A Python package for downloading and processing ERA5 climate data.
Install the latest release from PyPI:
pip install varunayanFor development, clone the repository and install it locally:
pip install -e .Quickly extract ERA5 processed data with the help of varunayan from the command line:
- either by providing a GeoJSON file to define the area of interest
varunayan geojson --request-id "request_name" --variables "var1,var2,etc." --start "yyyy-mm-dd" --end "yyyy-mm-dd" --geojson "your_file.geojson" --dataset-type "dataset_type" --pressure-levels "pressure_level_1,pressure_level_2,etc." --freq "frequency" --res "resolution"- or by providing a bounding box to define the area of interest
varunayan bbox --request-id "request_name" --variables "var1,var2,etc." --start "yyyy-mm-dd" --end "yyyy-mm-dd" --north "north_bound" --south "south_bound" --east "east_bound" --west "west_bound" --dataset-type "dataset_type" --pressure-levels "pressure_level_1,pressure_level_2,etc." --freq "frequency" --res "resolution"- or by providing coordinates of the location
varunayan point --request-id "request_name" --variables "var1,var2,etc." --start "yyyy-mm-dd" --end "yyyy-mm-dd" --lat "latitude" --lon "longitude" --dataset-type "dataset_type" --pressure-levels "pressure_level_1,pressure_level_2,etc." --freq "frequency"The arguments dataset-type (single by default), pressure-levels (empty by default), freq (hourly by default) and res (0.25 by default) are optional.
Example command for extracting pressure-level data for a bounding box
varunayan bbox --request-id "test" --variables "temperature,relative_humidity" --start "2024-01-1" --end "2024-01-15" --north 30 --south 20 --east 80 --west 70 --dataset-type pressure --pressure-levels "1000,900" --freq daily --res 0.25Please visit our documentation page for detailed documentation.
Contributions are welcome! Please feel free to submit a Pull Request.
This project is licensed under the MIT License - see the LICENSE file for details.