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Tutorials

Starting a list of things that need to go into tutorials to not forget..

  • Using xsnow with large lazy-loaded datasets
  • Writing extensions compatible with dask chunking
  • Mind sparse dimensions for data that is uniform across slopes (i.e., ds["HS_mod"].sel(location=0, time=0, slope=0) may fail since 'HS_mod' likely has no slope dimension)