Geospatial¶
Dask and Xarray have revolutionized the analysis of large scale geospatial data. They make it easy for researchers to intuitively query large multi-dimensional datasets, and then run those queries at large scale.
import xarray as xr
ds = xr.open_dataset(
"s3://era5-pds/zarr/2020/01/data/eastward_wind_at_100_metres.zarr",
)
hourly_wind = (
ds['eastward_wind_at_100_metres']
.sel(lon=slice(180, None))
.coarsen(lat=2, lon=2, boundary='trim')
.mean()
)
More Examples¶
For more in-depth examples consider the following: