Save GEOGLOWS datasets to disc

geoglows-data-to-disc.py

import geoglows

# get a list of river id numbers you are interested in downloading
river_ids = [710431167, ]


# Pandas DataFrames and Xarray Datasets each support several output formats
# Use the function for the file format you want and provide a file path for the output

# example using DataFrames - works for both forecasts and retrospective data
df = geoglows.data.forecast(river_id=river_ids, format='df')
df.to_parquet('./forecast_data.parquet')
df.to_csv('./forecast_data.csv')
df.to_excel('./forecast_data.xlsx')

# example using Datsets - works for both forecasts and retrospective data
ds = geoglows.data.retrospective(river_id=river_ids, format='xarray')
ds.to_netcdf('./forecast_data.nc')
ds.to_zarr('./forecast_data.zarr')