preprocessing_era5.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download ERA5 summer mean variables at pressure levels\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "import creampy\n",
    "from creampy.dataproducts import Pressure, Surface \n",
    "import xarray as xr\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ERA5 pressure levels, variables q u v p, monthly resolution, domain \n",
    "variables =  ['geopotential', 'specific_humidity', 'u_component_of_wind',\n",
    "            'v_component_of_wind']\n",
    "\n",
    "variables = ['surface_pressure']\n",
    "\n",
    "\n",
    "variables = ['precipitation', 'large_scale_precipitation', 'convective_precipitation']\n",
    "\n",
    "#variables= ['vertical_integral_of_eastward_water_vapour_flux', 'vertical_integral_of_northward_water_vapour_flux', 'geopotential']\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download ERA5 data for TPV case 2008"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on ERA5 in module creampy.dataproducts object:\n",
      "\n",
      "class ERA5(builtins.object)\n",
      " |  Class for with metadata for different ERA5 data products. This class provides an interface to facilitate the download of ERA5 data products from the Copernicus server. \n",
      " |  \n",
      " |  \n",
      " |  Attributes:\n",
      " |  -----------\n",
      " |  product(str): supported products are land, single-level, pressure-level\n",
      " |  resolution(str): hourly or monthly\n",
      " |  variables(list): list with ERA5 variable(s) (check https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation for all available variables)\n",
      " |  domain(list): list with strings to select region  [lat2,lon1,lat1,lon2], if None: global data is downloaded\n",
      " |  path(str): name of directory where data download is stored: cache/\n",
      " |  files(list): list with file paths, once the data for a specific data product and subsetting is has been downloaded\n",
      " |  \n",
      " |  Methods defined here:\n",
      " |  \n",
      " |  __init__(self, product, variables, resolution, domain=None)\n",
      " |      Initialize self.  See help(type(self)) for accurate signature.\n",
      " |  \n",
      " |  get_data_for_composites(self, composites)\n",
      " |      Downloads ERA5 data for hourly (non-consecutive) timesteps, where each timestep is saved as a separate file. Since the timesteps do not need to be consecutive, the function enables the download for climate composites.\n",
      " |      \n",
      " |      Parameter:\n",
      " |      ----------\n",
      " |      \n",
      " |      composites: list with timesteps asy,  dateime format (containing year, month, day, hour for each timestep)\n",
      " |  \n",
      " |  get_data_for_range(self, start, end)\n",
      " |      Download ERA5 for a given range.\n",
      " |      \n",
      " |      Parameter:\n",
      " |      ----------\n",
      " |      \n",
      " |      start(datetime.datetime): start time\n",
      " |      end(datetime.datetime): end time\n",
      " |  \n",
      " |  get_data_per_year(self, years, months=None, days=None, hours=None, pressure_levels=None)\n",
      " |      Downloads ERA5 data for a specific year or multiple years at hourly or monthly resolution. The output data is stored seperately for each year.\n",
      " |      \n",
      " |      Parameter:\n",
      " |      ----------\n",
      " |      \n",
      " |      years(list): string list with year(s) to download at hourly or monthly resolution\n",
      " |      \n",
      " |      optional:\n",
      " |      ----------\n",
      " |      \n",
      " |      months(list): string list with months, if None: all months are downloaded\n",
      " |      days(list): string list with days, if None: all days are downloaded\n",
      " |      hours(list): string list with hours, if None: all hours are downloaded for hourly data and monthly means\n",
      " |  \n",
      " |  get_files(self)\n",
      " |  \n",
      " |  ----------------------------------------------------------------------\n",
      " |  Data descriptors defined here:\n",
      " |  \n",
      " |  __dict__\n",
      " |      dictionary for instance variables (if defined)\n",
      " |  \n",
      " |  __weakref__\n",
      " |      list of weak references to the object (if defined)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(era5_pressure)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": []
  },
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   "execution_count": null,
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2011_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:39:34,539 INFO Request is queued\n",
      "2020-12-10 13:39:35,580 INFO Request is running\n",
      "2020-12-10 13:39:39,411 INFO Request is completed\n",
      "2020-12-10 13:39:39,414 INFO Downloading http://136.156.132.110/cache-compute-0001/cache/data0/adaptor.mars.internal-1607603974.6319916-17597-22-42b51a91-3c95-4b1f-ab85-cfc1019262b3.nc to cache/era5_single-levels-monthly-means_2012_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:39:40,036 INFO Download rate 1021.9K/s\n",
      "2020-12-10 13:39:40,237 INFO Welcome to the CDS\n",
      "2020-12-10 13:39:40,239 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2012_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:39:40,293 INFO Request is queued\n",
      "2020-12-10 13:40:12,764 INFO Request is completed\n",
      "2020-12-10 13:40:12,767 INFO Downloading http://136.156.133.36/cache-compute-0010/cache/data9/adaptor.mars.internal-1607604002.8368676-29369-3-b2f6fb0c-e8ad-41db-a8ed-6bedb83c5db8.nc to cache/era5_single-levels-monthly-means_2013_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:40:13,275 INFO Download rate 1.2M/s \n",
      "2020-12-10 13:40:13,441 INFO Welcome to the CDS\n",
      "2020-12-10 13:40:13,442 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n",
      "2020-12-10 13:40:13,499 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2013_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:40:45,968 INFO Request is completed\n",
      "2020-12-10 13:40:45,971 INFO Downloading http://136.156.132.236/cache-compute-0007/cache/data0/adaptor.mars.internal-1607604040.6716995-13329-29-b543cdc9-d108-4d3a-8e5f-abaac8b9f5cb.nc to cache/era5_single-levels-monthly-means_2014_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:40:46,211 INFO Download rate 2.6M/s \n",
      "2020-12-10 13:40:46,390 INFO Welcome to the CDS\n",
      "2020-12-10 13:40:46,392 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n",
      "2020-12-10 13:40:46,448 INFO Request is queued\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2014_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:40:54,728 INFO Request is running\n",
      "2020-12-10 13:40:59,918 INFO Request is completed\n",
      "2020-12-10 13:40:59,919 INFO Downloading http://136.156.133.37/cache-compute-0011/cache/data8/adaptor.mars.internal-1607604052.7199588-15001-12-c32a82ab-fc83-4097-b9f1-430d27313a0c.nc to cache/era5_single-levels-monthly-means_2015_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:41:00,153 INFO Download rate 2.7M/s \n",
      "2020-12-10 13:41:00,327 INFO Welcome to the CDS\n",
      "2020-12-10 13:41:00,330 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2015_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:41:00,562 INFO Request is queued\n",
      "2020-12-10 13:41:01,598 INFO Request is running\n",
      "2020-12-10 13:41:05,425 INFO Request is completed\n",
      "2020-12-10 13:41:05,427 INFO Downloading http://136.156.133.25/cache-compute-0008/cache/data9/adaptor.mars.internal-1607604060.7227461-18390-3-aaed514e-1643-48e7-bab9-3118eb4ab796.nc to cache/era5_single-levels-monthly-means_2016_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:41:05,658 INFO Download rate 2.7M/s \n",
      "2020-12-10 13:41:05,833 INFO Welcome to the CDS\n",
      "2020-12-10 13:41:05,835 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2016_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:41:05,897 INFO Request is queued\n",
      "2020-12-10 13:41:10,778 INFO Request is running\n",
      "2020-12-10 13:41:14,195 INFO Request is completed\n",
      "2020-12-10 13:41:14,200 INFO Downloading http://136.156.132.198/cache-compute-0003/cache/data0/adaptor.mars.internal-1607604068.8276503-7025-1-5dcca176-6265-4903-9b29-0553c8071aff.nc to cache/era5_single-levels-monthly-means_2017_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:41:14,429 INFO Download rate 2.7M/s \n",
      "2020-12-10 13:41:14,602 INFO Welcome to the CDS\n",
      "2020-12-10 13:41:14,603 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2017_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-12-10 13:41:14,745 INFO Request is queued\n",
      "2020-12-10 13:41:35,748 INFO Request is completed\n",
      "2020-12-10 13:41:35,749 INFO Downloading http://136.156.132.110/cache-compute-0001/cache/data7/adaptor.mars.internal-1607604090.7411528-32688-18-b521348e-1d39-499a-ae4f-520db5497ab0.nc to cache/era5_single-levels-monthly-means_2018_months56789_2m_temperature_60,50,10,130.nc (633.2K)\n",
      "2020-12-10 13:41:36,271 INFO Download rate 1.2M/s \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels-monthly-means_2018_months56789_2m_temperature_60,50,10,130.nc\n",
      "omittted download for  era5_single-levels-monthly-means_2019_months56789_2m_temperature_60,50,10,130.nc\n"
     ]
    }
   ],
   "source": [
    "era5_pressure = creampy.dataproducts.ERA5('single-levels', variables, 'monthly', domain = ['60', '50', '10','130'])\n",
    "\n",
    "\n",
    "era5_pressure.get_data_per_year(np.arange(2008,2020).astype(str),  months = ['5', '6', '7', '8', '9'])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download water vapor transport "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download ERA5 data for 2D precip\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ERA5 pressure levels, variables q u v p, monthly resolution, domain \n",
    "variables = ['convective_precipitation', 'large_scale_precipitation', 'total_precipitation']\n",
    "variables = ['vertically_integrated_moisture_divergence']\n",
    "era5_single= creampy.dataproducts.ERA5('single-levels', variables, 'monthly', domain = ['60', '50', '10','130'] )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-09-16 16:35:25,551 INFO Welcome to the CDS\n",
      "2020-09-16 16:35:25,552 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels-monthly-means\n",
      "2020-09-16 16:35:26,363 INFO Request is queued\n",
      "2020-09-16 16:35:28,946 INFO Request is running\n",
      "2020-09-16 16:35:47,374 INFO Request is failed\n",
      "2020-09-16 16:35:47,375 ERROR Message: no data is available within your requested subset\n",
      "2020-09-16 16:35:47,376 ERROR Reason:  Request returned no data\n",
      "2020-09-16 16:35:47,376 ERROR   Traceback (most recent call last):\n",
      "2020-09-16 16:35:47,376 ERROR     File \"/opt/cdstoolbox/cdscompute/cdscompute/cdshandlers/services/handler.py\", line 49, in handle_request\n",
      "2020-09-16 16:35:47,377 ERROR       result = cached(context.method, proc, context, context.args, context.kwargs)\n",
      "2020-09-16 16:35:47,377 ERROR     File \"/opt/cdstoolbox/cdscompute/cdscompute/caching.py\", line 108, in cached\n",
      "2020-09-16 16:35:47,378 ERROR       result = proc(context, *context.args, **context.kwargs)\n",
      "2020-09-16 16:35:47,379 ERROR     File \"/opt/cdstoolbox/cdscompute/cdscompute/services.py\", line 118, in __call__\n",
      "2020-09-16 16:35:47,379 ERROR       return p(*args, **kwargs)\n",
      "2020-09-16 16:35:47,379 ERROR     File \"/opt/cdstoolbox/cdscompute/cdscompute/services.py\", line 59, in __call__\n",
      "2020-09-16 16:35:47,380 ERROR       return self.proc(context, *args, **kwargs)\n",
      "2020-09-16 16:35:47,380 ERROR     File \"/home/cds/cdsservices/services/mars.py\", line 347, in internal\n",
      "2020-09-16 16:35:47,380 ERROR       return mars(context, request, **kwargs)\n",
      "2020-09-16 16:35:47,380 ERROR     File \"/home/cds/cdsservices/services/mars.py\", line 48, in mars\n",
      "2020-09-16 16:35:47,381 ERROR       execute_mars(context, requests)\n",
      "2020-09-16 16:35:47,381 ERROR     File \"/home/cds/cdsservices/services/mars.py\", line 196, in execute_mars\n",
      "2020-09-16 16:35:47,381 ERROR       raise NoDataException(\"Request returned no data\", '')\n",
      "2020-09-16 16:35:47,381 ERROR   cdsinf.exceptions.NoDataException: Request returned no data\n"
     ]
    },
    {
     "ename": "Exception",
     "evalue": "no data is available within your requested subset. Request returned no data.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mException\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-6057ccc2053e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;31m# download data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mera5_single\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data_per_year\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0myears\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m1979\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2020\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmonths\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0marange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\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[0m",
      "\u001b[0;32m/media/juli/Data/projects/moisture_transport/moisture_transport/creampy/dataproducts.py\u001b[0m in \u001b[0;36mget_data_per_year\u001b[0;34m(self, years, months, days, hours, pressure_levels)\u001b[0m\n\u001b[1;32m    125\u001b[0m                         \u001b[0;34m\"day\"\u001b[0m\u001b[0;34m:\u001b[0m           \u001b[0mdays\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m                         \u001b[0;34m\"time\"\u001b[0m\u001b[0;34m:\u001b[0m          \u001b[0mhours\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 127\u001b[0;31m                     }, filepath)\n\u001b[0m\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m                     \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'file downloaded and saved as '\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilepath\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/cdsapi/api.py\u001b[0m in \u001b[0;36mretrieve\u001b[0;34m(self, name, request, target)\u001b[0m\n\u001b[1;32m    308\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    309\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mretrieve\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\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--> 310\u001b[0;31m         \u001b[0mresult\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_api\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'%s/resources/%s'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0murl\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'POST'\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    311\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtarget\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    312\u001b[0m             \u001b[0mresult\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdownload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtarget\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/cdsapi/api.py\u001b[0m in \u001b[0;36m_api\u001b[0;34m(self, url, request, method)\u001b[0m\n\u001b[1;32m    442\u001b[0m                         \u001b[0;32mbreak\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    443\u001b[0m                     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"  %s\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 444\u001b[0;31m                 \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"%s. %s.\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'message'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'reason'\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[0m\u001b[1;32m    445\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    446\u001b[0m             \u001b[0;32mraise\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'Unknown API state [%s]'\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mreply\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'state'\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[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mException\u001b[0m: no data is available within your requested subset. Request returned no data."
     ]
    }
   ],
   "source": [
    "# download data \n",
    "era5_single.get_data_per_year(years = list(np.arange(1979,2020).astype(str)), months = list(np.arange(5,10).astype(str)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hourly ERA5 precip data for wavelet spectrum analysis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 12:45:32,830 INFO Welcome to the CDS\n",
      "2020-08-27 12:45:32,830 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "omittted download for  era5_single-levels_1982_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 12:45:32,985 INFO Request is completed\n",
      "2020-08-27 12:45:32,985 INFO Downloading http://136.156.133.37/cache-compute-0011/cache/data0/adaptor.mars.internal-1598523527.6131334-13236-5-df077f2a-727c-45c0-bda7-61915060dd85.nc to cache/era5_single-levels_1983_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 12:49:05,777 INFO Download rate 8.5M/s   \n",
      "2020-08-27 12:49:06,119 INFO Welcome to the CDS\n",
      "2020-08-27 12:49:06,119 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1983_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 12:49:06,605 INFO Request is queued\n",
      "2020-08-27 12:49:07,638 INFO Request is running\n",
      "2020-08-27 13:15:26,808 INFO Request is completed\n",
      "2020-08-27 13:15:26,809 INFO Downloading http://136.156.132.105/cache-compute-0000/cache/data0/adaptor.mars.internal-1598525346.7679303-27924-39-50b2fff2-ee1b-40ff-b688-ffb205580915.nc to cache/era5_single-levels_1984_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 13:18:48,679 INFO Download rate 9M/s     \n",
      "2020-08-27 13:18:49,453 INFO Welcome to the CDS\n",
      "2020-08-27 13:18:49,453 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1984_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 13:18:51,120 INFO Request is queued\n",
      "2020-08-27 13:18:53,688 INFO Request is running\n",
      "2020-08-27 13:43:11,156 INFO Request is completed\n",
      "2020-08-27 13:43:11,157 INFO Downloading http://136.156.133.42/cache-compute-0014/cache/data7/adaptor.mars.internal-1598527132.788269-23651-19-ef198261-438c-49c6-a86d-9aa038cfb28a.nc to cache/era5_single-levels_1985_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 13:46:29,939 INFO Download rate 9.1M/s   \n",
      "2020-08-27 13:46:30,369 INFO Welcome to the CDS\n",
      "2020-08-27 13:46:30,369 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1985_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 13:46:30,620 INFO Request is queued\n",
      "2020-08-27 13:46:31,654 INFO Request is running\n",
      "2020-08-27 14:12:50,652 INFO Request is completed\n",
      "2020-08-27 14:12:50,652 INFO Downloading http://136.156.133.41/cache-compute-0013/cache/data5/adaptor.mars.internal-1598528791.1314566-24312-21-c03e91f6-391e-4ac0-8ecd-d7b4ffe62a08.nc to cache/era5_single-levels_1986_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 14:16:19,991 INFO Download rate 8.6M/s   \n",
      "2020-08-27 14:16:20,811 INFO Welcome to the CDS\n",
      "2020-08-27 14:16:20,812 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1986_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 14:16:25,218 INFO Request is queued\n",
      "2020-08-27 14:16:26,251 INFO Request is running\n",
      "2020-08-27 14:40:45,286 INFO Request is completed\n",
      "2020-08-27 14:40:45,287 INFO Downloading http://136.156.133.46/cache-compute-0015/cache/data6/adaptor.mars.internal-1598530586.1858952-4724-7-3ab266c2-3f03-428a-9906-ed11fba2f5c0.nc to cache/era5_single-levels_1987_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 14:44:55,564 INFO Download rate 7.2M/s   \n",
      "2020-08-27 14:44:56,382 INFO Welcome to the CDS\n",
      "2020-08-27 14:44:56,383 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1987_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 14:44:56,501 INFO Request is queued\n",
      "2020-08-27 14:44:57,535 INFO Request is running\n",
      "2020-08-27 15:09:16,477 INFO Request is completed\n",
      "2020-08-27 15:09:16,478 INFO Downloading http://136.156.132.236/cache-compute-0007/cache/data9/adaptor.mars.internal-1598532296.7733698-20004-1-8c5a101e-2142-41a2-bf7f-4cfd327dcbef.nc to cache/era5_single-levels_1988_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      "2020-08-27 15:13:18,161 INFO Download rate 7.5M/s   \n",
      "2020-08-27 15:13:19,130 INFO Welcome to the CDS\n",
      "2020-08-27 15:13:19,131 INFO Sending request to https://cds.climate.copernicus.eu/api/v2/resources/reanalysis-era5-single-levels\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "file downloaded and saved as  cache/era5_single-levels_1988_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2020-08-27 15:13:20,744 INFO Request is queued\n",
      "2020-08-27 15:13:23,313 INFO Request is running\n",
      "2020-08-27 15:35:40,665 INFO Request is completed\n",
      "2020-08-27 15:35:40,665 INFO Downloading http://136.156.133.25/cache-compute-0008/cache/data4/adaptor.mars.internal-1598534002.8744597-29096-3-d4e5f276-7268-4b31-a4c0-f68e896acd4f.nc to cache/era5_single-levels_1989_months56789_convective_precipitationlarge_scale_precipitationtotal_precipitationevaporation_60,50,10,130.nc (1.8G)\n",
      " 68%|██████▊   | 1.20G/1.77G [02:39<18:12, 551kB/s] "
     ]
    }
   ],
   "source": [
    "# ERA5 pressure levels, variables q u v p, monthly resolution, domain \n",
    "variables = ['convective_precipitation', 'large_scale_precipitation', 'total_precipitation', 'evaporation']\n",
    "era5_single= creampy.dataproducts.ERA5('single-levels', variables, 'hourly', domain = ['60', '50', '10','130'] )\n",
    "\n",
    "# download data \n",
    "era5_single.get_data_per_year(years = list(np.arange(1982,2020).astype(str)), months = list(np.arange(5,10).astype(str)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hourly data for eddy calculation "
   ]
  }
 ],
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