO9bC+s9g9t9g5wKod5xbIbD+cWV+6JMmnMTPq38mx+Ycdtt9J97HsO7D/DlpLxVWsApV1wPvWWu3BzG2sKZEKbLlFqjGzx7PgZwDBwtUAJMvmsz5Hc8nLsanoQlbf4cZN0L6bGh8JvR+Ho5q408sIhL+9nFo0Wo3kEBe0epUIrJoBZBjLasONmh3I6+27ip4tTAIfo+bCC9URWVupvyrfFlrWb11N/NWub5yyau3sW2XWxShVrXKB1fy7NoigZYNahIbE4bDkCwwHTe1713cCqutcMWpq4Dm/oUmEhQ5B2B5Esy7H/ZvhGYXQrfHoWbpVx/fuHsjo39wJ++zbTaZ2XnnNQwGi+WkFicxvPtwLup0EdUrVw/GKxEpVLk0U68IlChFtp7jejJ7Y8GNAX0b3pqZDnP+CUvHQXxj6PUMNLsoKEN6RaSC2Ad8iZse+AnuH7QE3MiBi4DTcKtWRShrLZt27OPq574r8PZgrxoWyYWqaKX8K7iycywrNu100/hWbSNlTTo79rp/UBNqVKFri7pej6kEmterEd7L2a/HrdiXBCwCquGK9cOBE4AwG+wlUmZZu2HhGFjwJGRnQNsbofP9ULV+qR+yoILV6pGreWPuGyTNSWJZ+jJqVK7B0MShDO8+nOOaHRfefxckYpW6UGWM+QS4wlq70/u+UNbaQWULM/woUYo82TnZfLr4U8ZMG8NPq3+iUkwlLBaDISsn6+B+IS9UWQsrJ8Lsv0LGVmh3G3R9qMyreohIBbcf+Ao30uoTYCdQB9dS+2Lc9Jdjgf64Vawa+xNmaVz57FQ279h32PaKPqKqIuRmyr/K5kB2Dks37mDeKtdfKnV1Gnsy3PTaRrXj6dI8rzDVuE618P8HNBM3kjQJN8k1BzgeV5y6BDjKv9BEQmbfRkh+CJa9CrHVIPHv0H4kxFUr9UPmFqx+XfvrwVX/rLX8vPpnkuYkMTl1Mnuy9tCubjuGdRvGVd2uoknNECyGIBVGWQpVScBt1tpd3veFstYOL1uY4UeJUuTYk7mHCXMm8Mxvz7A0bSktarVgZL+RXNPjGvZm7T3srEFIC1U7FrjV/DZ/D3WPhb4vQ53uoXt+EakYMsgrWn2MK1rVBrbjGrDH4f6xi5CCVahWDYvAQlXU52bKvw51pKbkmQeyWbRuO8mr05i3Ko35a9MP/t40rVvdjZhqnkDn5gk0qBVBDZvm4opTE4FtwNHA1cAwoJ1/YYn4asdCmPt3WPsxxDeBrqPhmKsgpuBFDcpid+Zu3kt9j6Q5Sfy0+idiTAwDWg9gePfhDGo/iKpxVYP+nFKxaOpfKSlRCn/rdq7j+d+fZ9yscaTvT+fYJsdyZ/87C+w/VdBZg3J1YC+kPAILn4K4Gm7ljtbXgdG4dBEpZxnA17jpga8HbI/BFayuBh4i7AtWWvWvYlL+lafAgm1cDIP6tqRSTAzJq91KmlnZrjnyMQ2OokuLBLo2r0vn5gnUqVHFr9BLZxvwFq5ANRs3jXkwrsg+AAj+/+IikWnzj26FwG2/Q+0u0P1J1/e2nEZILk1byoQ5E3h97uus3bmWOlXrcFmXyxjefTg9G/cM/5GZEpaC1Uy9ObDGFnAnY0xza+3qsoUZfpQoha85G+cwZtoY3k55mxybw/kdzufO/nfSv1l/v0Nz1n0GM2+BPSvhmKuhx5NQtYHfUYlIRVRY7lgPeBYYiFs3roKK5EJVtOZmyr/yFDYFFiDGQJtGtbxpfHVJbF6HmvER2KAuGzcaNAk3GjQT6IErTl2GW+1URA5nLax+D+b+A3Yvh0anuxUCy3HmRnZONt+u+JakOUn8d8F/ycjOoEuDLgzvPpwrul5B/eql750lFU+wClXZQGNr7eZ82+sCm621UXeOQ4lSeMmxOUxZMoUx08bw3crvqFG5Btf2uJbbjr0tfJZS3bMGZt0Oa/8LtTpBn5egwYl+RyUiFVlgoSr3f9i2wGZgi7ftDOBCYBAV7p/CCC9URWVuVpHzL2stm3fsI3VNOilr0vhsVuG1xv/+7UyqVfFp9eJgWIwrTr2Ba5JeF7gCV6Dq5mNcIpEmOwOWvAwpD7uFm1peAd0egerlu/xl+r503kl5h6Q5ScxYP4O4mDjObXcuw7sP5+w2Z1MpNkKXI5aQKSwHK+knm8EtBptfDVw7V5FysTdrL2/OfZOx08eyaNsimtZsypOnP8n1va6ndtXafofn5GTBon9D8oNgc9zysR1GQWwEntkUkehTGTdlJrdHVSPcKIbpwIfAB8Bn3j4nAxfgVhE8OvShSokoN4tw2TmWlZt3kbom7WBxautO96OrVjmOynExZB7IOex+DWrFh3eRqgcFL+KwC5iMK1D9gpuOfDZudOd5RPSKpSK+ia0CHW6HVlfD/Cdg4TOwejK0vx0S/wGVa5fL09aJr8NNfW7ipj43kbI5hQlzJvDmvDf5aOFHNKzekCu7XsnwHsPpVL9TuTy/RK9ijagyxjzrffsX3MfK3oCbY4G+QKa19vigR+izinxGLxxs3L2RF2e8yIszXmTbvm30atyLO/vfyUWdLgqvCv2WX+D3G2FHCjQ5D3o9CzVa+h2ViIjTAziOvAJVQSyuH8wH3mWRt/04XNHqAuCY8g3TL5E4oirac7Nozr8ysrJZvH47KWvSSV2Txvw16QdX5Kt7VBU6N0sgsXkCnZvVoWWDmvyQuj4kiwoEncEVnWJwzc/PwK1M+h7u3doeuAa4krDvlScScfashnn3wYo3oUoCJN4HbW8KyQn0rOwsPl/6OeNnj+ezJZ9xIOcAfZv0ZXj34Vza+dLwGWQgYaFMU/+MMd95354ETMPNHM+VCawEnrLWLil7qOElmhOlcJa8KZmx08cyKXkSWdlZDGo/iFH9R3FC8xPCq1Hf/q0w525YPh6qNYfez0LTwX5HJSJSdgtwBasPcQUscAWv3KJVFJ0cjdBCVVTnZtGUf+3cm0mqV5RKWZPGkvU7OJDj8u/m9WrQ2StKJTZPoGGt+ALznFAsKhB0BaVrlYBLcOXVfoXsIyLBkzYb5vwNNn4DNVpBxjbI2nH4flUbwgUbg/70m/dsZuK8iSTNSSJlcwpV46pyfofzGd59OKcecyqx5bBSoUSWYPWoSgJut9buDGZw4SyaEqVwZ63lq2VfMWb6GL5a9hXxcfEM7z6ckf1G0rZuW7/DO5TNgeVJrkiVucNN8etyP8RV9zsyEZHgW4ErWH0I/Opt64ArWF2IK2BF8D+ckVioyhWtuVmk5l/WWjZt30fKmjRSVrupfKu37gYgLsbQ7ujaJDarQ+fmCXRqWoea1aJwnls28CVukYb8YoA/AT+ENCKRis1a2PAVzLkLticXvt9lxa8LlDwEy6wNs0iancRbKW+xff92mtVsxtXdrmZY92G0Tmhdbs8t4S0ohSrvgeJww8mbk28WubX2jbIEGY4iNVGKJPsP7GfSvEmMnT6W1C2pNK7RmFv73sqI3iNIiE/wO7zDbU920/y2/gr1T4A+L0Ltzn5HJSISGuuBj3BFq+9x/5S2IK9o1R/3z2gEieRCFURnbhYp+Vd2jmXFpp3eaCk3amrbrgwAqleJI7FZHRK9qXztGteiSqUoHj2wDhgPvAbk7/9eUI88EQmtnGx4p4i+duVYqAq0/8B+Pl74MUlzkvhq2VdYLCe2OJHh3YdzUaeLqFG5RkjikPAQrBFVHYBPcV0qDC49jQOygAxrbdQtbh0piVIk2rJnCy/NfIkXZrzA5j2b6dawG6P6j+LSzpdSORwbkGftdo3SFz0Dleu4pV+PuRrCaSqiiEgobcVlBR/ilpbPxP0Dej6ucHUSbqpPmIvkQlW05mbhmn/tz8pm4bp0Ule7otSCtdvZm+n6S9WvWZXOzRNIbOam8rVocBQx0Z4jZANfAK8A/wNygNOBEcDFqEAlEm7eKuJvUogKVYHW7lzLG3PfIGlOEkvTllKjcg0u7nQx1/S4huObHR9eLV+kXASrUPUFsB24FtgIdAdqAS8B91prvw5GsOEkXBOlSLZgywKemf4Mb8x7g/0H9jOw7UBG9R/FKS1PCc8/RtbC2o9g1m2wdy20vh66Pw5VKtj67SIiRdkJTMH1tZqCa5acAAzCFa3OAKr6Fl2RIrxQFZW5WbjkX9v3ZBxciS91dTpLN+4gO8digJYNjjo4Yqpz8wQa1Ir3O9zQWUve6Kk1QANcY/TrgNwZPMVZxEFEQquoQlW7WyDxXohvGLp4PNZaflnzC0mzk5g8fzK7M3fTNqEtw7oP46puV9G0ZtND9t+wawOjfxzNtLXTmD1idiGPKpEgWIWqbcBJ1toUY8wOoK+1dpEx5iTgOWtt1+CFHB7CJVGKdNZapq6YypjpY5iyZApV46pyVderGNlvJB3rd/Q7vMLtXgEzb4X1n0HtrtDnZajf3++oRETC2z7cCKsPcKt87QBq4HrWXACc410PExFeqIrK3Ky88q+impJba1mfvpdUryiVsiaNtdv2AFApNob2Tbz+Us0S6Ni0DkfFR8BwwWDKHT01DvgMN3pqAHADcB75Jp2KSFgqqlBlYiGmCnQYCR3vgsq1QxXVIXZn7ub9+e+TNCeJH1f9SIyJ4YxWZzC8+3D6NunLv379F0lzksixOWRmZ2IfCP1IMAmewnKwIiapFvw45C1/vAVoglvAei3QpkwRSlTKzM7knZR3GDNtDHM3zaVB9QY8fPLD3Nj7RupXr+93eIXLzoSFT0HKaDBx0HMMtLsVYkr6KyMiUgHFA4O9SybwHW564EfAu0AV4Exc0WoQUMeXKKNFuedmxpgE3E+uJW41wUustekF7Hc1cK939RFr7eve9keBq4A61lrfSpRTk9fxzGfJZGRlA7B5xz7GfDqPGUs3k3kgh9Q16aTvcf2lalStROdmdTizezMSm9WhbeNaVI6L4v5SRVkL/Me7rAEaAnfjRk+18jEuESm5qg1h/6aCt5/+EyTfD6mPwZKXoNPd7v+fuGohDbFG5RoM6z6MYd2HsSxtGRPmTGD87PFc+sGlAMSYGHJsTkhjktAr6YiqH4Gx1tr/GmPeAuoCjwHXA10j9axdUTSiqnTS9qUxbuY4nvv9OTbs3kBi/URG9R/FZV0uo2pcmM79yLXpO5hxM+xcCM0ugl5joVrTI99PRESKlg38Qt4Kgmtwp8xOwTViH4wvU4QifERVuedmxpgngTRr7RPGmL/jCk5359snAZgJ9AYsMAvoZa1NN8b0A1YBS4pbqCqP/OvKZ6eyece+Am9rWDuezs0SDq7I16xejejvL1WUbOBzXO+pwNFTI3CjpyrYYDKRCiVtNsy9BzZ8DvGNofP90PpaiPHvF//EpBP5efXPWA6vXSy6ZRHt6rbzISoJhmBN/TsTqG6t/dAY0wr30dUe1071Emvt90GKN2yoUFUyS7Yt4ZnpzzBh7gT2Zu1lQOsBjOo3igGtB4Rn/6lA+zbB7L/CyolQoxX0fh6OPtvvqEREopPFlTU+xE0RXIIbG3Q8rmh1PjAEt4rgfUDj8gslwgtV5Z6bGWMWASdbazcYYxoD31tr2+fb58/ePiO86+O8/d4O2Ge3n4Wqs0Z/VsC/OM6X9w0M6nNFrDXkjZ5aiysc5/aeOsbHuEQk9Db/BHP/AVt+gRqtoevD0OJSMKFf2nfj7o2M/mE0SXOSyLbZZGZnHnJ7n6P7cEXXKxiaOJSGNULfY0tKLyiFqkIeOAFIt2V9oDClQtWRWWv5afVPjJk2hk8WfUKl2Epc0eUK7uh/B50bdPY7vCPLyYZlr8Ccf0L2Huh4NyT+E+IqUFNUERE/WSCVvKLVvIDbYnGjrq6h3ApWkVyoKkiwczNjzHZrbW3ve+M9du18+/wVqGqtfcS7fh+wz1r7VMA+RRaqjDE34Doe0bx5816rVq0KRvgHFTaiqkGteN687dSgPldEOUDe6KkpuN/H3NFT56LRUyIVmbWwfgrM/Sdsnwe1u0G3R+Hoc3xZ+byggtVTZzzFxOSJzNk4h1gTyxmtz+DyLpczpMMQalQOo4aYUqByK1QFWxD6IPQCJuA6ZEwBbg9M1IwxdwJPAfWttVuPFI8KVQXbsGsDD/3wEF8s/YJ61eoxa8Ms6sbX5eY+N3Nzn5tpVCNClndJ+wN+vxHSZkDDU6HPi1Cz/ZHvJyIi5WcprmgVOLnM4Hpb5S5zH8SCVbQVqkrDGPMNBU+8vAd4PbAwZYxJt9Ye0lksGIWqQOWRf+XvUQVQpVIsIwd2OdhQvUIpaPTUtd5Fo6dEJJDNgVXvwrz7YPcyqH88dHscGpzgSzi5Batf1/56cNW/1M2pTEqexFvJb7FqxyqqVarGkA5DuLzL5ZzR6gwqxarqHo5KXagyxnxS3Cex1g4qRWz5n6+sfRB+B24DfsMVqp611n7u3a8ZbiHdDt7+KlSV0IZdG7h36r28Me8NDuQcAKB93faM6j+KK7teSXylCBmFlLnD/aFd8gJUqe+apbf4sy9nBkREpBAF/UmOAf4E/BDEp4mwQpUPuVlUTP2Dolf9qxAO4LLjV3CjqCxuYYMb0OgpETmynCxYNh5SHoJ9G6Dx2dD9MajT3e/IDsqxOfyy+hcmJU9icupk0venU79afYYmDuWKrlfQt0nf8G9JU4GUpVCVVNwnsdYOL0Vs+Z+v1MmQd/nOWtuhkP3eB0YDHwO9Vagqvg27NnDX13fxTso7ZNvsQ27Lvj+bGB/mKhfLh40KXtmCGMBC25uh2yO+Lb8qIiJFCMwjK+OmAeaOqAriwN0ILFSFOjf7F7At4CRigrX2b/n2ScCdOOzpbfoDd1IwLWAf3wtVFdZq8kZPrcONSMwdPdXSv7BEJEId2AuLn4f5T0BmOjQfCl1HQ822fkd2iIwDGXyx9AsmJk/k00WfkpGdQZuENlze5XIu73I5beuGV7wVUWE5WNyR7hiMBKeEGlprN3jfb8QtgptfE9yA5VxrvW1NvO/zb8cYMxhYZ62dqwpqyfy29jfOfftctu4tuK4XtkUqKKRIBZADZ86AuhHzf4mISMVUjgWqSOVDbvYEMNkYcy1u9b5LAIwxvYEbrbXXWWvTjDGjgRnefR7OLVJ5o+UvA6oZY9YCr1lrHwzxa6h4ckdPjcONngI4C3geGIhGT4lI6cVVg05/gzY3wIKnYOFYWPO+Wx2w8/1QLTxGqlaJq8LgDoMZ3GEwO/bv4IMFHzApeRIP//AwD/3wEH2b9OWKLlcwtPNQGlRv4He4EsCXHlXl1QcBN6LqCWvt6d72E3AdLi4BvgMGWGt3GGNWUsSIqvJu5hkJsnOy+WTRJzw97Wl+WfMLNavUpHWd1izYuoAcm3PISgv2gfDqc3aIt4ooSl4WxnGLiAj0AI6j3AtUkTaiqiLQiKoyWEXe6Kn1wNHkjZ5q4WNcIhK99m2C1Edh6ctgYqHdLdDp71Clrt+RFWjtzrW8k/IOE+dNZO6mucSaWAa0HnCwCXv1ytX9DrHCKCwHK/FQGGPM2caYz4wx872eTxhjrjPGnFbcx7DWnm6t7VzA5WNgkzflD+/r5gIeYh3QLOB6U2/bOu/7/Ntb49pCzvWKVE2BP4wxBaa91tpXrLW9rbW969evX9yXFRX2ZO7hhd9foMMLHbhg8gWs37Wef5/1b9aNWscfI/5gxe0ruK7HdcTHxVM5trLf4YqISDSbDbyARlEdQTByM4lwB3CNLc7BZbyPAN2Bj3CFq4dRkUpEyk98Q+j9LJy72E0DXPA0fNIKkkdD1m6/oztM05pN+etxf2XOjXNIvimZu467i9QtqVzx3yto+FRDrvjwCr5Y+sXBnswSeiUqVBljLgcmA4txH4O5g4Zjgb8Vdr8S+gS42vv+atzHbn5fAgOMMXWMMXVwi+h+6U0Z3GmM6ectn3wV8LG1Ntla28Ba29Ja2xI3JbCntXZjkGKOeBt3b+TeqffS/Jnm3PL5LdSNr8t7F7/H4lsXc9uxtx1c2rNRjUa8MPAFlt++nOt6XEf3Rt39Dbww+7fC9FDPjBAREQmtEOVmEq5W4UYctgCGAHO96yuAz4DBFKPRh4hIkNRoCf0nwDnJbkX15PtdwWrhvyE7w+/oCtS5QWceP/1xVty+gh+G/cDlXS7nsyWfcfaks2kypgm3f347v6/7HT9molVkJZr6Z4yZCzxurX3HGLML6GatXW6M6QZ8Za0tqJ9UyQIypi4u4WqO1wfB63twsA+Ct981wD+9uz1qrU3ytvcGJgDxuBn5t9p8L/JIU/8CRfvQ85TNKYyZNoZJyZPIys5iSIch3Nn/To5rdlxkroZgLax4A2bf6Vb2s0VUwTX1T0REiOypf6HIzfwQ7flXifQA+uMKUI2BLFwR6hXgC2+fc3BNK85BhSkRCR9bf4O5/4RNU6Fac+j6ELS8EmJi/Y6sSBkHMvh86edMnDeR/y3+HxnZGbRNaOuasHe9nDYJbfwOMWqUetW/fA+yF+horV2VLxlqDaRYa+ODF3J4iMZEyVrLtyu+5alfn+LLZV8SHxfPNT2uYWS/kZH9S7dzEfx+I2z+HuodB31fgamnFdxQvWpDuEAD6kREJOILVVGZm0Vj/lVqBreogAEScfMCNuOWC8rtPdXct+hERI5s4zcw5x+QNhNqdnSrrjc9HyJgYMT2/dv5YL5rwv79yu+xWI5tcixXdL2CoYlDqV+9YrUKCrZSr/qXz3qgHW6kU6ATgWWljE1CJDM7k3dS3uHpaU8zb9M8GlZvyCOnPMKNvW+kbrXwbHRXLNkZMP//XAO/2GrQdxy0vg5MjIpRIiIS7ZSbRbMc72vuGjZ/4Bp3nI1bza9ZQXcSEQkzjU6HM0+Dtf+FuffCTxdCQh/o/pi7LYzVrlqba3tey7U9r2XtzrW8nfw2E5MncuvntzLyi5Gc2eZMLu9yOYPbD1YT9iAqaaHqFeBZY8x13vVm3sp6TwIPBjMwCZ70femMmzWO535/jvW71pNYP5Hxg8ZzWZfLqBJXxe/wymbTDzBjhBtN1eLP0HMMxKvrroiIVBjKzaJRGpAEvFTAbTm4bq1XAD+EMigRkTIwBppdAE0GwYo3IflBmHqG62XV7XGo19fvCI+oac2m3HX8Xdx1/F0kb0pmUvIk3kp+i8uXXE71StU5v+P5XNHlCk5rdRpxMZqHXRYlmvoHYIx5FLgDqOptygCestbeF+TYwkIkDz1fkb6CZ6Y/w39m/4c9WXs4vdXp/LX/XxnQekBk9p8KlLENZt8Fy5Og+jHQ5yU4+ky/oxIRkQgUyVP/IDpzs0jOv8pkFm6ly7eB/cCfgJ8Dbq+Ma5M/HNezSufmRCRSZWfAkpfdrJiMLW4qYLdHoFYnvyMrkRybw0+rfmJS8iTem/8e2/dvp2H1hlza+VIu73I5vY/ufcj/3ht2bWD0j6OZtnYas0fM9jHy8BCUHlUBD1YN6IQbfDzfWrvbGNPMWrum7KGGl0hMlKavnc7T057mwwUfEmti+XOXPzOq3yi6Nermd2hlZ62rwM++EzK3Q8e7oPO9EFfN78hERCRCRXqhCqIvN4vE/KvU9gPv4QpUvwHVcaOlbga6ktejSgUqEYlGWbtg4VhY8BRk73HN1rs86FYQjDAZBzKYsmQKE5NdE/bM7Eza1W3H5V0u54xWZ/DmvDdJmpNEjs0hMzsT+4AW9wpqoSrfAzfCfWReE6kNO4sSKYlSdk42nyz6hKemPcWva36ldtXa3NjrRm7pewtNajbxO7zg2LkYZtzkVo2od5zrRVW7s99RiYhIhIuGQlWgaMjNIiX/KpOVwMvAf4CtQHtccepqoFbAfj2A41CBSkSi2/6tMP8JWPw8kANtboTEeyA+IhevJX1fOh8s+IDxs8czbe00AAwGS179RYWqMjZTN8bUxp3nGYBbFPcJ4DngfuBuYD5wTbCCleLbk7mHCXMmMHb6WJalL+OY2sfw77P+zTU9rqFG5Rp+hxcc2Rkw/0mvWXpV6PMytLneNUsXERGpgJSbRagc4GvcT+5/uNFSg4G/AKd61/PTzBARqQiq1oOeT0GHkZD8MCx5EZaPh/Z3wNJXIGNzAfcJ35Xc68TX4bqe1/HmvDcPFqgCi1QAY6eN5eLEi2las6lPUYavYo2oMsa8CJwHvAucBXQEpuAGJz9krY3aVo7hekZvw64NPP/787w862XS9qXRr2k/7ux/J+d3OJ/YmFi/wwuezT/C7yNg50JocSn0HKtm6SIiElSROKIq2nOzcM2/Si2dvOboS4EGwPXACLRyn4hIQXYuhnn3w+p3i97vsvAelbRx90ZG/zCapDlJZNtsMrMzD9vn+GbHMzRxKBd2upCjjzrahyj9U6apf8aYVcC11tpvjDGtcB+xz1prRwY90jATbolSyuYUxkwbw6TkSWRlZzGkwxD+etxfOa7ZcX6HFlwZaTDnb7DsP1C9JfR5EY4+2++oREQkCkVooSqqc7Nwy79KbTZu9NRbwD7geNzoqQtxfadERKRoabPhi56F3x7mhapcBRWsFt2yiMmpk5mcOpnkzckYDCe0OMEVrTpeSMMakTntsSTKWqjKAlpYa9d71/cCfay1qUGPNMyEQ6JkreWb5d/w9LSn+XLZl1SrVI3h3Yczst9I2iS08TW2oLMWVk6CP0ZBZjp0vBM6369m6SIiUm4itFAV1blZOORfpZaBa47+IjANqEZec/QoWNdGRCTk3ipixfoIKVTlyi1Y/br210NW/VuwZQGTUyfzbuq7LNi6gBgTw0ktTmJo4lAu6HgB9avX9zHq8lPWQlU20Mhau8W7vgvoaq1dEfRIw4yfiVJmdibvpLzD09OeZt6meTSq0Yhb+97Kjb1vJCE+wZeYytXOJV6z9G+hbj849hWo3cXvqEREJMpFaKEqqnOziCxUrcY1R38N2AK0I685em3/whIRiXhFFar6vwEt/gwxxWq/HRFSNqccLFot3raYWBPLKcecwtDEoZzf4XzqVqvrd4hBU9ZCVW7rxwxv09nAD8DewP2stYPKHmp48SNRSt+XzrhZ43ju9+dYv2s9nRt0ZlS/UVzW5TKqxFUJaSwhkZ0JC56ElEdcs/TuT0CbG9QsXUREQiJCC1VRnZtFTKEqB/gGN3rqU2/bIFyB6jRAqYyISNkVVagCqNkeOj8AzS+BKOrXbK1l3qZ5B4tWy9KXERcTx+mtTueSTpcwpMMQ6sTX8TvMMilroSqpOE9irR1eitjCWigTpeXpy3lm+jOMnz2ePVl7OKPVGdzZ/04GtB6AMUf45YxUm3/ymqUvcH9Yej0D8Y39jkpERCqQCC1URXVuFvaFqu3ABFyBaglQn7zm6M19i0pEJDp92Aj2bzp8e9WG0OclSH4AtidDzY7Q5UFoflHUDXqw1jJ74+yDPa1WbF9BpZhKDGg9gEsSL2Fw+8HUqlrL7zBLrEyFqoqsvBOlDbs28Jcpf2HqiqnsytxFrInlz13+zKh+o+jWKIobGWSkwZy7YdlrUL0F9H4Rmpzjd1QiIlIBRWKhKtqFbaFqDq45+iRcc/TjcKOnLgKicNC7iEhEsDmw5gNIfhB2zIdanaHrQ9B0SNQVrMAVrWaun+mKVvMns3rHairHVuasNmdxSadLGNR+EEdVOcrvMItFhapSKq9Eae2OtVz36XV8tewrLO5n8Pfj/86tx94a3UtSWgsr34I/7oDMNOhwJ3S5H+Kq+x2ZiIhUUCpUhZ+wKlRlAB/gClS/AvHA5bgCVQ8f4xIRkUPlZMPqyZDyEOxcBHW6Q5eHoMl5EKUzlKy1/Lbut4MjrdbtWkeV2Cqc0/YcLkm8hHPbnUuNyjX8DrNQKlSVUrATpQ27NnDfd/cxfvb4gwWqXPaBKP9Z7FrqmqVv/AbqHgt9x0GdKB41JiIiEUGFqvATFoWq1cA4XHP0zUBb8pqjR3ZLEBGR6JaTDavehuSHYPdSSOgFXR6Go8+O2oIVQI7NYdqaaUxOncx7899jw+4NxMfFM7DdQIYmDuWctudQrVI1v8M8hApVpRTsROmkCSfx8+qfybE5h90WtYWq7ExY8C9IGQ2xVVyz9NY3RFWjOxERiVwqVIUf3wpVFvgWN3rqE2/bucBfgNNRc3QRkUiScwBWToTkh2HPCjdYostD0HhAVBesALJzsvllzS9MTp3M+/PfZ9OeTVSrVI3z2p3H0MShnNXmLOIrxfsdpgpVpRXsRGnj7o2M/mE0SXOSyLbZZGZnHrwtKgtVm3+GGSPcXOHmF0PPZ6BaFE9tFBGRiKNCVfgJeaFqO/A6rjn6YqAecB1wI9AidGGIiEg5yMmC5a+7gRN7V0O946Drw9Dw1KgvWIErWv246kfeTX2XDxZ8wNa9W6lRuQaD2g9iaOJQzmx9JlXi/Gm0qEJVKZVXolRQwSqqClWZ6TD7blj2qtcs/QVoMtDvqERERA6jQlX4KZf8qwfQH7gPyF1geB5u9NREYC/QDzd66mLUHF1EJNpkZ8Ly8ZD6KOxdCw1OdFMCG57kd2QhcyDnAN+v/J53U97lw4UfkrYvjZpVajKkwxAu6XQJZ7Q+g8qxlQ+734ZdGxj942imrZ3G7BGzgxaPClWlVN5n9HILVr+u/TWoP3DfWAur3oE/RkLGNuhwh1siVM3SRUQkTKlQFX7KJf8yQGXc9L0/ATuAGUBV4DJcgapncJ9SRETCUPZ+WPoazH8M9m1wI6u6Pgz1j/c7spDKys7i2xXfMjl1Mv9d+F+2799O7aq1Ob/D+VySeAmnHXMaW/duZfSPboBNjs0J+gAbFapKKSyaeUaKXctgxs2w8Suo29drlt7d76hERESKpEJV+Cm3QlX+6/2BV4FOwX0qERGJAAf2wdJxMP9x2L8ZGg2Arg9BvX5+RxZymdmZfL3saybPn8xHCz9iZ8ZOqsRW4UDOAWJMDFk5WQf3DUWhSi0hpeyyMyH1cZjSGbZOg97Pwxm/qkglIiIi4csC04Gb/A5ERER8ERcPHUbCoOXQ41+Q/gd81R++HwjbKtZglcqxlRnYbiCvD3mdzX/dTGL9RDKyM8i22YcUqUJFhSopmy2/wBc9Ye4/4ehz4dyF0O4vWtFPREREwldlIB7XLP1dn2MRERF/xVWHjn+FQSvcCvVbp8OXfeCHQZAWBe15SqhKXBW+ueobbu59M/Fx8QX2rCpvKlRJ8XzYCN4yh1++/hNk7YKTPoUT3tOKfiIiIhK+cgtU1wHLcY3UG/kakYiIhItKNaDT3TB4BXR9BDb/5AZl/HgBpM/zO7qQalSjES8MfIHlty/nuh7XhbxgpUKVFM/+TYXfNjAVmpwbulhERERESqo7KlCJiMiRVaoJne+BwSvdwmCbvoXPu8HPl8D2VL+jC6n8BavujbqH5HnjQvIsEt0q1fA7AhEREZGiVbzZGyIiUhaVa0GXB6D9bbBgDCx6Bla/Dy0uhc73Q60OfkcYMrkFq1DRiCo5spwDfkcgIiIiIiIiEnqV60C30W6EVae7Yd0nMCURfr0Sdi7xO7qopEKVFC19rlv5QERERERERKSiqlIXuj/uVgnsMArWfACfdYTpw2H3cr+jiyoqVEnBDuyDOf+AL3rB3jV+RyMiIiIiIiLiv6oNoMe/XMGq3W2w6h34tD38dj3sWeV3dFFBhSo53MapMKUrzH8CWg2DcxdA1YYF71vYdhEREREREZFoFd8Ieo2B85ZB25tgxRvwaVv4/SbYo8EeZaFm6pInIw1m/xWWJ0GNNnDaVGh4irvtgo3+xiYiIiIiIiISbqodDb2fhU5/g9THYNlrsHw8tLkBVr0LGVsOv0/VhvofuwgqVAlYC6snw6zbIGMbdPoHdL4P4uL9jkxEREREREQk/FVrCn1edA3XUx6FJS+DLWRhsv2bQhtbhNHUv4puz2r44Tz45VKo1gLOmgXdH1ORSkRERERERKSkqreAY1+B8xb7HUnECrtClTEmwRjztTFmife1TiH7Xe3ts8QYc3XA9l7GmGRjzFJjzLPGGBNw263GmIXGmFRjzJOheD1hKycbFj0HnyXCpu+g51gYMA3qdPM7MhEREREREZHIVuMYvyOIWGFXqAL+DnxrrW0LfOtdP4QxJgF4ADgW6As8EFDQegm4HmjrXc7y7nMKMBjoZq1NBJ4q59cRvranwNfHu6l+9f8EA1Ohw0iIifU7MhEREREREZHo99v1sGuZ31GEpXAsVA0GXve+fx0YUsA+ZwJfW2vTrLXpwNfAWcaYxkBNa+10a60F3gi4/03AE9baDABr7ebyewlhKns/zL0PPu8Bu5fBcZPg5ClQo6XfkYmIiIiIiIhUHCvehP+1h1+vgh0L/Y4mrIRjoaqhtXaD9/1GoGEB+zQBAtd7XOtta+J9n387QDvgBGPMb8aYH4wxfQoLwBhzgzFmpjFm5pYtBXToj0Sbf4TPu0PqI9DyMhi4wH3NmxkpIiIiIiIiIsFStaByhrd98Apofzus+QA+6wQ/Xwrbk0MbX5jyZdU/Y8w3QKMCbron8Iq11hpjbJCeNg5IAPoBfYDJxphW3sirQ1hrXwFeAejdu3ewnt8fmdthzt2w9BWofgyc8hU0PsPvqERERERERESi2wUbi76959PQ6e+wcAwsfh5WvwtNh0Dn+yChZ0hCDEe+FKqstacXdpsxZpMxprG1doM3la+gKXrrgJMDrjcFvve2N823fZ33/VrgQ68w9bsxJgeoB0TJkKkCrPkQZt7ilr7s+Ffo8iDEVfc7KhEREREREREBqFofuj8OHe+CRf92l7UfwdHnuIJVvX5+Rxhy4Tj17xMgdxW/q4GPC9jnS2CAMaaO10R9APClN2VwpzGmn7fa31UB9/8IOAXAGNMOqAxsLbdX4ae96+DH8+GnC6FqIzjzd+jxLxWpRERERERERMJRlQTo+hAMXgVdH4Ftv8FX/WHqGa6VTwUSjoWqJ4AzjDFLgNO96xhjehtjXgOw1qYBo4EZ3uVhbxvAzcBrwFJgGfC5t3080MoYkwK8A1xd0LS/iGZzYMlLbn7rhi+h+5OuSJXQy+/IRERERERERORIKteCzvfAoJVuwMn2ZPjmJHfZ+A1EWRmjICbaajXB1rt3bztz5ky/wziyHQvg9+thyy/Q6HTo8zIc1drvqERERMKeMWaWtba333FInojJv0RERMrbgX2w7FWY/yTsWwd1+0Hne93UwAhfHK2wHCwcR1RJSWRnQPJDbkW/HQug3wTXMF1FKhEREREREZHIFhcP7W+DQcugz0uwfwP8cC580RvW/NfNrIoyKlRFsi2/whc9IflBaHYhnLsAWl0d8VVVEREREREREQkQWwXa3gjnLYFjx0PWTvjpApjSDVa9CznZfkcYNCpURaKsnTDjL/D1nyBrN5z0GRz/FlRt4HdkIiIiIiIiIlJeYipB6+FuoEr/iWCz4ZdLYUoirHgTcg74HWGZqVAVadZ+Av/r5Jqmt78dBqZCk3P8jkpERESilDEmwRjztTFmife1TiH7Xe3ts8QYc7W3rZox5jNjzEJjTKox5onQRi8iIhKlYuLgmMthYAr8aTLEVIFpV8H/OsCy/0B2pt8RlpoKVZFi3wb46WL4cbBbtnLAdOg1FirV8DsyERERiW5/B7611rYFvvWuH8IYkwA8ABwL9AUeCChoPWWt7QD0AI43xpwdmrBFREQqABMDzS+Gs2fDiR9B5drw23XwaVtY/CJk7/c7whJToSrcWQtLX4P/dYR1n0K3R+GsWVCvr9+RiYiISMUwGHjd+/51YEgB+5wJfG2tTbPWpgNfA2dZa/daa78DsNZmAn8ATcs/ZBERkQrGxEDTwXDmDDh5ClRrAjP/Ap+0hoXPwIG9fkdYbCpUhbOdi+HbU+D366FODzhnHiT+081JFREREQmNhtbaDd73G4GGBezTBFgTcH2tt+0gY0xt4DzcqKzDGGNuMMbMNMbM3LJlS5mDFhERqZCMgaPPhjN+gVO/haPawR93wCfHwPwnIWuX3xEekQpV4SgnC1IfgyldIX0uHPsanDYVarbzOzIRERGJQsaYb4wxKQVcBgfuZ621gC3F48cBbwPPWmuXF7SPtfYVa21va23v+vXrl+p1iIiIiMcYaHQqnP4dnP4T1O4Oc+6Gj1tC8mjI3O5zgIWL8zsAyWfrb24E1fZkN8+017MQ38jvqERERCSKWWtPL+w2Y8wmY0xja+0GY0xjYHMBu60DTg643hT4PuD6K8ASa+0zZY9WRERESqTBn+DUL2Hr75D6CCTfDwufgna3QYeRUKWu3xEeQiOqwkXWbpg1Er7qDxlpcOLHrnO/ilQiIiLir0+Aq73vrwY+LmCfL4EBxpg6XhP1Ad42jDGPALWAkeUfqoiIiBSqXl846RPXeL3RGa5o9XFLmH037C/oPJQ/NKIq1D5sBPs3FXBDDGCh7c3Q/TGoVDPUkYmIiIgU5AlgsjHmWmAVcAmAMaY3cKO19jprbZoxZjQww7vPw962psA9wELgD2MMwPPW2tdC/ipERETEqdMdTngftqdC6qNudNXi56DNCOh4F3zRs+C6RdWGcMHGcg9PhapQK7BIBZDjmp3VPy6k4YiIiIgUxVq7DTitgO0zgesCro8HxufbZy1gyjtGERERKYXaiXD8W9DlQZj/uCtWLXkRcjIL3r/QekZwaepfOFGRSkRERERERERCqWY76JcE5y2BVsP8jkaFKhERERERERGRCq/GMdB3nN9RqFAlIiIiIiIiIiLhQYUqEREREREREREJCypUhVrVhiXbLiIiIiIiIiISKj7XLbTqX6iFYClHEREREREREZFS8bluoRFVIiIiIiIiIiISFlSoEhERERERERGRsKBClYiIiIiIiIiIhAUVqkREREREREREJCyoUCUiIiIiIiIiImFBhSoREREREREREQkLKlSJiIiIiIiIiEhYUKFKRERERERERETCggpVIiIiIiIiIiISFoy11u8YwpoxZguwyu84fFQP2Op3EGFCxyKPjkUeHQtHxyGPjkWeSDkWLay19f0OQvJUgPwrUn43QkHHIo+ORR4dC0fHIY+ORZ5oOhYF5mAqVEmRjDEzrbW9/Y4jHOhY5NGxyKNj4eg45NGxyKNjIVIw/W7k0bHIo2ORR8fC0XHIo2ORpyIcC039ExERERERERGRsKBClYiIiIiIiIiIhAUVquRIXvE7gDCiY5FHxyKPjoWj45BHxyKPjoVIwfS7kUfHIo+ORR4dC0fHIY+ORZ6oPxbqUSUiIiIiIiIiImFBI6pERERERERERCQsqFAlIiIiIiIiIiJhQYUqAcAYc5YxZpExZqkx5u8F3H6iMeYPY8wBY8xFfsQYKsU4FqOMMfONMfOMMd8aY1r4EWd5K8ZxuNEYk2yMmWOM+dkY08mPOEPhSMciYL8LjTHWGBO1y8UW430xzBizxXtfzDHGXOdHnKFQnPeFMeYS7+9FqjHmrVDHGCrFeF+MDXhPLDbGbPchTJGQU36VR/lVHuVYjvKrPMqv8ii/ylOh8ytrrS4V/ALEAsuAVkBlYC7QKd8+LYGuwBvARX7H7POxOAWo5n1/E/Cu33H7dBxqBnw/CPjC77j9OhbefkcBPwLTgd5+x+3j+2IY8LzfsYbJsWgLzAbqeNcb+B23X8ci3/63AuP9jlsXXcr7ovyqxMci6vOrEhyLqM+xlF+V+D2h/CpvH+VXBe8fVfmVRlQJQF9gqbV2ubU2E3gHGBy4g7V2pbV2HpDjR4AhVJxj8Z21dq93dTrQNMQxhkJxjsPOgKvVgWhdmeGIx8IzGvg/YH8ogwux4h6LiqA4x+J64AVrbTqAtXZziGMMlZK+L/4MvB2SyET8pfwqj/KrPMqxHOVXeZRf5VF+ladC51cqVAlAE2BNwPW13raKqKTH4lrg83KNyB/FOg7GmL8YY5YBTwK3hSi2UDvisTDG9ASaWWs/C2VgPiju78eF3tSN940xzUITWsgV51i0A9oZY34xxkw3xpwVsuhCq9h/N72pPMcAU0MQl4jflF/lUX6VRzmWo/wqj/KrPMqv8lTo/EqFKpFSMsZcAfQG/uV3LH6x1r5grW0N3A3c63c8fjDGxABjgDv9jiVMfAq0tNZ2Bb4GXvc5Hj/F4Yann4w7y/WqMaa2nwGFgUuB96212X4HIiLhSfmVU9FzLOVXh1F+lUf51eGiLr9SoUoA1gGBVfmm3raKqFjHwhhzOnAPMMhamxGi2EKppO+Jd4Ah5RmQj450LI4COgPfG2NWAv2AT6K04ecR3xfW2m0BvxOvAb1CFFuoFed3ZC3wibU2y1q7AliMS6yiTUn+XlxKFA1LFzkC5Vd5lF/lUY7lKL/Ko/wqj/KrPBU6v1KhSgBmAG2NMccYYyrj3uif+ByTX454LIwxPYBxuCQqWudEF+c4BH4gDASWhDC+UCryWFhrd1hr61lrW1prW+L6agyy1s70J9xyVZz3ReOAq4OABSGML5SK83fzI9zZPowx9XBD1ZeHMMZQKdZniDGmA1AHmBbi+ET8ovwqj/KrPMqxHOVXeZRf5VF+ladC51cqVAnW2gPALcCXuD96k621qcaYh40xgwCMMX2MMWuBi4FxxphU/yIuP8U5Frih6DWA97ylQKMu6SzmcbjFWxJ2DjAKuNqfaMtXMY9FhVDMY3Gb976Yi+upMcyfaMtXMY/Fl8A2Y8x84DvgLmvtNn8iLj8l+B25FHjHWhuNTYFFDqP8Ko/yqzzKsRzlV3mUX+VRfpWnoudXJspej4iIiIiIiIiIRCiNqBIRERERERERkbCgQpWIiIiIiIiIiIQFFapERERERERERCQsqFAlIiIiIiIiIiJhQYUqEREREREREREJCypUiYSAMWaYMcYGXDKNMcuMMY8ZY6qW4vFO9h7n5FLc90FjzKkFbJ9gjFlZ0scrD8aYlcaYCeX4+NYY82Ap7jfMGHNNIdutMaZlMOIrQTzfG2O+D9JjfWmMWV7A9ru91/ZkAbfNMMbMLOPzfh/wezGhGPu/FrD/z2V5bhERiWzKr0pG+VWx4wlafhVM3vvzQWNMSP6H954r93drZTH2vyLf72NcCMKUKKVClUhoXQz0BwYCXwL/AP4V4hgeAA5LpIDRwPkhjsUv/YHXSnG/YcBhiRTwmfeYG8oQU2nc7F2C4UfgGGNM03zbTwT2el8PMsbUAHp49yur2bjjN7oY+z7m7Ts7CM8rIiLRQflVeFB+Vb5Oxr3PQv0/fH+K9x7+wtv3P+UbjlQEqnKKhNYca+1S7/uvjTFtgWuMMbdba3P8DMxau8zP5w8la+30ID/eFmBLMB+zmM87P4gP94P39UTgLQDvjN3xwKvAzcaYatbavd5+xwOxBKdQtbO4PxNr7XJguTFmJ/oMExERR/lVGFB+FXmMMVWstRlF7VOCHG0rsNUYc1ZQgpMKTSOqRPz1B1ANqJe7wRhTzRjzf8aYFd4Q9hXGmHuONMzXGDPAGDPFGLPBGLPXGJNijLnTGBMbsI/1vr0nYFjug95tB4emG2OqGGPSjDFjCnieS7z79QjYdpIx5ltjzC5jzB5vGlnn4hwAY8zt3lD0/caYmcaYEwrZ7xhjzCRjzBZjTIYxZo4x5vyA2y/24upawH2nGGPmBh6HwKHpxpg2xpg3vWO9zxiz3BjzkjGmTsA+3wMnAccHHLvvvdsOG5pujKlkjHnEe22Z3tdHjDGVAvZp6d1vhDHmYe9nt90Y82kBI5sKOiaHDE0PmLIwyBjzvDFmq3eZaIypfYSH+x3Yz6Ejp7oBtYAxQA5wXMBtJwIW+Cng+W83xizwjmG69/OsKGeRRUQkfCi/Un4VLvlVgVMiA2IcFrCtjzHma2PMtoDj9aJ324O40VQAWbnHKuC+Dxlj/jDG7PRim2qM6ZfvOXNfxwXGmFeNMVuATUeKX8QPKlSJ+KslsAPYBmDcXO4vgeuAfwNn44ZQ38eRh7C3Ar7FDZ0eCLwOPAg8GrBPf+/rBO/7Aodoe2dWJgN/DkzEPFcCKdba2V7MA73n3Q1cAVwGHAX8ZIxpVlTAxphrgWeA74AhXlxvA3Xy7dcM+A1XOLkDGIRLQj8wxgzydvsUdyyvyHffhsAA4I0iQjkaWAOMBM4EHgZOA6YE7HMzbrrZPPKOXVHDwl8H/u4977nea7vb257fP4A2uJ/d7d5jTyzisY/k37gi0mXAQ8CF3rZCWWszccc4sFB1IrDYWrsamFHAbanW2tz37uXA07if3znA5cD7QEIZXoeIiEhptET51TMov/I9vyou41oqfAlk46ZCno07Xrmjx18jb0rdn8g7VrmaAGOBwd79NwM/GmO6FPB0zwEG954bFoz4RYLOWquLLrqU8wX3IWCB9rgPnDq4D80DwC0B+13p7XdivvvfA2QCDbzrJ3v7nVzI8xnvee4B0oGYgNss8EgB95kArAy4fry375kB2+oDWcDfArYtBb7N91g1ga3AM0Uckxhc8vJFvu1DveedELDtP7ih33Xz7fs1brh/7vVXgbX5Xu9I7zg3zncMHiwitjhcEmCBHgHbvwd+LuLn29K73rmg5wDu9bZ39a639K5/n2+/v3rbjz7C++r7wPsGvC9ez7ff87jRUuYIj/eQd/963vUPgNe87x/LfS6gqvd4L+R7jj9K8btxyGso4f0O+1nooosuuuhScS4ovyooRuVX4ZdfFRRzbozDvOu9A19DIY/zoLdP3BGeL9Y71ouAfxfwOv5bzN+vBwFbit/LYsWpiy5FXTSiSiS0FuISkTRccjDOWvt8wO1nAauAX40xcbkX4CugEtAv/wPmMsY0NsaMM8aswiVdWcAjQG2gQUkDtdb+AizDJXe5LsUlQJO852wLtAYm5Yt3LzCNfA2482nqXSbn2/4BLvEJdBbu7NuOfM/zJdDNGFPT2+8N3BmlwGamV+ISvUIbcRpjKhtj/mmMWWiM2Yc7drlT2toX8RoKk/u685+1y71+Ur7tU/JdT/a+Ni/Fc4NrPpr/8aoADY9wv9x+U7nxn0DecfgZONYYUxk41nu8HwLuOwPobox5zhhzujGmWiljB9zZ73w/axERkcIov8qj/CpPuORXxbEE2A6MM271vCJHzeXn5V7fGWO24X7OWUA7Cj7O/y1LoMaY2Hx5minL44kURIUqkdA6H+iDmxr1Da5B9VUBtzcAWuA+XAIvv3u31y3oQY3rr/AJbgj0I7hEog95w9JLvESzZyIwxBhT3bt+JTDVWrsuIF5wSWH+mM8tLF5PY+/rIXPjrbUH8IbqB2gAXFXAc+QO1899np+BlV6cGGM6Aj0pelg6wOO4sz8TccP6+wIXeLeV5tjlTnfLn7xtzHd7rrR813ObWpb251bax5uGO64neseuPnkJ5S9AZdyxyU0UAxupvwHchCtifQmkGWM+NKVYUtq7zyE/69I8joiIVBjKr/Iov8oTLvnVEVlrdwCnAOuBF4HVxvVDu/BI9zXG9MQV5XYD1+IKr32AuYXEVtZVFJdx6Pvl6jI+nshhdJZaJLRSrLcqjTFmKm4+/r+MMR9Ya/fgEogVwCWF3H9lIdtb44YMX2mtPXiWyRhzXhnjfRPXuPECY8xvuA+9wA+j3ITnH7jEML/MIh4790PykLNQ3pm8/AnYNlzB5P8Keaz14MYmG2MmAiONMTfhEqrdHPnM0aXAG9baRwLiqHGE+xQlN5FphPswJ+B64O1hxVq71xgzE1eIWgCst26VPay1O4wxyd5tJwJLrLUbA+5rgXG4M4F1cH0rngbexRWvSmI97r2Wf5uIiEhBlF/lUX4VfjJwJ/sCHVZstNbOAS70fla9cT//ycaYbtbalCIe/0LcKKoLrLVZuRu9fGx7AfvbEkV/uPNwI8lyrSjj44kcRoUqEZ9YazOMMXcBH+OaRv4L+AL3YbPbWruwBA+XO80q8MOpEq6hdX6ZQHwxY1xmjPkVl5C0A/YAHwbssgiX3CVaa58oQbzgeh2swSWN4wO2X8jhf5u+wDWMTLXW7jvC476J61VwAe71f2it3XuE+1Qj4Nh5hhewXwaukemR5I40upRDm63m/jy+L8Zj+OVH4C7cGduf8t32M+5scj9cU9YCWWvTgXeNMccCI0oagHWN3WeW9H4iIiLKr5RfhaFVuP5agQYWtrM3+m26MeY+XIP7jkAKeSO44oFdAXephmvCfrAAZYw5FTfFMehFJGtt8pH3EikbFapEfGSt/cQYMwO40xjzPK43wXDgW2PM07ghu5VxZ/QGAUMKSQoW4D4EHzXGZOOSgjsKedr5wEBjzBe4RqDrrbVFjVZ5E3gB6IJrvrg7IH5rjPkL8LHXu2gyrslnQ+A4YLW19rAlmL375hhjHgJeM8YkAe/gVmb5O7Az3+7344bn/+gdp5W4hqmdgVbW2msCHnexd3byCVw/hSMNSweXqF3tjRhaikvCjitgv/m46QRDcWfydllrFxXw2lKMMW8DD3pnxX7FJYL3AW+H+Qf8j7jVcwYCt+a77Sdc0m84dNofxphXcEnTNNxKM+1wCfhX5RyviIjIIZRfKb8KM+8A9xpj7gGm43qA/jlwB2PMucANwEe44lJ14Dbycitwxwnc+/pzINtaOxN3nEcCE7yfeTvcMcmdSioScdSjSsR/9+ISjxu94bpn4lZXuQE333wSbjj4rxQy1NsbgTIEN0f/DVzi8yMumcjvFtyZu09xDbBvOEJ87+KGEzfCJVX5n3sKbipYddzSuV8CT3r7T8u/f777/gf3wXoq7szncNwHd3q+/VbjhkDPxa0+9zXwEq5p5tQCHvpNXBK1Drc085HciutB8Sju9R5FvgTC83+4paJfwx27cUU85jBv/2twP8drvevhPo//Z9xZOcPhI6p+8rZDvkIVrodVL1xfha9xKyJNJPxfr4iIRCflV8qvwsXjuBUCb8EVojpyaDN9cM3U9+EKTJ8DSbj3xxnW2rXePv/D5Vk3494DMwCstV/iilrHe/tcg+s9trS8XpBIeTOurYiIiEjoGWO+xxW/TgNyrLU5R9g/BneS5Vsg1lr7p3IPUkRERKSCMcY8iOulVgk30C/7CPsbIBY3Uu8+oJI3jVGkxDSiSkRE/HYibjrF+CPtCLzi7VvU0twiIiIiEhxZHNq8vjCXe/veV77hSEWgEVUiIuIbY0x78hqobrXWrjzC/i2A+t7VAntYiIiIiEjZGGOOBo72rmYcqQeYMSYBaJV73eufJVIqKlSJiIiIiIiIiEhY0NQ/EREREREREREJCypUiYiIiIiIiIhIWFChSkREREREREREwoIKVSIiIiIiIiIiEhZUqBIRERERERERkbDw/++0Cy+7GukTAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12521,32 +12369,24 @@
   },
   {
    "cell_type": "markdown",
-   "id": "experimental-killer",
-   "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
+   "id": "adverse-interface",
+   "metadata": {},
    "source": [
     "**realative impact assessment for the dry season for the Sturt Plains site**"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "opening-treasury",
-   "metadata": {
-    "jupyter": {
-     "source_hidden": true
-    }
-   },
+   "id": "supreme-ticket",
+   "metadata": {},
    "source": [
     "define the new data set : "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 270,
-   "id": "smoking-supplier",
+   "execution_count": 61,
+   "id": "happy-integer",
    "metadata": {
     "jupyter": {
      "source_hidden": true
@@ -12565,13 +12405,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 271,
-   "id": "hybrid-operation",
+   "execution_count": 62,
+   "id": "intellectual-acting",
    "metadata": {},
    "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<ipython-input-62-983876ea05c4>:65: RuntimeWarning: invalid value encountered in double_scalars\n",
+      "  Med_list.append((MedRes-Benchmark_med)/Benchmark_med)\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x864 with 4 Axes>"
       ]
@@ -12663,7 +12511,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "center-restoration",
+   "id": "operating-behalf",
    "metadata": {},
    "source": [
     "**Models time series with $\\theta$ decreased of 10\\%**\n",
@@ -12673,7 +12521,7 @@
   {
    "cell_type": "code",
    "execution_count": 312,
-   "id": "intense-latter",
+   "id": "horizontal-limitation",
    "metadata": {},
    "outputs": [
     {
@@ -12747,7 +12595,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "complicated-empire",
+   "id": "chicken-miracle",
    "metadata": {},
    "source": [
     "### Sensitivity analysis of the different models\n",
@@ -12762,7 +12610,7 @@
   {
    "cell_type": "code",
    "execution_count": 61,
-   "id": "textile-analysis",
+   "id": "mechanical-impact",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12777,7 +12625,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "tested-restoration",
+   "id": "higher-police",
    "metadata": {},
    "source": [
     "**Evaluate the models on the different meshgrids**"
@@ -12786,7 +12634,7 @@
   {
    "cell_type": "code",
    "execution_count": 62,
-   "id": "modular-bidder",
+   "id": "lucky-enforcement",
    "metadata": {},
    "outputs": [
     {
@@ -12828,7 +12676,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "dynamic-oregon",
+   "id": "presidential-peace",
    "metadata": {},
    "source": [
     "**Plot the results**"
@@ -12837,7 +12685,7 @@
   {
    "cell_type": "code",
    "execution_count": 76,
-   "id": "deadly-contact",
+   "id": "tested-directive",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -12899,7 +12747,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "external-enough",
+   "id": "answering-observer",
    "metadata": {},
    "source": [
     "## One site, different years\n",
@@ -12916,7 +12764,7 @@
   {
    "cell_type": "code",
    "execution_count": 64,
-   "id": "sunrise-bishop",
+   "id": "differential-discharge",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12926,7 +12774,7 @@
   {
    "cell_type": "code",
    "execution_count": 65,
-   "id": "final-flashing",
+   "id": "closed-congress",
    "metadata": {},
    "outputs": [
     {
@@ -12993,7 +12841,7 @@
   {
    "cell_type": "code",
    "execution_count": 233,
-   "id": "white-tuner",
+   "id": "other-desktop",
    "metadata": {},
    "outputs": [
     {
@@ -13038,7 +12886,7 @@
   {
    "cell_type": "code",
    "execution_count": 73,
-   "id": "conventional-narrative",
+   "id": "together-spare",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -13096,7 +12944,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "noted-things",
+   "id": "pediatric-sacramento",
    "metadata": {},
    "source": [
     "## Different sites\n",
@@ -13113,7 +12961,7 @@
   {
    "cell_type": "code",
    "execution_count": 234,
-   "id": "referenced-professional",
+   "id": "subjective-register",
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -13230,7 +13078,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "spectacular-thunder",
+   "id": "backed-complexity",
    "metadata": {},
    "source": [
     "## References\n",
diff --git a/notebooks/Finished_project/simpler_model/theta_gs_relation.png b/notebooks/Finished_project/simpler_model/theta_gs_relation.png
index 50743c7f021081e3bc8d40c7d4ddb5ed3a368879..4916841c24c603ba989bd267ecc4d0b6d90fd463 100644
--- a/notebooks/Finished_project/simpler_model/theta_gs_relation.png
+++ b/notebooks/Finished_project/simpler_model/theta_gs_relation.png
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:260b12d007708c5c379a882e496ff12f0ca69ba757aeba8493737cf8046b8d36
-size 280594
+oid sha256:48a44a39bbeb0b44668b859b7cb2d774e192a0fcf9d1450740d313b4e7ff068e
+size 264365
diff --git a/notebooks/Finished_project/simpler_model/timeSerie_oneSite_oneYear.png b/notebooks/Finished_project/simpler_model/timeSerie_oneSite_oneYear.png
index eef60e6f51b1954b57c5f24b88595c060d97702a..f1470eb2807a6fd512a50f85bb51002529d912a9 100644
Binary files a/notebooks/Finished_project/simpler_model/timeSerie_oneSite_oneYear.png and b/notebooks/Finished_project/simpler_model/timeSerie_oneSite_oneYear.png differ
diff --git a/notebooks/theory/pyFile_storage/theory_equation.py b/notebooks/theory/pyFile_storage/theory_equation.py
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..b0d9c2e9d2767cd0d55feb6f12fcb364b0969bc8 100644
--- a/notebooks/theory/pyFile_storage/theory_equation.py
+++ b/notebooks/theory/pyFile_storage/theory_equation.py
@@ -0,0 +1,186 @@
+# -*- coding: utf-8 -*-
+#
+# This file is for use with essm.
+# Copyright (C) 2021 ETH Zurich, Swiss Data Science Center.
+#
+# essm is free software; you can redistribute it
+# and/or modify it under the terms of the GNU General Public License as
+# published by the Free Software Foundation; either version 2 of the
+# License, or (at your option) any later version.
+#
+# essm is distributed in the hope that it will be
+# useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+# General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with essm; if not, write to the
+# Free Software Foundation, Inc., 59 Temple Place, Suite 330, Boston,
+# MA 02111-1307, USA.
+"""Equations defined in notebooks/theory/theory.ipynb and dependencies."""
+
+from __future__ import division
+
+from __main__ import (
+    T0, VPD, Delta, E, G, L, Mw, Pvs, R, Rn, S, S_mvg, T, alpha, alpha_PT, c1,
+    c_p, e_a, e_s, g_a, g_s, gamma, h, m, n, r_a, r_s, rho_a, theta, theta_1,
+    theta_2, theta_3, theta_4, theta_res, theta_sat
+)
+from essm import Eq
+from essm.equations import Equation
+from sympy import Abs, Eq, Piecewise, exp, log
+
+
+class eq_m_n(Equation):
+    """Relation between n and m parameters in MVG model"""
+
+    expr = Eq(m, 1 - 1 / n)
+
+
+class eq_MVG_neg_case(Equation):
+    """Mualem-Van Genuchtem model if h < 0"""
+
+    expr = Eq(
+        theta,
+        theta_res + ((-theta_res + theta_sat) / (Abs(alpha * h) ** n + 1)) ** m
+    )
+
+
+class eq_MVG(Equation):
+    """Complet Van Genuchtem model"""
+
+    expr = Eq(
+        theta,
+        Piecewise((theta_sat, h > 0), (
+            theta_res + ((-theta_res + theta_sat) /
+                         (Abs(alpha * h) ** n + 1)) ** m, True
+        ))
+    )
+
+
+class eq_sat_degree(Equation):
+    """Relative Saturation degree equation"""
+
+    expr = Eq(S_mvg, (theta - theta_res) / (-theta_res + theta_sat))
+
+
+class eq_MVG_h(Equation):
+    """Mualem Van Genuchten model, h as function of theta"""
+
+    expr = Eq(h, (-1 + S_mvg ** (-1 / m)) ** (1 / n) / alpha)
+
+
+class eq_h_FC(Equation):
+    """Compute the field capacity out of the soil properties"""
+
+    expr = Eq(h, ((n - 1) / n) ** ((1 - 2 * n) / n) / alpha)
+
+
+class eq_theta_4_3(Equation):
+    """Equation valide between theta_4 and theta_3"""
+
+    expr = Eq(
+        theta, theta / (theta_3 - theta_4) + theta_4 / (-theta_3 + theta_4)
+    )
+
+
+class eq_theta_2_1(Equation):
+    """Equation valide between theta_2 and theta_1"""
+
+    expr = Eq(
+        theta, theta / (-theta_1 + theta_2) + theta_1 / (theta_1 - theta_2)
+    )
+
+
+class eq_water_stress_simple(Equation):
+    """Simple water stress factor function (h_3 independant of T_0)"""
+
+    expr = Eq(
+        S,
+        Piecewise((0, theta < theta_4), (
+            theta / (theta_3 - theta_4) + theta_4 /
+            (-theta_3 + theta_4), theta < theta_3
+        ), (1, theta < theta_2), (
+            theta / (-theta_1 + theta_2) + theta_1 /
+            (theta_1 - theta_2), theta < theta_1
+        ), (0, True))
+    )
+
+
+class eq_Pvs_T(Equation):
+    """Saturation vapour pressure, Slide 8"""
+
+    expr = Eq(Pvs, c1 * exp(L * Mw * (1 / T0 - 1 / T) / R))
+
+
+class eq_Delta(Equation):
+    """Slope of d.Pvas(T)/d.T """
+
+    expr = Eq(
+        Delta,
+        L * Mw * c1 * exp(L * Mw * (1 / T0 - 1 / T) / R) / (R * T ** 2)
+    )
+
+
+class eq_PT(Equation):
+    """Priestley-Taylor equation for evaporation flux"""
+
+    expr = Eq(E, Delta * alpha_PT * (-G + Rn) / (L * (Delta + gamma)))
+
+
+class eq_PM(Equation):
+    """Penman-Monteith equation"""
+
+    expr = Eq(
+        E, (Delta * (-G + Rn) + c_p * rho_a * (-e_a + e_s) / r_a) /
+        (L * (Delta + gamma * (1 + r_s / r_a)))
+    )
+
+
+class eq_PM_VPD(Equation):
+    """Penman-Monteith equation using VPD"""
+
+    expr = Eq(
+        E, (Delta * (-G + Rn) + VPD * c_p * rho_a / r_a) /
+        (L * (Delta + gamma * (1 + r_s / r_a)))
+    )
+
+
+class eq_PM_g(Equation):
+    """Penman-Monteith equation using stomatal conductance"""
+
+    expr = Eq(
+        E, (Delta * (-G + Rn) + VPD * c_p * g_a * rho_a) /
+        (L * (Delta + gamma * (g_a / g_s + 1)))
+    )
+
+
+class eq_PM_inv(Equation):
+    """Inverse PM equation for inverse modelling of surface resistance"""
+
+    expr = Eq(
+        r_s, (
+            -Delta * E * L * r_a - Delta * G * r_a + Delta * Rn * r_a -
+            E * L * gamma * r_a + VPD * c_p * rho_a
+        ) / (E * L * gamma)
+    )
+
+
+__all__ = (
+    'eq_m_n',
+    'eq_MVG_neg_case',
+    'eq_MVG',
+    'eq_sat_degree',
+    'eq_MVG_h',
+    'eq_h_FC',
+    'eq_theta_4_3',
+    'eq_theta_2_1',
+    'eq_water_stress_simple',
+    'eq_Pvs_T',
+    'eq_Delta',
+    'eq_PT',
+    'eq_PM',
+    'eq_PM_VPD',
+    'eq_PM_g',
+    'eq_PM_inv',
+)