v0.3.1
What's new in 0.3.1
New datasets
MeteoSwiss recently published their spatial climate analyses as open data. The
ground-based (surface_derived_grid) and satellite-based (satellite_derived_grid)
grids were already integrated in foehn — this release adds the remaining two:
radar_derived_grid(C5) — radar-derived hail climate grids: hail-day counts (≥2 cm, ≥4 cm) and MESHS/LEHA return-period maps (2002 onward, summer half-year).climate_normals_grid(C7) — unified gridded climate normals: temperature, precipitation, and sunshine for 1961–1990 and 1991–2020, plus radiation and cloud averages for 2004–2020 (monthly and yearly).
Both are NetCDF and work with the existing open_dataset() / to_zarr() grid API:
import foehn
foehn.open_dataset("climate_normals_grid", match="tnormy9120") # yearly temp normal 1991–2020
foehn.open_dataset("radar_derived_grid", match="haildaysy") # yearly hail daysDocs
- README now surfaces gridded data (xarray/Zarr) outputs alongside the tabular ones.
- Collection and grids docs updated for the new datasets.
The existing climate_normals_* collections are unchanged and continue to work.
Full changelog: v0.3.0...v0.3.1