GFSArchive

class ufs2arco.sources.GFSArchive(t0: dict, fhr: dict, variables: list | tuple | None = None, levels: list | tuple | None = None, use_nearest_levels: bool | None = False, slices: dict | None = None, accum_hrs: dict | None = None)

Access 1/4 degree archives of NOAA’s Global Forecast System (GFS) via:

• if before 2021: UCAR Research Data Archive (RDA)

  • https://rda.ucar.edu/datasets/d084001

  • https://rda.ucar.edu/datasets/d084003

• after 2021: AWS at https://registry.opendata.aws/noaa-gfs-bdp-pds/

Methods

GFSArchive.__init__(t0, fhr[, variables, ...])
GFSArchive.add_full_extra_coords(xds)	An optional routine that builds extra coordinates if needed, see example in ensemble_forecast.py.
GFSArchive.apply_slices(xds)	Apply any slices, for now just data selection via "sel" or "isel" Note that this is the first transformation, so slicing options relate to the standard dimensions:
GFSArchive.open_grib(dims, file_suffix, ...)	Open a single GRIB file.
GFSArchive.open_sample_dataset(dims, ...[, ...])

Attributes

GFSArchive.available_levels	Built-in immutable sequence.
GFSArchive.available_variables	Built-in immutable sequence.
GFSArchive.dynamic_vars
GFSArchive.file_suffixes
GFSArchive.horizontal_dims
GFSArchive.name
GFSArchive.rename	Use this to map whatever the original source is to the ufs2arco standards...which need to be documented
GFSArchive.sample_dims
GFSArchive.static_vars