{ "cells": [ { "cell_type": "markdown", "id": "generic-navigation", "metadata": {}, "source": [ "# **Location of the stress factor in potential evapo-transpiration models**" ] }, { "cell_type": "markdown", "id": "adjacent-solid", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "# Part I - Methodology \n", "\n", "## Motivation \n", "\n", "### Theoretical background\n", "\n", "In the literature, this scaling of the potential evapo-transpiration is commonly found with simpler radiation-temperature models such as the Priestley and Taylor model instead of the Penman-Monteith one. Recall the expression of the Priestley and Taylor model: \n", "\n", "\\begin{equation}\\label{eq_PT}\n", " \\lambda E_{p,PT} = \\alpha \\frac{\\Delta}{\\Delta + \\gamma}(Rn - G)\n", "\\end{equation}\n", "\n", "The Priestley and Taylor is not physicaly based as can be the Penman-Monteith model. Then we aim at investigating the differences obtained when using such a model. \n", "\n", "This notebook compares different newly implemented models : \n", "* Priestley and Taylor model with a stress factor : \n", "\\begin{align}\n", " E_{a, PT} = f_{PAR}.S(\\theta).E_{p,PT}(\\textbf{X})\n", "\\end{align}\n", "\n", "* Modified varying surface conductance Penman-Monteith model :\n", "\\begin{align}\n", " E_{a, var, PM} = f_{PAR}.E_{p,PM mod}(\\textbf{X}, S(\\theta))\n", "\\end{align}\n", "\n", "* Modified constant surface conductance Penman-Monteith model :\n", "\\begin{align}\n", " E_{a, cst, PM} = f_{PAR}.S(\\theta).E_{p,PM mod}(\\textbf{X})\n", "\\end{align}\n", "\n", "The modified version of the Penman-Monteith equation takes into account the double sided exchange of sensible heat. This model was developped at the leaf scale but is tested here at the canopy scale in the framework of the big leaf model (*Schymanski and Or, 2017*). The analytical expression of the modified expression is henceforth: \n", "\\begin{equation}\n", "E = \\frac{1}{\\lambda}\\frac{\\Delta (R_n - G) + c_p \\rho_a g_a a_{sh} VPD }{\\Delta + \\gamma \\left( 1+ \\frac{g_a}{g_s} \\right) \\frac{a_{sh}}{a_s}}\n", "\\end{equation}\n", "\n", "### Modelling experiements\n", "\n", "Different experiments are carried out to compare the different models and assess their behavior: \n", "1. All models are calibrated for a single year and their ability to reproduce an observed time serie is assessed\n", "2. Their prediction capability is evaluated by randomly taking one or several years of data from the Howard Springs dataset, calibrating the model for this specific year and predicting the evapo-transpiration time serie for the other years. \n", "3. The same procedure is repeated across different sites in Australia" ] }, { "cell_type": "markdown", "id": "rotary-preparation", "metadata": {}, "source": [ "# Part II - Functions set up" ] }, { "cell_type": "markdown", "id": "golden-aircraft", "metadata": {}, "source": [ "## Importing relevant packages" ] }, { "cell_type": "code", "execution_count": 1, "id": "spread-volleyball", "metadata": {}, "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", "import matplotlib.pyplot as plt\n", "from matplotlib.patches import Polygon\n", "from matplotlib._layoutgrid import plot_children\n", "from collections import OrderedDict\n", "from IPython.display import display\n", "import os # to look into the other folders of the project\n", "import importlib.util # to open the .py files written somewhere else\n", "#sns.set_theme(style=\"whitegrid\")\n", "\n", "# Sympy and sympbolic mathematics\n", "from sympy import (asin, cos, diff, Eq, exp, init_printing, log, pi, sin, \n", " solve, sqrt, Symbol, symbols, tan, Abs)\n", "from sympy.physics.units import convert_to\n", "init_printing() \n", "from sympy.printing import StrPrinter\n", "from sympy import Piecewise\n", "StrPrinter._print_Quantity = lambda self, expr: str(expr.abbrev) # displays short units (m instead of meter)\n", "from sympy.printing.aesaracode import aesara_function\n", "from sympy.physics.units import * # Import all units and dimensions from sympy\n", "from sympy.physics.units.systems.si import dimsys_SI, SI\n", "\n", "# for ESSM, environmental science for symbolic math, see https://github.com/environmentalscience/essm\n", "from essm.variables._core import BaseVariable, Variable\n", "from essm.equations import Equation\n", "from essm.variables.units import derive_unit, SI, Quantity\n", "from essm.variables.utils import (extract_variables, generate_metadata_table, markdown, \n", " replace_defaults, replace_variables, subs_eq)\n", "from essm.variables.units import (SI_BASE_DIMENSIONS, SI_EXTENDED_DIMENSIONS, SI_EXTENDED_UNITS,\n", " derive_unit, derive_baseunit, derive_base_dimension)\n", "\n", "# For netCDF\n", "import netCDF4\n", "import numpy as np\n", "import xarray as xr\n", "import warnings\n", "from netCDF4 import Dataset\n", "\n", "# For regressions\n", "from sklearn.linear_model import LinearRegression\n", "\n", "# Deactivate unncessary warning messages related to a bug in Numpy\n", "warnings.simplefilter(action='ignore', category=FutureWarning)\n", "\n", "# for calibration\n", "from scipy import optimize\n", "\n", "from random import random" ] }, { "cell_type": "markdown", "id": "enormous-cleanup", "metadata": {}, "source": [ "## Path of the different files (pre-defined python functions, sympy equations, sympy variables)" ] }, { "cell_type": "code", "execution_count": 2, "id": "arctic-fraction", "metadata": { "tags": [ "parameters" ] }, "outputs": [], "source": [ "path_variable = '../../theory/pyFile_storage/theory_variable.py'\n", "path_equation = '../../theory/pyFile_storage/theory_equation.py' \n", "path_analysis_functions = '../../theory/pyFile_storage/analysis_functions.py'\n", "path_data = '../../../data/eddycovdata/'\n", "dates_fPAR = '../../../data/fpar_howard_spring/dates_v5'\n", "\n", "tex_file_whole = \"latex_files/whole_year.tex\"\n", "tex_file_dry = \"latex_files/dry_season.tex\"\n", "tex_file_wet = \"latex_files/wet_season.tex\"\n", "\n", "timeSerie_oneSite_oneYear = 'timeSerie_oneSite_oneYear.png'\n", "inverseModelling = \"inverseModelling.png\"\n", "Influence_atmo_E_dry = \"Influence_atmo_E_dry.png\"\n", "Influence_atmo_E_wet = \"Influence_atmo_E_wet.png\"\n", "Influence_atmo_rel_dry = \"Influence_atmo_rel_dry.png\"\n", "Influence_atmo_rel_wet = \"Influence_atmo_rel_wet.png\"\n", "sensitivity_parameters = \"sensitivity_parameters.png\"\n", "statistical_assessment = \"statistical_assessment.png\"\n", "different_sites = \"different_sites.png\"" ] }, { "cell_type": "markdown", "id": "dying-notion", "metadata": {}, "source": [ "## Importing the sympy variables and equations defined in the theory.ipynb notebook" ] }, { "cell_type": "code", "execution_count": 3, "id": "adverse-campus", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "theta_sat\n", "theta_res\n", "alpha\n", "n\n", "m\n", "S_mvg\n", "theta\n", "h\n", "S\n", "theta_4\n", "theta_3\n", "theta_2\n", "theta_1\n", "L\n", "Mw\n", "Pv\n", "Pvs\n", "R\n", "T\n", "c1\n", "T0\n", "Delta\n", "E\n", "G\n", "H\n", "Rn\n", "LE\n", "gamma\n", "alpha_PT\n", "c_p\n", "w\n", "kappa\n", "z\n", "u_star\n", "VH\n", "d\n", "z_om\n", "z_oh\n", "r_a\n", "g_a\n", "r_s\n", "g_s\n", "c1_e\n", "c2_e\n", "e\n", "T_min\n", "T_max\n", "RH_max\n", "RH_min\n", "e_a\n", "e_s\n", "iv_T\n", "T_kv\n", "P\n", "rho_a\n", "VPD\n", "eq_m_n\n", "eq_MVG_neg_case\n", "eq_MVG\n", "eq_sat_degree\n", "eq_MVG_h\n", "eq_h_FC\n", "eq_theta_4_3\n", "eq_theta_2_1\n", "eq_water_stress_simple\n", "eq_Pvs_T\n", "eq_Delta\n", "eq_PT\n", "eq_PM\n", "eq_PM_VPD\n", "eq_PM_g\n", "eq_PM_inv\n" ] } ], "source": [ "for code in [path_variable,path_equation]:\n", " name_code = code[-20:-3]\n", " spec = importlib.util.spec_from_file_location(name_code, code)\n", " mod = importlib.util.module_from_spec(spec)\n", " spec.loader.exec_module(mod)\n", " names = getattr(mod, '__all__', [n for n in dir(mod) if not n.startswith('_')])\n", " glob = globals()\n", " for name in names:\n", " print(name)\n", " glob[name] = getattr(mod, name)" ] }, { "cell_type": "markdown", "id": "editorial-looking", "metadata": {}, "source": [ "## Importing the performance assessment functions defined in the analysis_function.py file" ] }, { "cell_type": "code", "execution_count": 4, "id": "attended-broad", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "AIC\n", "AME\n", "BIC\n", "CD\n", "CP\n", "IoA\n", "KGE\n", "MAE\n", "MARE\n", "ME\n", "MRE\n", "MSRE\n", "MdAPE\n", "NR4MS4E\n", "NRMSE\n", "NS\n", "NSC\n", "PDIFF\n", "PEP\n", "R4MS4E\n", "RAE\n", "RMSE\n", "RVE\n", "np\n", "nt\n" ] } ], "source": [ "for code in [path_analysis_functions]:\n", " name_code = code[-20:-3]\n", " spec = importlib.util.spec_from_file_location(name_code, code)\n", " mod = importlib.util.module_from_spec(spec)\n", " spec.loader.exec_module(mod)\n", " names = getattr(mod, '__all__', [n for n in dir(mod) if not n.startswith('_')])\n", " glob = globals()\n", " for name in names:\n", " print(name)\n", " glob[name] = getattr(mod, name)" ] }, { "cell_type": "markdown", "id": "photographic-desktop", "metadata": {}, "source": [ "## Data import, preprocess and shape for the computations" ] }, { "cell_type": "markdown", "id": "successful-portugal", "metadata": {}, "source": [ "### Get the different files where data are stored\n", "\n", "Eddy-covariance data from the OzFlux network are stored in **.nc** files (NetCDF4 files) which is roughly a panda data frame with meta-data (see https://www.unidata.ucar.edu/software/netcdf/ for more details about NetCDF4 file format). fPAR data are stored in **.txt** files" ] }, { "cell_type": "code", "execution_count": 5, "id": "trying-answer", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['../../../data/eddycovdata/fpar_adelaide_v5.txt', '../../../data/eddycovdata/fpar_daly_v5.txt', '../../../data/eddycovdata/fpar_dry_v5.txt', '../../../data/eddycovdata/fpar_howard_v5.txt', '../../../data/eddycovdata/fpar_sturt_v5.txt']\n", "['../../../data/eddycovdata/AdelaideRiver_L4.nc', '../../../data/eddycovdata/DalyUncleared_L4.nc', '../../../data/eddycovdata/DryRiver_L4.nc', '../../../data/eddycovdata/HowardSprings_L4.nc', '../../../data/eddycovdata/SturtPlains_L4.nc']\n" ] } ], "source": [ "fPAR_files = []\n", "eddy_files = []\n", "\n", "for file in os.listdir(path_data):\n", " if file.endswith(\".txt\"):\n", " fPAR_files.append(os.path.join(path_data, file))\n", " elif file.endswith(\".nc\"):\n", " eddy_files.append(os.path.join(path_data, file))\n", " \n", "fPAR_files.sort()\n", "print(fPAR_files)\n", "eddy_files.sort()\n", "print(eddy_files)" ] }, { "cell_type": "markdown", "id": "fundamental-collection", "metadata": {}, "source": [ "### Define and test a function that process the fPAR data\n", "In the **.txt** files, only one value per month is given for the fPAR. The following function takes one .txt file containing data about the fPAR coefficients, and the related dates, stored in the a seperate file. The fPAR data (date and coefficients) are cleaned (good string formatting), mapped together and averaged to output one value per month (the fPAR measurement period doesn't spans the measurement period of the eddy covariance data)" ] }, { "cell_type": "code", "execution_count": 6, "id": "union-cheese", "metadata": {}, "outputs": [], "source": [ "def fPAR_data_process(fPAR_file,dates_fPAR):\n", " \n", " fparv5_dates = np.genfromtxt(dates_fPAR, dtype='str', delimiter=',')\n", " fparv5_dates = pd.to_datetime(fparv5_dates[:,1], format=\"%Y%m\")\n", " dates_pd = pd.date_range(fparv5_dates[0], fparv5_dates[-1], freq='MS')\n", "\n", " fparv5_howard = np.loadtxt(fPAR_file,delimiter=',', usecols=3 )\n", " fparv5_howard[fparv5_howard == -999] = np.nan\n", " fparv5_howard_pd = pd.Series(fparv5_howard, index = fparv5_dates)\n", " fparv5_howard_pd = fparv5_howard_pd.resample('MS').max()\n", "\n", " # convert fparv5_howard_pd to dataframe\n", " fPAR_pd = pd.DataFrame(fparv5_howard_pd)\n", " fPAR_pd = fPAR_pd.rename(columns={0:\"fPAR\"})\n", " fPAR_pd.index = fPAR_pd.index.rename(\"time\")\n", "\n", " # convert fPAR_pd to xarray to aggregate the data\n", " fPAR_xr = fPAR_pd.to_xarray()\n", " fPAR_agg = fPAR_xr.fPAR.groupby('time.month').max()\n", "\n", " # convert back to dataframe\n", " fPAR_pd = fPAR_agg.to_dataframe()\n", " Month = np.arange(1,13)\n", " Month_df = pd.DataFrame(Month)\n", " Month_df.index = fPAR_pd.index\n", " Month_df = Month_df.rename(columns={0:\"Month\"})\n", "\n", " fPAR_mon = pd.concat([fPAR_pd,Month_df], axis = 1)\n", " \n", " return(fPAR_mon)" ] }, { "cell_type": "code", "execution_count": 7, "id": "hired-gather", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " fPAR Month\n", "month \n", "1 0.78 1\n", "2 0.84 2\n", "3 0.79 3\n", "4 0.84 4\n", "5 0.71 5\n", "6 0.75 6\n", "7 0.60 7\n", "8 0.54 8\n", "9 0.52 9\n", "10 0.67 10\n", "11 0.73 11\n", "12 0.78 12" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "fPAR_data_process(fPAR_files[3],dates_fPAR)" ] }, { "cell_type": "markdown", "id": "perfect-copper", "metadata": {}, "source": [ "### fPARSet function\n", "Map the fPAR time serie to the given eddy-covariance data. Takes two dataframes as input (one containing the fPAR data, the other containing the eddy-covariance data) and returns a data frame where the fPAR monthly values have been scaled to the time scale of the eddy covariance data" ] }, { "cell_type": "code", "execution_count": 8, "id": "worse-agency", "metadata": {}, "outputs": [], "source": [ "def fPARSet(df_add, fPAR_pd):\n", " \n", " # construct the time serie of the fPAR coefficients\n", " dummy_len = df_add[\"Fe\"].size\n", " fPAR_val = np.zeros((dummy_len,))\n", " \n", " dummy_pd = df_add\n", " dummy_pd.reset_index(inplace=True)\n", " dummy_pd.index=dummy_pd.time\n", " \n", " month_pd = dummy_pd['time'].dt.month\n", " \n", " for i in range(dummy_len):\n", " current_month = month_pd.iloc[i]\n", " line_fPAR = fPAR_pd[fPAR_pd['Month'] == current_month]\n", " fPAR_val[i] = line_fPAR['fPAR']\n", " \n", " # transform fPAR_val into dataframe to concatenate to df:\n", " fPAR = pd.DataFrame(fPAR_val, index = df_add.index)\n", " df_add = pd.concat([df_add,fPAR], axis = 1)\n", " df_add = df_add.rename(columns = {0:\"fPAR\"})\n", " \n", " return(df_add)" ] }, { "cell_type": "markdown", "id": "interstate-noise", "metadata": {}, "source": [ "### DataChose function\n", "\n", "Function taking the raw netcdf4 data file from the eddy covariance measurement and shape it such that it can be used for the computations. Only relevant variables are kept (latent heat flux, net radiation, ground heat flux, soil water content, wind speed, air temperature, VPD, bed shear stress). The desired data period is selected and is reshaped at the desired time scale (daily by default). Uses the fPARSet function defined above\n", "\n", "List of variable abbreviation : \n", "* `Rn` : Net radiation flux\n", "* `G` : Ground heat flux \n", "* `Sws` : soil moisture\n", "* `Ta` : Air temperature\n", "* `RH` : Relative humidity\n", "* `W` : Wind speed\n", "* `E` : measured evaporation\n", "* `VPD` : Vapour pressure deficit" ] }, { "cell_type": "code", "execution_count": 9, "id": "parallel-hygiene", "metadata": {}, "outputs": [], "source": [ "def DataChose(ds_ref, period_sel, fPAR_given, Freq = \"D\", sel_period_flag = True):\n", " \"\"\"Take subset of dataset if Flag == True, entire dataset else\n", " \n", " ds_ref: xarray object to be considered as the ref for selecting attributes\n", " agg_flag: aggregate the data at daily time scale if true\n", " Flag: select specific period if true (by default)\n", " period: time period to be selected\n", " ----------\n", " Method : \n", " - transform the xarray in panda dataframe for faster iteration\n", " - keep only the necessary columns : Fe, Fn, Fg, Ws, Sws, Ta, ustar, RH\n", " - transform / create new variables : Temperature in °C, T_min/T_max, RH_min/RH_max\n", " - create the Data vector (numpy arrays)\n", " - create back a xarray \n", " - return an xarray\n", " ----------\n", " \n", " Returns an xarray and a Data vector\n", " \"\"\"\n", " \n", " if sel_period_flag:\n", " df = ds_ref.sel(time = period_sel) \n", " # nameXarray_output = period + \"_\" + nameXarray_output\n", " else : \n", " df = ds_ref\n", " \n", " # keep only the columns of interest\n", " df = df[[\"Fe\",\"Fn\",\"Fg\",\"Ws\",\"Sws\",\"Ta\",\"ustar\",\"RH\", \"VPD\",\"ps\"]]\n", " \n", " # convert to dataframe\n", " df = df.to_dataframe()\n", " \n", " # aggregate following the rule stated in freq\n", " pd_Tmin = df.Ta.groupby([pd.Grouper(level = \"latitude\"), pd.Grouper(level = \"longitude\"), pd.Grouper(level = \"time\", freq = Freq)]).min()\n", " \n", " pd_Tmax = df.Ta.groupby([pd.Grouper(level = \"latitude\"), pd.Grouper(level = \"longitude\"), pd.Grouper(level = \"time\", freq = Freq)]).max()\n", " \n", " pd_RHmin = df.RH.groupby([pd.Grouper(level = \"latitude\"), pd.Grouper(level = \"longitude\"), pd.Grouper(level = \"time\", freq = Freq)]).min()\n", " \n", " pd_RHmax = df.RH.groupby([pd.Grouper(level = \"latitude\"), pd.Grouper(level = \"longitude\"), pd.Grouper(level = \"time\", freq = Freq)]).max()\n", " \n", " df = df.groupby([pd.Grouper(level = \"latitude\"), pd.Grouper(level = \"longitude\"), pd.Grouper(level = \"time\", freq = Freq)]).mean()\n", " df = pd.DataFrame(df)\n", " \n", " pd_Tmin = pd.DataFrame(pd_Tmin, index = df.index)\n", " pd_Tmin = pd_Tmin.rename(columns = {\"Ta\":\"Ta_min\"})\n", " \n", " pd_Tmax = pd.DataFrame(pd_Tmax, index = df.index)\n", " pd_Tmax = pd_Tmax.rename(columns = {\"Ta\":\"Ta_max\"})\n", " \n", " pd_RHmin = pd.DataFrame(pd_RHmin, index = df.index)\n", " pd_RHmin = pd_RHmin.rename(columns = {\"RH\":\"RH_min\"})\n", " \n", " pd_RHmax = pd.DataFrame(pd_RHmax, index = df.index)\n", " pd_RHmax = pd_RHmax.rename(columns = {\"RH\":\"RH_max\"})\n", " \n", " df = pd.concat([df,pd_Tmin,pd_Tmax,pd_RHmin,pd_RHmax],axis = 1)\n", " \n", " # convert data to the good units : \n", " df[\"Fe\"] = df[\"Fe\"]/2.45e6 # divide by latent heat of vaporization\n", " df[\"Ta\"] = df[\"Ta\"]+273 # convert to kelvin\n", " df[\"VPD\"] = df[\"VPD\"]*1000 # convert from kPa to Pa\n", " \n", " # construct the time serie of the fPAR coefficients\n", " df = fPARSet(df,fPAR_given)\n", " \n", " # initialise array for the error\n", " Error_obs = np.zeros((df.Fe.size,))\n", " \n", " for i in range(df.Fe.size):\n", " size_window_left, size_window_right = min(i,7),min(df.Fe.size - i-1, 7)\n", " #print(size_window_left, size_window_right)\n", " sub_set = df.Fe[i-size_window_left : i+size_window_right].to_numpy()\n", " mean_set = np.mean(sub_set)\n", " sdt_set = np.std(sub_set)\n", " error_obs = 2*sdt_set\n", " Error_obs[i] = error_obs\n", " \n", " ErrorObs = pd.DataFrame(Error_obs, index = df.index)\n", " \n", " df = pd.concat([df,ErrorObs], axis = 1)\n", " df = df.rename(columns = {0:\"error\"})\n", "\n", " \n", " return(df)" ] }, { "cell_type": "markdown", "id": "distant-payday", "metadata": {}, "source": [ "## Compile the different functions defined in the symbolic domain\n", "All functions defined with sympy and ESSM are defined in the symbolic domain. In order to be efficiently evaluated, they need to be vectorized to allow computations with numpu arrays. We use the *aesara* printing compiler from the sympy package. Note that this printer replace the older one (*theano*) which is deprecated. A comparison of the performances between the two packages can be found in the aesara repository." ] }, { "cell_type": "markdown", "id": "loose-benefit", "metadata": {}, "source": [ "### Water stress functions" ] }, { "cell_type": "code", "execution_count": 10, "id": "invisible-merchant", "metadata": {}, "outputs": [], "source": [ "def rising_slope_compiled():\n", " \"\"\"Compile the slope of the function between theta 4 and theta 3\"\"\"\n", " \n", " rising_slope = aesara_function([theta,theta_3, theta_4], [eq_theta_4_3.rhs], dims = {theta:1, theta_3:1, theta_4:1})\n", " \n", " return(rising_slope)\n", "\n", "def desc_slope_compiled():\n", " \"\"\"Compile the slope of the function between theta 2 and theta 1\"\"\"\n", " \n", " desc_slope = aesara_function([theta,theta_1, theta_2], [eq_theta_2_1.rhs], dims = {theta:1, theta_1:1, theta_2:1})\n", " \n", " return(desc_slope)" ] }, { "cell_type": "markdown", "id": "ready-aurora", "metadata": {}, "source": [ "### Soil water potential" ] }, { "cell_type": "code", "execution_count": 11, "id": "impossible-potential", "metadata": {}, "outputs": [], "source": [ "def relative_saturation_compiled(ThetaRes, ThetaSat):\n", " \"\"\"Compile the relative saturation function of a soil\"\"\"\n", " Dict_value = {theta_res : ThetaRes, theta_sat : ThetaSat}\n", " \n", " S_mvg_func = aesara_function([theta], [eq_sat_degree.rhs.subs(Dict_value)], dims = {theta:1})\n", " \n", " return(S_mvg_func)" ] }, { "cell_type": "code", "execution_count": 12, "id": "choice-instrument", "metadata": {}, "outputs": [], "source": [ "def Psi_compiled(alphaVal, nVal):\n", " \"\"\"Compile the soil water retention function as function of theta\"\"\"\n", " mVal = 1-1/nVal\n", " \n", " Dict_value = {alpha : alphaVal, n : nVal, m : mVal}\n", " \n", " Psi_function = aesara_function([S_mvg], [eq_MVG_h.rhs.subs(Dict_value)], dims = {S_mvg:1})\n", " \n", " return(Psi_function)" ] }, { "cell_type": "markdown", "id": "specific-awareness", "metadata": {}, "source": [ "### Penman-Monteith" ] }, { "cell_type": "code", "execution_count": 13, "id": "direct-chess", "metadata": {}, "outputs": [], "source": [ "def Delta_compiled():\n", " \"\"\"Compile the Delta function\"\"\"\n", " \n", " # creating the dictionnary with all default values from the above defined constants\n", " var_dict = Variable.__defaults__.copy()\n", " \n", " # computing delta values out of temperature values (slope of the water pressure curve)\n", " Delta_func = aesara_function([T],[eq_Delta.rhs.subs(var_dict)], dims = {T:1})\n", " \n", " return(Delta_func)" ] }, { "cell_type": "code", "execution_count": 14, "id": "emotional-aquarium", "metadata": {}, "outputs": [], "source": [ "def VH_func_compiled(z_val):\n", " \"\"\"Compute the vegetation height function\n", " --------------------------------------------------------\n", " z : height of the measurements (m)\n", " kappa : Von Karman constant\n", " \n", " w : wind velocity (m/s)\n", " u_star : shear stress velocity (m/s)\n", " --------------------------------------------------------\n", " \n", " Return a function with w and u_star as degrees of freedom\n", " \"\"\"\n", " # get the constant values\n", " Dict_value = {z:z_val,kappa:kappa.definition.default}\n", " \n", " # compile the function\n", " VH_func = aesara_function([w,u_star],[VH.definition.expr.subs(Dict_value)], dims = {w:1, u_star:1})\n", " \n", " return(VH_func)" ] }, { "cell_type": "code", "execution_count": 15, "id": "eleven-experiment", "metadata": {}, "outputs": [], "source": [ "def d_func_compiled():\n", " \"\"\"Compile the zero plane displacement height function\n", " --------------------------------------------------------\n", " VH : Vegetation height\n", " --------------------------------------------------------\n", " \n", " return a function with VH as degree of freedom\n", " \"\"\"\n", " \n", " # compile the function \n", " d_func = aesara_function([VH], [d.definition.expr], dims = {VH:1})\n", " \n", " return(d_func)" ] }, { "cell_type": "code", "execution_count": 16, "id": "responsible-williams", "metadata": {}, "outputs": [], "source": [ "def zom_func_compiled():\n", " \"\"\"Compile the characteristic momentum height exchange\n", " --------------------------------------------------------\n", " VH : Vegetation height\n", " --------------------------------------------------------\n", " \n", " return a function with VH as degree of freedom\n", " \"\"\"\n", " \n", " # compile the function \n", " zom_func = aesara_function([VH], [z_om.definition.expr], dims = {VH:1})\n", " \n", " return(zom_func)" ] }, { "cell_type": "code", "execution_count": 17, "id": "chemical-reform", "metadata": {}, "outputs": [], "source": [ "def zoh_func_compiled():\n", " \"\"\"Compile the characteristic heat height exchange\n", " --------------------------------------------------------\n", " VH : Vegetation height\n", " --------------------------------------------------------\n", " \n", " return a function with VH as degree of freedom\n", " \"\"\"\n", " \n", " # compile the function \n", " zoh_func = aesara_function([z_om], [z_oh.definition.expr], dims = {z_om:1})\n", " \n", " return(zoh_func)" ] }, { "cell_type": "code", "execution_count": 18, "id": "piano-lesbian", "metadata": {}, "outputs": [], "source": [ "def ra_func_compiled(z_val):\n", " \"\"\"Substitutes the different terms of the r_a expression\n", " --------------------------------------------------------\n", " z : height of the measurement (m)\n", " \n", " d : zero plane displacement height (m)\n", " zoh_val : characteristic height of the heat transfert\n", " zom_val : characteristic height of the momentum transfert\n", " --------------------------------------------------------\n", " \n", " returns the compiled expression of r_a evaluable according to the wind speed\n", " \"\"\"\n", " # evaluate the values in the expression\n", " Dict_value = {z:z_val,kappa:kappa.definition.default}\n", " \n", " # compile the function\n", " ra_func = aesara_function([z_om,z_oh,d,w], [r_a.definition.expr.subs(Dict_value)], dims = {z_om:1,z_oh:1,d:1,w:1})\n", " \n", " return(ra_func)" ] }, { "cell_type": "code", "execution_count": 19, "id": "stunning-bullet", "metadata": {}, "outputs": [], "source": [ "def ea_func_compiled():\n", " \"\"\" Compute the actual water vapour deficit with RH and T (min/max) left as degree of freedom\n", " --------------------------------------------------------\n", " c1 : internal variable \n", " c2 : internal variable \n", " \n", " T_min : time serie of daily min temperature\n", " T_max : time serie of daily max temperature \n", " RH_min : time serie of daily min relative humidity \n", " RH_max : time serie of daily max relative humidity\n", " --------------------------------------------------------\n", " \n", " retunrs the compiled expression of the e_a function with four degrees of freedom \n", " \"\"\"\n", " \n", " # get the constants\n", " Dict_value = {c1_e:c1_e.definition.default, c2_e:c2_e.definition.default}\n", " \n", " #compile the function\n", " ea_func = aesara_function([T_min,T_max,RH_min,RH_max],[e_a.definition.expr.subs(Dict_value)], dims={T_min:1, T_max:1, RH_min:1, RH_max:1})\n", " \n", " return(ea_func)" ] }, { "cell_type": "code", "execution_count": 20, "id": "functioning-relation", "metadata": {}, "outputs": [], "source": [ "def es_func_compiled():\n", " \"\"\"Compute the saturation water vapour deficit with T (min / max) left as degree of freedom \n", " --------------------------------------------------------\n", " c1 : internal variable \n", " c2 : internal variable \n", " \n", " T_min : time serie of daily min temperature\n", " T_max : time serie of daily max temperature \n", " --------------------------------------------------------\n", " \n", " retunrs the compiled expression of the e_s function with four degrees of freedom \n", " \"\"\"\n", " \n", " # get the constants\n", " Dict_value = {c1_e:c1_e.definition.default, c2_e:c2_e.definition.default}\n", " \n", " #compile the function\n", " ea_func = aesara_function([T_min,T_max],[e_s.definition.expr.subs(Dict_value)], dims={T_min:1, T_max:1})\n", " \n", " return(ea_func) " ] }, { "cell_type": "code", "execution_count": 21, "id": "fuzzy-nursery", "metadata": {}, "outputs": [], "source": [ "def PM_compiled():\n", " \"\"\" Compute the compiled version of the PM VPD equation\n", " --------------------------------------------------------\n", " c_p : specific heat of the air\n", " rho_a : mean air density\n", " gamma : psychrometric constant\n", " L : Latent heat flux\n", " \n", " r_s : Surface resistance -> given (can also be modeled)\n", " G : ground heat flux -> comes from the data\n", " Rn : net radiation flux -> comes from the data \n", " Delta : slope of the saturation curve -> computed above\n", " r_a : aerodynamic resistance -> computed above\n", " --------------------------------------------------------\n", " \n", " returns the evaporation flux (in mm/time) with Delta, G, Rn, e_a, e_s, r_a as degrees of freedom\n", " \"\"\"\n", " \n", " # get the constant values\n", " Dict_value = {c_p:c_p.definition.default, rho_a:rho_a.definition.default, L:L.definition.default, gamma:gamma.definition.default}\n", " \n", " # compile the function\n", " PM_func = aesara_function([G,Rn,Delta,VPD,g_a, g_s], [eq_PM_g.rhs.subs(Dict_value)], dims = {G:1,Rn:1,Delta:1,VPD:1,g_a:1, g_s:1})\n", " \n", " return(PM_func)" ] }, { "cell_type": "code", "execution_count": 22, "id": "eleven-approval", "metadata": {}, "outputs": [], "source": [ "def PT_compiled():\n", " \"\"\"Compute the Priestley-Taylor equation,\n", " need 4 input : temperature, net radiations, ground heat flux and alpha PT parameter\n", " Each must be given as np.array\n", " Return the compiled function\n", " \"\"\"\n", " \n", " # creating the dictionnary with all default values from the above defined constants\n", " var_dict = Variable.__defaults__.copy()\n", " \n", " # Computing the values of evaporation using the Priestley-Taylor model\n", " PT_func = aesara_function([Delta,Rn,G, alpha_PT],[eq_PT.rhs.subs(var_dict)],dims = {Delta:1,Rn:1,G:1, alpha_PT:1})\n", "\n", " return(PT_func)" ] }, { "cell_type": "code", "execution_count": 23, "id": "hispanic-romance", "metadata": {}, "outputs": [], "source": [ "def rs_PM_inv():\n", " \"Derive the time serie of the surface resistance out of the observed latent heat fluxes --> inverse modelling of the PM equation\"\n", " \n", " #get the constant values \n", " Dict_value = {c_p:c_p.definition.default, rho_a:rho_a.definition.default, L:L.definition.default, gamma:gamma.definition.default}\n", " \n", " # compile the function\n", " Inv_PM = aesara_function([E,G,Rn,Delta,VPD,r_a], [eq_PM_inv.rhs.subs(Dict_value)], dims = {E:1,G:1,Rn:1,Delta:1,VPD:1,r_a:1})\n", " \n", " return(Inv_PM)" ] }, { "cell_type": "markdown", "id": "thorough-compact", "metadata": {}, "source": [ "### Assign the different compiled functions to variables functions (create the functions in python)" ] }, { "cell_type": "code", "execution_count": 24, "id": "exempt-measure", "metadata": {}, "outputs": [], "source": [ "# Water_stress properties: \n", "rising_slope = rising_slope_compiled() # takes theta, theta_3, theta_4 in this order as input\n", "desc_slope = desc_slope_compiled() # takes theta, theta_1, theta_2 in this order as input\n", "\n", "# properties : \n", "delta_func = Delta_compiled() # takes Ta as input\n", "z_val = 23 # change the values of the aerodynamic constants here !!!\n", "VH_func = VH_func_compiled(z_val)\n", "d_func = d_func_compiled()\n", "zom_func = zom_func_compiled()\n", "zoh_func = zoh_func_compiled()\n", "ra_func = ra_func_compiled(z_val)\n", "eSat_func = es_func_compiled()\n", "ea_func = ea_func_compiled()\n", "\n", "# models\n", "PM_func = PM_compiled()\n", "PT_func = PT_compiled()\n", "Inv_PM_func = rs_PM_inv()" ] }, { "cell_type": "code", "execution_count": 25, "id": "wooden-indianapolis", "metadata": {}, "outputs": [], "source": [ "def stress_factor_func(psi_vec,Psi_3,Psi_4):\n", " \n", " Length = psi_vec.size\n", " \n", " Stress_func = np.zeros((Length,))\n", " Psi_3 = np.array([Psi_3])\n", " Psi_4 = np.array([Psi_4])\n", " for j in range(Length):\n", " try:\n", " Psi_val = psi_vec[j]\n", " except Exception as error:\n", " print(psi_vec,error)\n", " # have to convert float to arrays in order to run the compiled functions\n", " Psi_val = np.array([Psi_val])\n", " if (Psi_val < Psi_4):\n", " Stress_func[j] = 0\n", " elif (Psi_val >= Psi_4) & (Psi_val < Psi_3):\n", " Stress_func[j] = float(rising_slope(Psi_val,Psi_3,Psi_4))\n", " else:\n", " Stress_func[j] = 1\n", " return(Stress_func)" ] }, { "cell_type": "markdown", "id": "outer-modem", "metadata": {}, "source": [ "## Functions to run the different models\n", "Once the functions has been defined in sympy, compiled with aesara and assign to a useful python function, it is now time to link it with the data to carry out the final computations ! All the following functions take a dataframe as input, and the related parameters ($\\theta_3$ and $\\theta_4$ for the stress function) and return a numpy array and a dictionnary containing the values of the model run and some miscellaneous information." ] }, { "cell_type": "markdown", "id": "theoretical-lunch", "metadata": {}, "source": [ "### Varying surface resistance model" ] }, { "cell_type": "code", "execution_count": 26, "id": "fitted-capitol", "metadata": {}, "outputs": [], "source": [ "def PM_run_var(data, Psi_3_val, Psi_4_val, gs_val = 1/70, 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", " Psi_3_val: vector of the same size as the vectors in data, full of the value Psi_3\n", " Psi_4_val: vector of the same size as the vectors in data, full of the value Psi_4\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 1/Ra_T\n", "\n", " # surface resistance:\n", " Gs_T = gs_val*FF_vec+0.0001\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_var = fPAR_val*PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_T) # R_s varying with theta\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_T, \"D_T\":D_T}\n", " \n", " return(PM_var)" ] }, { "cell_type": "markdown", "id": "enormous-delicious", "metadata": {}, "source": [ "### Constant surface conductance model" ] }, { "cell_type": "code", "execution_count": 27, "id": "afraid-security", "metadata": {}, "outputs": [], "source": [ "def PM_run_cst(data, Psi_3_val, Psi_4_val, gs_val = 1/70, 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", " T1_val: vector of the same size as the vectors in data, full of the value T1\n", " T3_val: vector of the same size as the vectors in data, full of the value T3\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " \n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 1/Ra_T\n", "\n", " # surface resistance:\n", " Gs_C = gs_val*np.ones((Ta_val.size,)) # -> for constant resistance model -> Rs is constant and Ea = S(theta)*E_PM\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_cst = fPAR_val*FF_vec*PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_C) # R_s constant but stress factor in front of the PM evaluation\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_C, \"D_T\":D_T}\n", " \n", " return(PM_cst)" ] }, { "cell_type": "markdown", "id": "short-roberts", "metadata": {}, "source": [ "### Benchmark Penman-Monteith model" ] }, { "cell_type": "code", "execution_count": 28, "id": "simple-bermuda", "metadata": {}, "outputs": [], "source": [ "def PM_run_classic_fPAR(data, gs_val = 1/70, 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", " Rs_val: value of the SR\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 1/Ra_T\n", "\n", " # surface resistance:\n", " Gs_C = gs_val*np.ones((Ta_val.size,)) # -> for constant resistance model -> Rs is constant and Ea = S(theta)*E_PM\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_cst = fPAR_val*PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_C) # R_s constant but stress factor in front of the PM evaluation\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_C, \"D_T\":D_T}\n", " \n", " return(PM_cst)" ] }, { "cell_type": "code", "execution_count": 29, "id": "cognitive-queens", "metadata": {}, "outputs": [], "source": [ "def PM_run_classic(data, gs_val = 1/70, 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", " Rs_val: value of the SR\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 1/Ra_T\n", "\n", " # surface resistance:\n", " Gs_C = gs_val*np.ones((Ta_val.size,)) # -> for constant resistance model -> Rs is constant and Ea = S(theta)*E_PM\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_cst = PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_C) # R_s constant but stress factor in front of the PM evaluation\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_C, \"D_T\":D_T}\n", " \n", " return(PM_cst)" ] }, { "cell_type": "markdown", "id": "incoming-unknown", "metadata": {}, "source": [ "### Modified version of the PM equation\n", "\n", "2 Sided PM evapotranspiration model from *Schymanski and Or, 2017* : \n", "\\begin{equation}\n", "E = \\frac{1}{\\lambda}\\frac{\\Delta (R_n - G) + c_p \\rho_a g_a a_{sh} VPD }{\\Delta + \\gamma \\left( 1+ \\frac{g_a}{g_s} \\right) \\frac{a_{sh}}{a_s}}\n", "\\end{equation}\n", "\n", "with $a_{sh}$ and $a_s$ the fraction of projected area exchanging sensible heat flux with the air and fractio of one sided-leaf area covered by stomatas respectively. In the case of amphistomateous leaves, $a_s = 2$ and $a_s = 1$ for hypostomateous leaves. For the Howard Spring site, we consider $a_s = 2$" ] }, { "cell_type": "code", "execution_count": 30, "id": "conservative-pledge", "metadata": {}, "outputs": [], "source": [ "def PM_run_2var(data, Psi_3_val, Psi_4_val, gs_val = 1/70, 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", " Psi_3_val: vector of the same size as the vectors in data, full of the value Psi_3\n", " Psi_4_val: vector of the same size as the vectors in data, full of the value Psi_4\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 2/Ra_T # multiply by 2 to account for the 2 sided exchange of latent heat flux\n", "\n", " # surface resistance:\n", " Gs_T = gs_val*FF_vec+0.0001\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_var = fPAR_val*PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_T) # R_s varying with theta\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_T, \"D_T\":D_T}\n", " \n", " return(PM_var)" ] }, { "cell_type": "code", "execution_count": 31, "id": "characteristic-virtue", "metadata": {}, "outputs": [], "source": [ "def PM_run_2cst(data, Psi_3_val, Psi_4_val, gs_val = 1/70, 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", " T1_val: vector of the same size as the vectors in data, full of the value T1\n", " T3_val: vector of the same size as the vectors in data, full of the value T3\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " \n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", " Ga_T = 2/Ra_T # multiply by 2 to account for the 2 sided exchange of latent heat flux\n", "\n", " # surface resistance:\n", " Gs_C = gs_val*np.ones((Ta_val.size,)) # -> for constant resistance model -> Rs is constant and Ea = S(theta)*E_PM\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PM_cst = fPAR_val*FF_vec*PM_func(Fg_val,Fn_val,D_T,VPD_val,Ga_T, Gs_C) # R_s constant but stress factor in front of the PM evaluation\n", " \n", " Dic_var = {\"ga\":Ga_T, \"gs\":Gs_C, \"D_T\":D_T}\n", " \n", " return(PM_cst)" ] }, { "cell_type": "markdown", "id": "incorrect-world", "metadata": {}, "source": [ "### Priestley and Taylor model" ] }, { "cell_type": "code", "execution_count": 32, "id": "forced-designer", "metadata": {}, "outputs": [], "source": [ "def PT_run(data,Psi_3_val, Psi_4_val, alpha_val = 1.26, 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", " Rs_val: value of the SR\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " #Fe_val = data[\"Fe\"].to_numpy()\n", " #Ws_val = data[\"Ws\"].to_numpy()\n", " #Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " \n", " # surface resistance:\n", " Alpha_vec = alpha_val*np.ones((Ta_val.size,))\n", "\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PT_mod = fPAR_val*FF_vec*PT_func(D_T,Fn_val,Fg_val,Alpha_vec)\n", " \n", " Dic_var = {\"D_T\":D_T}\n", " \n", " return(PT_mod)" ] }, { "cell_type": "code", "execution_count": 33, "id": "understood-worship", "metadata": {}, "outputs": [], "source": [ "def PT_run_potential(data,Psi_3_val, Psi_4_val, alpha_val = 1.26, 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", " Rs_val: value of the SR\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " #Fe_val = data[\"Fe\"].to_numpy()\n", " #Ws_val = data[\"Ws\"].to_numpy()\n", " #Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", "\n", " # Stress factor:\n", " FF_vec = stress_factor_func(Sws_val,Psi_3_val,Psi_4_val)\n", " \n", " # surface resistance:\n", " Alpha_vec = alpha_val*np.ones((Ta_val.size,))\n", "\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " PT_mod = PT_func(D_T,Fn_val,Fg_val,Alpha_vec)\n", " \n", " Dic_var = {\"D_T\":D_T}\n", " \n", " return(PT_mod)" ] }, { "cell_type": "markdown", "id": "featured-landing", "metadata": {}, "source": [ "### Inverse modelling\n", "Compute the original $g_s$ time serie out of the data" ] }, { "cell_type": "code", "execution_count": 34, "id": "included-nurse", "metadata": {}, "outputs": [], "source": [ "def inv_PM_run(data, compute_VPD = False):\n", " \"\"\"inverse modelling of the PM equation to derive time varying surface resistance\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", " Rs_val: value of the SR\n", " -----------------------------------\n", " \"\"\"\n", " \n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " \n", " if compute_VPD:\n", " T_min_val = data[\"Ta_min\"]\n", " T_max_val = data[\"Ta_max\"]\n", " \n", " RH_min_val = data[\"RH_min\"]\n", " RH_max_val = data[\"RH_max\"]\n", " \n", " VPD_val = eSat_func(T_min_val,T_max_val) - ea_func(T_min_val,T_max_val,RH_min_val,RH_max_val)\n", " \n", " # --------------------------\n", " # derive the two Penman models\n", " # --------------------------\n", " \n", " # aerodynamic resistance:\n", " VH_T = VH_func(Ws_val,Ustar_val)\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, Ws_val)\n", "\n", " # thermodynamic parameters\n", " D_T = delta_func(Ta_val)\n", "\n", " # compile the Ea values :\n", " Gs_val = 1/Inv_PM_func(Fe_val,Fg_val,Fn_val,D_T,VPD_val,Ra_T) # R_s constant but stress factor in front of the PM evaluation\n", " \n", " \n", " return(Gs_val)" ] }, { "cell_type": "markdown", "id": "fitting-tract", "metadata": {}, "source": [ "## Calibration algorithm" ] }, { "cell_type": "code", "execution_count": 35, "id": "swedish-fellow", "metadata": {}, "outputs": [], "source": [ "def Likelihood(Obs,Sim,ErrorObs):\n", " \"\"\"Objective function based on the optimal likelihood objective function\n", " take numpy arrays as input and don't check for missing data\n", " \"\"\"\n", " # removing tuples that are nan values in at least one of the two time series\n", " mask = np.isnan(Obs)+np.isnan(Sim)+np.isnan(ErrorObs)\n", " Sim = Sim[np.where(~mask)]\n", " Obs = Obs[np.where(~mask)]\n", " ErrorObs = ErrorObs[np.where(~mask)]\n", " \n", " chi2 = np.sum(((Obs-Sim)**2)/(ErrorObs**2))\n", " \n", " return(chi2)" ] }, { "cell_type": "code", "execution_count": 36, "id": "compatible-target", "metadata": { "jupyter": { "source_hidden": true } }, "outputs": [], "source": [ "def MC_run(data, GsLow = 1/500, GsHig = 1, RunNb = 10000):\n", " \n", " \"\"\"prepare the MC run \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", " RsLow and RsHigh: lower and upper range for the surface resistance range of value\n", " RunNb: number of runs for the Monte Carlo algorithm\n", " VPD_comput: boolean flag indicating if the computations should be carried out with the PM_VPD model, False by default\n", " -----------------------------------\n", " \"\"\"\n", "\n", " # unpack the variables\n", " Ta_val = data[\"Ta\"].to_numpy()\n", " Fn_val = data[\"Fn\"].to_numpy()\n", " Fg_val = data[\"Fg\"].to_numpy()\n", " Sws_val = data[\"Sws\"].to_numpy()\n", " Fe_val = data[\"Fe\"].to_numpy()\n", " Ws_val = data[\"Ws\"].to_numpy()\n", " Ustar_val = data[\"ustar\"].to_numpy()\n", " VPD_val = data[\"VPD\"].to_numpy()\n", " fPAR_val = data[\"fPAR\"].to_numpy()\n", " errorObs = data[\"error\"].to_numpy()\n", "\n", " L = data[\"Fe\"].size # assumption -> all input array have the same length : not checked\n", "\n", " # MC run :\n", " M = RunNb # number of calibration tuples\n", "\n", " # initialize the storage matrix\n", " Coeff_mat = np.zeros((M,4)) # Rs, T3, T4, alpha\n", " Perf_mat_var = np.zeros((M,)) # 1 column for the new objective function\n", " Perf_mat_cst = np.zeros((M,))\n", " Perf_mat_2var = np.zeros((M,)) # 1 column for the new objective function\n", " Perf_mat_2cst = np.zeros((M,))\n", " Perf_mat_PM = np.zeros((M,))\n", " Perf_mat_PT = np.zeros((M,))\n", "\n", " # defining the calibration parameters ranges : \n", " theta_4_low = 0\n", " theta_4_upp = 1\n", " theta_3_low = 0\n", " theta_3_upp = 1\n", " alpha_low = 1.0\n", " alpha_upp = 1.5\n", " \n", " # main loop \n", " for i in range(M):\n", " \n", " if i%5000 == 0:\n", " print(i)\n", " \n", " # sample the parameters \n", " gs_sampled = GsLow + random()*(GsHig-GsLow)\n", " alpha_sampled = alpha_low + random()*(alpha_upp - alpha_low)\n", " theta_4_sampled = theta_4_low + random()*(theta_4_upp-theta_4_low)\n", " theta_3_sampled = theta_3_low + random()*(theta_3_upp-theta_3_low)\n", "\n", " \n", " # switch both variables if T4 > T3\n", " if theta_4_sampled > theta_3_sampled:\n", " theta_4_sampled,theta_3_sampled = theta_3_sampled, theta_4_sampled\n", " \n", " #Rslp = np.full((L,),Alpha_l)\n", " Theta4 = np.full((L,),theta_4_sampled)\n", " Theta3 = np.full((L,),theta_3_sampled)\n", " \n", " # derive the two PM models\n", " \n", "\n", " PM_var,_ = PM_run_var(data, theta_3_sampled, theta_4_sampled, gs_sampled)\n", " PM_cst,_ = PM_run_cst(data, theta_3_sampled, theta_4_sampled, gs_sampled)\n", " PM_2var,_ = PM_run_2var(data, theta_3_sampled, theta_4_sampled, gs_sampled)\n", " PM_2cst,_ = PM_run_2cst(data, theta_3_sampled, theta_4_sampled, gs_sampled)\n", " PM_cla,_ = PM_run_classic(data, gs_sampled)\n", " PT_cst,_ = PT_run(data, theta_3_sampled, theta_4_sampled, alpha_sampled)\n", "\n", " # compute the objective function\n", " Chi2Var = Likelihood(Fe_val, PM_var, errorObs)\n", " Chi2Cst = Likelihood(Fe_val, PM_cst, errorObs)\n", " Chi2Var2 = Likelihood(Fe_val, PM_2var, errorObs)\n", " Chi2Cst2 = Likelihood(Fe_val, PM_2cst, errorObs)\n", " Chi2PM = Likelihood(Fe_val, PM_cla, errorObs)\n", " Chi2PT = Likelihood(Fe_val, PT_cst, errorObs)\n", " \n", "\n", " # store the coefficient sets\n", " Coeff_mat[i,0] = gs_sampled\n", " Coeff_mat[i,1] = theta_3_sampled\n", " Coeff_mat[i,2] = theta_4_sampled\n", " Coeff_mat[i,3] = alpha_sampled\n", "\n", " \n", " # store the performance indicators\n", " Perf_mat_var[i] = Chi2Var\n", " Perf_mat_cst[i] = Chi2Cst\n", " Perf_mat_2var[i] = Chi2Var2\n", " Perf_mat_2cst[i] = Chi2Cst2\n", " Perf_mat_PM[i] = Chi2PM\n", " Perf_mat_PT[i] = Chi2PT\n", " \n", " \n", " CoeffMat = pd.DataFrame(Coeff_mat)\n", " CoeffMat = CoeffMat.rename(columns={0:'Gs',1:\"Theta3\",2:\"Theta4\",3:\"Alpha\"})\n", " \n", " PerfVar = pd.DataFrame(Perf_mat_var)\n", " PerfVar = PerfVar.rename(columns={0:'ObjVar'})\n", " PerfCst = pd.DataFrame(Perf_mat_cst)\n", " PerfCst = PerfCst.rename(columns={0:'ObjCst'})\n", " \n", " Perf2Var = pd.DataFrame(Perf_mat_2var)\n", " Perf2Var = Perf2Var.rename(columns={0:'Obj2Var'})\n", " Perf2Cst = pd.DataFrame(Perf_mat_2cst)\n", " Perf2Cst = Perf2Cst.rename(columns={0:'Obj2Cst'})\n", " \n", " PerfPM = pd.DataFrame(Perf_mat_PM)\n", " PerfPM = PerfPM.rename(columns={0:'ObjPM'})\n", " PerfPT = pd.DataFrame(Perf_mat_PT)\n", " PerfPT = PerfPT.rename(columns={0:'ObjPT'})\n", " \n", " ResMat = pd.concat([CoeffMat, PerfVar,Perf2Var,Perf2Cst, PerfCst, PerfPM, PerfPT], axis = 1)\n", "\n", " \n", " return(ResMat)" ] }, { "cell_type": "markdown", "id": "private-eagle", "metadata": {}, "source": [ "Use the global optimizer from the `scipy.optimize` package. Minimize the squared residual :\n", "\\begin{equation}\n", "\\Theta_{opt} = \\underset{\\theta_3, \\theta_4, g_s}{min} \\left( E_p(\\textbf{X}, \\theta_3, \\theta_4, g_s) - E_{obs})^2\\right)\n", "\\end{equation}" ] }, { "cell_type": "code", "execution_count": 37, "id": "regulated-interaction", "metadata": {}, "outputs": [], "source": [ "def calibration(Data,model_run, bounds = [(0.1,1),(0.001,0.1)], compute_VPD = False):\n", " \n", " if compute_VPD:\n", " def residual(Coeff):\n", " return((model_run(Data, Coeff[0], Coeff[1], compute_VPD = True)-Data[\"Fe\"])**2).sum()\n", " else:\n", " def residual(Coeff):\n", " return((model_run(Data, Coeff[0], Coeff[1])-Data[\"Fe\"])**2).sum()\n", " \n", " coeff_opti = optimize.shgo(residual, bounds).x\n", " return(coeff_opti)" ] }, { "cell_type": "markdown", "id": "valued-vision", "metadata": {}, "source": [ "# Part III - Experiments" ] }, { "cell_type": "markdown", "id": "intelligent-luther", "metadata": {}, "source": [ "## One site, one year\n", "Data from Howard Springs for the sole year 2016" ] }, { "cell_type": "code", "execution_count": 38, "id": "organizational-chrome", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset>\n",
       "Dimensions:                (latitude: 1, longitude: 1, time: 315551)\n",
       "Coordinates:\n",
       "  * time                   (time) datetime64[ns] 2002-01-01T00:30:00 ... 2019...\n",
       "  * latitude               (latitude) float64 -12.5\n",
       "  * longitude              (longitude) float64 131.2\n",
       "Data variables: (12/143)\n",
       "    Ah                     (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    Ah_QCFlag              (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    Ah_HMP_23m             (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    Ah_HMP_23m_QCFlag      (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    Ah_HMP_2m              (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    Ah_HMP_2m_QCFlag       (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    ...                     ...\n",
       "    Ws_SONIC_Av_QCFlag     (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    ps                     (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    ps_QCFlag              (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    ustar                  (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    ustar_QCFlag           (time, latitude, longitude) float64 dask.array<chunksize=(315551, 1, 1), meta=np.ndarray>\n",
       "    crs                    float64 -2.147e+09\n",
       "Attributes: (12/50)\n",
       "    BulkDensity:              1500\n",
       "    FgDepth:                  0.08\n",
       "    OrganicContent:           0.01\n",
       "    PythonVersion:            2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, ...\n",
       "    QC_version:               PyFluxPro V1.0.1\n",
       "    SwsDefault:               0.10\n",
       "    ...                       ...\n",
       "    title:                    Flux tower data set from the Howard Springs sit...\n",
       "    tower_height:             23m\n",
       "    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
" ], "text/plain": [ "\n", "Dimensions: (latitude: 1, longitude: 1, time: 315551)\n", "Coordinates:\n", " * time (time) datetime64[ns] 2002-01-01T00:30:00 ... 2019...\n", " * latitude (latitude) float64 -12.5\n", " * longitude (longitude) float64 131.2\n", "Data variables: (12/143)\n", " Ah (time, latitude, longitude) float64 dask.array\n", " Ah_QCFlag (time, latitude, longitude) float64 dask.array\n", " Ah_HMP_23m (time, latitude, longitude) float64 dask.array\n", " Ah_HMP_23m_QCFlag (time, latitude, longitude) float64 dask.array\n", " Ah_HMP_2m (time, latitude, longitude) float64 dask.array\n", " Ah_HMP_2m_QCFlag (time, latitude, longitude) float64 dask.array\n", " ... ...\n", " Ws_SONIC_Av_QCFlag (time, latitude, longitude) float64 dask.array\n", " ps (time, latitude, longitude) float64 dask.array\n", " ps_QCFlag (time, latitude, longitude) float64 dask.array\n", " ustar (time, latitude, longitude) float64 dask.array\n", " ustar_QCFlag (time, latitude, longitude) float64 dask.array\n", " crs float64 -2.147e+09\n", "Attributes: (12/50)\n", " BulkDensity: 1500\n", " FgDepth: 0.08\n", " OrganicContent: 0.01\n", " PythonVersion: 2.7.16 |Anaconda, Inc.| (default, Mar 14 2019, ...\n", " QC_version: PyFluxPro V1.0.1\n", " SwsDefault: 0.10\n", " ... ...\n", " title: Flux tower data set from the Howard Springs sit...\n", " tower_height: 23m\n", " 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" ] }, "execution_count": 38, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# select one site (Howard Springs)\n", "ds = xr.open_mfdataset(eddy_files[3])\n", "ds_orig = ds.copy()\n", "# Filtering out data gaps marked as -9999\n", "ds = ds_orig.where(ds_orig != -9999.) \n", "ds_all = ds.copy()\n", "ds" ] }, { "cell_type": "code", "execution_count": 39, "id": "aboriginal-analyst", "metadata": {}, "outputs": [], "source": [ "# select the data for the year 2016\n", "Data = DataChose(ds,\"2016\",fPAR_data_process(fPAR_files[3],dates_fPAR))" ] }, { "cell_type": "markdown", "id": "political-thriller", "metadata": {}, "source": [ "### Calibrate all the models using the optimized function defined above" ] }, { "cell_type": "code", "execution_count": 40, "id": "charming-newark", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0.18529388 0.03052073] [0.136565 0.01193179] [0.1994666 0.03341684] [0.17160987 0.02207327] [0.07 0.0375]\n" ] } ], "source": [ "Res_PM_var = calibration(Data,PM_run_var, bounds = [(0.1,1),(0,0.1)])\n", "Res_PM_cst = calibration(Data,PM_run_cst, bounds = [(0.1,1),(0,0.1)])\n", "Res_PM_var_mod = calibration(Data,PM_run_2var, bounds = [(0.1,1),(0,0.1)])\n", "Res_PM_cst_mod = calibration(Data,PM_run_2cst, bounds = [(0.1,1),(0,0.1)])\n", "Res_PT = calibration(Data,PT_run, bounds = [(0.010,0.13),(0,0.075)])\n", "print(Res_PM_var,Res_PM_cst, Res_PM_var_mod, Res_PM_cst_mod, Res_PT)" ] }, { "cell_type": "markdown", "id": "reliable-likelihood", "metadata": {}, "source": [ "### Compute the model results with the optimimum parameters" ] }, { "cell_type": "code", "execution_count": 41, "id": "instant-malta", "metadata": {}, "outputs": [], "source": [ "TimeSerie_var = PM_run_var(Data, Res_PM_var[0], Res_PM_var[1])\n", "TimeSerie_cst = PM_run_cst(Data, Res_PM_cst[0], Res_PM_cst[1])\n", "TimeSerie_var_mod = PM_run_2var(Data, Res_PM_var_mod[0], Res_PM_var_mod[1])\n", "TimeSerie_cst_mod = PM_run_2cst(Data, Res_PM_cst_mod[0], Res_PM_cst_mod[1])\n", "TimeSerie_PT = PT_run(Data, Res_PT[0], Res_PT[1])\n", "TimeSerie_PM_fPAR = PM_run_classic_fPAR(Data)\n", "TimeSerie_PM_bench = PM_run_classic(Data)\n", "TimeSerie_PT_bench = PT_run_potential(Data, Res_PT[0], Res_PT[1])" ] }, { "cell_type": "markdown", "id": "pacific-district", "metadata": {}, "source": [ "### Aggregate the results in a single matrix" ] }, { "cell_type": "code", "execution_count": 42, "id": "suited-numbers", "metadata": {}, "outputs": [], "source": [ "DummyVar = pd.DataFrame(TimeSerie_var, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Varying_gS\"})\n", "TimeSerie_mat = pd.concat([Data.Fe,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_cst, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Constant_gS\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_var_mod, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Mod_var_gS\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_cst_mod, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Mod_cst_gS\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_PT, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"PT_model\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_PM_fPAR, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"fPAR_PM\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_PM_bench, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Bench_PM\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "DummyVar = pd.DataFrame(TimeSerie_PT_bench, index = Data.index)\n", "DummyVar = DummyVar.rename(columns = {0:\"Bench_PT\"})\n", "TimeSerie_mat = pd.concat([TimeSerie_mat,DummyVar], axis = 1)\n", "\n", "# convert into mm/day\n", "TimeSerie_mat = TimeSerie_mat*60*60*24" ] }, { "cell_type": "markdown", "id": "static-feature", "metadata": {}, "source": [ "### Plot the time serie" ] }, { "cell_type": "code", "execution_count": 43, "id": "divine-rebate", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ ":38: 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", ":39: 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", ":40: 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": { "text/plain": [ "" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "date_beg, date_end = \"2016-04-10\",\"2016-09-15\"\n", "\n", "Columns_name = [\"Varying_gS\",\"Constant_gS\",\"Mod_var_gS\",\"Mod_cst_gS\",\"fPAR_PM\",\"PT_model\",\"Bench_PM\",\"Bench_PT\",\"Fe\"]\n", "Labels_name = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\", r\"Modified varying $g_s$ model\",\n", " r\"Modified constant $g_s$ model\",r\"$f_{PAR}$ model\" ,r\"PT model\", \"Benchmark PM\",\"Benchmark PT\", \"observed data\"]\n", "Colors_list = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\", \"blue\" ,\"cyan\",\"yellow\",\"grey\"]\n", "\n", "fig, axe = plt.subplots(figsize = (15,8))\n", "\n", "for name_col, labels, colors in zip(Columns_name, Labels_name, Colors_list):\n", " \n", " N = TimeSerie_mat[name_col].size\n", " mov_average = np.zeros((N,))\n", " for i in range(N):\n", " size_window_left, size_window_right = min(i,3),min(N - i-1, 3)\n", " #print(size_window_left, size_window_right)\n", " sub_set = TimeSerie_mat[name_col][i-size_window_left : i+size_window_right].to_numpy()\n", " mean_set = np.mean(sub_set)\n", " mov_average[i] = mean_set\n", " \n", " mov_average = pd.DataFrame(mov_average, index = TimeSerie_mat.index)\n", " mov_average = mov_average.rename(columns = {0:name_col})\n", " if name_col == \"Fe\":\n", " mov_average[name_col].plot(label = labels, color = colors, ls = \":\",lw = 3)\n", " else :\n", " mov_average[name_col].plot(label = labels, color = colors)\n", " \n", "axe.legend()\n", "\n", "axe.set_ylim([-2,12.5])\n", "\n", "# Make the shaded region\n", "plt.fill_between([date_beg, date_end], 15,-5, color='yellow', alpha=.05)\n", "plt.fill_between([\"2016-01-01\", date_beg], 15, -5, color = 'cyan', alpha = 0.05)\n", "plt.fill_between([date_end, \"2016-12-31\"], 15, -5, color = 'cyan', alpha = 0.05)\n", "\n", "# indicate the seasons by arrows \n", "plt.annotate(s='', xy=(date_beg,0), xytext=(date_end,0), arrowprops=dict(arrowstyle='<->'))\n", "plt.annotate(s='', xy=(\"2016-01-01\",0), xytext=(date_beg,0), arrowprops=dict(arrowstyle='<->'))\n", "plt.annotate(s='', xy=(date_end,0), xytext=(\"2016-12-31\",0), arrowprops=dict(arrowstyle='<->'))\n", "\n", "axe.text(\"2016-06-15\", -1, \"dry season\", fontsize=15)\n", "axe.text(\"2016-02-01\", -1, \"wet season\", fontsize=15)\n", "axe.text(\"2016-11-01\", -1, \"wet season\", fontsize=15)\n", "\n", "axe.set_ylabel(r\"Evaporation [$mm.day^{-1}$]\", size = 18)\n", "axe.set_xlabel(\"Time\", size = 18)\n", "\n", "axe.legend(loc = 1, prop={'size': 13}, ncol = 4)\n", "\n", "# plt.savefig(timeSerie_oneSite_oneYear, dpi = 150)" ] }, { "cell_type": "markdown", "id": "compliant-community", "metadata": {}, "source": [ "### Compute the model performance \n", "**For the whole time serie, RMSE and NS for both models**" ] }, { "cell_type": "code", "execution_count": 44, "id": "responsible-burns", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Varying_gSConstant_gSMod_var_gSMod_cst_gSfPAR_PMPT_modelBench_PMBench_PT
RMSE0.8674090.9245320.9315541.0387471.7893430.8995933.8493811.845079
NS0.7098740.6704030.6653780.583937-0.2345990.687945-4.713745-0.312710
RVE0.024020-0.0021390.0133610.024325-0.2704820.021555-0.801912-0.364515
MAE0.6149180.6924770.6769970.7999591.4065830.6193853.1997271.600261
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" ], "text/plain": [ " Varying_gS Constant_gS Mod_var_gS Mod_cst_gS fPAR_PM PT_model \\\n", "RMSE 0.867409 0.924532 0.931554 1.038747 1.789343 0.899593 \n", "NS 0.709874 0.670403 0.665378 0.583937 -0.234599 0.687945 \n", "RVE 0.024020 -0.002139 0.013361 0.024325 -0.270482 0.021555 \n", "MAE 0.614918 0.692477 0.676997 0.799959 1.406583 0.619385 \n", "\n", " Bench_PM Bench_PT \n", "RMSE 3.849381 1.845079 \n", "NS -4.713745 -0.312710 \n", "RVE -0.801912 -0.364515 \n", "MAE 3.199727 1.600261 " ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from collections import defaultdict\n", "\n", "Metric_list = [RMSE,NS,RVE,MAE]\n", "Metric_name = [\"RMSE\",\"NS\",\"RVE\",\"MAE\"]\n", "dic_metric = defaultdict(list)\n", "\n", "for metric in Metric_list:\n", " \n", " for name_col, labels in zip(Columns_name, Labels_name):\n", " \n", " if name_col == \"Fe\":\n", " pass\n", " else:\n", " metric_res = metric(TimeSerie_mat.Fe.to_numpy(), TimeSerie_mat[name_col].to_numpy())\n", " dic_metric[name_col].append(metric_res)\n", " \n", "dic_metric = pd.DataFrame(dic_metric, index = Metric_name)\n", "dic_metric.to_latex(tex_file_whole)\n", "dic_metric" ] }, { "cell_type": "markdown", "id": "cosmetic-beaver", "metadata": {}, "source": [ "**Dry season period, RMSE and NS for both models**" ] }, { "cell_type": "code", "execution_count": 45, "id": "clean-chest", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Varying_gSConstant_gSMod_var_gSMod_cst_gSfPAR_PMPT_modelBench_PMBench_PT
RMSE0.6132820.7288980.6261790.7509892.3677120.6359915.0800722.001012
NS0.7467470.6422590.7359830.620246-2.7747870.727644-16.376981-1.696088
RVE-0.045086-0.039894-0.0044170.069212-0.735152-0.058347-1.652722-0.613086
MAE0.4826130.5733070.4786690.5981982.0842160.4963284.5705401.702450
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" ], "text/plain": [ " Varying_gS Constant_gS Mod_var_gS Mod_cst_gS fPAR_PM PT_model \\\n", "RMSE 0.613282 0.728898 0.626179 0.750989 2.367712 0.635991 \n", "NS 0.746747 0.642259 0.735983 0.620246 -2.774787 0.727644 \n", "RVE -0.045086 -0.039894 -0.004417 0.069212 -0.735152 -0.058347 \n", "MAE 0.482613 0.573307 0.478669 0.598198 2.084216 0.496328 \n", "\n", " Bench_PM Bench_PT \n", "RMSE 5.080072 2.001012 \n", "NS -16.376981 -1.696088 \n", "RVE -1.652722 -0.613086 \n", "MAE 4.570540 1.702450 " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# dry season :\n", "dic_metric = defaultdict(list)\n", "for metric in Metric_list:\n", " \n", " for name_col, labels in zip(Columns_name, Labels_name):\n", " \n", " if name_col == \"Fe\":\n", " pass\n", " else:\n", " metric_res = metric(TimeSerie_mat.Fe[date_beg:date_end].to_numpy(), TimeSerie_mat[name_col][date_beg:date_end].to_numpy())\n", " dic_metric[name_col].append(metric_res)\n", " \n", "dic_metric = pd.DataFrame(dic_metric, index = Metric_name)\n", "dic_metric.to_latex(tex_file_dry)\n", "dic_metric" ] }, { "cell_type": "markdown", "id": "subtle-huntington", "metadata": {}, "source": [ "**Wet season period, RMSE and NS for both models**" ] }, { "cell_type": "code", "execution_count": 46, "id": "destroyed-series", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "text/html": [ "
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Varying_gSConstant_gSMod_var_gSMod_cst_gSfPAR_PMPT_modelBench_PMBench_PT
RMSE0.7700180.8019930.8080840.9182941.9367020.8311194.1169621.797729
NS0.8008610.7839790.7806860.716784-0.2597350.768005-4.692554-0.085430
RVE0.009411-0.0097840.0072800.022225-0.3447050.003059-0.896827-0.373457
MAE0.5638430.6286170.5975550.7207721.5537410.5858993.3893691.541070
\n", "
" ], "text/plain": [ " Varying_gS Constant_gS Mod_var_gS Mod_cst_gS fPAR_PM PT_model \\\n", "RMSE 0.770018 0.801993 0.808084 0.918294 1.936702 0.831119 \n", "NS 0.800861 0.783979 0.780686 0.716784 -0.259735 0.768005 \n", "RVE 0.009411 -0.009784 0.007280 0.022225 -0.344705 0.003059 \n", "MAE 0.563843 0.628617 0.597555 0.720772 1.553741 0.585899 \n", "\n", " Bench_PM Bench_PT \n", "RMSE 4.116962 1.797729 \n", "NS -4.692554 -0.085430 \n", "RVE -0.896827 -0.373457 \n", "MAE 3.389369 1.541070 " ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# wet season :\n", "\n", "dic_metric = defaultdict(list)\n", "for metric in Metric_list:\n", " \n", " for name_col, labels in zip(Columns_name, Labels_name):\n", " \n", " if name_col == \"Fe\":\n", " pass\n", " else:\n", " metric_res = metric(TimeSerie_mat.Fe[:date_beg and date_end:].to_numpy(), TimeSerie_mat[name_col][:date_beg and date_end:].to_numpy())\n", " dic_metric[name_col].append(metric_res)\n", " \n", "dic_metric = pd.DataFrame(dic_metric, index = Metric_name)\n", "dic_metric.to_latex(tex_file_wet)\n", "dic_metric" ] }, { "cell_type": "markdown", "id": "brave-volume", "metadata": {}, "source": [ "### Inverse modelling\n", "By doing inverse modeling, we want to investigate the behavior of the varying surface conductance with the \"theoretical one\"" ] }, { "cell_type": "code", "execution_count": 45, "id": "immediate-bundle", "metadata": {}, "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", "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" ] }, { "cell_type": "code", "execution_count": 46, "id": "excess-trick", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# plot the time series : \n", "fig, axe = plt.subplots(figsize = (15,8))\n", "axe.scatter(Data.index, Var_gs, label = r\"Varying $g_s$\")\n", "axe.scatter(Data.index, Mod_var_gs, label = r\"Modified varying $g_s$\")\n", "axe.scatter(Data.index, Theoretical_gs, label = r\"Theoretical $g_s$\")\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 = 1, prop={'size': 13})\n", "\n", "plt.savefig(inverseModelling, dpi = 150)" ] }, { "cell_type": "markdown", "id": "relevant-stone", "metadata": {}, "source": [ "### Influence of the atmospheric forcing over the model behavior\n", "\n", "Investigate the influence of some changes in atmospheric forcing over the behavior of the models. Methodology:\n", "1. Select one atmospheric forcing (Air temperature (Ta), Net radiation (Fn), wind speed (Ws) or shear stress (ustar))\n", "2. Modify the dataset to include the changes of the atmospheric forcing\n", "3. Compute the model results \n", "4. Compute the mean\n", "5. Plot the results\n", "\n", "`Data` still contains the 2016 data for Howard Spring\n", "\n", "`Res_PM_var` and `Res_PM_cst` still contain the calibrated coefficient of the models" ] }, { "cell_type": "markdown", "id": "affected-scanner", "metadata": {}, "source": [ "**For the dry season**" ] }, { "cell_type": "code", "execution_count": 47, "id": "distributed-vertex", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "VarInterest = [\"Ta\", \"Fn\",\"Ws\",\"ustar\"]\n", "Model_func = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run]\n", "Model_index = [\"Var\",\"Cst\", \"\",\"\",\"\"]\n", "Model_plot_label = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\", r\"Modified varying $g_s$ model\", r\"Modified constant $g_s$ model\", r\"PT model\"]\n", "Marker_style = [\"o\",\"s\", \">\", \"<\", \"d\"]\n", "colors = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\"]\n", "Model_Best_para = [Res_PM_var , Res_PM_cst, Res_PM_var_mod, Res_PM_cst_mod, Res_PT]\n", "rangeDeviation = [1,10,0.2,0.1]\n", "Units = [\"[°C]\", r\"[$W.m^{-2}$]\", r\"[$m.s^{-1}$]\", r\"[$m.s^{-1}$]\"]\n", "\n", "fig, axe = plt.subplots(2,2, figsize = (20,12))\n", "\n", "for ax, AtmoVar, unit, DevCondition in zip(axe.flatten(),VarInterest, Units, rangeDeviation):\n", " \n", " deviation = np.arange(-5*DevCondition,6*DevCondition,DevCondition)\n", " \n", " for func_model, label_graph, indexModel, best_set, marker_style, col in zip( Model_func, Model_plot_label, Model_index, Model_Best_para, Marker_style, colors):\n", " \n", " Mean_list = []\n", " Max_list = []\n", " Med_list = []\n", " \n", " if AtmoVar == \"Ta\":\n", " coeff_calib = calibration(Data, func_model, compute_VPD = True)\n", " \n", " for dev in deviation:\n", " # data modification\n", " Data_exp = Data.copy()\n", " Data_exp[AtmoVar] = Data[AtmoVar]+dev\n", " Data_exp[Data_exp[AtmoVar] < 0] = 0 #avoid negative values \n", " Data_exp = Data_exp[date_beg:date_end] # select the dry season\n", " \n", " # model computation\n", " if (AtmoVar == \"Ws\" and func_model == PT_run) or (AtmoVar == \"ustar\" and func_model == PT_run):\n", " pass\n", " \n", " if AtmoVar == \"Ta\":\n", " ModelRes = func_model(Data_exp, coeff_calib[0], coeff_calib[1], compute_VPD = True)*60*60*24\n", " else:\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1])*60*60*24\n", " \n", " MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n", " #MaxRes = ModelRes[~np.isnan(ModelRes)].max()\n", " MedRes = np.median(ModelRes[~np.isnan(ModelRes)])\n", " \n", " # compute the mean of the results\n", " Mean_list.append(MeanRes)\n", " #Max_list.append(MaxRes)\n", " Med_list.append(MedRes)\n", " if (AtmoVar == \"Ws\" and func_model == PT_run) or (AtmoVar == \"ustar\" and func_model == PT_run):\n", " pass\n", " \n", " else:\n", " \n", " ax.plot(deviation, Mean_list, marker = marker_style, label = label_graph+\" mean\", color = col)\n", " #ax.plot(deviation, Max_list, marker = marker_style, label = label_graph+\" max\", ls = \":\")\n", " #ax.plot(deviation, Med_list, marker = marker_style, label = label_graph+ \" median\", ls = \"--\", color = col)\n", " ax.set_xlabel(\"d\"+AtmoVar+\" \"+unit, size = 16)\n", " ax.set_ylabel(r\"$\\overline{E_a}$ $[mm.day^{-1}]$\", size = 14)\n", " ax.legend(loc = 1,prop={'size': 10})\n", " \n", "plt.savefig(Influence_atmo_E_dry, dpi = 150)" ] }, { "cell_type": "markdown", "id": "increasing-yugoslavia", "metadata": {}, "source": [ "**For the wet season**" ] }, { "cell_type": "code", "execution_count": 48, "id": "proved-match", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "VarInterest = [\"Ta\", \"Fn\",\"Ws\",\"ustar\"]\n", "Model_func = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run]\n", "Model_index = [\"Var\",\"Cst\", \"\",\"\",\"\"]\n", "Model_plot_label = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\", r\"Modified varying $g_s$ model\", r\"Modified constant $g_s$ model\", r\"PT model\"]\n", "Marker_style = [\"o\",\"s\", \">\", \"<\", \"d\"]\n", "colors = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\"]\n", "Model_Best_para = [Res_PM_var , Res_PM_cst, Res_PM_var_mod, Res_PM_cst_mod, Res_PT]\n", "rangeDeviation = [1,10,0.2,0.1]\n", "Units = [\"[°C]\", r\"[$W.m^{-2}$]\", r\"[$m.s^{-1}$]\", r\"[$m.s^{-1}$]\"]\n", "\n", "fig, axe = plt.subplots(2,2, figsize = (20,12))\n", "\n", "for ax, AtmoVar, unit, DevCondition in zip(axe.flatten(),VarInterest, Units, rangeDeviation):\n", " \n", " deviation = np.arange(-5*DevCondition,6*DevCondition,DevCondition)\n", " \n", " for func_model, label_graph, indexModel, best_set, marker_style, col in zip( Model_func, Model_plot_label, Model_index, Model_Best_para, Marker_style, colors):\n", " \n", " Mean_list = []\n", " Max_list = []\n", " Med_list = []\n", " \n", " if AtmoVar == \"Ta\":\n", " coeff_calib = calibration(Data, func_model, compute_VPD = True)\n", " \n", " for dev in deviation:\n", " # data modification\n", " Data_exp = Data.copy()\n", " Data_exp[AtmoVar] = Data[AtmoVar]+dev\n", " Data_exp[Data_exp[AtmoVar] < 0] = 0 #avoid negative values \n", " Data_exp = Data_exp[:date_beg and date_end:] # select the dry season\n", " \n", " # model computation\n", " if AtmoVar == \"Ta\":\n", " ModelRes = func_model(Data_exp, coeff_calib[0], coeff_calib[1], compute_VPD = True)*60*60*24\n", " else:\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1])*60*60*24\n", " \n", " MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n", " #MaxRes = ModelRes[~np.isnan(ModelRes)].max()\n", " MedRes = np.median(ModelRes[~np.isnan(ModelRes)])\n", " \n", " # compute the mean of the results\n", " Mean_list.append(MeanRes)\n", " #Max_list.append(MaxRes)\n", " Med_list.append(MedRes)\n", " if (AtmoVar == \"Ws\" and func_model == PT_run) or (AtmoVar == \"ustar\" and func_model == PT_run):\n", " pass\n", " else:\n", " ax.plot(deviation, Mean_list, marker = marker_style, label = label_graph+\" mean\", color = col)\n", " #ax.plot(deviation, Max_list, marker = marker_style, label = label_graph+\" max\", ls = \":\")\n", " #ax.plot(deviation, Med_list, marker = marker_style, label = label_graph+ \" median\", ls = \"--\", color = col)\n", " ax.set_xlabel(\"d\"+AtmoVar+\" \"+unit, size = 16)\n", " ax.set_ylabel(r\"$\\overline{E_a}$ $[mm.day^{-1}]$\", size = 14)\n", " ax.legend(loc = 1,prop={'size': 10})\n", "plt.savefig(Influence_atmo_E_wet, dpi = 150)" ] }, { "cell_type": "markdown", "id": "moved-delay", "metadata": {}, "source": [ "#### Graphs with relative changes instead of absolute number" ] }, { "cell_type": "markdown", "id": "focused-chosen", "metadata": {}, "source": [ "**For the dry season**" ] }, { "cell_type": "code", "execution_count": 52, "id": "accredited-geneva", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "VarInterest = [\"Ta\", \"Fn\",\"Ws\",\"ustar\"]\n", "Model_func = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run]\n", "Model_index = [\"Var\",\"Cst\", \"\",\"\",\"\"]\n", "Model_plot_label = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\", r\"Modified varying $g_s$ model\", r\"Modified constant $g_s$ model\", r\"PT model\"]\n", "Marker_style = [\"o\",\"s\", \">\", \"<\", \"d\"]\n", "colors = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\"]\n", "Model_Best_para = [Res_PM_var , Res_PM_cst, Res_PM_var_mod, Res_PM_cst_mod, Res_PT]\n", "rangeDeviation = [1,10,0.2,0.1]\n", "Units = [\"[°C]\", r\"[$W.m^{-2}$]\", r\"[$m.s^{-1}$]\", r\"[$m.s^{-1}$]\"]\n", "\n", "fig, axe = plt.subplots(2,2, figsize = (20,12))\n", "\n", "for ax, AtmoVar, unit, DevCondition in zip(axe.flatten(),VarInterest,Units,rangeDeviation):\n", " \n", " deviation = np.arange(-5*DevCondition,6*DevCondition,DevCondition)\n", " \n", " for func_model, label_graph, indexModel, best_set, marker_style, col in zip( Model_func, Model_plot_label, Model_index, Model_Best_para, Marker_style, colors):\n", " \n", " Mean_list = []\n", " Max_list = []\n", " Med_list = []\n", " \n", " Rel_dev = []\n", " \n", " \n", " \n", " if AtmoVar == \"Ta\":\n", " Benchmark_mean = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1], compute_VPD = True).mean()\n", " Benchmark_med = 60*60*24*np.median(func_model(Data[date_beg:date_end], best_set[0],best_set[1], compute_VPD = True))\n", " coeff_calib = calibration(Data, func_model, compute_VPD = True)\n", " \n", " else:\n", " Benchmark_mean = 60*60*24*func_model(Data[date_beg:date_end], best_set[0],best_set[1]).mean()\n", " Benchmark_med = 60*60*24*np.median(func_model(Data[date_beg:date_end], best_set[0],best_set[1]))\n", " \n", " for dev in deviation:\n", "\n", " # data modification\n", " Data_exp = Data.copy()\n", " Data_exp[AtmoVar] = Data[AtmoVar]+dev\n", " Data_exp[Data_exp[AtmoVar] < 0] = 0 #avoid negative values \n", " Data_exp = Data_exp[date_beg:date_end] # select the dry season\n", " \n", " relDev = (Data_exp[AtmoVar].sum() - Data[date_beg:date_end][AtmoVar].sum())/Data[date_beg:date_end][AtmoVar].sum()\n", " Rel_dev.append(relDev)\n", " \n", " # model computation\n", " \n", " if AtmoVar == \"Ta\":\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1], compute_VPD = True)*60*60*24\n", " else:\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1])*60*60*24\n", " \n", " MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n", " #MaxRes = ModelRes[~np.isnan(ModelRes)].max()\n", " MedRes = np.median(ModelRes[~np.isnan(ModelRes)])\n", " \n", " # compute the mean of the results\n", " Mean_list.append((MeanRes-Benchmark_mean)/Benchmark_mean)\n", " #Max_list.append(MaxRes)\n", " Med_list.append((MedRes-Benchmark_med)/Benchmark_med)\n", " \n", " if (AtmoVar == \"Ws\" and func_model == PT_run) or (AtmoVar == \"ustar\" and func_model == PT_run):\n", " pass\n", " else:\n", " ax.plot(Rel_dev, Mean_list, marker = marker_style, label = label_graph+\" mean\", color = col)\n", " #ax.plot(deviation, Max_list, marker = marker_style, label = label_graph+\" max\", ls = \":\")\n", " #ax.plot(Rel_dev, Med_list, marker = marker_style, label = label_graph+ \" median\", ls = \"--\", color = col)\n", " ax.set_xlabel(\"Relative deviation in \"+AtmoVar+\" [-]\", size = 16)\n", " ax.set_ylabel(r\"Relative deviation in $E_a$ [-]\", size = 14)\n", " ax.legend(loc = 1,prop={'size': 10})\n", "plt.savefig(Influence_atmo_rel_dry, dpi = 150)" ] }, { "cell_type": "markdown", "id": "solved-mongolia", "metadata": {}, "source": [ "**For the wet period**" ] }, { "cell_type": "code", "execution_count": 51, "id": "aerial-austin", "metadata": { "jupyter": { "source_hidden": true } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "VarInterest = [\"Ta\", \"Fn\",\"Ws\",\"ustar\"]\n", "Model_func = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run]\n", "Model_index = [\"Var\",\"Cst\", \"\",\"\",\"\"]\n", "Model_plot_label = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\", r\"Modified varying $g_s$ model\", r\"Modified constant $g_s$ model\", r\"PT model\"]\n", "Marker_style = [\"o\",\"s\", \">\", \"<\", \"d\"]\n", "colors = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\"]\n", "Model_Best_para = [Res_PM_var , Res_PM_cst, Res_PM_var_mod, Res_PM_cst_mod, Res_PT]\n", "rangeDeviation = [1,10,0.2,0.1]\n", "Units = [\"[°C]\", r\"[$W.m^{-2}$]\", r\"[$m.s^{-1}$]\", r\"[$m.s^{-1}$]\"]\n", "\n", "fig, axe = plt.subplots(2,2, figsize = (20,12))\n", "\n", "for ax, AtmoVar, DevCondition in zip(axe.flatten(),VarInterest,rangeDeviation):\n", " \n", " deviation = np.arange(-5*DevCondition,6*DevCondition,DevCondition)\n", " \n", " for func_model, label_graph, indexModel, best_set, marker_style, col in zip( Model_func, Model_plot_label, Model_index, Model_Best_para, Marker_style, colors):\n", " \n", " Mean_list = []\n", " Max_list = []\n", " Med_list = []\n", " \n", " Rel_dev = []\n", " \n", " \n", " \n", " if AtmoVar == \"Ta\":\n", " Benchmark_mean = 60*60*24*func_model(Data[:date_beg and date_end:], best_set[0],best_set[1], compute_VPD = True).mean()\n", " Benchmark_med = 60*60*24*np.median(func_model(Data[:date_beg and date_end:], best_set[0],best_set[1], compute_VPD = True))\n", " coeff_calib = calibration(Data, func_model, compute_VPD = True)\n", " \n", " else:\n", " Benchmark_mean = 60*60*24*func_model(Data[:date_beg and date_end:], best_set[0],best_set[1]).mean()\n", " Benchmark_med = 60*60*24*np.median(func_model(Data[:date_beg and date_end:], best_set[0],best_set[1]))\n", " \n", " for dev in deviation:\n", "\n", " # data modification\n", " Data_exp = Data.copy()\n", " Data_exp[AtmoVar] = Data[AtmoVar]+dev\n", " Data_exp[Data_exp[AtmoVar] < 0] = 0 #avoid negative values \n", " Data_exp = Data_exp[:date_beg and date_end:] # select the dry season\n", " \n", " relDev = (Data_exp[AtmoVar].sum() - Data[:date_beg and date_end:][AtmoVar].sum())/Data[:date_beg and date_end:][AtmoVar].sum()\n", " Rel_dev.append(relDev)\n", " \n", " # model computation\n", " \n", " if AtmoVar == \"Ta\":\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1], compute_VPD = True)*60*60*24\n", " else:\n", " ModelRes = func_model(Data_exp, best_set[0],best_set[1])*60*60*24\n", " \n", " MeanRes = ModelRes[~np.isnan(ModelRes)].mean()\n", " #MaxRes = ModelRes[~np.isnan(ModelRes)].max()\n", " MedRes = np.median(ModelRes[~np.isnan(ModelRes)])\n", " \n", " # compute the mean of the results\n", " Mean_list.append((MeanRes-Benchmark_mean)/Benchmark_mean)\n", " #Max_list.append(MaxRes)\n", " Med_list.append((MedRes-Benchmark_med)/Benchmark_med)\n", " \n", " if (AtmoVar == \"Ws\" and func_model == PT_run) or (AtmoVar == \"ustar\" and func_model == PT_run):\n", " pass\n", " else:\n", " ax.plot(Rel_dev, Mean_list, marker = marker_style, label = label_graph+\" mean\", color = col)\n", " #ax.plot(deviation, Max_list, marker = marker_style, label = label_graph+\" max\", ls = \":\")\n", " #ax.plot(Rel_dev, Med_list, marker = marker_style, label = label_graph+ \" median\", ls = \"--\", color = col)\n", " ax.set_xlabel(\"Relative deviation in \"+AtmoVar+\" [-]\", size = 16)\n", " ax.set_ylabel(r\"Relative deviation in $E_a$ [-]\", size = 14)\n", " ax.legend(loc = 1,prop={'size': 10})\n", "plt.savefig(Influence_atmo_rel_wet, dpi = 150)" ] }, { "cell_type": "markdown", "id": "harmful-count", "metadata": {}, "source": [ "#### Investigate the influence of wind speed on $E_a$\n", "From the previous analysis, it happens that $E_a$ is a decreasing function of wind speed which can seems conter-intuitive. More wind means more advection and higher vapor pressure saturation deficit, so more evapo-transpiration. This section mathematically investigate the relation between wind speed and $E_a$" ] }, { "cell_type": "code", "execution_count": 138, "id": "handy-failing", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true } }, "outputs": [ { "data": { "text/plain": [ "array([231.25247677, 236.55687243, 232.441429 , 231.57815489,\n", " 238.55508125, 240.27447136, 242.73271032, 217.90762955,\n", " 223.98548928, 231.3087916 , 240.27093959, 240.82052837,\n", " 234.03351371, 214.63890456, 235.23706485, 243.14811303,\n", " 247.83309972, 253.3890565 , 249.79152277, 226.37574039,\n", " 204.95846075, 231.01358946, 245.50095476, 228.53722848,\n", " 230.4687907 , 240.41843108, 251.74830886, 243.84675748,\n", " 239.06110196, 227.08537522, 208.67822048, 216.2349691 ,\n", " 219.35742556, 227.02461647, 226.54007137, 217.78250933,\n", " 230.47593828, 225.1219664 , 233.67341223, 228.41599022,\n", " 216.14381274, 234.34386866, 233.89912658, 228.46318038,\n", " 240.66973204, 228.57890759, 237.48966206, 247.47990405,\n", " 228.62064976, 209.82938567, 236.04560412, 252.22427903,\n", " 249.7951044 , 245.11860451, 216.38132256, 222.36006254,\n", " 224.01702252, 219.45281205, 230.67491813, 240.7825006 ,\n", " 240.36355979, 243.71865077, 224.67029558, 227.83199576,\n", " 217.16355617, 213.18693518, 218.78702874, 215.60011233,\n", " 206.17950073, 211.85020643, 202.64315778, 204.12681316,\n", " 209.3750377 , 210.0594664 , 203.86867319, 204.6578325 ,\n", " 206.65043568, 221.73353448, 213.57561722, 210.61580405,\n", " 218.98395193, 221.62140619, 218.79836703, 227.31911316,\n", " 223.15401638, 214.25412946, 213.825159 , 220.41685909,\n", " 219.67098064, 221.23819987, 214.05984204, 198.37252777,\n", " 214.44694707, 223.65360429, 221.19478123, 222.37626544,\n", " 211.72965424, 209.58623008, 213.1758393 , 214.08285406,\n", " 215.44556967, 215.29171802, 217.87926661, 215.12532827,\n", " 205.57511725, 208.40920832, 212.92796872, 209.9712304 ,\n", " 204.05213573, 202.60651568, 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212.57081489, 205.92006512,\n", " 192.05982645, 192.4449697 , 206.26546825, 213.3154424 ,\n", " 207.66459724, 213.66716224, 213.4726635 , 204.04337763,\n", " 216.83178774, 222.89080593, 215.01295489, 215.84147084,\n", " 212.77614718, 216.17875158, 223.20176277, 223.87276966,\n", " 219.7862775 , 215.7740403 , 216.85284422, 205.94196215,\n", " 212.27813843, 194.12062898, 184.42494099, 201.53145004,\n", " 208.58596834, 211.19801575, 210.25708074, 208.71812562,\n", " 217.54717732, 213.50335342, 220.83604294, 222.77527711,\n", " 226.0589256 , 209.17136894, 221.6626062 , 244.31951332,\n", " 224.0921084 , 213.84011387, 201.81267433, 219.28911594,\n", " 225.23947756, 225.88523397, 220.25701791, 216.72956902,\n", " 212.59938594, 216.16975842, 209.98906038, 217.30017035,\n", " 214.15983001, 212.95592982, 214.25898749, 219.85235585,\n", " 216.89126617, 210.07193575, 216.95950761, 175.86825265,\n", " 199.37880832, 214.36687801, 213.31038077, 198.87228493,\n", " 202.67762136, 203.56253119, 216.77470199, 222.59792086,\n", " 218.83750043, 203.39335771, 206.47442628, 216.28184618,\n", " 238.14452254, 233.71124017, 206.41514443, 231.41169362,\n", " 235.97946129, 240.92760676, 228.82377161, 231.42283591,\n", " 227.1823095 , 228.85128467, 205.88730187, 207.70207412,\n", " 222.65127541, 217.40991634, 206.68713976, 211.44693945,\n", " 195.3429124 , 201.65210794, 210.13635098, 184.92668195,\n", " 208.72341532, 204.01114867, 200.43412068, 225.93769524,\n", " 199.28715894, 199.78840049, 241.19614736, 230.39183648,\n", " 229.12503692, 232.60966168, 238.61087905, 241.68068191,\n", " 242.39510319, 233.02555713, 240.63622995, 234.88558819,\n", " 230.59533364, 202.60173767, 206.9076268 , 198.84517632,\n", " 195.37473645, 204.05808447, 212.82959074, 197.60184386,\n", " 191.64078587, 189.21559711, 189.20342175, 183.74444858,\n", " 172.86143636, 198.33323497, 198.64296525, 206.36180088,\n", " 203.43327168, 205.58901644, 203.74435481, 218.71870237,\n", " 207.3136262 , 232.57968009])" ] }, "execution_count": 138, "metadata": {}, "output_type": "execute_result" } ], "source": [ "delta_func(Data.Ta)" ] }, { "cell_type": "code", "execution_count": 48, "id": "experienced-principal", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/latex": [ "$\\displaystyle E = \\frac{\\Delta \\left(- G + R_n\\right) + VPD c_p g_a \\rho_a}{L \\left(\\Delta + \\gamma \\left(\\frac{g_a}{g_s} + 1\\right)\\right)}$" ], "text/plain": [ " Δ⋅(-G + Rn) + VPD⋅cₚ⋅gₐ⋅ρₐ\n", "E = ──────────────────────────\n", " ⎛ ⎛gₐ ⎞⎞ \n", " L⋅⎜Δ + γ⋅⎜── + 1⎟⎟ \n", " ⎝ ⎝gₛ ⎠⎠ " ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "eq_PM_g" ] }, { "cell_type": "code", "execution_count": 64, "id": "right-solomon", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/latex": [ "$\\displaystyle E = \\frac{\\Delta \\left(- G + R_n\\right) + \\frac{VPD c_p \\kappa^{2} \\rho_a w}{\\log{\\left(\\frac{10.0 \\left(- d + z\\right)}{VH} \\right)} \\log{\\left(\\frac{100.0 \\left(- d + z\\right)}{VH} \\right)}}}{L \\left(\\Delta + \\gamma \\left(1 + \\frac{\\kappa^{2} w}{g_s \\log{\\left(\\frac{10.0 \\left(- d + z\\right)}{VH} \\right)} \\log{\\left(\\frac{100.0 \\left(- d + z\\right)}{VH} \\right)}}\\right)\\right)}$" ], "text/plain": [ " 2 \n", " VPD⋅cₚ⋅κ ⋅ρₐ⋅w \n", " Δ⋅(-G + Rn) + ────────────────────────────────────── \n", " ⎛10.0⋅(-d + z)⎞ ⎛100.0⋅(-d + z)⎞ \n", " log⎜─────────────⎟⋅log⎜──────────────⎟ \n", " ⎝ VH ⎠ ⎝ VH ⎠ \n", "E = ─────────────────────────────────────────────────────────\n", " ⎛ ⎛ 2 ⎞⎞\n", " ⎜ ⎜ κ ⋅w ⎟⎟\n", " L⋅⎜Δ + γ⋅⎜1 + ─────────────────────────────────────────⎟⎟\n", " ⎜ ⎜ ⎛10.0⋅(-d + z)⎞ ⎛100.0⋅(-d + z)⎞⎟⎟\n", " ⎜ ⎜ gₛ⋅log⎜─────────────⎟⋅log⎜──────────────⎟⎟⎟\n", " ⎝ ⎝ ⎝ VH ⎠ ⎝ VH ⎠⎠⎠" ] }, "execution_count": 64, "metadata": {}, "output_type": "execute_result" } ], "source": [ "eq_PM_g.subs({g_a:g_a.definition.expr, r_a:r_a.definition.expr, d:d.definition.expr, z_om:z_om.definition.expr,\n", " z_oh:z_oh.definition.expr,VH:VH.definition.expr})" ] }, { "cell_type": "code", "execution_count": 96, "id": "noted-avatar", "metadata": { "jupyter": { "source_hidden": true } }, "outputs": [], "source": [ "from sympy import latex\n", "from sympy import N\n", "from numpy import arange\n", "from essm.variables.units import derive_unit, SI, Quantity\n", "from essm.variables.utils import markdown\n", "\n", "def plot_expr2(xvar_min_max, yldata, yllabel=None, yrdata=None,\n", " yrlabel='', clf=True, npoints=100, ylmin=None, ylmax=None,\n", " yrmin=None, yrmax=None, xlabel=None,\n", " colors=None,\n", " loc_legend_left='best', loc_legend_right='right',\n", " linestylesl=['-', '--', '-.', ':'],\n", " linestylesr=['-', '--', '-.', ':'],\n", " fontsize=None, fontsize_ticks=None, fontsize_labels=None,\n", " fontsize_legend=None,\n", " fig1=None, **args):\n", " '''\n", " Plot expressions as function of xvar from xmin to xmax.\n", "\n", " **Examples:**\n", "\n", " from essm.variables import Variable\n", " from essm.variables.physics.thermodynamics import T_a\n", " from essm.equations.physics.thermodynamics import eq_nua, eq_ka\n", " vdict = Variable.__defaults__.copy()\n", " expr = eq_nua.subs(vdict)\n", " exprr = eq_ka.subs(vdict)\n", " xvar = T_a\n", " yldata = [(expr.rhs, 'full'), (expr.rhs/2, 'half')]\n", " yrdata = exprr\n", " plot_expr2((T_a, 273, 373), yldata, yllabel = (nu_a), yrdata=yrdata)\n", " plot_expr2((T_a, 273, 373), yldata, yllabel = (nu_a),\n", " yrdata=[(1/exprr.lhs, 1/exprr.rhs)],\n", " loc_legend_right='lower right')\n", " plot_expr2((T_a, 273, 373), expr)\n", " plot_expr2((T_a, 273, 373), yldata, yllabel = (nu_a))\n", " '''\n", " (xvar, xmin, xmax) = xvar_min_max\n", " if not colors:\n", " if yrdata is not None:\n", " colors = ['black', 'blue', 'red', 'green']\n", " else:\n", " colors = ['blue', 'black', 'red', 'green']\n", " if fontsize:\n", " fontsize_labels = fontsize\n", " fontsize_legend = fontsize\n", " fontsize_ticks = fontsize\n", " if not fig1:\n", " plt.close\n", " plt.clf\n", " fig = plt.figure(**args)\n", " else:\n", " fig = fig1\n", " if hasattr(xvar, 'definition'):\n", " unit1 = derive_unit(xvar)\n", " if unit1 != 1:\n", " strunit = ' (' + markdown(unit1) + ')'\n", " else:\n", " strunit = ''\n", " if not xlabel:\n", " xlabel = '$'+latex(xvar)+'$'+ strunit\n", " else:\n", " if not xlabel:\n", " xlabel = xvar\n", " if hasattr(yldata, 'lhs'):\n", " yldata = (yldata.rhs, yldata.lhs)\n", " if not yllabel:\n", " if type(yldata) is tuple:\n", " yllabel = yldata[1]\n", " else:\n", " try:\n", " yllabel = yldata[0][1]\n", " except Exception as e1:\n", " print(e1)\n", " print('yldata must be equation or list of (expr, name) tuples')\n", "\n", " if type(yllabel) is not str:\n", " unit1 = derive_unit(yllabel)\n", " if unit1 != 1:\n", " strunit = ' (' + markdown(unit1) + ')'\n", " else:\n", " strunit = ''\n", "\n", " yllabel = '$'+latex(yllabel)+'$'+ strunit\n", " if type (yldata) is not list and type(yldata) is not tuple:\n", " # If only an expression given\n", " yldata = [(yldata, '')]\n", " if type(yldata[0]) is not tuple:\n", " yldata = [yldata]\n", " if yrdata is not None:\n", " if yrlabel == '':\n", " if hasattr(yrdata, 'lhs'):\n", " yrlabel = yrdata.lhs\n", " if type (yrdata) is not list and type(yrdata) is not tuple:\n", " # If only an expression given\n", " yrdata = [yrdata]\n", " if type(yrlabel) is not str:\n", " yrlabel = '$'+latex(yrlabel)+'$'+ ' (' + markdown(derive_unit(yrlabel)) + ')'\n", "\n", " xstep = (xmax - xmin)/npoints\n", " xvals = arange(xmin, xmax, xstep)\n", "\n", " ax1 = fig.add_subplot(1, 1, 1)\n", " if yrdata is not None:\n", " color = colors[0]\n", " else:\n", " color = 'black'\n", " if ylmin: ax1.set_ylim(ymin=float(ylmin))\n", " if ylmax: ax1.set_ylim(ymax=float(ylmax))\n", " ax1.set_xlabel(xlabel)\n", " ax1.set_ylabel(yllabel, color=color)\n", " ax1.tick_params(axis='y', labelcolor=color)\n", " i = 0\n", " for (expr1, y1var) in yldata:\n", " linestyle = linestylesl[i]\n", " if yrdata is None:\n", " color = colors[i]\n", " i= i + 1\n", " try:\n", " y1vals = [expr1.subs(xvar, dummy).n() for dummy in xvals]\n", " ax1.plot(xvals, y1vals, color=color, linestyle=linestyle, label=y1var)\n", " except Exception as e1:\n", " print([expr1.subs(xvar, dummy) for dummy in xvals])\n", " print(e1)\n", " if i > 1 or yrdata is not None:\n", " plt.legend(loc=loc_legend_left, fontsize=fontsize_legend)\n", "\n", " if yrdata is not None:\n", " ax2 = ax1.twinx() # instantiate a second axes that shares the same x-axis\n", " color = colors[1]\n", " ax2.set_ylabel(yrlabel, color=color)\n", " i = 0\n", "\n", " for item in yrdata:\n", " if type(item) is tuple: # if item is tuple\n", " (expr2, y2var) = item\n", " else:\n", " try:\n", " (y2var, expr2) = (item.lhs, item.rhs)\n", " except Exception as e1:\n", " print(e1)\n", " print('yrdata must be a list of equations or tuples (var, expr)')\n", " return\n", " linestyle = linestylesr[i]\n", " i = i + 1\n", " try:\n", " y2vals = [expr2.subs(xvar, dummy).n() for dummy in xvals]\n", " ax2.plot(xvals, y2vals, color=color, linestyle=linestyle, label=y2var)\n", " except Exception as e1:\n", " print(expr2)\n", " print([expr2.subs(xvar, dummy).n() for dummy in xvals])\n", " print(e1)\n", "\n", " if not yrlabel:\n", " if hasattr(yrdata[0], 'lhs'):\n", " yrlabel = yrdata[0].lhs\n", "\n", " if type(yrlabel) is not str:\n", " yrlabel = '$'+latex(yrlabel)+'$'+ ' (' + markdown(derive_unit(yrlabel)) + ')'\n", " ax2.tick_params(axis='y', labelcolor=color)\n", " if yrmin: ax2.set_ylim(ymin=float(yrmin))\n", " if yrmax: ax2.set_ylim(ymax=float(yrmax))\n", " leg=ax2.legend(loc=loc_legend_right, fontsize=fontsize_legend)\n", " ax2.add_artist(leg);\n", " for item in ([ax2.xaxis.label, ax2.yaxis.label]):\n", " item.set_fontsize(fontsize_labels)\n", " ax2.tick_params(axis='both', which='major', labelsize=fontsize_ticks)\n", "\n", " for item in ([ax1.xaxis.label, ax1.yaxis.label]):\n", " item.set_fontsize(fontsize_labels)\n", " ax1.tick_params(axis='both', which='major', labelsize=fontsize_ticks)\n", " fig.tight_layout() # otherwise the right y-label is slightly clipped\n", " return fig" ] }, { "cell_type": "code", "execution_count": 97, "id": "loaded-philadelphia", "metadata": {}, "outputs": [], "source": [ "# define new classes of equations: \n", "\n", "class eq_VH(Equation):\n", " \"\"\"Formal definition of VH\"\"\"\n", " expr = Eq(VH,z/(0.66+0.1*exp(kappa*w/u_star)))\n", " \n", "class eq_zom(Equation):\n", " \"\"\"Formal definition of zom\"\"\"\n", " expr = Eq(z_om,0.1*eq_VH.rhs)\n", "\n", "class eq_zoh(Equation):\n", " \"\"\"Formal definition of zoh\"\"\"\n", " expr = Eq(z_oh,0.1*eq_zom.rhs)\n", " \n", "class eq_d(Equation):\n", " \"\"\"Formal definition of d\"\"\"\n", " expr = Eq(d,0.66*eq_VH.rhs)\n", "\n", "class eq_ga(Equation):\n", " \"\"\"Formal definition of ga\"\"\"\n", " expr = Eq(g_a,(w*kappa**2)/(log((z-eq_d.rhs)/eq_zom.rhs)*log((z-eq_d.rhs)/eq_zoh.rhs)))\n", "\n", "class eq_PM_formal(Equation):\n", " \"\"\"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", "\n", "expr = eq_PM_formal.rhs.subs(vdic)" ] }, { "cell_type": "code", "execution_count": 115, "id": "significant-parliament", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" }, { "data": { "text/plain": [ "" ] }, "execution_count": 115, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sympy.plotting import plot\n", "plot(diff(eq_PM_formal.rhs,w).subs(vdic))" ] }, { "cell_type": "code", "execution_count": null, "id": "wicked-drive", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "20\n", "40\n" ] } ], "source": [ "from sympy.utilities.lambdify import lambdify\n", "delta = np.linspace(0.2,10,100)\n", "vpd = np.linspace(250,1550,100)\n", "\n", "delta_mesh, vpd_mesh = np.meshgrid(delta,vpd)\n", "\n", "heatmap = np.zeros(delta_mesh.shape)\n", "\n", "for i in range(delta_mesh.shape[0]):\n", " if i % 20 == 0:\n", " print(i)\n", " for j in range(delta_mesh.shape[1]):\n", " vdic = {Delta:delta_mesh[i,j], G:25, Rn:400, VPD:vpd_mesh[i,j], 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", " deriv = lambdify(w, diff(eq_PM_formal.rhs,w).subs(vdic))\n", " \n", " heatmap[i,j] = deriv(1)# what happen with wind speed of 1m/s" ] }, { "cell_type": "code", "execution_count": null, "id": "unexpected-brick", "metadata": {}, "outputs": [], "source": [ "fig = plt.figure(figsize = (10,10))\n", "ax = fig.add_subplot(111, projection='3d')\n", "\n", "ax.plot_surface(delta_mesh, vpd_mesh, heatmap)\n", "\n", "ax.set_xlabel(r'$\\Delta$')\n", "ax.set_ylabel(r'$VPD$')\n", "ax.set_zlabel(r'$dE_a/dW$')" ] }, { "cell_type": "code", "execution_count": 141, "id": "false-alcohol", "metadata": {}, "outputs": [ { "data": { "image/png": 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9e1A9D+74ONFCD9dcsYx0weKqm9Z6qyR6eHi84Zl2Qq4EdeLnt2J2pMm+2APAgtPPpnXZCp699SbXxRLSOeuKeQx1ZVl1116EptH4/e+j6DpdX/oSmBb/fuq/EzEifPmpL5PBgfffDHYJbruc+ZUq//X+pWzuSvLVOzZ7g58eHh5vaKadkAMEllbjmx0n+eABrOECQgje+vHPohkGD/33D3Ecm5nHVLH4rCY2Pd7B/s2D6HV11F99NcVt2+n/3vepDFTyn6f/J4dSh/j6s1/HqWyDS26A3pfg7k9z7oJavnzuXO7Z2M1/P7n3SJ+yh4eHx6syLYVcCEHiPbNBwPD/7EI6knCigrM/+kl6du8cf33/5He3UdUc5vEbt5MZKRA5+ywSH/ogIzffTPL++zm+7ni+cvxXeLLjSX6+6ecw+63w1u/Atrvh6e/z6TPbuHBpA99buZM/bOo+oufs4eHh8WpMKyE3TZOeHtedosX9xC9opbQ/SeZ5V2TnnXIG8089k1X/cyud215C01Xe9rFFWJbDIzdsw7Edar/8ZQLLltHzjX+ksH07l8+7nIvaL+KaTdfw6MFH4eTPwTHvhyf+FbH1Lr77nmNYMbOCL/5+I8/tGTySp+/h4eHxikwrIf/DH/7ATTfdRDrtrlYYXFaLf14FyYcOYPbnEEJwzsc+Tbyujvt//J/kUknitUHOvHwu3btHXX+5YdD0o/9CjcXo/MxnsUdH+acT/4ljqo7hH579B7YNb4cLfgwtJ8Ndn8Df+RzXfmg5rVVhPnHzOl7qSh7hq+Dh4eExlWkl5KeddhqmaXLPPfcgpRx3sSiGwvCtO5CmgxEIcv7nv0o+nWLlz/8LKSVzT6hj8VlNbHy0g50v9qJVVdH0059gDQ7S9YW/Q3cEPzzrh8R8MT7z2GfoKg7BZb+Fila47QPEUju58aMriAV0/uZXqzk4lD3Sl8LDw8NjnGkl5NXV1Zx77rns2bOHtWvXAqBGDBLvm4vZk2X0PndQsnZWG2d88Er2rV8z7i8/5ZJ2GmbHeeI3O+g/mCKweDF13/k2uRdfpOdb/0x1oJprzrmGol3kk498klEh4Io7wAjDLZdQJ/u58aMrsB3J5de+SMdw7ohdBw8PD4/JTCshBzj++ONpa2vj4YcfZnDQ9VkH5lUQPqOJ7Iu95Db1A7D0be9k/qln8tzvf8PedS+iqgrnXbWIQETnwWu2kE0WiV90EVWf/jTJO+9k8Kc/oy3exo/P+jFdmS4+9/jnKISqXDEv5eDGd9HuT3HzlSeQLphcdu0LdI3mj+Sl8PDw8ACmoZALIbjwwgtRVZU77rgD03RXK4ydOwNjRpSRO/ZgDrj+8rd+4nPUzGzlgZ98n6HODgIRg3d88hgKWZP7f7aZUsGi6nOfJXbxxQz+7GeM3n47y+uWc/VpV7NpYBNffPKLmFWzXTHPDsCNF7AoWuA3HzuBZN7ksl++QLcn5h4eHkeYaSfkANFolIsuuoienh5WrlwJgFAVKi6bh9AEQzdtwylY6IaPC7/8j2iGj3u+/y8UMhmqWyK87eOLGOzMsPLarTiOpP473yZ0yin0fOufST/xBG+b+Tb+8cR/5JmuZ/jK01/BbFwKH7gdUj1w07s4Jm5y85UnMJItcdm1L9A54rlZPDw8jhzTUsgB5s2bxymnnMLatWvZtGkTAFrcR+UV87GGCu7gpyOJVlVzwRe/TrK/n3u+/69YpRIzF1dxxmVzOLR1iKd+uxM0jcYf/Qj/vHl0ff4LZJ57jvfNfR9fW/E1Hjv0GP/wzD9gN6+Ay38HIwfhpgtZmihx45UrGM6WeO81q9jT733308PD48gwrYTcNEcZGXlhfPvss89mxowZ3HffffT3u75xX2uc+IVtFHaOkHxwPwBN8xby9s/8HZ3bX+LBn/4/HMdm4WmNLH/HTLY/18ML9+xDCQVpvu5ajFmz6PzMZ8muXs0H5n+ALy77Ig8deIh/eu6fsGacBJffBiP74YbzOC6a5vefOAnTlrz3mlVs6hg9EpfFw8PjTc60EvKdu77Nxk0fI5PZCYCqqlxyySUYhsGtt95KNutOCwyfUE/opHoyz3SRXd0LuC8LnfHBK9n14nM8eeN1SClZccEsFp7WwPqHDrL2gQNoiQQtN1yP3tRIxyc/RW79Bj6y6CP87bF/yx/2/YG/f/rvKc04GT54N+QG4YbzmK/1csenTiLs17j82he8l4Y8PDz+6kwrIZ/d/nU0LcLmLZ/ENN0XcyKRCJdeeimpVIrf/e53WJYFQPydrfjmJBi5azf5bUMALH/nxSw7/0I2PPQHXrzr9wghOOOyucw7qY7Vf9jP+pUH0SorabnhBvTqajo+9jGyL67m48d8nK8e/1UeOfgIn3v8c+TqF8PfPAC2Cb86jxnFXdz+yZNpSgT58A2r+f2ajiN2jTw8PN58TCsh9/lqWLz4pxQKPWzd9ndI6S4x29zczEUXXcShQ4f4wx/+4L4spCpUfmA+emOYod/uoHjAFf4zrriS+aedxXO/u5k1996BUARnfXA+s4+vZdVde9n46CH0mhpabroJraGejquuIv3kk1yx4Aq+c/J3eKHnBT7xyCdIVbTARx8CIwS/ege13Y/z+0+exEltlfz9HZu5+sHtOI63aqKHh8dfnmkl5ADx2DLmzPkmQ0NPsW/fD8fTFy9ezJlnnsmmTZt4+umnAVB8KlV/sxAt7mPw19swe7MIReG8T32BuSefztO3/Ip199+NogjO+Zv5tB1XzXO372HN/fvRaqqZcfPN+Nrb6fzs50g98AAXz76Y753+PV4aeokPPfAhunx+uPJRdy3z2y4ntvGX3PDh5XzghBZ+8dQ+PnXLOnIl60hdKg8PjzcJ007IARobLqOh/n0cOPhzurt/P55+xhlnsGTJEp544glWr14NgBo2qLpyEcJQGLhuC2ZfFkVVecdnv8TsE07myZuuY/2D96KoCudeuZB5J7pulufu2IMaj9Ny468JLF1C15e+zPBvbuHcmedyzTnX0J/v5/L7L2dLoR/+5n6YfwGs/Af0h77Mv75rHt+6YAGPbOvj3f/9PAcGvVf6PTw8/nJMSyEXQjB37neoqDiNHTv/kaGhp8fT3/WudzF37lweeOABNm/eDICW8FP98cUgYODaCTE//2//nvbjT+SJX/+SF+64DaEIzv7QfHcd80c7eOI3OxCBIC3XXkv4rLPo+9d/pfff/p0VNcv5zdt/Q0AL8JGVH+GRnufgvTfCqX8Ha29A3HQRHzkmyK8+soLeVIELfvIsK7f2HslL5uHhcRQzLYUcQFF0Fi/6CaHQHLa89FnS6a3AxEyWmTNnctddd7FzpzvDRa8OUn3VMVPEXNU03vmFr7HgtLN47ve/4cmbrgMkp71vNsvPd6cmPvDzLVhCp+knP6biwx9m5Oab6fzs55ip13LLO25hbsVcvvjkF/nppv/GPvuf4N3XQtc6+MXpnOHfy32fO5XW6hCfuHkdVz+4Hct2juBV8/DwOBqZVkLeWSjx4MDo+LamRVi65Ho0LcqGjR8hm3UXzdJ1ncsuu4z6+np+97vfsWPHDjd9spj/cjOlzjSqpnHep/+OY99+AesfuIeV1/wIx7Y54YJWzrh8Loe2DXPn99aTSZrUfv1r1H7zn8g89RQHrvggkaEC1597PRe2XcgvNv+Czzz2GUbnnAsfexSMIPz6fJp23sjvP3EiV5zo+s3f/8sXvAW3PDw8XlfEkfge5fLly+XY6oX/Fz677SB39Y/wq0WzOLcqNp6eze5j/YbLAIVlx91KMDgTgHw+z29+8xt6enp4z3vew8KFCwEwB/MMXr8FJ2tR+cH5+GcnkFLywh238fz/3ELLoiVc8Hdfxx8Oc2jbECt/+RKaofKOTx9D7cwomaefputLX0YoCg3f/x6hU0/l9t23c/WLV1MdqOYHZ/2AhcFGuPvTsPN+mHs+vOsn3LO7wD/e9RIS+Od3LeQ9xzUihHgdrqiHh8ebASHEOinl8sPSp5OQZyyb92zcw85sgVuXtHFSPDyRl9nJ+g0fQFH8LDvuNgKBJgAKhQK//e1v6ejo4KKLLmLJkiUA2KkigzdsxRzIUfG+OQSX1ADw0pOP8sgvf0qsto6Lv/pNEnUNDHVnuP+nm8mlSpx+2RwWnNJA6eBBOv/28xR37aLqs5+h6lOf4qWhrXzxqS8ylB/i75b9HR+YexnKi9fAY9+GQAIu+jmdlSfxxd9vYvX+Yd6xuI5/v3gx8aDxOlxVDw+Po52/qJALIW4A3gn0SykX/W/lX6uQAwyVLC7asJveosmdx7azOBIcz0unt7F+wwfQtAjHLr1pvGdeKpX47W9/y4EDBzj33HM56aSTEELg5C0Gb9pKaX+K6NtmEDmzGSEEndte4p4f/DtIybu++HWaFx5DPl3i4eu30rljhAWn1HPapXNQrBI93/oWqXv/QOi002i4+t9JhRW+9dy3eLLzSU5pOIV/OeVfqE71wh0fh4HtcMKnsM/+Jr9Y1c0PHt5FImTwnXct5O2L61/T9fDw8Hjz8JcW8tOBDHDTX1rIAboKJd61fjd5x+H3S9pYNEnMU6ktbNz0UYRQWLrk10Qi8wH3e5933XUX27ZtY8WKFZx33nkoioI0HYZv30V+0wCBJdVUXDIboauM9vZw13e/zUhvN6dd9mGWX/BupITV9+5j3UMHqW6JcN5Vi4hU+hm97Tb6rv4PlHCY+n//N8JnnMH/7PofvrfmewS0AN8++ducVX8iPPItWP0LqGiDd/2El/RFfPWOzWztTvG2hbV858JF1Eb9r/m6eHh4HN38xV0rQoiZwH1/DSEH2J8rcsnGPWRth9uWtLE0OiHm2exeNmz8ELadZckx1xGPu+ftOA4PP/wwL7zwAvPmzePd7343hmEgpST9ZCephw+gN4Sp/NACtJiPYi7Hw9f8iF0vPkfb8hM579NfwB8Ks3/TAI/+ejtSSs64dA5zTqijtGcPXV/+CsWdO0lcfjk1f/8VDhS6+eozX2XH8A7Obz2frx7/VRJdG+EPn4fRg7D8o1hnf4vr1gzxw0d2YagKX3vHPC47vgVF8XznHh4eUzniQi6EuAq4CqClpWXZwYMH/+xjHsoXec/GvYyaFrctaWNZLDSel893sWHjhygWe1mw4PvU1rx9PO+FF17goYceora2lksvvZREIuHus22I4dt2IgyFivfPHR8E3fDQH3jq5uuJVFbxzs9/lbr2OaQG8zz662307EnSvqyGMy6fi6FLBn7wQ4Z//WuMWbOo/5fvoB+7hOu2XMcvt/ySiB7hayu+xtsbT0c8eTW88N8QroN3fI8DVWfy9bteYtW+IY5pivGtCxaybEbiz75GHh4eRw9HXMgn83r0yMfoKpS4ZOMe+koW1y6cyVsqo+N5pdIgmzZ/klRqA22tX2LGjE+NzxLZtWsXd9xxB4qicMkll9DW1gaA2Zdl6JYdWAM5Imc2Ez1nBkIVdO/awX3/9V0yI0Oc+O5LOeHi9yEUlQ0PH2T1vfsJRA3O/tA8WhZUkl21ip5//CfMri7il11KzZe+xD6zh289/y22DG7h9KbT+fqKr9OU7IN7Pwf9W6HtbOR5/8G9XWGufmAHvakC7z62ka++fZ7nbvHw8ACOEiHf0ZtiU8co7z++ZUp6X9Hkis372JbN8905zVzRUDmeZ9tFtu/4Gn1991JXdxHz5v47quoDYGhoiN/97ncMDAxw9tlnc8opp6AoCk7JZvTeveTW9mHMjFJx2Ty0mI9CNsPjv/oF2595grq22bz9s1+ioqGJ/oMpHv3VNkZ6c8w9oY5T3tuOT7EY+NGPGb7pJrSaGuq+9U2CZ57BLdtv4acbf4ojHT6y6CN8dP4HCWz4LTzx72Bm4YRPkj3pS/z3qn6ufXo/mir49JltfPTUWQQN7f98zTw8PI4ejgoh/+rtm/nd2g4+/5bZfOGc2VPmYGcsm49vPcATw2m+MKOWv59Vh1LOl1Jy4MDP2Lf/h0Qii1i86KcEAs0AFItF7r33XrZu3cqsWbO4+OKLiUbdXn12fR+jd+8BRRC/oI3gcTUIIdi56lkeve5nWKUSp7zvAxz3jgtxHFj34EHWP3QQI6hx6ntnM2dFLYXNm+n5x3+iuHs3odNPo/ZrX2ekNsAP1v2AB/c/SH2oni8v/zJvrToW8fh3YP3NEKqCM77KwZmX8G8P7eXhbX1UhX387VvaufT4FgxtWr3H5eHh8Trxl561citwJlAF9AHfklJe/2rlX6uQm7bD1+/cwu3rOrlsRQv/cuFCNHVC1ExH8rVdHdzSM8zbq2L8eH4LEU0dzx8YeIRt2/8ekCyY/z2qq98KuEK/fv16HnroITRN48ILL2TevHkAWIN5hm/fRelACv/8ChIXz0aNGmSGh3jk2p+yb/0aqme2cu7HP0td+xyGujI88Zsd9O1P0TQvwanvm01FlcHwLb9l8Kc/xSmVqPjgB6n69KfYkNnB1auvZtfILpbVLuMLx32BpZaEld+Ag89BYiac9Y+si57Nd1fuYvX+YZorAnzxrXN415JGVG9A1MPjTcVR8UIQuKL7/Yd38rMn9nLO/Fp+dOlSQj5tSv51nYP8894uZgV8XL9oFnNDEz7mfL6DLS99jnR6Cy3NV9LW9iUUxXW1DAwMcMcdd9Db28txxx3Hueeei9/vRzqSzHPdJFceQOgK8fNnETyuFgTsXv08j//qF+RGR1l63vmc8r4PovsDbH26ixfv3UepYLPo9EZWXDALLZ+k/4c/JHnHnahVVVR/9rOEL34Xd+6/l59v+jlDhSHOaj6Lvz32c7QPHoBHvw19W6B2MfLsb/CUPI7/XLmLbT0pWqtDfPrMdi5c2oCuej10D483A0eNkI9x4/MH+PYftjK7JsIvP7SMGZWhKfnPj2S4ausB8o7D/5vbzEW1EzNAHKfI7j1X09l5M6HQHBYu+D6RiPv6vmVZPPHEEzz//POEw2HOP//88d65OZBj5PbdlA6mMGZEiV/UjlEfopjL8sytN7HpkQcIRmOc8v4rWHTWWynmbFb/YT9bn+7CCGqseGcrC09roLR9K31X/wf59evRZ7RQ/bm/RXvrGdyy87f86qVfkTWzXNB2AZ9cfBXNh9bA4/8CIweg7hic077Eg9bx/PTJfWzvSdGUCPCJM9p477Im/LqKh4fH0ctRJ+QAz+we4LO/3QDATy8/ltNmV0/J7ymWuOqlg6xJZbmkNsHVc5qmuFoGh55k+/avY5rDzJr5WWbM+BSK4vbuu7q6uOeee+jv72fhwoW8/e1vJxwOIx1Jbn0fyQf24xQswic3Ej2nBcWv0btnF0/cdB3dO7dR3TKTMz70MWYsXspQV4Zn/2c3nTtGiFb5Of6ds5h9fC25p59i4L9+RHHnTnzz5lH9hc9jnbCE61+6nlt33IolLd4+6+18fMFHaDu0Bp75AQzvhaq5yFP/jif00/nJUwfYcGiU6oiPj5wyk8uObyER8l759/A4GjkqhRzg0FCOj9+0lt39aT7/ljl89uz2Kb5jy5H818E+fnCgl0a/wc/mt7Bi0hotpjnKzl3/TF/fH4iEFzJ33r8Qi7rrsViWxXPPPcfTTz+NpmmcccYZrFixAk3TsLMmqZUHyK7pRQnqRM9pIbSiDhTBrhee4+lbfkVqoI9Zxy7nlPddQc2sNg5tG+bFe/YxcChNoi7ICe9qZdaSStIPPMjAj3+M2dGBb/58qj5xFflTlnDTjt/wP7v+h7yV55yWc/j4oitZ0LcTnv5/7pTFeAtyxVWsTpzPT54b4Nk9g/h1hYuPbeQjp8xiTm3kdbnGHh4ebwyOWiEHyBYtvnHXFu7e2M2KmRX88NKlNMYDU8qsTWb59LaDdBZKfKypmq/OqiM0qXfe3/8Qu3Z9h2Kpn8bGy2hr/TK67q6wODg4yMqVK9m9ezeVlZWcd955zJ49G4BSZ5rR+/dT2p9EqwoQO28m/oWV2KbJ+gfvZc09t1PIZmg//iROft8HqGqewb4NA7x47z5GenNUNoY57rwW2hZXkH7gfoZ++UtKBw5gzJpF5cc/jvPWU7llz23cuv1W0maaFXUr+MC8yzkjl0dd9TM49DzoIVh6OfvaPsi12wR3ru+iaDmc2l7Fh0+eyVlzq6cMCnt4eExPjg4h3/80dK6FU74AyuHCdOf6Tv7p7pdQFcG/XbyYdx5TP2WKYtqy+de93dzYPUSTX+e7c5qnvEBkWWn27f8RHR03ousJ2tv+nvr6ixHCFfxdu3bx0EMPMTw8TFtbG295y1toaGhASklh5wjJB/Zj9ecwmiNEzmnBPydBKZ9j3f33sO7+uynlc8w56TROfPf7qWyawe7Vvax76CAjvTmiVX6OPXcGc1fUkH/yMQZ/8UuK27ej1dWRuOwytIvezp0Dj3DrjlvpzfbSGG7k8nmXc3FkNpF1N8FLt4Ndgva3kl78YW4ems1NL3TRmypQG/Xx3mXNvG95My2VwcOum4eHx/Tg6BDyB/7eXXRq1ulw8S8g2nBYkYNDWf72to1s6hjl3AW1/MtFhy9EtXo0w5d2drA7V+TCmjjfbGug0T/hV06nt7Fj5zdJpTYQDs+jve2rVFaeDrjultWrV/PMM8+Qz+dZsGABZ511FtXV1UhbklvXR+rxQ9ijRfSmMNGzW/DPr6CYzbL2vrtY/+C9mIU8M5cu4/gL3kPT/EUc2DLEuocO0n8gRSBqsPiMRhac2oDc+ALDN95I9vlVCMMgesE7iV1+Gc+Furll+y2s719PQAtwQesFvLvpLBbseQax7leQ6YNwHfaSy3ku+nZ+vV3w5M5+HAmntFfy/uNbOHdBrTc46uExzTg6hFxK2HAzPPhV0Hzwrp/C/HceVsyyHW54bj//7+FdGJrCP7xjPu9f3jxlIaqi4/CTg/389FAfAvhUSw2faakhpKrlQ0n6+x9g797vky8coiJxKu3tfz8+u6VQKLBq1SpWrVqFaZocc8wxnHrqqa6gWw65Df2knujAHi6gN4SInNFMYFEVhXyGzY88yPoH7yWXHKW2tZ3lF7yb9uNPom9fhvUPH+TQ1mEUVdC+rIbFZzYRt/oY+e1vSd5zLzKfJ7B8GYn3vpeu5S3csv92Vh5YSdEuMq9iHu9uu5B3OD5im2+H3Q+DdGDW6YzMvZRbU4u5Zf0gXaN5In6Nty+q48KljZzYWunNSffwmAYcHUI+xuBuuP2j0LsZjnk/vO1qCFUeVuzAYJav3bmZF/YNc2xLnG9dsJClzfEpZToKJf5tbzd3949SZ+h8tbWO99ZWoJWFzXGKdHb9lv37f4pljVJVdQ6zZn6GaPQYALLZLM8++yxr1qzBsizmzZvHqaeeSlNTE9J2yG0YIP1kB9ZgHjXmI3xyA6EVdTiqw7ZnHmftH+5ipKeLcKKCxW95G4vf8jZsM8iWpzrZ8XwPpYJNdUuERWc0Mmu2n9x99zBy222Yhw6hhMNEzz8f/cLzeCxwgDv23Mn24e34VB9vaXkLF9SfzAndO9A33OKutqgHkXPPZ2vVufy6r5UHtw6SLdnURHy885gGLlzawDFNMe+rRR4eb1COLiEHsIrw9Pfg2R+CPwbnfRcWXwIvEyHHkdyxvpP/XLmTgXTxVReiWpPM8s3dXWxI52gL+PjSrDourImjluszzRSdnTdyqONXWFaSysozmTXzc8RiSwFX0F988UVWr15NoVBg5syZnHzyybS3tyMQFHYMk3m2i+K+JMJQCC6rJXxSA1qVn30b1rDp4QfYv2k9Qgjal5/Ikre+g7r2BexeO8CWJzsZ7s6iGQptx9Uw78Ra4sk9pO68k9TKh5GFAr45c4hdeCF9J7VzZ+ppHtj/AOlSmoQvwbkzzuUdwWaWHlyPsv0eyI9AIIE170LWhM/i1531PLFrmJLt0FIR5NwFtbxtUR3HtSS8nrqHxxuIo0/Ix+jbCvf+LXSthdaz4LyroWb+YcUyRYufPbGH65/Zj6oIPnLKTK46vXXKZ9aklDw0mOR7+3vZli0wO+jjSzPruGCSoFtWms7O33Co43pMc4R47Hiamz9CdfU5CKFSLBZZt24dq1atIp1Ok0gkWL58OcceeyzBYJBSV4bMc13kNg2ALTFmRAmtqCOwuIrUyACbH32QLU88QiGdIlpdy4LTz2L+qWdRKoTZvqqHPWv6KBVsolV+5p5YT9uCMMrqxxm9804KmzcDEFi+jNB5b2Pr4ij3jT7DUx1PUbAL1IfqOW/GuZwjoiza/wLKrgfBzEGwklLbebzoO5Gb+mbx5L40pi2pChu8dUEt5y6o4+T2Snya51P38DiSHL1CDuDYsOY6eOLfoJiB5R+BM//hFd0th4ZyfO/hndy3uZuwoXHlabO48tRZRPz6RHVSct9Aku/t72F3rkiL3+ATzdVcWl8x7kO3rCzd3b+jo/NGCoVO/P4mmps+TEPDe9G0CLZts337dlavXs2hQ4fQNI1FixaxfPlyGhsbcbImuXX9ZNf0Yg3mEX6V4LE1hJbVIqoN9qx+nq1PP87BLRtBSurnzGPh6WfTuuxkuncX2LGqh84dIwBUNYdpX1bDjDoTVj1K8v77Ke3ZC6pK6MQT8Z1zJuvaFe5LPsuq7lVY0qI6UM1Zjadytgizoms7+p5HoZgCPYTZejabI6fxu5E53L+7SLZkE/ZpnNJeyRlzajh9ThVNCW/2i4fHX5ujW8jHyA7Bk1fD2hvAF4ZTPg8rPuHGX8bO3jQ/fGQXD23tJR7U+dCJM/jQyTOpCvvGy9jlHvp/H+pnXSpHXFP5m8Yq/qaxijqfK/xS2gwMPEpHx68YTa5BVYPU1JxPQ8N7iUWPQwhBb28va9asYfPmzZimSWVlJUuXLmXJkiVEIhFK+5NkV/eSe2kQLIlWFSC4tJrAkmoKao7tzzzJtqcfZ6jzEIqqMWPxEmafeAr17cfSuTPPnnX99O1PAVAzI0LbcTU0xjKI5x8m9cADmJ2dIASBY45BO+MUXpof4GG28mz3c+StPGE9zGkNp3C6Uc3Jg4eo2PUoZHoBgdN4HAfjJ/NQYSG/7ayiI1kCoL0mzBlzqjljTjUrZlV4M2A8PP4KHBVCvvLASjYPbObjiz9O3B9/9YL9O+CRb8LulRCshJP/FlZ8HIzQYUVf6kry48d288j2PnRV4T3HNfHx02bRWj1V/Ncks/z8UD8PDiZRBLytMsYHGyo5oyIyvlxuKrWFrq7f0td/H7adIxhsp7HhfdTVXYRhVFIoFNi6dSubNm3i0KFDCCFobW1lyZIlzJkzB8NRyW8dIrexn+K+JEjQG8MEl1TjX1jJcLKL7c89xe4Xnyc10IdQFFoWLWHOCadQ27aUrt1F9q7rp/9gGoB4bZAZiytpTOQJ7niW3OOPU9i6FQBjxgwCZ57OwfkVPBrv5NG+ZxguDAOwoGIBp0RbOTlfYEnnZvSu9SAdpD9OpvE0NhjHcedoOw906JQsB5+msHxmghNnVXJiWyVLmuLeUrseHn8Bjgoh/8mGn3Dt5msJ62GuXHwlH5j/AfzaH/l6Tuda94MNex+DYBWc+ElYfiUEKw4runcgw3XP7OeO9Z2YtsOZc6r5wAkzOPNlb0UeyBe5uXuI23qGGTItmv0GV9RX8t66BA3lueiWlaG//wG6un9PKrUBITQqKk6ltvYCqqvOQdPCDA0NsWnTJjZt2kQymURVVdrb21mwYAFz585FLwlymwbJberH7MwAoNeH8C+oxL+ggpFCL7tXP8+uF55ltLcHhKCubTatxx5PzazFZJJRDr40TNfOERxb4gtqtCyspKlJJda9EfvZR8mtXo00TYRhEFi+nMzSNja0wiPKDjYNbsaWNiE9xIrqYzlBjbB8pI/Z+19AyfQC4MRa6KtYzovOfO4ansVTA667xa8rLJuR4KTWSk5sreQYT9g9PF4XjgohB9g9spsfrf8RT3U+RU2whqsWX8VFsy/Cp/pefaeO1fDUd2HPo6AFYOnlcOKnoar9sKKDmSI3rTrIbasP0Z8uUh/z8/7jm3n/8c3UxyZe+y86Dg8OJLm5e4jnRjMI4KR4mPfUJnhndYyY7i6+lcnspKf3Lvr67qNY7EFRfFRVnk1t7QVUVp6OED46OzvZtm0b27ZtI5VKoaoqbW1tzJs3j9mzZxMoaeS3DZHfOkTpYAokqHEfgQWV+OYkSKnD7Nu8hv3r19KzdxdISTAWZ9bS5bQsPg6hNNG9u8CBl4YoZEwAKhpCNLVHqBb9hPe9SHHVM65fHVCrq/CtWE53e4JVtSkedrbQle0GIGbEOC4+m+X4WT7ax9xDG1Dzbk/ejjbTm1jOWjmP+0eaeGQghkTB0BQWN8Y4riXOcS0JjpuR8D5f5+HxGjhqhHyMtb1r+a/1/8WmgU1UBar40IIP8b657yOkH+4+Gad/O6z6GWz+HdgmtL8FjvswzH07qPqUoqbt8Nj2Pm558RDP7B5EEXBKexUXLW3kbYvqCE9aA31/rsgdfSPc2TfCvnwRQwjOqYzyrpo4b6mMEtFUpHRIJtfT13cfff0PYJpDKIqPiopTqap6C1VVb0HXKujq6mLr1q3jog5QX1/P7NmzmTNnDnWxaoo7RshvG6KwexQsBzSBb2bM/Vh0o0Zn1zb2bVzLgU3rKGazIAQ1M1ppXriYWO1szFItPXvz9OxJYlsOiiKobY1SV68TzxwguONZSmtWYQ8OAqBWViKWLqS7Pc66+jyPabs5lO0EIKJHWBpvZ4n0sTg5wOKuzUSyQwA4vijD8cVsU+byVG4m9w42MGC7vfbGeIBjW+Ic25Lg2JY48+uiBAzPz+7h8cc46oQc3OmCa3rXcO2Wa3mh5wWiRpRL5lzC++a+j8Zw46vvmOmHNdfD+psg3Q2hareXftyHobLtsOKHhnL8bu0h7tnYTedIHp+mcM6CWi5a2shps6vGB/qklGxM57mzb5i7+0cZKFkYQnBqIszbq2O8rTJGjU/HcSxGR19kYPBRBgcfo1DoAgTR6FKqq86mouI0wuEF9PcPsHv3bnbt2kVnZydSSoLBIG1tbcyaNYtZzTMIjCgUdo1Q2D2C1ZcDQIno+Nvi6DMiJMUwHZ0v0bFtC927tmObJkJRqGubTeO8xQSiMyjkKunbX2TgUBop3an4lY1hamoVEsUuIgfXIdc9h9ndXa4/grJgLv2zYmytKfJUtIfN9kEABILWcBPH6AmOKZZYPNRJe98OVOkAUIi10hFcwEZrBo+P1vN0up4sARThDqAuaoyxqCHGosYYCxqiU26YHh5vdo5KIZ/MS4MvccNLN/D4ocdxpMPpTadz6bxLObnhZBTxKv5Z23L95+tvgp0PgrShcRkseg8svPiwtVyklKw7OMI9G7u5b3M3IzmTkKFy5twa3rqglrPm1hALuj17W0rWJrM8OJjkwYEkBwslBHBcNMjZFVHOqoiwJBpEATLZnQwOuKKeSrtzwXU9QSJxEhWJU6ioOBUpK9izZw+7d+9m3759ZLNZAOLxuCvqs2bRUtmA3mNR2DVCcV8Sp+xGUUI6vllRtJYQSTHEoc6tdGzbTO/eXTi2DUBFYzN1bXMJxmcgZS2jAz769qexSq4ARyr8VNXqxOUQ4b7t+Ha+gLNzK5T3Vxvqyc9poqPJz8bqLE/6D9CH+0QRUP3MDtYzXxjMy6aYP3iQ9mQvvvJPLxueSYdvNpudmTydque5bAMjuIuZtVaFWNgYY359hHl1EebURmiMB7y3Tz3elBz1Qj5Gb7aX23fdzu27bmeoMERDqIHzW8/ngrYLmBWb9eo7pntdl8tLd0DPJkDAjJNdQZ/7DohN7eGbtsOzewZ5eGsfj2zrYzBTRFMEJ7ZW8pb5NZw2u5q26hBCCKSU7MgWeHAwycrBJJvTeSQQ01ROS4Q5syLKGRURmv0GxeIAIyPPMzz8LMPDz1Es9QEQCMwgkTiReGw5sdgy0mk/Bw4cYP/+/Rw4cIBCoQBAIpGgubmZpqYm6sPVxFM+zINpivuT2KNFAIRPxWgKo9YHyKopelP76Tywle5dOyhk3Bkv/lCY2rbZRCpbEGoNhVyC0X6V9JBbBwLi1QEqoxaxUh/B3m34tq5Cdh0Yv0aiuYF0SyUddRpbK7KsCvXS4XddPZpQmRWoYb4IMK+QZ85oD23DnVQ6DgIoBGrp881il2xiTbaWF7O17JZN5PATMlRm10aYWxthTt2YDVMd9nkC73FU86YR8jFM2+SxQ49x9567WdWzCkc6LKpcxDvb3slbZ7yVmmDNq+88uAe23glbbofBnW5a3TGuL33OeVC/dMoyuo4j2dg5ysNb+3h4Wy/7BtzeckPMz6mzqzhtdjWntFdRUf5yz1DJ4pmRNE+NpHlyOE1P0e05N/sNToiFOCke5oR4iFa/QT6/b1zUR5NrsSy3l2sYNcTjy4nHlhGNLiOTiXHwYCcdHR10dHSQyWTK5QwaGxtpbm6mLlZNZTGE3mdjdmYwe7LguH9/NWqgN0ewYw4jxT46+3fSfWAbg52HkI7bK/dHolQ1zyIUb0LRaikWEoz0aeRT5vi1iCYMYsESUWuQ4NA+fPs2ou/bjKD8O4tFKcyqo6/ez55EgQ3BQbaGk2QDrgDHtRBtWoR2W9KaS9E+0k1bPktluQ2ZQCPd+gy2O02szdaypVDNPllHijCJoE5rdZjWqhCzqkO0VoVprQ4xozLovZXqcVRwVAj5yG23kVu7jti7LiB08skI7U/znw7kBnhg/wPct+8+dgzvAOCY6mM4u/ls3tLyFmbGZr7yjlLCwE7Y9SDsfAg6V7urCYbr3IHSWae74WUumENDOZ7ZM8Czuwd5bs8gqYKFEDC/LsqKWRUsn5ng+JkV1Eb9SCnZnSvy9EiaVaMZXhjNMmRaAFTpGifEQ6yIhTg2EmRh2I8s7GU0uY7k6FpGk2vL/nVQFB+R8AIi0cVEIotBzmBgQKGzs5vOzk56e3sZ+1uHQiHq6+upr62j2pegshjCNygxOzPYQ4Xx81AiOlptEDNokrKH6Bs9QGfXNgYOHcCx3TZqPh+JuiYCsXo0oxrbTpBPh0kNqYArzpqukEgIIiJNMNONr3sXxr6N+JPd4wLvVMbINCToq9HYGy+xOTTMrnieVBAQgoQWolULM8OymZFLMWO0l5ZSkWbLwi8lBT1Br97IAVnP1mINWwrVHJB1HJC1lISPxkSAWVWuyLviHqKlIkhjPOBNjfSYNhwVQj50/fUM/vJanGQStbKS6PnvIHbBu/AvWvgnP1LvG93HY4ce47FDj7F1yH05pjXWyqmNp3Jyw8kcV3scAS3wyjtnh2DPI7DrIdj3FJSn3VE5G1rPcEW95WQIT3w71HYkmztHeWb3IC/uH2L9wVHyputXbqkIjov60uY4s2vCqIpgb77Ii6NZVo1meDGZpaPgvk2pCpgb9LM0GmRpJMjSaJBZ6gjZ9HrSqS2kUptJZ7Zi2+6gp6qGiEQWEokswu9vo5CvZHjYR2/vMD09PfT394+LeyAQoLa2lqpEJRV6lIQVIpY1UPstzP4c2OXfiaag1QSwgzY50owW+ugbPkhX9w4yI4Pj5+0LhojVNOEL14BIYBbD5NJBivnQ+Ic6FFUQDUsiSpZgvg//4H58B7bgH+lAs90bihMKkK+LMVhp0Bkz2R3OsDecozcBySAIoVCrBZmBwQzTpCWbZEZmmGbLpN6yCUpJyqilT63ngFPFznyCvVYVHbKaDlnDgIhTGw3SnAjSVBGgpcKNN1cEaa4IUBvxT1n+2MPjSHJUCDmAUyqRffppkvf+gcwTTyBNE62hnsjZbyFyzlsILluG0PX/vSJcf/rjhx7niY4nWN+3npJTQld0jqs9jpPqT+KE+hOYVzEPTXmFnr/jQN9LsP8p98tFB5+HkuvOIDELmldA0/GurVkIqluHaTts606x5sAwaw4Ms/bACENZV6h9msKChijHNMZY3BTnmKYYbdVhBk2LjekcG1O5cTtiuTcDnyKYE/QzP+xnfijA/JDBTLUfX/4lUuktpFNbSGe24zhjPW2FQKCFcHgewUA7llXLaDJMf59Nf/8QAwMDFIvF8dMMh8PUVFdTGUqQUCJEiz7CaQ1jUOKkShPXQxEoCQMn6JATGUYL/QyMHKKndzfJVN94MaEohBPV+CPVaEYljoxRKkTIpQNAGFEemPb5IKQVCTop/Jk+fEOHMHp2E8j14ysmEUicgI9sbYShSoOuqM3+YIaOYJ6BmGAgBkVDUKH4aUClwbJpLGRpyCVpsCwaLYt6y8ZAY1ivpZsa9llV7CpV0OlU0yMr6JGVjKoV1CYiNMT91EUDNMT91McC1Mf81JfjUb/m+eY9/iocNUI+GTuZJP3oo6Qfe5zsc88hi0WUaJTw6acTOvlkQiediF5f/yfVlbfyrO9bz6ruVTzf8zy7R3YDENACHFN1DMfWHsuxNceypHrJK89Vt03oWg8dL7qhc437pR5wv6nZcCzUL4H6Y1x/e9UcUDWklBwYyrG5c5QtnUk2dyV5qStJruQKddBQmVM7MWPDtWGymmBDKsemdI4d2QLbMnn6StZ4cyp1jQVlcW8L6rSoSWrt/fgK28nmdpLJ7CSfPwhl14YQOoHADILBmWhqI6VSgkwmxPCwTl9fjoGBQUxzwheu6zqVFRXEgzHiWpioEySSNwgnVbQRG+FMEjZDgbDA1E1yMk0yP8BQspPe/n2k84PIsTYoKoFIAiNYgarHQUYwSyEK+SBCREG4g8eKAiGfSVBm8OeHMEa60QYO4s8P4S8M4ysmUaSFGfaTqQwwFFPpiZgcCObojdgMxgRDEUgHIaH6aZAqNZZJTSFLbTFHrW1Ra9nUWDbVtoOpJBgQlXTZCQ6Y8bLIV9ArK+imkrReRVUsQkM8QF3UT33Z1kR81ER9VEd8VIV96N53Uz3+TI5KIZ+Mk8uRee45Mo8+RuaZZ7CHXbeHMWsWoZNOJHjiiQSPOw6tqupPqm8gN8C6vnWs71/Pxv6N7BzZiSMdFKHQHm9nQeWC8TA3MffwpQKkhNFDrqB3vAhd69wld61yz1jzQ82CCWGvmQ9VcyFUie1I9g1k2NyZZEtXkh29KXb2phnJTQhpVdhgblnc28oDfPGYn0HVYWe2yLZsnu2ZAjuzefLOxN84oiq0Bf20B33M8qs0qUPU2gepsHZDYTe5/AFyuYNIOdHb1rQowcAsVK0O205QLEbIpP2MjCgMDNiMjKSY/Dvy+XzEwlGivjARNUjE8RMqGQSzGoGkgs9WEWX/OQrIgMDSLYoiT9ZMksoNMJzsYTjZTc5KYZXboqg6/kgFui+GEBFsJ4hlBrHMAEKEEUoEhB8hBH7NIkAOv5nEyPRjDHfiywxglFIYxSS+UhIhbPJxP8moxnBI0hss0Rc0GY7AcBiGI4KRMOh+nVqpuOJezFFbKlBt21TaNlVl65NhssTpc2J0W1H6ZYwBGWdAxhggzoCMYwWq8UUqqY76qY74qImMWd+4rYr4iPi8Hr7HK3PUC/lkpONQ3L2b7KpVZFetIrdmLTLn+o315mYCxy4lsHQpwWOPxTd79p80aJopZdg8sJn1/et5afAltg1tY6ToLiOrCpXWeCvzK+YzJzGH9ng7bfE2aoO1U/9B2hYM7Yaeze7XjXo2ubaQnCgTrILquW6omjsel+FaBrImO3vT7OxNs6tvzGbGfe4AAV1lZlWIWVVBZlWFmFkZIhT1UfIrDAiHffkSe3MF9uaKdBUnbgwAFbpKi99Hs1+jQStSq4xQLbtJWHuIFLdhFQ5SLPYgpT1pLwWfrx5Nq0XKSsxSlFwuQCajMTIqGBq0KRSm/sYM3SAWihA1woTwE3QMAiWNQF7Dn1MI2T4MtHGxlzrYhk1RKZAzU+SKSZLZAZLpAfJWmrydoWhnkUgUVcMIxtH0KEIJ48gQZsmPdAJuj14JIkQIhA9ddfCTx2dlMPIj6OkBjMwgRskVeqOUwiilkJpFNqaTDAmGAzb9vhLJEBMhKEiGwAoqhHRBpe1QaRaotMxxoa+yHSptm5gtEDJCxonRa8cYcKKMEGFIRso2SlqJ4gQqIFhFIByjIuynMmSQCBpUhA0qQwYVk0IiaHgfAHmT8KYS8pcjSyXyL20lv2ED+Y0byW3cgD3gDswJvx/f3Dn4583HP38e/nnz8M2dixJ4lQHPsTqlpDfby7bhbWwbcsP2oe0MFYbGy4T1MK3xVtrj7bTGWmmNtTIjOoP6cD26oo9VBMlOd3bM4E4Y2AEDu1xbGJ04oOaHxEzX/14xa9w68Zn0qTXsHzbZN5hlfzkcGMxyaDiHNak3bmgKTfEAjYkATYkANTE/elDHCijkDYVhRdJRMDlYKNJZMDEn/TYUoM6nU29o1Og21UqWSjFK3OklZncRsfYQKOxAmj2HXStVjaBpVUACy4pQKgbJ5gxSKZVUUiGVAtP0lY9SPl1VI+wPEdYDBIWfkGMQKOn4Cyr+oopfGgSkgQ8dpTz3xdEdLLVEUebJmWkyhWFSmUHyZoaik6No5yjYOUpOHqFoaL4wqhZCKCGkDGBbfqQMlsU+CEoAIQIIYeAXFoadQy+l0fKj6LkRdDODUUpjmBl0M4NeSqOQoxiwSAclw0GHIb9FOgjpgCAdgEzAjef9oPkEus8mIi3itk3Ctok5DgnbIW7bxB2HiC1QZQDLCpO1wowSHRf9YRlhVIZJiRCOEUME4yjBCrRgnEgwSDSgEw/qxCbZWMCYsu25e6YXb2ohfzlSSsyubvIbNlB4aQuF7Tso7NiBU17bBEXBmDEDX3s7RmsrvtZZGK1tGLNmoYb/yFouwHBhmL2je9k7upc9o3vYl9zH3tG940vEgtuDbwg30BxppjnSTEukhZZoC82RZupD9QT1oCvw2QFX0Ad3wfB+GDlQtvvdL/uMIRSINrohNmabsSIN9FHJ/lKc/Tk/nckCnSN5OkfydI3kGMyUprRdVwU1ET+1UR81UT+RkI4W0HB8KgVdkNYgqUK/Y9NVNMnZzmHnX62r1OpQrZVIKDlipIjKQSJ2HyG7i4B5kKC5jyBZpvYhFVQ1hhAxHCeMZQUpFX3k8zrZrEoyBcWCQakUmCL6AkHA8BPU/AQUHwFp4Ld1/KUJwfdLHR86fqlj4D59OaqDqZQoOQUKVoZcKUU2P0rBylKwcxSdHCW7QMlxA6qKogURSgDw4zg+pPQjRKAs+H4QAYQSQBE+DMBwSmjFDFohhVbKoFs5NCuHbmbLNodu5XCUPCW9QE7PkfLZpAOMh0xAkPFDzu8O3io+UDQbXbcxNIeodIg6DpFyiDoOEdvB72gI24djB7CdIKYdIkOYpAy5AdcWtQiOL4oIxFD9UfRgDF8oSjjgJ+zTiPjHgv6K20FD9dxAf0WOCiFf99ABDm4ZorIpTFVTmMqmMJUNYXTfn/+yh5QSq7ubwvbt48Je2reP0qFD46+hA2i1tRitszBaZqA3NWI0N6M3NqE3NaLG46/6ox4uDLM/uZ+OdAeHUodcmz5ER6qDtJmeUjbmi1EXrKM+VE9tqJb6UD31oXrqQm5aVaASPTfiCvqYsI8chFSX27tPdYE9VaTR/O5892gjhGshXIsZqGZYxOl1onSYUfYXQhzI+elNl+hLFelLFkgXLV5O2KdRE/URDxoEAxq6X0P4FGxdoagJ0iokFcmoIhmWDs4rXBNDQJUuSagmCaVAXGSIyBQhOULQGSBg9eG3ugnJIcKkCZNBZeLGIUQICCNlEMvyY5o+SiWdfF4lnxMUChqW5cM03WBZPhzHddf4NAO/auDHwIeGz9YxLBWfqeJDxyd1/GXrQ8OQGhoqjmJh4Yp/0cqTL2Uomtmy2OenCH/JKWBhYwuBIzTAQEoDKX0I4QPF71pR3hZ+BAYaCrp00EsmuplDs/JoVgHNyqPartXKVrELOEqBklqgqObJa3nyRomcH3I+N2T9omxdF5WiOWiag6Y7qJrEUB2CiiTkOIScspUOuq0iHAPhGO5Ny/aXbwhB8gRJEyAjA2QJYukhbD2C9EUQ5aAHIujBCH5/iLBfJ+jTCBnqhDU0Qj6V4Fjc0Aj6VO8J4X/hqBDyl57uYtfqXgY7M5iFsrgKiNcEqWgIEa8JEq8NuLYuiD+k/9m9BVkqUerspLh3L6V9+ynt20dx3z7Mjg7s0dEpZZVQCL2pyQ0NDei1NWg1NWg1tWi1Neg1NSihqT16KSXJYtIV9XQHPdkeerO99GZ7x+OpUuqwdiV8CSoDlVQHqqkKVFEVqJrY9ldQhUplqUA0N4JIdUOywxX4VLe7aFimb2qvfgyhuouIhWtcsfdXkFWjJEWUERmmzwrTUwrQWQzSUfBxKO+nLycZyZV4pZ+SqgjiQZ1o0MDvV9EMFcVQcTSBpQuKqiCrSNICUkJiaQJ0xZ00/7K/XURxiKoWUVEgIvJEyBAmRVCO4rdH8DlD+J1hguQIkp1i3ZuAAQRwHD+27cO2DcySRqmkUiyqFEsqtqVjWYYbbB17LG7pqPgxFNedY6CiOxqGraLbKkZZ8F/J6nLc+YN0TIp2gZKZx3SKk0IJ0yliyclxCxOJJSW2FJhSQWCAMBDCtQi9fCPQ3TR0NClQHQfNstFtG922UO0iml1CtYuo49YNyCK2KGEpRUy1SEktUtJKFLUieb1E0XDI+6CgC/IGmIYEXSI1UDUHTXVQVYmmSXTFQdMkfiQBJH5HokoV1VERjo6QOtIxkOUbhC19WLYfSwYoSD8lEcTSAjhaEEcLIo0Q6CGEEUT4wmj+EJovhM8fxOcPEDA0/LqCX1cJ6KprjbH41HS/rk77sYSjQsjHkFKSHiow2JlhsDPDUGeG4Z4sqYE8ziSfsC+oEa8NEq30E6n0E064NlLhBiPw562sZ2cymF1dmJ2dmJ2dlDon4mZPD075NfnJKOEwWm2tK/LVNahVlWgVFaiJCrTKCtSKCne7omLcT581s1PEfSA3wGB+0A2FQQZzbrzklA47niY0or4oCV+CmC9Gwp8g7ou7QQsQl4K47RC3SsRLeeKFDOHcMFp20F1/JjfsvvhUOvxcxjEiyGAFli9B0YiRVyJkRIgUIUYdP8NWgAHTz4Dpo6/kp7dk0JXXGbYD5PEBh//j0lRByK/h92nohoqiK6ApSFVgqYKSCgUF8kJSUAVoAqkqrh27EUy6GQSETUiYhJQiIQplkc/gl2n8TgqfTOGTGfwU8JMv26lxnyzikwKkjmMb2I6GZWmYpoJpqliWeyOwHc21to5ta1OstA2EE0B1fKi2D11qaI6CLlU0NHSpoqOWt90bhDaWhorilK+WY4Nj4VgmSBvbMbGlieWYWNLEckovsyY2DpaUWI6DjcCWwrXluBA6lINAG48rUqA4EtUB1XFQpURzbFTbRrMdVMdGdSw020RxTFS7BNJEUsIWJrZSwlZMLKWEpZiYqklJK1FSTEytREE3Kek2pgaODlKVoLlBVSSKKlFViaK4VlMcNFWiCUBRUISCIlUUR0WRGtLRQOpIR0dKDUf6cBwD2/HhCL/79KMEkaofRw3gaH6EHkBqfveGoQdQjACaEUAz/GiGH93nxg3dwKcr+DQFn6a6Vp8U19Qp+YamvK43j6NKyF8Nx3ZIDRUY7cuR7M8z2pdjpC9HeihPZqSIY089V19QI5zwE4oZBKMGwZhBMOor27E0H4b/tfkBnWwWs68fq78Pq6+vHO934/19WP0D2ENDyNLhAgwggkG0RAK1ogK1IoEai6FGY6jRKGosihJxrRqNIqJRCgGFYcNkWGYYLAwxkBtgtDjKSHGEZDHJSGGE0eLoeLCcw90mYwS0ABE9QtgIEzEihLUQUdUgjEoYhaiUhG2biGUSsYqEizlCxQzBfIpAMe3aQhLhmK96DACpaNh6BMuIUtTCFESQvPCTJUBW+kg7PpK2j5TtY9Q2GLYMhksGI7ZOVgbI4icnfWTcyYaYTNycFQGGoaLrKqqmIDRX3KUqsFWBpYCpCEwB1pjwl/PduHvjcG8SE2l+1SQgLPyiRIACPvL4ZR4fWQyZxZB5DEr4KGFQxChbH8VJ2yUMWUKXNoZ0JgmjjbQEtq1gOxqOo2LbGo6j4diqm2aX08tpjqMhHR1h6wjHAMtAcQxUR0exXatJHQ0VVapoKGioaJPiqlRQpEBIiZAOSIlwbKR0kNIB2wFpIaWNdGwcaeI4Npa0sKWJLS1s6ZSDxEFiS8pWIBHYgCMFDsK1QmBLBYSGYOz4oEoQDqhSopSD6sjyzcRGSAfNcVAce3xbYoKwcTBxhIWtWDhY2IqJrdhYiomlWFiqhaWamKqb56gWUjWRionQHKTqDjkJRY4HRZUoAlRVundRRSAUAYqCVBQQClJRkUJDOCpSaiA1pFSR0nB9WkJ33WgYnPy2T3HislP+z3oCry7kR9Viz4qquG6VmsO/8C4dSS5VIj1ccMNQgcxwgfRIkVyyyHBPllyqdJjYA6i6gj+kl4OGP6TjK2/7ytv+SduGX8MIaOiBIL7WWfhaX33VRSklTjaLPTyMPTyMNW5HsIeGsEaGsYdHsAYGKO3Zi51O46TTvKIfo0xY14lFo8yJRFBCoUmhCiU0w40Hg1gBnbwBeUOS0R1SqklaN0mpJkm1REopMEqelJUhWUrRaaZJl9xgvppA+8ohGkQQIqAFCKp+gqpBUDEICpWAUAkiCEoIOg5B2yZoWwStEn67iM9K4TeL+KwiEStHtZnH50j8UuJD4tclPk3ik5KXe1QdoWFqQUzFjyl8FIUrnwUM8pZB3jTISZ2sY5B1dNKOTsbSyEpXYvPS55Yt71OQ5X3xUZIaJXSKaNiqQU71kVVVhBoCJYxUa3AUcITAUcBWBFIp3wDKVipMbCvlG8R4nhtXFQddszAUC0MxMUQJXSmiixK6UnK3sdApoWOijcddq1HCIIuGOZEmLTRpo0obzbFRHAdVujcPVyQdVMdBsR0UB5AC6ag4joLjqOX45KCAoyEcDSHLwVZd62goY9bR0aVrhaOhOTpCaqiO7rpcUBCAkLg3DynLFoSUSBzXSsd9m1pOBMex3W/JOg5SWiCl++8JiSbdV90cKXHADeNpIIXAke6NRZoSRyi4Lz9LpCPL1gHpTmcWgFJuk5ASRYIiHRQpEY4cjzNxNDdIGykcHGEDDrZi0Z9YCa9RyF+No0rI/xhCEYTiPkJxH3WtsVcsI6WkmLPIJUvkUkVyqZIbkiUKWXM8DPfmKJbjryT8k9F9KoZfdYXdr43HDb86Ifg+13es+2rQovVoVSqaoaAbKj6jHC+X0QwFBYmTyWCnUtjJFE4qORFPu9ZOlePZrPtk0NuLU4472SyyMGlxLCBaDq947XQdEQig+P0Ivx/FHwe/D8fQsA0Ny1AxDQVLE5iGQlGHogYFzaGgOeQVm7ywyAuLnDDJiRIZUaKHImkKpGWBgmpjqmCpYGpgBkAqOhArh1fGJzR8ioZfqPhQ8CHwA34p3HuKIzGkg+Hk0Z0sumNhODaGbaLbFoZdotJxqJcSHYkhwZASvRwMOSmNqWm6lKhSQdhuj9i2dcyypJakRhGdgtQpSpWC1Ck4KsVJeaVyKKJRkq4Eu7KsYqJhShULDRO1nKaW8zUsRcMSGgUlhCk0TKFiKholRccUKpaiU1I0TEXHUtRy71G4f2xl7EYCCIEUE/GxHidCoggHVXXcHqlioQrHDYqNKmxUYaGV45qwURUbTVhuUEz0clxXLDSRd7exULFdK20UaaMxdmNxUHAmCeOEcLppbq8cybiACmeSuI7FHVAdV3gVB1QpUKQCjoqQKkIqIFUUqaA6Kkg3CKmU88thvLyOkCrYCkIqSEe4dTgqQgpwBEgFHDH+RvPYDckNuGMk5RtSKBf/o5rxWnhdhFwIcR7wI0AFrpNS/sfrUe9fGyHEeM+6ouGPTzOE8jTGok0ha1LMWuNCbxZsSgWLUt6iNB63MQsWpYJFLlWakscfvxcchqKKcVHXDBVNV9H0SlStGkVTUA0FrV5BbRaomoKiK6iagqYpqLqCqrmvuSuOheKYCKuEYpsIs4gwC4hSAYp5RKkEVhFRKkKpgCzmkaUispiDQgFZyKKk8uiFJEY+hyzkkfk8TqHg9p7+TKSqgK4hdR2pqzi6iqOp2LqCrSrYmsBWwVLGgsRSJKYiMYXjWkViCompCEoCTKFQEpBWwBQqtuLDcv+NYitMxMv1TsQFlorb4x4Lws0fsyigCFckFSFRFBNFmG5cgCokKqBJieY4aNJBkxLdsSfSy1aXEn85rkrQyr1MrXwz0SSoTFhFuv/41PJTijaWJkG1JKAgpYJEAam4j/0oOONxFSkFoIIUOKjlcko5b7JVcMr7S0fDlV+FsiSXg4qFgi3VqdtCwRbujcmN6xRFuYzQsISChYojVKxyWRvVdcMIBUcoZTuRJoVaThPYQsVBTCozto/7d3HKNy0pBFK4lrIWC0WgCGdSkCjCnhR3b2SCSWUmx4VTPlMHUS7vXhnpXhUhUXB4pxL/s/9tvJw/W8iFu5Tdz4C3Ap3AGiHEvVLKbX9u3W90hBBur9qvQeVrq0NKiVVysEo2ZsnGKjpYpl3edtOt4qR4yXHLleNj1rYmglmwynGJbTpYloNjOePxP37jUIBgOfwRNCBcDuMXBBRFoKjloJRvGK47sfzjBkVIhCj3tMqPzq51yv7ZsnVsRNkHKhx7fIBPOA7CtspxN13YrtUcC61kE3QssC23nG2DbZbj1vhxBBIhbfdRvtxjcq37KE25XYfnl9PHy5T9ypRdA1Ps5HJOWTzkJCvHtx1F4gg3SBwcRWIjcRQHBwdbyHKag63Icnm3HkeAJWC8gzgp/vLt8bjiOgDcbbucZ+EoLytLuR5FvHI9Y0JI2YdcHmOWuH9zyvGxPKmUB2zLvwdj7JdXLosceziQ4xOXBBOTmBTccy4/OCDF2EOEW35iHznxkOH+ERh7+AB3/7G6VTH5H4WYNGHKbbSgLPq4DZFjJ0M5Pn6O7kWR5TLyZdsIweDsv/nj/7ZeA69Hj3wFsEdKuQ9ACHEbcCHwugv5M7/9NVufegyhKAhFQSlboajlxZSUV8ybnD613OF5QlHKPzLhrsQnKA90ugMcovxHE0KAUMp/8Ml55R+BUMYHSKfWKcr7lusUTBwH9/i8Qtmx/QEMXWDoQMg99qSsl03ZE4cn4X6xyHEkroZJbFsibTfNcSQ47scykGW3pHT9ho6rVe6+0h13kJPjY3lT8l3rlLcdxx0Ek+XZReNPn2PHKftKJ55M5XgelMVjrEfl6EipT5SfVG7y+f/p/F/LvxHrLN9AJpcu31Qmirjxcv+8XKOc2B3XRz320ZHJ9Y4fXTJpW06qfvKxx+p8WZvkpP0QL8t/eS+j/ENATGrj5P1fftypbZla/mX1lo047JiTz+1lbSpHp6ZLXl7sldLHjhMTI69wvD+P10PIG4GOSdudwAmvQ72HUdUyk9ZlK9zBDcfBmWQZ25ZT86Rj4zgOjm0hTfmKeXJ8P4mcPNhRHjwZUxUJ41/LGUsft1P244/kyfJv8893PbwZEGP/CeXw+J+YNl7L2I11LE2Ub75jaePbk/4/JW1qHRP5U1p6WNrUY03clMfLM6mzMOVYk+vgZftOXKFJOZPOZXLq4WUmt3EsT44rkVLuYbrdY1mua6pOiYkeNmMd6cNvMLJ8nPEe+SQJFJOOMbleOVbjxGkjx1v4CnIs5JT2yYnd3LrExLlNkX7By9Im1yOnpEsBCKecKimPxpbrceNjTyRyLB/3aUuU9xfC7QlFAn/kw/Cvkb/aYKcQ4irgKoCWlpbXVMf8U89k/qlnvo6tOvJMviHIcs9k7IbCJNGf6GjKqfsC0pZgSxzLBksibQcsB2lJpOW4+WPWdtNw3F445R40Dm6e47jWLh/fLt+8xvPllH3HpgNM3h4r43bRGb+xuc/x5R6TM3ZuL0+fFH+ljtKfck3L/9mugwJnzAo5ES+XccpBlv/RTU4/zApZbqIzKY+J/ZGTjvG/1TPpuJPaPB4vd3udcoqDgxAOUjig2GXxsHFH+9wgxVgZGyFkedsui44zJYgp226+KAuQGBcl+bI0yuUou0ymlhNlFw+Un5gUV4CdcX+0MuGbxp2lM57PhM96Yh83OKLslx+rY9I+rnX942PeaIfyfijjtjyMil32/zso7hRIObGPIwVSquUy5eNIZTzIsWmU0h0rcMpjCBP7umXGplhO3pblYyElH61yOPO1/bRflddDyLuA5knbTeW0KUgpfwn8Etx55K/Dcd/QSCmRJQdZtHAKNrJkI03HDeW4M55mu2Unx0s2zti26YwLtDQd11pj4lwW2b8EikCUp8dNsaqCUER50K/srxWutXWJLRxsJDZ2OV6eXyzKFhtLunJqSRtb2hNlyunO2HxkaeNI6aaX82xnLN99unKkPR4fy3uFvwhCOCiKjaI4CMV2B7KmbDsIxRU5pSx2QnH+ePorxRWJopQHyJSxfPmyulxBnxj8c60jFCwULKFhMTZQ585esdDK8z3ciYU25YHAsp0cnPJMl6l57oCkg4IlVWypYTkqltSwHAWnvG1LFdtxByodRy3nTQ22UxaxsoCNidVhN2JHjk8txJHj0yB1x0JzLHRZDo6FJi10abtlHDeuy7F092zGy+HWo5XPyN3PPWshTRRhAzZCWLivPDkownL/Rjgg3FehptzUsMtxCbg3QMnETdHtYbtP72NTI5WyG1GUn7jHOzBjnRhA2OXevZQIRxBc8qHX/Z/q6yHka4DZQohZuAJ+KXD561DvEUU6ElmwsHMWTs7EmWzzFrJo4xTKtmgjC1bZ2jhFN/3/1KMUIHQVYSgIQ0XoSjmoKEEdUX6hRagKQnPfYHTTFFdcx+KT0lEVpCIpSYuSY04Ey8RyLEx7UrBMTNvCssr5lkWpVMI0zfEwZbtgui6t13Z1EcJBVS00zUE3wNAlml5eB0Rz0FQbXbVRVRtVs1EVqyy6bnDF0E0TYuwfrAXCQggLMIExOxZ3/0HZaOUZ2DomRnnKoDEeNzEolG1pPO3l22Ur/Jj4MPFhCXfWtoWOPT6LW8V0VCzHFUvLUbBtgWm709iw3elyjD3FOO60uvLbNBPbY2nj4jg538ZwLAynhCEtDMfEcEx80g26HMszCcgCPmliSLd1hnBbbLhnUE4zMZhI14WJIiwUYSKE6V5fxUYK93YtxdhcaXe+tFO+sbtPJ2762ICsKcAUAksK9xQdgbTL1hFIuxwcUX66E8ixKdlO2Y9juwOIjD1Q2LjTAMsvTmmOhiJVVFtDkxrq2LajoUoVxdFQpOG+DVqehqiMTTmkPA1xbNYO7gs/5fmZ5SeF8hOAMvbEIMYHf53xpwrGnz4mBpTd31911f8ykeA18GcLuZTSEkJ8FliJOwPqBinl1j+7ZX8BpOlgp0vY6RJO2bpx07WTBTv/x6cFCkNF+FUUn4rwayg+FT1ijMfdPG2izJg4T7LKmFgbKqgT/tfJmKZJPp9/WciSy+UoFotuyBUn4pNCoVDAsl797c2Xo6oquq6j6zqGYUyK60QiGrruQ9dtdN1C0yxUzUQRJRSlhFCKKKIEoggU3CBzSFlAUkTKIo5TGA9g/9G2mGgUCJAnSIYARXyYIoKphCmJEEURoiSClAhQFAGK+Cnho4j7Qk9x7GUeqVOQWnkut0ah/Cg81kOk7G4S9ph4Toq/YrpTflXdnbes2JOEd8wlZdsEnAJ+J03YLhCgSIAifuG+7enDxE8JvzDLrS7hx8QvSuVtc7zs2LYhSqhKCaGYoLg3LClKOMLGFjZFoVBQBUXhhnzZFpSJtIIQlITARGDbgpItKNm4wmkJsAXCEq4w2gLF1Ws0S6BboNugWxLNLsdtUC0d3THQHAPV1l3hlDqGo6PIcsC1AvfVfyE1EBpSaNiKiq24UwVtRcFRhLvQWDk+JpKTZ9+4Gu9MzP4Zd3LZIN0XbyRuj9wWDrbixqXqlPPdF4koPzcizfLv1d33f/tt/sm8inuwYc7fvj71T+J18ZFLKR8AHng96nrNbXAkTsbEGi1gjxSxRgrYo0XskQLWaBE7WUIWXkHUBCghHTVioIR09LgPJaijBLVXtGpQQ/g19xXd/2sbpaRQKJDJZMhmsq7NTthcLneYaP8xIRZC4Pf78fl84yEUClFRUTElzefzYRgahmGiaSaKWkAReRA5IIuUWRwng22nsawkppnEslJYZhLTSmHbr7zOypjrfOx3L4SGooQxtUoKShU5rY6ciJMXUfKEKIgQeQLkpY8cfnLSKAeNrKOSdVQyjiBjC8xXuok6EkoOouxWwpYIS6LZEsMBzZboDqi2dAW2PDYgrBI+y0GzHPymg2namKb7NKFjESZHWOSJkCdMnrDIE6ZAQLjrsgQoEhQFghSJqiYRpUhIuCEoigQo4JdFhCzgiCKWZpITCnkhyCmCnDIpLhTyiiAnJtIHFYWcEOQVhbxQsR2BNAVYAmGBUgLNkvhL4DMF/pKO39TxmQH8JYnPBL8JhgmGBZqlEHR0YpaBJn1ojg9VGij4UKQOGNiqgaP6sBU3bqsGjmJgK664WmOiqqhlcXU7wu40RHA0idQcLJ+FKU2Q5acfablvWeKuASOxynk2yHxZOO2JtD9FNP+X8RIhFISqoSgaijo5qCiahqpqKFoAVXPTVU1D1TVUTZ8a13U0XStbHdXQ0MbiultW0cr7a/qkeHl7yvHU8Ta4ZVVUVRufHfd6M+3e7HTyFuZADmsgjzWYxxrIYQ7ksYbyYL1sXD2goSV8aJUBfK0x1KiBGjZQylaNGq7bQv3zL6xpmqRSKZLJJKlUakp8TKiz2Sy2ffgPVwhBMBgcDxUVFQQCgVcNwWAQv9+PEDlMc4hSaZiSOYT5MlsqDWGaw5RKQ2Rzo/wxZ7qi+NG1GJoeRdNi+P2NOKFFpJVqMsRJEiUtQ2QIkJF+0o5BytFJ2QopWyFpw6hlk7Tsw1bQnYIt8duSgA0BR+Iv9+w0WxI3LeKWBLM8571kUyrZFIsW+aJNoTT12qnYRMkSE1niZImLDFGyVKh5KrUicbVATC0QK6+WGFZyBI0cAT2H38nhs7OoTpG8EGQUhYwiSCsKWUUhLYRrx7YVlT5NJ6PpZBSVjKqQEYKsgKIjkEUDX9EgWIRACQIFSbDIxHZxYttfgoQpCJgCv6mg2z50x4diGwhpYCt+bM2PpfqwtYBrVT+W5sdW/diqgaUa7gs0muq+HKW7Lzzly35dpIn7ub4SUpogywtZleOSEsgCyAzjAsyYIE+i3NH931BUHVU3UA0DTfehGQaqbqAZIVcMDQPdZ6AZvrJ108bL6cYkATXKAuqmufn6eFlV19Am7aOof/4y1tOdaSXkI3fvIfvCpC/QKKBVBNCqAvjnJNAq/KgJP1rch5rwofhev9OzbZvR0VFGRkYYHh5meHiYkZERkskkyWSSfD5/2D7BYJBoNEo4HKa2tpZQKEQ4HCYUCk2JB4NBlLH544BtFygWeykW+11b2kmx2Ec218fwSB+lYj/FUh+OUzzsmACaFsMwKtH1CoLBVuKx5ehGJYaeoKgkGJZxhmSYESfIiONnxNYYtiSDJYtB03Jt1nrFD0eAO60rpqlEVYWIFAQtaLQlM02BaqlQtHFKNmbRpliwyBUs0nmTVM4c/6h0vhxcJFFyVIoUTUaWJiNLrZ6jSs1RqeWI6xmi4SwRJ0PQSROwUhhmEt2aeFIoAUlVIamoJBXFjasaI0aAA7qfpGaQVFU3iDApgqRkgqy0kNIhWIBwAUIFCOeka8dCXhIvabQUVcKm4opzUWIUHLSSAk4QUw9iae4SrKY2Fg9i6oHxdNsIYoeDWIrBqKIwhMTCdgVXFl2Ble6yshO2VLZDCEqAK8bSKQGO6/r/X71noiygAXS/H8MfQPfHMAIBjIAfw+9HM3xoPh+6z1cuO8n6fOjGJPvydMOYeP/B44gwrYTcP6/C7WFXBdGqA2gVfndQ73Ukl8vR39/PwMAA/f39DA0NMTIywujo6JSXTTRNI5FIEI/HaWxsJBaLEY1Gx200GkXX9Vc8huMUKRS6yed3kUx20tvXSSHfSb7QRaHQQak0eNg+iuLH56vF56sjGlvixo1aDKMKw6hE0ytIEqfXDtJXkvSWTHqLbujJm/QlTXqKJtkp4lwEimgCqnSdKkOjUteYEdYJWuAzHZSigyy6ywvkcxapbImRbImBdJHBTJH+V1lrJmZI2gI5ZvtTNBsZ6uIZqitTVJAm7owSskcJmCP4isNoheEpqyRKE/KWYEhVGNZ8DAci9PhDDOsBhjQfw2otw6KGERxGpUnKKZIv7684kkgeojmIZiXRfojnoboIDQVBrCiIFBSCeQV/Dnw5By1n4gidkh7B1EOYergcyvFADNsfxYqFSWlBhlR/edBT4jhuz1bKgus6cArj21LmESKFYAAoIp0iTrFYFuE/jqobGIEgvmAIfyiEL1SBLxBE9wcwApMFOYDh9x+W7ub5MQIBNMPnfcXnKOeoWsb2/4Jt2wwMDNDd3U1vb++4eGez2fEyhmFQVVVFRUUFiUSCioqK8XgkEvmj/zikdCgUusnl9pHL7SOb21+O76dY7GWy008IDb+vAX+giYC/Cb+/Eb+/HsNXOy7YqhpmyLLpyJc4VCjR8bLQWShRcKb+LQ0hqPXp1Bm6+71Nn06NoRG2QSnYWHmLbKbESKpIT7JA92iertECg5nDe/pCQEXQoCas0x7O02qkaTaS1ItRKuUQcWuIUGkQf6EfLdeHyA7ycsemDYz4I/SHKxjwR+nzBRnQdQZUhX4chqXJsFNg2MxQnCTsmiWJZyGRgbqcQUMxQE3BIJFXieYhlLEIZEyMVAE1k0dIia3olIzoeCgaUexIFWYogeWPUdLDmGqAkvBTcnT326Yyj3TySJkFJ4eUeZA5FLWAEAW3Z+zkcew8tpln6keop6L7AwTCEfyRCP5QGF8whC8UwhcMYgRC7nYwWE5zgxEMjqer2it3Ajze3Lwp1iN/NaSUDAwM0NXVRXd397h4j/mrDcOgurqa6upqampqxuOxWOx/7clIKSmW+sikt5PJ7CCT2UE2u5tc/sAU14emRQgGWwkGZxEIzCgLdhOBQBM+Xy3ukjWQsWz25ovsyxXZkyuwL1dkb67I3nzxZb1p96v3zX5jPLQEfDT5dCoUlVLGJJkqcGg4x4GhHIeGcnSM5OgZLVB6WT0BXaUh7qchHqA5ptPuTzJDHaZO9lNl9RMpduPPdqOMfWXoMCe4wA7XMBCpoSeUoNsfpFvX6VNgQNoM2Dn6SkmGiqPYk8RPOJJEVtBaiNBSDFOX91GVU4ilJJG0SWA0jz6SQUm5N1cJWFqQoi9O0RfHStRhRmswg5WUfDGKWpgifgq27k7vk05ZnDNukFlUNY+iFBAij5R5HDuLXcpglV7ha0mAomoEY7GyKEfxh8MEwq6dsh2JuGXCEfzhsCfEHn8R3lRCbts2PT09HDp0iIMHD3Lo0KFxH7ZhGNTX19PQ0DAeEonEFB/1qyGlQy53gFRqE+n0S2QyO0hndmBZo+Nl/P5GQqE5hMqiHQy2Egy1YeiVU24KOdthZ7bA9mye7Zk82zMFducK9JUmHJ4CaPYbtAV9tAV9zAz4mOE3aA4YNOg6Q6kiu/vS7O7PsG8gy6HhLAeGcgykp/ao40GdGZUhmhMBGhMBWiLQqgzQKLupLnXhTx1ADO9zv/2Z7ilPzZpEuA4n3kRfpJaOUIwuw0+PIul2ivSYaboLQ/Tmeg/7UEUVEWYX48wshKjPGNSkBPFRk9BwDmMghegfGv8eqivSAYrBKszqFsyKJkrhGgr+OAU1Qt7xky+qWPbY36I4LtCqmkPT8wglBzKDY2WwiilK+dQrLoXgD4UJxOKEYnGC0RiBsg3F4wSjcQKxGMFonGAshi8Y8twSHm8YjnohHxkZYc+ePezZs4f9+/dTKn91J5FIMGPGDFpaWmhubqaysvJPEm0A0xwhmdxIMrWRVGoTqdQmLMv9fqai+AmH5xIOzyuH+YRDc9H1w1f1HiiZbEzl2JTOl4W7wP58cdzxEFAU5of9zA76aS+LdmvQx0y/D10I9g9m2dWXZndfht39afb0Z9g3mKVkTYhUbdTHjMoQMyqCzKwK0ZII0B7I0GIdIJTcDYO7YHifG1Ive/E2VA0VbTiJmfRHqjnk83NQFRxyChwsjdCR6aIj3UHRnrhBCATV/iraqGZOLkJz0qB2xCE2WCDQO4ro7sMZGZ1yGFsPUGqcjVnTSjHeSD5YTV6NkrV8ZHMCszzn0F22IA8yhe7Po+tZhMjg2Cms4ijF7DBm8fAetD8UJlxRSShRQThRSbiiknCiYtyGEhUEYzGvt+wxbTnqhNxxHDo6Oti+fTu7d+9maGgIgHg8Tnt7OzNnzqSlpYVo9NU+l3A4pjnK6OhqhkdeYHTkBTLZneUchXB4DtHoEmLRpUSjSwiF2sfdIZPJWjab0nk2pHNsTOXYkM7SWXD9vQKYFfAxP+xnfijAgrCfBeEALX4DRQiKls3uvgwvdSXZ2p1ia3eSHb3p8ZkeQkBTIsDsmgiza8K014SZXRuhPZgjnNwF/TugfxsM7HDjxeREw4KVUNEGlW3YiVl0hhPs0RT2Ojn2ZDrZO7qXQ6lDFOyJD04YikFzpJlWXyPz0hFmDqtU9xUI9aVQuwewDnXg5CYJqqIgGmZQbJlPoaqVXLCWnOIKdSYL+eyEW0VKG03L4g9l0fQ0yFGs4gjF3DD59BC2OdV9YwQCRKtqiFaXQ1UNkcqqskhXEqqoQDd8f/Lf2sNjOnJUCLnjOBw6dIht27axbds2MpkMqqoyc+ZMZs+eTXt7O5WVlX/yo7DjmCST6xkceoLh4efIZLYDEkXxE48tI5E4kVhsGZHIIjTtlT80MWJarE5meX40wwujGbak8+OztVv8BkujQY6NBFkaDXJMOEBIc8VfSsn+wSzrD42y/tAIGw+Nsqsv7Q66AWGfxoL6KAsaoixsiDK/PkpbVYhAsR96Nrmhe6Nr090TDQpUQM18qJ4HNfMZijeyXYUduW72ju5lz+ge9if3T+ldN4QaaIu3MVtvZPaIj/pBh0RPBu1QD6W9+zC7J9WvaehNTVgz5lOobiMXrierJUiXfCRHHXKpyQIsCcVKGP40qppEOiOY+WFy6QGyIwPjK0mCOziYqGsgVlNLtLqaaHXthHBX1eALeS4OD4+jQsjvvvtuNm7ciKZptLe38//bu+/4qKr8/+OvM+k9mfReSEIKCQFiKAIiSBHFulZcXMW6oO6q+NV1/a3r92vfta27uCyggLKwFpqKCKH3XlOAACG9TTLJTDLJlPP7Y8bQ10IJE87z8eBhZu6dzLlz8M2Zcz/33MzMTFJSUvD09PzJv8NsbqS+fjX1DSvR6dZhsbQghJsjuAcSFDQAf/9sNBr3s77eaLWyodHAal0Lm5oMFBrtI1gPjaCvvzcDAnzJDfCht583Ie4nqjvbLVZ2HW9iR2kjO0sb2VXWhM5oDz0/D1dy4gLpFR1Ar6gAMqP8idN6ozEboHw7lG2F8m320DbWOn6jgJBUiMqByN7IsExq/EIoNNVSqCuisKGQAl0Bta21nW2I8ImgR2APkv170NMSQmItaMuasR0swVRYiLm8vHNf4eGBe1ISIimNtohUDL7RNMsAmpoFDVWtWNpPjK7dvVzwDWrHw7MZIRqxmOppba5GX1uJ2dR20n5eBEZEERQRRWBEFIERkY6fI/EOCFRBrSg/olsEeWlpKS0tLaSkpODh8dO/RpvNeurqvqem9hsaGzcipRV391CCg4cREnwtWu3VuLr6nvW1UkqKW02samhhla6ZzU1GOqTESyPIC/BlQKAPAwN9yfHzxtPlxNy7xWpjX4WejSUNbCppYNsxHe2OOe0eoT70jQuib3wQ/eKDSA71td+tpKnUHtplW+D4Fqg94DjxKOyj7Kg+ENkbInMwhSRzoOUYu2t3s7tuN3vr9qIz6QDQCA2J/omkB6eTrk0nwxpO7PE2KDiEqaCA9sJCrHrHtIsQuMfH456Whq1HFi0BCTTJIBr1goZKI8amEyN3Dx9XtBFueHrrgXraDVW01JfRWF2OpePESNw3SIs2Jo7gmFhCYuLRRsegjY7Fy89fhbWinIduEeQ/h83WTl3dCqqqF6DTrUdKM16ecYSFjyUsdDR+fr3sd+Y522ulZGdzK1/XNfFtnZ7jJntI9fTx5FqtH8O1/uQF+JwS3ADVehMri2pZWVTL5iMNGNrtVRxpEX4M7BHM1T1CyE0IItDbMdpvqYGja+HoajiyFvTH7c+7+0FMLsT2h9g8iMmlXprZXrOdPbV72F27myJdERbH5dQJ/glkh2bTK6QX6V6JxFWYkQXFtO3ZQ9uevVhq7aNy4eaGR8+eeKanY03KwBCYSJMtkLrKNmpLWzAZHBfVuAiCIn0IDBW4uNVhM9fSqq9AV1FKU00VPyyO7uXnT2hCEqFx8QTHxBMcE4s2OhZPn7P/o6goyvm5YoLcYDhIZdV/qK5eiNnciIdHJOHhNxAedgN+flnnHBFKKdmqN7Kotoml9Xqq2s24CcHQID+uDw3gWq0f0Z6nTrfYbJI95U2sLKolv7CWgip7RUtMkBdDU0MZ1COYAUnBhPg6vj2YTXBsHRxeAUfWQF2h/XnPAEgYAonXQPxACMug2WJke/V2tlZvZUvVFg43HQbAy9WLzOBMcsJyyAnNoZdnEu4HSmjdto3WrdswFRR0lvS5xcXhlZ2NR3ZvTDEZ6Gxaqo8ZqCrRY2i0j7SFRqCN9CEk1gsvn2as5kpa6kupLimmqfrEcggB4RGExScRlpBEaEISYYlJ+Ab99PMRiqKcv24d5FJaqatbzvGymej1OxDCjdDQkURF3olWO+is1SU/KG1r5/PqRj6v1lFq6sBTIxiu9eeG0ABGhgTg73rqa202ya6yRr7eW8W3+6qoaW5HIyA3Xsvw9DBGpIWRHOZ7IuBaauDQMji4DEpWgdkIrl4QNwCSrrGHd2RvrMC++n2sLV/LxsqNFOoKsUkbni6e9A3vS15EHnkReaR6xtGxfSetW7fRunUrpsJC+zKEbm54ZWfjnZuLe3ZvmgN7UFtjo6qkieoSPR0me7j7BHoQlRyANsoVaaukpf4INSXF1B4tweKoFPEJ0hKZ3JPIlJ5EJqcSmpCkRtmKchnolkFusRipqvqCsrJPaDMdx9MzlpiY+4iMuBV393Pf1r7dZuPr2ibmVDawWW9EAIODfLkjQssNIQGdlSU/kFJyoLKZRbsr+GZvFZV6E+6uGoalhjI2K5JhPUNPTJcANB2HAwugYBFU7LA/5x8DqaOh5/X20bebJ/p2PRsrN7K2fC3rK9bT1N6Ei3Chd2hvBkQOIC8yj17BveDocQxr12FYv4627TuQZjPC3d0e3Hl5eF2VS1tYChVHWykrbKTyUCOWDvt8vDbKh8jkQIKjXJDWCurLiikv3E9d6VGQEhc3N8ITk+2hnZJGZEpP/IJD1EhbUS5D3SrIrdZWysrnUFo6DYuliYCAvsTFTiQ0dOR/HX1XtXcwu6KBOZUN1JstJHq5c1eEll9FaInxPLNKpam1g4W7Kpi/vZzCqmbcXARDUkK5MTuSkRnh+HmedGFJcxUULIT9X9orTAAicyDtRug5BsJ7gRDoTDpWlK7g+9Lv2V69Hau0EuQRxODowQyNGcrAqIH4CS+MGzdiyF+JYf16LFX2KQ6PlBR8hgzBd8hgRM8syg62UHpAR3lxI22Osr/AcG9i07VEJvsiqKKiaA+le3ZSd/wYAK5u7kT1TCMmPYvYjCwiklNxdT97hY6iKJeXbhHkVquJiorPOFb6EWazjuDgYSQmTCIgoO9/fV2BoY0PSmv4uq4Jq4Trgv2ZGBPC0CA/NKeNPKWUbDmq49PNpXx/oIYOq42s6ADuzI1hXO+oU0feZhMUfQ07Z9tPWiIhPAt63QqZt4I2CQCdSUf+8XyWHVvGtupt2KSNBP8ERsaPZGjMULJCsqDVhHHdWlqWr8CwZg02oxGNry8+gwbhM2QwvkOGYMCPo3vrOba3nuoSPVKCl58bMWlaYtOD8A/uoPbYfo7t3kHZgX2Y201oXFyJTssgrldvYjJ6EdEjFddzrMqoKMrlrVsE+YEDT1Ndswht0NUkJf3uRwN8h97Ie6U1LG9oxtdFw31RwTwQHUK815mliyazlSV7Kpm54RiFVc0EertxS040d+bGkhF12tWhVXth1xzY+x8wNUFgHPS+F7J+BSEpAJitZtaWr2VhyULWl6/HIi3E+8czKn4UoxNGkxqUimxvx7BqFfolX2Ncvx7Z0YGLVovfiBH4jRqJd14e9dXtHN5ey5E9dehr7TXZwTG+JGaHEJ8VjM1cTcn2TRzatpnGSnsdeEB4BIk5/Ujo3Y/YzCzcPb1+9metKMrlp1sEucFQjNmsJygo77/ut7ellVdLqljT2EKQqwsPx4byYHQIgW5nLr/e1NrBJxuP8enmUuoNHfQM9+PBwQncnBONp9tJ0zRWMxQuhs1T7VMnLh6QPg76/hoShoJj/ZZiXTELDy/kmyPf0NjeSIhXCOOSxnFD0g2kBqWClLRu3YZ+8WJali3DZjTiGhaG35jR+I8ciVffvuiq2zi0vYbD22vR17Wh0Qii04JIzA4hNiOQ5toSDm3dxOFtmzDoGtC4uBCTkUWPfv1J7NOPoIion/3ZKopy+esWQf5jStvaefNoNV/VNKJ1c2FyXDj3RwWfcfISQGfsYMb6I8zaWIqh3cLwtDAmDk5kUI/TSupadbDjE9j6L/ul8NokyHsUsu8Eby0AZpuZFaUrmFs4l911u3HVuHJt7LXcknwLg6IG4apxxVxZSePnn6NfsBBLdTUab2/8Ro8m4KZxeOfl0WqwULSpiuItNTRWGREConsGkZIbTmLvEBqrjlC4fjXFm9bR1qzH1d2DhN59SMkbRFLfPDx9VVWJonR35wpyp7pD0LkYLVb+eqyG6eV1uAh4Kj6cSXFhZ5QOAuhbzUxdU8LsTcdoM1sZmxXJE8OTSYs4bfqkpRo2/g22zwRzKyQNgxvfhZRRnaPv+rZ6Pj/4OZ8Xf05dWx2xfrFMyZ3CTT1uItAzEGm1Yly3nsZ58zGsWQNS4jNkMGFTnsVv+HCkmwel+xoo/Gg/pQd0SJskMjmAoXen0qNvGCZDLYXrV7LpP2toqqnC1c2dpNz+pA0cQkJOX9w8fvrSBIqidF9OHeRSSr6t1/PSoQoq283cE6nlucQIIj3OrMJot1iZs6mUv608TLPJzLjsKJ4YnkxKuN+pO+orYMP79lG4zQJZd8DVT0F4RucuZS1lfLz/YxYeXojZZubq6Kt5Oe1lBkcPRiM0WFtaaPhsJo1z52KuqMAlJITgRx4m8Fd34B4TTXNDG5uXVlC0qYq2FjM+Ae70GRVH+sBIfIJcOLhpPYvefp/Kg4UgBHGZ2fS/7S5S8gbh4e19kT9VRVGcjdMGeYWpg+eKy8nXNZPh48m0zARyA85coVBKydL91byxtIjjulaGpITwh7HppEeeNgJv1cHat2HbdPv6Jr3vgSFPd1aeABxuPMyM/TNYenQpGqHhluRbmJAxgYSABADMVVXUzfmUpvnzsRmNeOflETZlCn7DrwU3NyoPNrH3o30c3VMHQpDYO4T0QZHEZWjRVRxn57dzKFi3knajkaDIaIaOf4D0wcPw1Z67Jl5RFMXpglxKyZc1jfzhUDkWCX9OjmJidCiumjMvYCltMPLHhftZd6ietAg/Zj2YxzWpoafuZG6DLf+Ede9ARwvkjIehUyAo/sTvaS7lw10f8t2x7/By9eK+9PuYkDmBMO8wANqPHKHhn/9E/823ICX+Y8agffABvDIzsVpsFG2tZk9+GQ0VRjx93OgzOp5eQ6PxCXSjZMdW/vPKQiqKDuDi6kpK/6vJHjGamIxzLyegKIpyMqcK8oYOC88dLOObOj15AT58kB5HwllKCTssNv617ggf5B/CzUXDy+My+PXABFxODnsp7Vdffv8SNJdD6hi47mX7KoMOda11TN0zla8OfYW7izsPZz3MhIwJBHoG2t+ntJT6f/wD/ZKvER4eBN17D9oJ9+MeE42lw8reVeXs+r4UQ2M7wdG+XPvrNFKvCkfazOxfvZyd3y6mqaYK/9Awht73IJnXjMDbP+Aif4qKonQ3ThXkLx2u4Pv6Zl5MiuS3cWG4nGXEWlTdzO/m7aaouoXre0Xwp3GZRAScdlJQdwS+eRZK8iEiC26dColDOze3WdqYsW8Gsw7MwmKzcEfqHTza+1FCvEIAMFdUUPePf6BfuAjh5ob2N78heOKDuAYH02GysHNZKbvzy2hr7iCyRwDDxqcRl6nFZDSwZcFcdi/7BpPRQGRyTwbfcz8peQPRuJz7ilRFUZT/xrmCvEckk+LCyPQ98wIXm00yY/1R3l5WjL+XG/+akMvIjPBTd7J02E9krn0bXNxhzJtw1UPgYv8YpJTkH8/nrW1vUWWs4vqE63mi7xPE+sUCYDUYaZg2Dd0nnwAQNP5eQh5+GNfQUKwWG/tWl7Pt22O0NXcQmx5Ev4cyiUoJxGRoYcP8Oez6bgkdbW0kXzWQ3HG3Ed0zHUVRlPPlVEEe6eFO5FnuJ1HTbOJ383az6UgDozLCef22LIJ9T9uxpgAWPALV++yXz49+HfwjOzcf0x/jtS2vsalqE6lBqbw+5HX6hfcDQFqtNH31FXXvf4C1vh7/ceMIe/r3uEVGIm2Sg9uq2bLoCM31JqJSAhn7WBYRSQGYDAY2zJ/DzqVLMLebSO1/NQNuv5vQuISL+CkpinKlcaogP5stRxqYNHcXxnYLb92ezR25MaeeJLRZYdOHsPL/7Ot+3z0X0m7o3Gy1WZlTMIcPd3+Iu8ad5/Oe566ed+GqsX80bfv2U/Wn/0d7QSFeOTmE/+PveGVnA1B9RM/aeQepO95CcLQvN07uTVymFqvFwo5vFrL5y3mYWo30HDCYAbffTUhsPIqiKBea0wa5lJLp647yxndFxGu9mftwf1JPrwlvqYYvJkLpevsqhOPeB5+Qzs1Hmo7w0saX2Fu3l+Gxw/njgD8S6m2varEZjdR98AG6OZ/iEqwl6q9/wX/sWIQQtDZ3sGnBYYo2VeMT4M51v0knNS8CBBzcvJ51cz9BX1tDfHYfho5/gLCEJBRFUS4WpwzydouV57/cx4JdFYzJjODtO7JPXVIW7KsRfjEROgxwy1R7XbhjpC6lZG7RXN7Z/g7ebt68NfQtxiSM6RzJG9auperll7FUVhF4912EPf00Lv7+2GySfavL2LLoCBazjT6j4sgdm4C7pyt1pUdZMWMqlcUFhMQlcPsLfyYhp9+l/mgURbkCOV2Q61vNPPrpdjYf0fHMyFQmD08+bSrFBuvfgVWvQnAy3L8EwtI6NzeZmnhp40usLlvNsJhh/GnQnzqrUWytrdS89RZN8+bjntyD+Lmf4d3XvsJiY7WRlbOLqD6iJzZDy5A7UwiK8KGjrZXVsz9h59LFePr4MurRJ8kcNgKNRlWhKIpyaThVkJfpWvnNx1sp07Xx3l053NIn+tQdzG2w8HF7fXiv22HcB+BxYjGpnTU7eW7tczSYGvifq/6H8enjO/8RaNu3j8opz9FRWor2gQcI/d1TaDw8sFlt7F5RxtYlR3F119inUfpHIITg0NaNrPz4nxh0DWSNGM2Qe+7Hy++0K0YVRVEuMqcK8neXH6SupZ3ZE/MYkHTaZeuGWvj3PfZbq418BQY9ecpUyvzi+byx9Q2ifaP5dOynZAZndm5rmD6duvfexzUsjLiPP8ZnQH8A9HVtLJ95gJqjzSTlhDL0nlR8AjxoM7SwcuZHFG1YQ2h8IuN+/wJRqWkoiqJ0BacK8ldu6cXk4ckkhZ62ZGttEXx2Bxjr4K459nXCHcxWM69tfY0vDn7BNTHX8MaQN/B1t7/e2tJC5fMvYMjPx2/MGCJf+TMu/vYR9cFt1az+rBiNRjBqYibJuWEIISjZsZXl0/5GW0szg+4cT97Nd+Di6lQfo6Io3cx5JZAQ4g7gZSAdyJNSXvhFxk/i6+GK7+khXrETPr3NfoHPg0shqk/nJp1Jx+9X/Z6dtTt5KOshJudMxsUxd20qLqb8yScxV1QS/sLzBE2YgBCCDpOFdfMPUrSpmoikAEZOzMA/2Atzu4mVH09j/6rvCYlL4NbnXyY8scfFPFxFUZSf5HyHkvuB24B/XoC2/HzHNsDcu8A7CCYsBm1i56YKQwWPLX+MKmMVbw55k7FJYzu3taxYQcWzU3Dx8yN+1id497NXlzTVtrL0o33oqozkjk3gqhsS0LhoaCg/zpJ336Chooy8m3/FwDvGq/teKopy2TivIJdSFgJds0rf4XyYNx4CY2HCIvA/cXuzYl0xj694HJPVxLSR0+gb3veH9qL7ZBa1b72FZ1YWsX//ENdQe9348QMNfD/jAAi46ckcYtPtd//Zv3oF+TOn4u7pxe1/eIWE7D5ntkVRFKULXbLJXSHEI8AjAHFxcef3y46th3n3QnAKTFh4ykU+O2t2Mjl/Ml5uXswaM4uUIPvNkKXFQvWrr9L073n4jRpF1JtvoPHyQkrJruXH2bygBG2UL2Mfz8I/xAurxUz+jKnsW/k9sZnZjH3iWXyDtOfXbkVRlIvgR4NcCLECiDjLphellIt+6htJKacB08B+z86f3MLTlW2zT6cEJdhH4j4nqld21Ozg8RWPE+4dzrSR04j0ta+lYuvooOLppzGsyCf4oYmEPv00QqPBZrWx5t8HKVhfSXK/MIZPSMfNw4VWfROL33mNiqIC+t96J4PuHK/qwhVFuWz9aJBLKa+7FA35Sar2wme3g0/oOUM8wieCGaNmnLjUvrWV8slPYNy4kfAXX0T76/sAMLdb+X76fo7ta6Df9fH0vykJIQS1x46w8O3/pU2v54anniNt0NCzNkVRFOVy4Vx1c9umg7sf3L8Y/E58SdhZs7NzJH5yiFtbWih79DHadu8m8tVXCbz9NgDaWjr4+u97qStt5pp7e9JrqP3CoqO7d7Dkndfx8PHh7lfeIjwp+dIfo6Ioys90vuWHtwJ/A0KBb4QQu6WUoy9Iy87mhnfAUAMBJ67oLNYVMyl/EuHe4cwcPfNEiBsMHJ/4EKaCAqLf+Sv+Y8YAYNS3s+jdXTQ3mBjzaBZJOfb9C9atYtnU9wiJTeDW5/+k5sMVRXEa51u1sgBYcIHa8uNcXE8J8QpDBY+veBxvN2+mjZx2YjqlrY2yxx7DVFBAzAfv4zd8OACGxnYWvbcLQ1M7457oTXRqEADbv17AmjkziOuVzU3P/FHdqV5RFKfiXFMrJ2k0NfLY8scwWU3MGjPrlBOb5ZOfoG3nLqL/8nZniLfoTCx8dxdtLR3c9ERvIpMDkVKyYf4ctiz4D6n9r+b6J55V9eGKojgdpwzyDmsHT616ikpDJdNGTTtRYmi1UvnMMxg3bCDy1VfxH2u/CMiob2fhOzsxGczc9GQOEUkBSClZP282Wxd+TtbwUVz38CRVmaIoilNyuiCXUvLaltfYVbuLt4e+3Xk7NoCaN9+kZfkKwv/wQueJTZPRzOL3d9PaYubm3+UQkXhqiGePGMN1D/0WodF01SEpiqKcF6dLr3nF8/jy0Jc8nPUwYxLHdD6vmz2bxtlz0N5/P9oJEwB7ieE3f99DU20rYx/PIiIxAIAN8+fYQ/w6FeKKojg/p0qwrVVbeXPrmwyLGcbkPpM7n2/Jz6fm9TfwG3kdYc9NAcBqtfHdtH3UHG1m1MRMYtPsVSjblnzFlgX/sY/EJ6oQVxTF+TlViq0uX028fzyvD3kdjbA3vf3QISqmPIdnr15EvfUWwsUFKSXr5h/i+AEdw8an0aNPGAAH1uSz9tOZpA4YzIiHHlchrihKt+BUc+RTcqfwaPajp6wnXv7Ek2i8vYn58EM0Xl4A7F1VzoG1FfQZFUfGYPtiWkd2bmPZR+8T16s3109+Rp3YVBSl23CqIBdCEOBhn+eWUlL5wgt0lJUR/8nHuIXbR92l+xvY8PkhEnuHMPAW+3rhNUcOs+TdNwiNT+TmZ19UJYaKonQrTju30DB9OoYV+YRNeRbvq64CoKmmlWXT9xMc48t1D2QgNAJDo46Fb/8vXv7+3Pb8y7h7qYt9FEXpXpwyyNv27qXuvffxGzMG7f33A2DusPLdtH24uGgY+3g27p6umDvaWfSX/8NkNHDLlJfwCQzq4pYriqJceE4X5FaDkYpnp+AaHkbkK3/uvKnF2n8X01Bp5LoHM/DTeiKlZPk//0b14YOMnfwMYQlJXdxyRVGUi8Op5sgBal57DXN5OfGzZ3XeKLlgQyVFm6rJHZtAfKZ9adtd3y2hcP1qrr7zPlLyBnVlkxVFUS4qpxqRN3/3HfqvviL4kYfxzs0FoLHayNp5B4nuGcRVN9rv2Vl9+CBr5swkqV8e/W+7qyubrCiKctE5VZC3l5Tg2Tub0EmTAPtFP8tnFuDm7sLIBzPQaAQmg4El772JT1AQY377+665n6iiKMol5FRBHjppEvFz5iAc5YPbvzlG3fEWht3XE58AD6SULPvoPQy6em586n/w8vXr4hYriqJcfE4V5AAad3cAqo/o2fFdKWkDIjqv3NyXv4zD2zYz5N7fEJWa1pXNVBRFuWScLsgBLGYr+bMK8Q30YPBdqQA0VVexevZ04rJy6Df25i5uoaIoyqXjlEG+Y2kpTTWtXHtfGh5erthsVr6b+i4aFxdGP/aUWkNFUZQritMlnq7SyM5lpaT2Dyc2w76i4Y6vF1JRVMDwBx7FPyS0i1uoKIpyaTlVkEubZPVnRbh5ujD4V/a7Aukqy9kwfw7JVw0kfci1XdxCRVGUS8+pgvzA+kqqSvRcfXsKXn7uSClZ8a+/4+rhYb9BhCo1VBTlCuRUQW612IjvFUzawAgACtaupKxgH0PvfUCto6IoyhXLqS7R7z08luxrYxBC0NqsZ/WcGUSlppM1fFRXN01RFKXLONWIHOicPlk39xM6Wo1c9/AkVaWiKMoVzSkTsLrkEPtXLafv2JsJjUvo6uYoiqJ0KacLciklq2f/C++AQAbcdndXN0dRFKXLOV2QH9qygYqiAq6+8z48vNXdfhRFUZwqyC0dHaz97GNC4hLoNXxkVzdHURTlsuBUQb5z6WL0tTUM+/VDaDQuXd0cRVGUy4JTBblPYBC9rh1JfHZOVzdFURTlsuFUdeSZ14wg85oRXd0MRVGUy4pTjcgVRVGUM6kgVxRFcXIqyBVFUZzceQW5EOJtIUSREGKvEGKBECLwArVLURRF+YnOd0S+HOglpcwGDgIvnH+TFEVRlJ/jvIJcSvm9lNLieLgZiDn/JimKoig/x4WcI38QWHqujUKIR4QQ24UQ2+vq6i7g2yqKolzZfrSOXAixAog4y6YXpZSLHPu8CFiAz871e6SU04BpALm5ufIXtVZRFEU5g5Dy/DJVCPEb4FFghJSy9Se+pg4o/YVvGQLU/8LXOit1zFcGdcxXhvM55ngp5Rl3mD+vIBdCjAHeAa6RUl6S+RIhxHYpZe6leK/LhTrmK4M65ivDxTjm850j/xDwA5YLIXYLIT66AG1SFEVRfobzWmtFSpl8oRqiKIqi/DLOeGXntK5uQBdQx3xlUMd8Zbjgx3zeJzsVRVGUruWMI3JFURTlJCrIFUVRnJzTBLkQYowQolgIcVgI8XxXt+diEELECiFWCSEKhBAHhBBPOZ7XCiGWCyEOOf4b1NVtvdCEEC5CiF1CiK8djxOFEFsc/T1fCOHe1W28kIQQgUKILxyLzhUKIQZ2934WQvze8fd6vxDi30IIz+7Wz0KImUKIWiHE/pOeO2u/CrsPHMe+VwjR95e+r1MEuRDCBfg7cD2QAdwjhMjo2lZdFBbgGSllBjAAmOQ4zueBfCllCpDveNzdPAUUnvT4TeBdR2VUIzCxS1p18bwPfCelTAN6Yz/2btvPQoho4EkgV0rZC3AB7qb79fMnwJjTnjtXv14PpDj+PAJM/aVv6hRBDuQBh6WUR6SUHcA84OYubtMFJ6WsklLudPzcgv1/7mjsxzrLsdss4JYuaeBFIoSIAW4ApjseC2A48IVjl251zEKIAGAoMANAStkhpWyim/cz9nJnLyGEK+ANVNHN+llKuRbQnfb0ufr1ZmC2tNsMBAohIn/J+zpLkEcDZSc9Lnc8120JIRKAPsAWIFxKWeXYVA2Ed1W7LpL3gOcAm+NxMNB00sqa3a2/E4E64GPHdNJ0IYQP3bifpZQVwF+A49gDXA/soHv38w/O1a8XLNecJcivKEIIX+BL4HdSyuaTt0l7vWi3qRkVQtwI1Eopd3R1Wy4hV6AvMFVK2Qcwcto0Sjfs5yDsI9BEIArw4cwpiG7vYvWrswR5BRB70uMYx3PdjhDCDXuIfyal/MrxdM0PX7kc/63tqvZdBFcDNwkhjmGfMhuOff440PEVHLpff5cD5VLKLY7HX2AP9u7cz9cBR6WUdVJKM/AV9r7vzv38g3P16wXLNWcJ8m1AiuMMtzv2kySLu7hNF5xjbngGUCilfOekTYuB+x0/3w8sutRtu1iklC9IKWOklAnY+3WllHI8sAr4lWO37nbM1UCZEKKn46kRQAHduJ+xT6kMEEJ4O/6e/3DM3bafT3Kufl0MTHBUrwwA9CdNwfw8Ukqn+AOMxX47uRLsa6F3eZsuwjEOxv61ay+w2/FnLPY543zgELAC0HZ1Wy/S8Q8Dvnb8nARsBQ4DnwMeXd2+C3ysOcB2R18vBIK6ez8DfwaKgP3AHMCju/Uz8G/s5wDM2L95TTxXvwICezVeCbAPe0XPL3pfdYm+oiiKk3OWqRVFURTlHFSQK4qiODkV5IqiKE5OBbmiKIqTU0GuKIri5FSQK4qiODkV5IqiKE7u/wN2Y843Xb/NrgAAAABJRU5ErkJggg==\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from sympy.utilities.lambdify import lambdify\n", "\n", "Rn_List = np.arange(250,1550,50)\n", "\n", "for rn in Rn_List :\n", " \n", " vdic = {Delta:5, G:25, Rn:400, VPD:rn, 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", " \n", " deriv = lambdify(w, diff(eq_PM_formal.rhs,w).subs(vdic))\n", " \n", " W = np.arange(0.1,100,0.01)\n", " plt.plot(W,deriv(W))" ] }, { "cell_type": "code", "execution_count": 122, "id": "genetic-exclusion", "metadata": { "collapsed": true, "jupyter": { "outputs_hidden": true, "source_hidden": true } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py:89: UserWarning: \"__main__:dE_dW\" will be overridden by \"__main__:\"\n", " instance[expr] = instance\n" ] }, { "ename": "ValueError", "evalue": "Dimension of \"8044.78571428571*w/(log(0.434782608695652*(23 - 15.18/(0.1*exp(2.05*w) + 0.66))*(0.1*exp(2.05*w) + 0.66))*log(4.34782608695652*(23 - 15.18/(0.1*exp(2.05*w) + 0.66))*(0.1*exp(2.05*w) + 0.66)))\" is Dimension(length/time), but it should be the same as 67.2000000000000, i.e. Dimension(1)", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;34m\"\"\"Wind Speed derivative\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0munit\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0mmeter\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0msecond\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0;32mclass\u001b[0m \u001b[0meq_dE_dW\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mEquation\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 8\u001b[0m \u001b[0;34m\"\"\"equation dE/dW\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mEq\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdE_dW\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mdiff\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0meq_PM_formal\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrhs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msubs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvdic\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py\u001b[0m in \u001b[0;36m__new__\u001b[0;34m(cls, name, parents, dct)\u001b[0m\n\u001b[1;32m 104\u001b[0m cls).__new__(cls, name, parents, dct)\n\u001b[1;32m 105\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbuild_instance_expression\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minstance\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 106\u001b[0;31m \u001b[0minstance\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexpr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mexpr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBaseEquation\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minstance\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 107\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0minstance\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 108\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/equations/_core.py\u001b[0m in \u001b[0;36m__new__\u001b[0;34m(cls, definition, expr)\u001b[0m\n\u001b[1;32m 134\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 135\u001b[0m \u001b[0;31m# The below raises an error if units are not consistent\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 136\u001b[0;31m \u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcheck_unit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlhs\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrhs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 137\u001b[0m self = super(BaseEquation, cls).__new__(cls, *expr.args,\n\u001b[1;32m 138\u001b[0m evaluate=False)\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py\u001b[0m in \u001b[0;36mcheck_unit\u001b[0;34m(expr)\u001b[0m\n\u001b[1;32m 163\u001b[0m \u001b[0mexpressions\u001b[0m \u001b[0mlike\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m`\u001b[0m\u001b[0mmeter\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0msecond\u001b[0m\u001b[0;31m`\u001b[0m \u001b[0mto\u001b[0m \u001b[0mbe\u001b[0m \u001b[0mcreated\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 164\u001b[0m \"\"\"\n\u001b[0;32m--> 165\u001b[0;31m \u001b[0mfactor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollect_factor_and_basedimension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 166\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py\u001b[0m in \u001b[0;36mcollect_factor_and_basedimension\u001b[0;34m(expr)\u001b[0m\n\u001b[1;32m 195\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mAdd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 196\u001b[0m \u001b[0mfactor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 197\u001b[0;31m \u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollect_factor_and_basedimension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 198\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0maddend\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 199\u001b[0m \u001b[0maddend_factor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maddend_dim\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py\u001b[0m in \u001b[0;36mcollect_factor_and_basedimension\u001b[0;34m(expr)\u001b[0m\n\u001b[1;32m 178\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mexpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 179\u001b[0m \u001b[0marg_factor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0marg_dim\u001b[0m \u001b[0;34m=\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m \u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollect_factor_and_basedimension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 181\u001b[0m \u001b[0mfactor\u001b[0m \u001b[0;34m*=\u001b[0m \u001b[0marg_factor\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 182\u001b[0m \u001b[0mdimension\u001b[0m \u001b[0;34m*=\u001b[0m \u001b[0marg_dim\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", "\u001b[0;32m/opt/conda/lib/python3.8/site-packages/essm/variables/_core.py\u001b[0m in \u001b[0;36mcollect_factor_and_basedimension\u001b[0;34m(expr)\u001b[0m\n\u001b[1;32m 183\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mfactor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdimension\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 184\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mexpr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mPow\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 185\u001b[0;31m \u001b[0mfactor\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcollect_factor_and_basedimension\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maddend\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 201\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdim\u001b[0m \u001b[0;34m!=\u001b[0m \u001b[0maddend_dim\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 202\u001b[0;31m raise ValueError(\n\u001b[0m\u001b[1;32m 203\u001b[0m \u001b[0;34m'Dimension of \"{0}\" is {1}, '\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 204\u001b[0m 'but it should be the same as {2}, i.e. {3}'.format(\n", "\u001b[0;31mValueError\u001b[0m: Dimension of \"8044.78571428571*w/(log(0.434782608695652*(23 - 15.18/(0.1*exp(2.05*w) + 0.66))*(0.1*exp(2.05*w) + 0.66))*log(4.34782608695652*(23 - 15.18/(0.1*exp(2.05*w) + 0.66))*(0.1*exp(2.05*w) + 0.66)))\" is Dimension(length/time), but it should be the same as 67.2000000000000, i.e. Dimension(1)" ] } ], "source": [ "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:0.0014, z:23}\n", "\n", "class dE_dW(Variable):\n", " \"\"\"Wind Speed derivative\"\"\"\n", " unit= meter/second\n", " \n", "class eq_dE_dW(Equation):\n", " \"\"\"equation dE/dW\"\"\"\n", " expr = Eq(dE_dW,diff(eq_PM_formal.rhs,w).subs(vdic))\n", "\n", "eq_dE_dW\n", "# fig=plot_expr2((w, 0, 10), eq_PM_formal.subs(vdic))" ] }, { "cell_type": "code", "execution_count": 101, "id": "arranged-ebony", "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/latex": [ "$\\displaystyle - \\frac{\\gamma \\left(\\Delta \\left(- G + R_n\\right) + \\frac{VPD c_p \\kappa^{2} \\rho_a w}{\\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}}\\right) \\left(- \\frac{0.1 \\kappa^{2} w z \\left(\\frac{1.51515151515152 \\kappa \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) e^{\\frac{\\kappa w}{u***}}}{u*** \\left(0.151515151515152 e^{\\frac{\\kappa w}{u***}} + 1\\right)^{2}} + \\frac{1.0 \\kappa \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) e^{\\frac{\\kappa w}{u***}}}{u*** z}\\right)}{g_s \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}^{2} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}} - \\frac{0.01 \\kappa^{2} w z \\left(\\frac{15.1515151515152 \\kappa \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) e^{\\frac{\\kappa w}{u***}}}{u*** \\left(0.151515151515152 e^{\\frac{\\kappa w}{u***}} + 1\\right)^{2}} + \\frac{10.0 \\kappa \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) e^{\\frac{\\kappa w}{u***}}}{u*** z}\\right)}{g_s \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}^{2}} + \\frac{\\kappa^{2}}{g_s \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}}\\right)}{L \\left(\\Delta + \\gamma \\left(1 + \\frac{\\kappa^{2} w}{g_s \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}}\\right)\\right)^{2}} + \\frac{- \\frac{0.1 VPD c_p \\kappa^{2} \\rho_a w z \\left(\\frac{1.51515151515152 \\kappa \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) e^{\\frac{\\kappa w}{u***}}}{u*** \\left(0.151515151515152 e^{\\frac{\\kappa w}{u***}} + 1\\right)^{2}} + \\frac{1.0 \\kappa \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) e^{\\frac{\\kappa w}{u***}}}{u*** z}\\right)}{\\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}^{2} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}} - \\frac{0.01 VPD c_p \\kappa^{2} \\rho_a w z \\left(\\frac{15.1515151515152 \\kappa \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) e^{\\frac{\\kappa w}{u***}}}{u*** \\left(0.151515151515152 e^{\\frac{\\kappa w}{u***}} + 1\\right)^{2}} + \\frac{10.0 \\kappa \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) e^{\\frac{\\kappa w}{u***}}}{u*** z}\\right)}{\\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right) \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}^{2}} + \\frac{VPD c_p \\kappa^{2} \\rho_a}{\\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}}}{L \\left(\\Delta + \\gamma \\left(1 + \\frac{\\kappa^{2} w}{g_s \\log{\\left(\\frac{10.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)} \\log{\\left(\\frac{100.0 \\left(z - \\frac{0.66 z}{0.1 e^{\\frac{\\kappa w}{u***}} + 0.66}\\right) \\left(0.1 e^{\\frac{\\kappa w}{u***}} + 0.66\\right)}{z} \\right)}}\\right)\\right)}$" ], "text/plain": [ " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " ⎛ 2 \n", " ⎜ VPD⋅cₚ⋅κ ⋅ρₐ\n", " γ⋅⎜Δ⋅(-G + Rn) + ───────────────────────────────────────────────────────────\n", " ⎜ ⎛ ⎛ κ⋅w ⎞⎞ ⎛ \n", " ⎜ ⎜ ⎜ ───── ⎟⎟ ⎜ \n", " ⎜ ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ \n", " ⎜ ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜1\n", " ⎜ ⎜ ⎜ κ⋅w ⎟ ⎟ ⎜ \n", " ⎜ ⎜ ⎜ ───── ⎟ ⎟ ⎜ \n", " ⎜ ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ ⎜ \n", " ⎜ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ ⎜ \n", " ⎜ log⎜────────────────────────────────────────────────⎟⋅log⎜─\n", " ⎝ ⎝ z ⎠ ⎝ \n", " \n", " \n", " \n", "- ────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " ⎛ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎞ ⎜ \n", "⋅w ⎟ ⎜ \n", "─────────────────────────────────────────────────⎟⋅⎜- ────────────────────────\n", " ⎛ κ⋅w ⎞⎞⎟ ⎜ \n", " ⎜ ───── ⎟⎟⎟ ⎜ \n", " ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟⎟ ⎜ \n", "00.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟⎟ ⎜ \n", " ⎜ κ⋅w ⎟ ⎟⎟ ⎜ \n", " ⎜ ───── ⎟ ⎟⎟ ⎜ \n", " ⎜ uₛₜₐᵣ ⎟ ⎟⎟ ⎜ \n", " ⎝ 0.1⋅ℯ + 0.66⎠ ⎟⎟ ⎜ ⎛ 0.66⋅z \n", "────────────────────────────────────────────────⎟⎟ ⎜ gₛ⋅⎜z - ────────────────\n", " z ⎠⎠ ⎜ ⎜ κ⋅w \n", " ⎜ ⎜ ───── \n", " ⎜ ⎜ uₛₜₐᵣ \n", " ⎝ ⎝ 0.1⋅ℯ + 0.6\n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " ⎛ \n", " ⎜ \n", " ⎜ ⎛ \n", " ⎜ 1.0⋅κ⋅⎜z - ──\n", " ⎜ ⎛ κ⋅w ⎞ κ⋅w ⎜ \n", " ⎜ ⎜ ───── ⎟ ───── ⎜ \n", " ⎜ ⎜ uₛₜₐᵣ ⎟ uₛₜₐᵣ ⎜ \n", " 2 ⎜1.51515151515152⋅κ⋅⎝0.1⋅ℯ + 0.66⎠⋅ℯ ⎝ 0.\n", " 0.1⋅κ ⋅w⋅z⋅⎜───────────────────────────────────────────── + ─────────────\n", " ⎜ 2 \n", " ⎜ ⎛ κ⋅w ⎞ \n", " ⎜ ⎜ ───── ⎟ \n", " ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " ⎝ uₛₜₐᵣ⋅⎝0.151515151515152⋅ℯ + 1⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ ⎛ κ⋅w ⎞⎞ \n", " ⎜ ⎜ ───── ⎟⎟ \n", " ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ \n", " ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ \n", " ⎜ ⎜ κ⋅w ⎟ ⎟ \n", " ⎛ κ⋅w ⎞ ⎜ ⎜ ───── ⎟ ⎟ \n", " ⎜ ───── ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ \n", " ⎞ ⎜ uₛₜₐᵣ ⎟ 2⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ \n", "─⎟⋅⎝0.1⋅ℯ + 0.66⎠⋅log ⎜────────────────────────────────────────────────⎟⋅\n", " ⎟ ⎝ z ⎠ \n", " ⎟ \n", " ⎟ \n", "6⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " ⎛ ⎛ \n", " ⎜ ⎜ \n", " L⋅⎜Δ + γ⋅⎜1 + ──\n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎜ ⎜ gₛ\n", " ⎝ ⎝ \n", "\n", " κ⋅w ⎞ \n", " ─────⎟ \n", " 0.66⋅z ⎞ uₛₜₐᵣ⎟ \n", "───────────────⎟⋅ℯ ⎟ \n", " κ⋅w ⎟ ⎟ \n", " ───── ⎟ ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ \n", "1⋅ℯ + 0.66⎠ ⎟ \n", "───────────────────────⎟ \n", " uₛₜₐᵣ⋅z ⎟ \n", " ⎟ \n", " ⎟ \n", " ⎟ \n", " ⎠ \n", "────────────────────────────────────────────────────── - ─────────────────────\n", " ⎛ ⎛ κ⋅w ⎞⎞ \n", " ⎜ ⎜ ───── ⎟⎟ \n", " ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ \n", " ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ \n", " ⎜ ⎜ κ⋅w ⎟ ⎟ \n", " ⎜ ⎜ ───── ⎟ ⎟ \n", " ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ \n", " ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ ⎛ 0.66⋅z \n", "log⎜─────────────────────────────────────────────────⎟ gₛ⋅⎜z - ─────────────\n", " ⎝ z ⎠ ⎜ κ⋅w \n", " ⎜ ───── \n", " ⎜ uₛₜₐᵣ \n", " ⎝ 0.1⋅ℯ + \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " 2 \n", " κ ⋅w \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ ⎛ κ⋅w ⎞⎞ ⎛ \n", " ⎜ ⎜ ───── ⎟⎟ ⎜ \n", " ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ ⎛ 0.\n", " ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜100.0⋅⎜z - ────────\n", " ⎜ ⎜ κ⋅w ⎟ ⎟ ⎜ ⎜ κ⋅\n", " ⎜ ⎜ ───── ⎟ ⎟ ⎜ ⎜ ───\n", " ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ ⎜ ⎜ uₛₜ\n", " ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ ⎜ ⎝ 0.1⋅ℯ \n", "⋅log⎜────────────────────────────────────────────────⎟⋅log⎜───────────────────\n", " ⎝ z ⎠ ⎝ \n", "\n", " ⎛ \n", " ⎜ \n", " ⎜ ⎛ \n", " ⎜ 10.0⋅κ⋅⎜z \n", " ⎜ ⎛ κ⋅w ⎞ κ⋅w ⎜ \n", " ⎜ ⎜ ───── ⎟ ───── ⎜ \n", " ⎜ ⎜ uₛₜₐᵣ ⎟ uₛₜₐᵣ ⎜ \n", " 2 ⎜15.1515151515152⋅κ⋅⎝0.1⋅ℯ + 0.66⎠⋅ℯ ⎝ \n", " 0.01⋅κ ⋅w⋅z⋅⎜───────────────────────────────────────────── + ──────────\n", " ⎜ 2 \n", " ⎜ ⎛ κ⋅w ⎞ \n", " ⎜ ⎜ ───── ⎟ \n", " ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " ⎝ uₛₜₐᵣ⋅⎝0.151515151515152⋅ℯ + 1⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ ⎛ κ⋅w ⎞\n", " ⎜ ⎜ ───── ⎟\n", " ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟\n", " ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠\n", " ⎜ ⎜ κ⋅w ⎟ \n", " ⎛ κ⋅w ⎞ ⎜ ⎜ ───── ⎟ \n", " ⎜ ───── ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " ⎞ ⎜ uₛₜₐᵣ ⎟ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ \n", "────⎟⋅⎝0.1⋅ℯ + 0.66⎠⋅log⎜────────────────────────────────────────────────\n", " ⎟ ⎝ z \n", " ⎟ \n", " ⎟ \n", "0.66⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " 2 \n", " ⎞⎞ \n", " ⎟⎟ \n", "───────────────────────────────⎟⎟ \n", " ⎛ κ⋅w ⎞⎞⎟⎟ \n", " ⎜ ───── ⎟⎟⎟⎟ \n", "66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟⎟⎟ \n", "─────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟⎟⎟ \n", "w ⎟ ⎟⎟⎟ \n", "── ⎟ ⎟⎟⎟ \n", "ₐᵣ ⎟ ⎟⎟⎟ \n", " + 0.66⎠ ⎟⎟⎟ \n", "──────────────────────────────⎟⎟⎟ \n", " z ⎠⎠⎠ \n", "\n", " κ⋅w ⎞ \n", " ─────⎟ \n", " 0.66⋅z ⎞ uₛₜₐᵣ⎟ \n", "- ─────────────────⎟⋅ℯ ⎟ \n", " κ⋅w ⎟ ⎟ \n", " ───── ⎟ ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ \n", " 0.1⋅ℯ + 0.66⎠ ⎟ \n", "───────────────────────────⎟ \n", " uₛₜₐᵣ⋅z ⎟ \n", " ⎟ \n", " ⎟ \n", " ⎟ \n", " ⎠ \n", "───────────────────────────────────────────────────────── + ──────────────────\n", "⎞ ⎛ ⎛ κ⋅w ⎞⎞ ⎛ \n", "⎟ ⎜ ⎜ ───── ⎟⎟ ⎜ \n", "⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ ⎛ \n", "⎟ ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜10.0⋅⎜z - ─\n", "⎟ ⎜ ⎜ κ⋅w ⎟ ⎟ ⎜ ⎜ \n", "⎟ ⎜ ⎜ ───── ⎟ ⎟ ⎜ ⎜ \n", "⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ ⎜ ⎜ \n", "⎟ 2⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ ⎜ ⎝ 0\n", "⎟⋅log ⎜─────────────────────────────────────────────────⎟ gₛ⋅log⎜───────────\n", "⎠ ⎝ z ⎠ ⎝ \n", " \n", " \n", " \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 2 \n", " κ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ κ⋅w ⎞⎞ ⎛ ⎛ \n", " ⎜ ───── ⎟⎟ ⎜ ⎜ \n", " 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ \n", "────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅\n", " κ⋅w ⎟ ⎟ ⎜ ⎜ κ⋅w ⎟ \n", " ───── ⎟ ⎟ ⎜ ⎜ ───── ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ \n", ".1⋅ℯ + 0.66⎠ ⎟ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ \n", "─────────────────────────────────────⎟⋅log⎜───────────────────────────────────\n", " z ⎠ ⎝ z \n", " \n", " \n", " \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " ⎞ ⎛ \n", " ⎟ ⎜ \n", " ⎟ ⎜ \n", " ⎟ ⎜ \n", " ⎟ ⎜ \n", " ⎟ ⎜ \n", " ⎟ ⎜ \n", " ⎟ 2 ⎜1.5151515151\n", " ⎟ 0.1⋅VPD⋅cₚ⋅κ ⋅ρₐ⋅w⋅z⋅⎜────────────\n", " ⎟ ⎜ \n", " ⎟ ⎜ ⎛ \n", " ⎟ ⎜ ⎜ \n", " ⎟ ⎜ ⎜ \n", " ⎟ ⎝ uₛₜₐᵣ⋅⎝0\n", "───────────────⎟ - ─────────────────────────────────────────────────────────\n", " κ⋅w ⎞⎞⎟ ⎛ \n", " ───── ⎟⎟⎟ ⎜ \n", " uₛₜₐᵣ ⎟⎟⎟ ⎜ ⎛ \n", "ℯ + 0.66⎠⎟⎟ ⎜10.0⋅⎜z \n", " ⎟⎟ ⎜ ⎜ \n", " ⎟⎟ ⎛ κ⋅w ⎞ ⎜ ⎜ \n", " ⎟⎟ ⎜ ───── ⎟ ⎜ ⎜ \n", " ⎟⎟ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟ 2⎜ ⎝ \n", "──────────────⎟⎟ ⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⋅log ⎜────────\n", " ⎠⎟ ⎜ κ⋅w ⎟ ⎝ \n", " ⎟ ⎜ ───── ⎟ \n", " ⎟ ⎜ uₛₜₐᵣ ⎟ \n", " ⎠ ⎝ 0.1⋅ℯ + 0.66⎠ \n", "──────────────── + ───────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " κ⋅w ⎞ \n", " ─────⎟ \n", " ⎛ 0.66⋅z ⎞ uₛₜₐᵣ⎟ \n", " 1.0⋅κ⋅⎜z - ─────────────────⎟⋅ℯ ⎟ \n", " ⎛ κ⋅w ⎞ κ⋅w ⎜ κ⋅w ⎟ ⎟ \n", " ⎜ ───── ⎟ ───── ⎜ ───── ⎟ ⎟ \n", " ⎜ uₛₜₐᵣ ⎟ uₛₜₐᵣ ⎜ uₛₜₐᵣ ⎟ ⎟ \n", "5152⋅κ⋅⎝0.1⋅ℯ + 0.66⎠⋅ℯ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ \n", "───────────────────────────────── + ────────────────────────────────────⎟ \n", " 2 uₛₜₐᵣ⋅z ⎟ \n", " κ⋅w ⎞ ⎟ \n", " ───── ⎟ ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ \n", ".151515151515152⋅ℯ + 1⎠ ⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ κ⋅w ⎞⎞ ⎛ ⎛ \n", " ⎜ ───── ⎟⎟ ⎜ ⎜ \n", " 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ \n", "- ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0\n", " κ⋅w ⎟ ⎟ ⎜ ⎜ κ⋅w ⎟ \n", " ───── ⎟ ⎟ ⎜ ⎜ ───── ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " 0.1⋅ℯ + 0.66⎠ ⎟ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ \n", "────────────────────────────────────────⎟⋅log⎜────────────────────────────────\n", " z ⎠ ⎝ z \n", " \n", " \n", " \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " ⎛ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " ⎜ \n", " 2 ⎜15.151515151\n", " 0.01⋅VPD⋅cₚ⋅κ ⋅ρₐ⋅w⋅z⋅⎜────────────\n", " ⎜ \n", " ⎜ ⎛ \n", " ⎜ ⎜ \n", " ⎜ ⎜ \n", " ⎝ uₛₜₐᵣ⋅⎝0\n", "────────────────── - ─────────────────────────────────────────────────────────\n", " κ⋅w ⎞⎞ ⎛ \n", " ───── ⎟⎟ ⎜ \n", " uₛₜₐᵣ ⎟⎟ ⎜ ⎛ \n", ".1⋅ℯ + 0.66⎠⎟ ⎜10.0⋅⎜z -\n", " ⎟ ⎜ ⎜ \n", " ⎟ ⎛ κ⋅w ⎞ ⎜ ⎜ \n", " ⎟ ⎜ ───── ⎟ ⎜ ⎜ \n", " ⎟ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟ ⎜ ⎝ \n", "─────────────────⎟ ⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⋅log⎜─────────\n", " ⎠ ⎜ κ⋅w ⎟ ⎝ \n", " ⎜ ───── ⎟ \n", " ⎜ uₛₜₐᵣ ⎟ \n", " ⎝ 0.1⋅ℯ + 0.66⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ ⎛ \n", " ⎜ ⎜ \n", " L⋅⎜Δ + γ⋅⎜1 + ──────────────────────────────────────────────────────\n", " ⎜ ⎜ ⎛ ⎛ κ⋅w \n", " ⎜ ⎜ ⎜ ⎜ ───── \n", " ⎜ ⎜ ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ \n", " ⎜ ⎜ ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66\n", " ⎜ ⎜ ⎜ ⎜ κ⋅w ⎟ \n", " ⎜ ⎜ ⎜ ⎜ ───── ⎟ \n", " ⎜ ⎜ ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " ⎜ ⎜ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ \n", " ⎜ ⎜ gₛ⋅log⎜───────────────────────────────────────────────\n", " ⎝ ⎝ ⎝ z \n", " \n", "\n", " κ⋅w ⎞ \n", " ─────⎟ \n", " ⎛ 0.66⋅z ⎞ uₛₜₐᵣ⎟ \n", " 10.0⋅κ⋅⎜z - ─────────────────⎟⋅ℯ ⎟ \n", " ⎛ κ⋅w ⎞ κ⋅w ⎜ κ⋅w ⎟ ⎟ \n", " ⎜ ───── ⎟ ───── ⎜ ───── ⎟ ⎟ \n", " ⎜ uₛₜₐᵣ ⎟ uₛₜₐᵣ ⎜ uₛₜₐᵣ ⎟ ⎟ \n", "5152⋅κ⋅⎝0.1⋅ℯ + 0.66⎠⋅ℯ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ \n", "───────────────────────────────── + ─────────────────────────────────────⎟ \n", " 2 uₛₜₐᵣ⋅z ⎟ \n", " κ⋅w ⎞ ⎟ \n", " ───── ⎟ ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ \n", ".151515151515152⋅ℯ + 1⎠ ⎠ \n", "──────────────────────────────────────────────────────────────────────────────\n", " ⎛ κ⋅w ⎞⎞ ⎛ ⎛ \n", " ⎜ ───── ⎟⎟ ⎜ ⎜ \n", " 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ \n", " ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0\n", " κ⋅w ⎟ ⎟ ⎜ ⎜ κ⋅w ⎟ \n", " ───── ⎟ ⎟ ⎜ ⎜ ───── ⎟ \n", " uₛₜₐᵣ ⎟ ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ \n", " 0.1⋅ℯ + 0.66⎠ ⎟ 2⎜ ⎝ 0.1⋅ℯ + 0.66⎠ \n", "───────────────────────────────────────⎟⋅log ⎜────────────────────────────────\n", " z ⎠ ⎝ z \n", " \n", " \n", " \n", "──────────────────────────────────────────────────────────────────────────────\n", " 2 ⎞⎞ \n", "κ ⋅w ⎟⎟ \n", "─────────────────────────────────────────────────────────⎟⎟ \n", "⎞⎞ ⎛ ⎛ κ⋅w ⎞⎞⎟⎟ \n", "⎟⎟ ⎜ ⎜ ───── ⎟⎟⎟⎟ \n", "⎟⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟⎟⎟ \n", "⎠⎟ ⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟⎟⎟ \n", " ⎟ ⎜ ⎜ κ⋅w ⎟ ⎟⎟⎟ \n", " ⎟ ⎜ ⎜ ───── ⎟ ⎟⎟⎟ \n", " ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟⎟⎟ \n", " ⎟ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟⎟⎟ \n", "─⎟⋅log⎜─────────────────────────────────────────────────⎟⎟⎟ \n", " ⎠ ⎝ z ⎠⎠⎠ \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " 2\n", " VPD⋅cₚ⋅κ \n", "────────────────── + ─────────────────────────────────────────────────────────\n", " κ⋅w ⎞⎞ ⎛ ⎛ κ⋅w ⎞⎞ \n", " ───── ⎟⎟ ⎜ ⎜ ───── ⎟⎟ \n", " uₛₜₐᵣ ⎟⎟ ⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟ \n", ".1⋅ℯ + 0.66⎠⎟ ⎜10.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟ \n", " ⎟ ⎜ ⎜ κ⋅w ⎟ ⎟ \n", " ⎟ ⎜ ⎜ ───── ⎟ ⎟ \n", " ⎟ ⎜ ⎜ uₛₜₐᵣ ⎟ ⎟ \n", " ⎟ ⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟ \n", "─────────────────⎟ log⎜────────────────────────────────────────────────⎟⋅log\n", " ⎠ ⎝ z ⎠ \n", " \n", " \n", " \n", "──────────────────────────────────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "⋅ρₐ \n", "───────────────────────────────────────────────────\n", "⎛ ⎛ κ⋅w ⎞⎞\n", "⎜ ⎜ ───── ⎟⎟\n", "⎜ ⎛ 0.66⋅z ⎞ ⎜ uₛₜₐᵣ ⎟⎟\n", "⎜100.0⋅⎜z - ─────────────────⎟⋅⎝0.1⋅ℯ + 0.66⎠⎟\n", "⎜ ⎜ κ⋅w ⎟ ⎟\n", "⎜ ⎜ ───── ⎟ ⎟\n", "⎜ ⎜ uₛₜₐᵣ ⎟ ⎟\n", "⎜ ⎝ 0.1⋅ℯ + 0.66⎠ ⎟\n", "⎜─────────────────────────────────────────────────⎟\n", "⎝ z ⎠\n", " \n", " \n", " \n", "───────────────────────────────────────────────────\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " " ] }, "execution_count": 101, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sympy import diff\n", "diff(eq_PM_formal.rhs,w)" ] }, { "cell_type": "markdown", "id": "streaming-spotlight", "metadata": {}, "source": [ "### Sensitivity analysis of the different models\n", "Aim : investigate the sensitivity of the models to their different meta-parameters ($\\theta_3$ and $\\theta_4$). Methodology : \n", "1. Construct the meshed matric ($\\theta_3$, $\\theta_4$) and ($\\theta_3$, $g_s$)\n", "2. Evaluate the models on the meshgrid (RMSE)\n", "3. Plot the results (heat maps with contour plots)\n", "\n", "**Construct the mesh grids**" ] }, { "cell_type": "code", "execution_count": 49, "id": "structured-office", "metadata": {}, "outputs": [], "source": [ "N = 100\n", "#theta_3 = np.linspace(0.1, 1, N)\n", "#theta_4 = np.linspace(0.001, 0.1, N)\n", "theta_3 = np.linspace(0, 1, N)\n", "theta_4 = np.linspace(0, 0.2, N)\n", "\n", "Theta_3, Theta_4 = np.meshgrid(theta_3, theta_4)" ] }, { "cell_type": "markdown", "id": "dimensional-button", "metadata": {}, "source": [ "**Evaluate the models on the different meshgrids**" ] }, { "cell_type": "code", "execution_count": 50, "id": "incredible-departure", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0\n", "50\n", "0\n", "50\n", "0\n", "50\n", "0\n", "50\n", "0\n", "50\n" ] } ], "source": [ "ListModel = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run]\n", "Mat_agg = []\n", "\n", "for model_func in ListModel :\n", " \n", " Heat_Perf = np.zeros(Theta_3.shape)\n", " \n", " for i in range(Theta_3.shape[0]):\n", " if i % 50 == 0:\n", " print(i)\n", " for j in range(Theta_3.shape[1]):\n", " \n", " model_run = model_func(Data, Theta_3[i,j],Theta_4[i,j])\n", " RMSE_case = RMSE(Data.Fe.to_numpy()*60*60*24, model_run*60*60*24)\n", " Heat_Perf[i,j] = RMSE_case\n", " \n", " Mat_agg.append(Heat_Perf)" ] }, { "cell_type": "markdown", "id": "revised-device", "metadata": {}, "source": [ "**Plot the results**" ] }, { "cell_type": "code", "execution_count": 51, "id": "celtic-chosen", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "ListLabel = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\",r\" Modified varying $g_s$ model\",r\"Modified constant $g_s$ model\", \"PT model\"]\n", "\n", "#constrained_layout=True,\n", "fig, axes = plt.subplots(3,2, figsize = (15,15),constrained_layout=True, sharex = True, sharey = True)\n", "fig.delaxes(axe[2,1])\n", "\n", "for model_label, ax, resMat in zip(ListLabel, axes.flatten(), Mat_agg):\n", " \n", " im = ax.imshow(resMat, interpolation='bilinear', cmap=\"Spectral\",origin='lower', extent=[0, 1, 0, 0.2 ])\n", " #vmax=1, vmin=-abs(resMat).max())\n", " #vmax=1, vmin=-abs(resMat).max())\n", " \n", " # set the contourlines of the plots\n", " \n", " CS = ax.contour(Theta_3, Theta_4,resMat,levels = [0.9,1.2,1.5,2.0],colors=('k',),linestyles=('-',),linewidths=(1,))\n", " \n", " fmt = {}\n", " strs = ['0.9', '1.2', '1.5', '2.0']\n", " for l, s in zip(CS.levels, strs):\n", " fmt[l] = s\n", " \n", " ax.clabel(CS, CS.levels, inline=True, fmt=fmt, fontsize=10)\n", " \n", " ax.set_title(model_label, size = 18)\n", " ax.set_xlabel(r\"$\\theta_3$\", size = 18)\n", " #ax.set_ylabel(r\"$g_s$\", size = 18)\n", " ax.set_aspect(5)\n", "\n", "# tight layout for the colorbar\n", "fig.colorbar(im, ax=ax, shrink=0.9, label = r\"RMSE $[mm.day^{-1}]$\")\n", "axes[0,0].set_ylabel(r\"$\\theta_4$\", size = 18)\n", "axes[1,0].set_ylabel(r\"$\\theta_4$\", size = 18)\n", "axes[2,0].set_ylabel(r\"$\\theta_4$\", size = 18)\n", "\n", "plt.savefig(sensitivity_parameters, dpi = 150)" ] }, { "cell_type": "markdown", "id": "confirmed-stone", "metadata": {}, "source": [ "## One site, different years\n", "Data from Howard Springs, for year 2002 to 2019. Method : \n", "1. Create data set with all input data from 2002 to 2019, daily time scale\n", "2. Randomly draw the start and end year of the period assessment\n", "3. Calibrate both models for this period \n", "4. Compute the RMSE and NS (whole time period)\n", "5. Do a statistical test : varying g_s performs better than constant g_s ?\n", "\n", "The aim of the experiment is to see wether the first results found in the previous experiment are universal or was only due to experime" ] }, { "cell_type": "code", "execution_count": 53, "id": "rational-coordinate", "metadata": {}, "outputs": [], "source": [ "Data_full = DataChose(ds,\"2016-2018\",fPAR_data_process(fPAR_files[3],dates_fPAR),sel_period_flag = False)" ] }, { "cell_type": "code", "execution_count": 55, "id": "ongoing-czech", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 / 500\n", "100 / 500\n", "200 / 500\n", "300 / 500\n", "400 / 500\n" ] } ], "source": [ "RMSE_mat = np.zeros((1000,6)) # store the RMSE results of both models var, cst, var_mod, cst_mod, PT, PM\n", "RVE_mat = np.zeros((1000,6))\n", "Coeff_mat_var = np.zeros((1000,2)) # store theta_3, theta_4 coefficients\n", "Coeff_mat_cst = np.zeros((1000,2))\n", "\n", "Coeff_mat_var_mod = np.zeros((1000,2)) # store theta_3, theta_4 coefficients\n", "Coeff_mat_cst_mod = np.zeros((1000,2))\n", "\n", "Coeff_mat_PT = np.zeros((1000,2)) # store theta_3, theta_4 coefficients\n", "\n", "model_list = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run, PM_run_classic]\n", "\n", "storage_list = [Coeff_mat_var,Coeff_mat_cst,Coeff_mat_var_mod,Coeff_mat_cst_mod,Coeff_mat_PT,\"\"]\n", "\n", "index_list = [0,1,2,3,4,5]\n", "\n", "Bounds = [[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.010,0.13),(0,0.075)],\"\"]\n", "\n", "for i in range(1000):\n", " if i % 100 == 0:\n", " print(f\"{i} / 1000\")\n", " year_start, year_stop = np.random.randint(2002,2020),np.random.randint(2002,2020)\n", " \n", " if year_start > year_stop:\n", " year_start, year_stop = year_stop, year_start\n", " \n", " Data = Data_full[str(year_start):str(year_stop)]\n", " \n", " for model, mat_store, index, spec_bounds in zip(model_list, storage_list, index_list, Bounds):\n", " \n", " if model != PM_run_classic:\n", " coeff_calib = calibration(Data,model, bounds = spec_bounds)\n", " TimeSerie = model(Data, coeff_calib[0], coeff_calib[1])\n", " mat_store[i,0] = coeff_calib[0]\n", " mat_store[i,1] = coeff_calib[1]\n", " \n", " else :\n", " TimeSerie = model(Data)\n", " \n", " RMSE_mat[i,index] = RMSE(Data.Fe.to_numpy()*60*60*24, TimeSerie*60*60*24)\n", " RVE_mat[i,index] = RVE(Data.Fe.to_numpy()*60*60*24, TimeSerie*60*60*24)" ] }, { "cell_type": "code", "execution_count": 150, "id": "finnish-instrumentation", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "ename": "NameError", "evalue": "name 'RMSE_mat' is not defined", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdelaxes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxe\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtitle\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mzip\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m6\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxe\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mflatten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mListLabel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, axe = plt.subplots(2,3,figsize = (20,10), sharex = True, sharey = True)\n", "bins_bound = np.arange(0.75,2.5,0.05)\n", "ListLabel = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\",r\" Modified varying $g_s$ model\",r\"Modified constant $g_s$ model\", \"PT model\"]\n", "fig.delaxes(axe[1,2])\n", "\n", "for i, ax, title in zip(range(6), axe.flatten(), ListLabel):\n", " ax.hist(RMSE_mat[:,i],bins= bins_bound)\n", " ax.set_title(title, size = 18)\n", " ax.axvline(RMSE_mat[:,i].mean(), ls = \":\")\n", " ax2 = ax.twiny()\n", " ax2.hist(RVE_mat[:,i], bins = bins_bound)\n", " ax2.axvline(RVE_mat[:,i].mean(), ls = \":\")\n", "\n", "axe[0,0].set_ylabel(\"Number of observations\", size = 18)\n", "axe[1,0].set_ylabel(\"Number of observations\", size = 18)\n", "\n", "axe[1,0].set_xlabel(\"RMSE\", size = 18)\n", "axe[1,1].set_xlabel(\"RMSE\", size = 18)\n", "axe[1,2].set_xlabel(\"RMSE\", size = 18)\n", "\n", "\n", "\n", "plt.savefig(statistical_assessment, dpi = 105)" ] }, { "cell_type": "markdown", "id": "engaged-capacity", "metadata": {}, "source": [ "## Different sites\n", "\n", "In this experiment, we want to compare the performance of both models on 5 different study sites. Methodology:\n", "1. Select one study site\n", "2. Select one year \n", "3. Calibrate the models \n", "4. Compute the best model runs\n", "5. Compute the RMSE\n", "6. Plot it" ] }, { "cell_type": "code", "execution_count": 69, "id": "hindu-mathematics", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "------------------- Ade -----------------\n", "------------------- Dal -----------------\n", "------------------- Dry -----------------\n", "------------------- How -----------------\n", "------------------- Stu -----------------\n" ] }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "Sites = [\"Ade\",\"Dal\",\"Dry\",\"How\",\"Stu\"]\n", "SiteTitle = [\"Adelaide River\",\"Daly River\",\"Dry River\",\"Howard Springs\",\"Sturt Plains\"]\n", "\n", "Years_study = {\"Ade\":[2008,2009],\"Dal\":[2008,2019],\"Dry\":[2009,2019],\"How\":[2002,2019],\"Stu\":[2009,2019]}\n", "\n", "Liste_years = []\n", "TotYear = 0\n", "for site in Sites:\n", " years = np.arange(Years_study[site][0],Years_study[site][1]+1,1)\n", " Liste_years.append(years)\n", " TotYear += years.size\n", "\n", "ResStore = []\n", "\n", "model_list = [PM_run_var, PM_run_cst, PM_run_2var, PM_run_2cst, PT_run, PM_run_classic]\n", "Bounds = [[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.1,1),(0,0.1)],[(0.010,0.13),(0,0.075)],\"\"]\n", "\n", "ListLabel = [r\"Varying $g_s$ model\", r\"Constant $g_s$ model\",r\" Modified varying $g_s$ model\",r\"Modified constant $g_s$ model\", \"PT model\"]\n", "Marker_style = [\"o\",\"s\", \">\", \"<\", \"d\"]\n", "colors = [\"steelblue\",\"orange\", \"magenta\", \"green\",\"red\"]\n", "\n", "fig, axe = plt.subplots(2,3,figsize = (20,15), sharey = True)\n", "\n", "for a, ax, title in zip(range(len(Sites)), axe.flatten(),SiteTitle):\n", " print(f\"------------------- {Sites[a]} -----------------\")\n", "\n", " # select one site (Howard Springs)\n", " ds = xr.open_mfdataset(eddy_files[a])\n", " ds_orig = ds.copy()\n", " # Filtering out data gaps marked as -9999\n", " ds = ds_orig.where(ds_orig != -9999.) \n", " ds_all = ds.copy()\n", " \n", " for model, spec_bounds, model_label, model_marker, model_color in zip(model_list, Bounds, ListLabel, Marker_style, colors):\n", " \n", " YearsPlot = []\n", " RmsePlotVar = []\n", " \n", " for j in range(len(Liste_years[a])):\n", " \n", " # select the data\n", " Data = DataChose(ds,str(Liste_years[a][j]),fPAR_data_process(fPAR_files[a],dates_fPAR))\n", " \n", " if model != PM_run_classic:\n", " coeff_calib = calibration(Data,model,bounds = spec_bounds)\n", " timeSerie = model(Data, coeff_calib[0], coeff_calib[1])\n", " else:\n", " timeSerie = model(Data)\n", " RMSE_val = RMSE(Data.Fe.to_numpy()*60*60*24, timeSerie*60*60*24)\n", " \n", " YearsPlot.append(Liste_years[a][j])\n", " RmsePlotVar.append(RMSE_val)\n", " \n", " ax.plot(YearsPlot,RmsePlotVar,marker = model_marker, label = model_label, color = model_color)\n", " ax.set_xlabel(\"Year\", size = 18)\n", " ax.set_ylabel(r\"RMSE $[mm.day^{-1}]$\", size = 18)\n", " ax.set_title(title, size = 18)\n", " ax.legend(loc = 1,prop={'size': 13})\n", "plt.savefig(different_sites, dpi = 150)" ] }, { "cell_type": "markdown", "id": "tropical-sweden", "metadata": {}, "source": [ "## References\n", "* Barton, 1979, *A parameterization of the evaporation from nonsaturated surfaces*. In:Journal of **AppliedMeteorologyvol. 18, no. 1, pp. 43–47.**\n", "\n", "* Fisher, J. B., Tu, K. P., and Baldocchi, D. D., 2008 *Global estimates of the land–atmosphere water fluxbased on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites* In: **Remote Sensing ofEnvironmentvol. 112, no. 3, pp. 901–919.**\n", "\n", "* Martens, B., Miralles, D. G., Lievens, H., Van Der Schalie, R., De Jeu, R. A., Fernández-Prieto, D., Beck, H. E.,Dorigo, W. A., and Verhoest, N. E, 2017 *GLEAM v3: Satellite-based land evaporation and root-zonesoil moisture* In:**Geoscientific Model Developmentvol. 10, no. 5, pp. 1903–1925**\n", "\n", "* Miralles, D. G., Holmes, T., De Jeu, R., Gash, J., Meesters, A., and Dolman, A, 2011 *Global land-surfaceevaporation estimated from satellite-based observations* In:**Hydrology and Earth System Sciencesvol. 15, no. 2, pp. 453–469**" ] }, { "cell_type": "code", "execution_count": null, "id": "regulated-packet", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.6" }, "toc-showcode": false, "toc-showmarkdowntxt": false, "toc-showtags": false }, "nbformat": 4, "nbformat_minor": 5 }