wget_curl.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Access via `curl` or `wget`\n",
    "\n",
    "Data easily available via `climetlab`: https://github.com/ecmwf-lab/climetlab-s2s-ai-challenge\n",
    "\n",
    "Data holdings listed:\n",
    "\n",
    "- https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/test-input/0.3.0/netcdf/index.html\n",
    "- https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/training-input/0.3.0/netcdf/index.html\n",
    "- https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/test-output-reference/index.html\n",
    "- https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/training-output-reference/index.html\n",
    "\n",
    "Therefore, S3 data also accessible with `curl` or `wget`. Alternatively, you can click on the html links and download files by mouse click."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.8/site-packages/xarray/backends/cfgrib_.py:27: UserWarning: Failed to load cfgrib - most likely there is a problem accessing the ecCodes library. Try `import cfgrib` to get the full error message\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<xarray.core.options.set_options at 0x7f5170570520>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import xarray as xr\n",
    "import os\n",
    "from subprocess import call\n",
    "xr.set_options(display_style='text')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# version of the EWC data\n",
    "version = '0.3.0'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `hindcast-input`\n",
    "\n",
    "on-the-fly hindcasts corresponding to the 2020 forecasts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "parameter = 't2m'\n",
    "date = '20200102'\n",
    "model = 'ecmwf'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = f'https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/training-input/{version}/netcdf/{model}-hindcast-{parameter}-{date}.nc'\n",
    "os.system(f'wget {url}')\n",
    "\n",
    "assert os.path.exists(f'{model}-hindcast-{parameter}-{date}.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `forecast-input`\n",
    "\n",
    "2020"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = f'https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/test-input/{version}/netcdf/{model}-forecast-{parameter}-{date}.nc'\n",
    "os.system(f'wget {url}')\n",
    "\n",
    "assert os.path.exists(f'{model}-forecast-{parameter}-{date}.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `hindcast-like-observations`\n",
    "\n",
    "CPC observations formatted like training period hindcasts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = f'https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/training-output-reference/{parameter}-{date}.nc'\n",
    "os.system(f'wget {url}')\n",
    "\n",
    "assert os.path.exists(f'{parameter}-{date}.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# `forecast-like-observations`\n",
    "\n",
    "CPC observations formatted like test period 2020 forecasts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "url = f'https://storage.ecmwf.europeanweather.cloud/s2s-ai-challenge/data/test-output-reference/{parameter}-{date}.nc'\n",
    "os.system(f'wget {url}')\n",
    "\n",
    "assert os.path.exists(f'{parameter}-{date}.nc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "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"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}