easysnowdata.snow.ucla_sr.load#

easysnowdata.snow.ucla_sr.load(aoi: Any = None, time: Any = None, *, variable: str = 'SWE_Post', stats: str = 'mean', region: str = 'wus', source: str | None = None, granules: Any = None, virtualize: bool | str = 'auto', access: str = 'auto', chunks: Any = None, **kwargs: Any) → DataArray[source]#

Load the reanalysis as a lazy xarray.DataArray (time, y, x).

Parameters:

  • aoi – The usual spatial and temporal inputs.

  • time – The usual spatial and temporal inputs.

  • variable – "SWE_Post" (default), "SCA_Post" or "SD_Post".

  • stats – Ensemble statistic: "mean", "std", "median", "25pct" or "75pct".

  • region – "wus" (default) or "hma".

  • virtualize – "auto" (default) virtualizes past VIRTUALIZE_THRESHOLD granules, which is where the one-off HDF5 metadata scan pays for itself; True/False force it.

  • access – "auto" (default) uses NASA’s in-region S3 credentials when this process runs in us-west-2 and HTTPS everywhere else; "direct"/"indirect" force it.

Returns:

xarray.DataArray – The chosen variable and statistic, clipped to the AOI.