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        "author": "USDA ARS NWRC",
        "author_email": "snow@ars.usda.gov",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication",
            "Natural Language :: English",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "# Weather Forecast Retrieval\n\n\n[![GitHub version](https://badge.fury.io/gh/USDA-ARS-NWRC%2Fweather_forecast_retrieval.svg)](https://badge.fury.io/gh/USDA-ARS-NWRC%2Fweather_forecast_retrieval)\n\nWeather forecast retrieval gathers relevant gridded weather forecasts to ingest into physically based models for water supply forecasts\n\nCurrent atmospheric models implemented:\n* [High Resolution Rapid Refresh (HRRR)](https://rapidrefresh.noaa.gov/hrrr/)\n* [Rapid Refresh (RAP)](https://rapidrefresh.noaa.gov/)\n\n## Install\n\n```\npip install weather-forecast-retrieval\n```\n\n## System dependencies\n\n### nccopy\n\n`nccopy` is used during the conversion in `grib2nc`. To install the `netCDF-C` libraries that are specific for your system. See the instructions from [Unidata](https://www.unidata.ucar.edu/software/netcdf/docs/getting_and_building_netcdf.html#sec_get_pre_built)\n\n### wgrib2\n\nTo use the `grib2nc` command/function you will have to have `wgrib2` installed on the host computer.\n\nThis is easiest done by following [NOAA instructions](https://www.cpc.ncep.noaa.gov/products/wesley/wgrib2/compile_questions.html).\nAfter completing their instructions, make wgrib2 accessible by cd into the source code and\nattempt to install it under your ~/bin with:\n\n```bash\nln wgrib2/wgrib2 ~/bin/wgrib2\n```\n\n## Docker\n\nThe retrieval aspect of `weather_forecast_retieval` has been built into a Docker image based on the Python 3 Alpine linux image. This allows for a docker deployment to run and retrieve HRRR data and convert to netcdf if needed. To use, first build the image\n\n```\ndocker build -t usdaarsnwrc/weather_forecast_retieval .\n```\n\nGrab a coffee as this has to compile `pandas` from source (10+ minutes of compile time). Once completed, modify or create a new `docker-compose.yml` and modify the volume attachments as necessary. There are 2 volumes to attach, a `data` drive mounted to `/data` and the config file folders at `/code/config`. To setup the download, the config file is passed to `docker-compose`:\n\n```\ndocker-compose run weather_forecast_retrieval /code/config/hrrr.ini\n```\n\n# Command line usage\n\n## get_hrrr_archive\n\n```\nusage: get_hrrr_archive [-h] -s START_DATE -e END_DATE -o SAVE_DIR\n                        [-f FORECASTS]\n\nCommand line tool for downloading HRRR grib files from the University of Utah\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -s START_DATE, --start START_DATE\n                        Datetime to start, ie 2018-07-22 12:00\n  -e END_DATE, --end END_DATE\n                        Datetime to end, ie 2018-07-22 13:00\n  -o SAVE_DIR, --output SAVE_DIR\n                        Path to save the downloaded files to\n  -f FORECASTS, --forecasts FORECASTS\n                        Number of forecasts to get\n\n```\n\nThe following command line will download data for a single hour and output into the `~/Downloads` folder to the file `~/Downloads/hrrr.20180722/hrrr.t12z.wrfsfcf01.grib2`:\n\n```\nget_hrrr_archive -s '2018-07-22 12:00' -e '2018-07-22 12:10' -o tests/RME/output/\n```\n\n## hrrr_preprocessor\n\nUse `hrrr_preprocessor` to make smaller files from a larger HRRR file. This will crop to a bounding box and extract the following variables:\n\n- air temperature 2m (TMP:2 m)\n- relative_humidity 2m (RH:2 m)\n- wind_u 10m (UGRD:10 m)\n- wind_v 10m (VGRD:10 m)\n- precip_int surface (APCP: surface)\n- short_wave surface (DSWRF: surface)\n- elevation (HGT:surface)\n- TCDC for entire atmosphere (for WindNinja)\n\n```bash\nusage: hrrr_preprocessor [-h] -o OUTPUT_DIR -s START_DATE -e END_DATE -f\n                         FORECAST_HR --bbox BBOX [--verbose]\n                         hrrr_dir\n\nCrop HRRR files by a bounding box and extract only the necessary surface variables for running with AWSM. \n\nExample command:\n$ hrrr_preprocessor -s '2019-10-01 00:00' -e '2019-10-01 02:00' -f 0 --bbox=\"-119,-118,37,38\" -o /path/to/output --verbose /path/to/hrrr\n\npositional arguments:\n  hrrr_dir              Directory of HRRR files to use as input\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -o OUTPUT_DIR, --output_dir OUTPUT_DIR\n                        Directory to write cropped HRRR files to\n  -s START_DATE, --start START_DATE\n                        Start date\n  -e END_DATE, --end END_DATE\n                        End date\n  -f FORECAST_HR, --forecast_hr FORECAST_HR\n                        Forecast hour\n  -n NCPU, --ncpu NCPU  Number of CPUs for wgrib2, 0 (default) will use all\n                        available\n  --bbox BBOX           Bounding box as delimited string --bbox='longitude\n                        left, longitude right, latitude bottom, latitude top'\n  --verbose             increase logging verbosity\n```\n\n## hrrr_nomads\n\nThe `hrrr_nomads` command line will download HRRR grib2 files from NOMADS. `hrrr_nomads`\nwill fetch either the latest 3 hours of files or files between a start and end date. Optionally,\nspecify the forecast hours to limit how many files are downloaded. If a bounding box and\nadditional preprocess path is specified, `hrrr_nomads` will crop the files to the variables\nneeded for running AWSM.\n\n> **_NOTE:_** Requires `wgrib2` to be installed if cropping to a bounding box.\n\nExample to download the latest 3 hours of data for files not found in the output directory,\nwith the `00`, `01` and `02` forecast hours, crop to a bounding box:\n\n```\nhrrr_nomads -l 3 -f 0,1,2 --bbox=\"-119,-118,37,38\" -o /path/to/output -p /path/to/crop/output\n```\n\nUsage:\n\n```\nusage: hrrr_nomads [-h] -o OUTPUT_DIR [-n NUM_REQUESTS] [-s START_DATE]\n                   [-e END_DATE] [-l LATEST] [-f FORECAST_HRS] [--bbox BBOX]\n                   [-p OUTPUT_PATH] [--verbose] [--overwrite]\n\nDownload from NOMADS and/or crop HRRR files by a bounding box and extract only\nthe necessary surface variables for running with AWSM.\n\nExample command to download the latest 3 hours and crop to a bounding box:\n$ hrrr_nomads -f 0 --bbox=\"-119,-118,37,38\" -o /path/to/output -p /path/to/crop/output --verbose\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -o OUTPUT_DIR, --output_dir OUTPUT_DIR\n                        Directory to download HRRR files to\n  -n NUM_REQUESTS, --num_requests NUM_REQUESTS\n                        Number of concurrent requests, default 2\n  -s START_DATE, --start START_DATE\n                        Start date\n  -e END_DATE, --end END_DATE\n                        End date\n  -l LATEST, --latest LATEST\n                        Latest number of hours to download, defaults 3 hours\n  -f FORECAST_HRS, --forecast_hrs FORECAST_HRS\n                        Forecast hours, comma seperated list\n  --bbox BBOX           Bounding box as delimited string --bbox='longitude\n                        left, longitude right, latitude bottom, latitude top'\n  -p OUTPUT_PATH, --preprocess_path OUTPUT_PATH\n                        Directory to write preprocessed HRRR files\n  --verbose             increase logging verbosity\n  --overwrite           Download and overwrite existing HRRR files\n```\n\n## convert_grib2nc\n\n## run_hrrr_retrieval",
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