xwrf-data

Data repository for xwrf documentation, tutorials, testing

Sample data sets

These files are used as sample data in xwrf testing suites, tutorials, and documentation. These data sets can be downloaded via the xwrf tutorial module. See the documentation for more information.

dummy.nc: A dummy file for testing purposes
dummy_attrs_only.nc: A dummy file with only attributes for testing purposes
dummy_salem_parsed.nc: dummy.nc as parsed by Salem for testing purposes
geo_em_d01_polarstereo.nc: Polar stereographic sample from Salem
geo_em_d02_polarstereo.nc: Polar stereographic with inner nest sample from Salem
lambert_conformal_sample.nc: Retrieved from https://api.blika.is/static/wrfout_example.nc
mercator_sample.nc: Retrieved from NCAR/wrf-pyton
ideal.nc: Idealised (cartesian) sample
tiny.nc: A tiny file for testing purposes
met_em.d01.2005-08-28_12:00:00.nc: Metgrid ouput from openwfm
wrfout_d01_2099-10-01_00:00:00.nc: CMIP6 GCMs downscaled using WRF, accessed on 2022-09-16 from https://registry.opendata.aws/wrf-cmip6.

Sample Intake Catalog

We also include an intake catalog, which makes use of intake-xarray.

You can access this data catalog using the following syntax:

import intake

# Read in the data catalog from github
cat = intake.open_catalog('https://raw.githubusercontent.com/xarray-contrib/xwrf-data/main/catalogs/catalog.yml')

# Read one of the sample datasets
ds = cat["xwrf-sample-ssp245"].to_dask()

ds

<xarray.Dataset>
Dimensions:                (Time: 124, south_north: 340, west_east: 270,
                            bottom_top_stag: 40, bottom_top: 39,
                            soil_levels_or_lake_levels_stag: 10,
                            snow_and_soil_levels_stag: 15, soil_layers_stag: 4,
                            seed_dim_stag: 2, west_east_stag: 271,
                            south_north_stag: 341, snow_layers_stag: 3,
                            interface_levels_stag: 16, snso_layers_stag: 7)
Coordinates:
  * Time                   (Time) float64 nan 1.0 2.0 3.0 ... 121.0 122.0 123.0
    XLAT                   (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    XLAT_U                 (Time, south_north, west_east_stag) float32 dask.array<chunksize=(1, 340, 271), meta=np.ndarray>
    XLAT_V                 (Time, south_north_stag, west_east) float32 dask.array<chunksize=(1, 341, 270), meta=np.ndarray>
    XLONG                  (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    XLONG_U                (Time, south_north, west_east_stag) float32 dask.array<chunksize=(1, 340, 271), meta=np.ndarray>
    XLONG_V                (Time, south_north_stag, west_east) float32 dask.array<chunksize=(1, 341, 270), meta=np.ndarray>
    XTIME                  (Time) float32 dask.array<chunksize=(1,), meta=np.ndarray>
Dimensions without coordinates: south_north, west_east, bottom_top_stag,
                                bottom_top, soil_levels_or_lake_levels_stag,
                                snow_and_soil_levels_stag, soil_layers_stag,
                                seed_dim_stag, west_east_stag,
                                south_north_stag, snow_layers_stag,
                                interface_levels_stag, snso_layers_stag
Data variables: (12/283)
    ACGRDFLX               (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ACHFX                  (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ACLHF                  (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ACLWDNB                (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ACLWDNBC               (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ACLWDNT                (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    ...                     ...
    ZNU                    (Time, bottom_top) float32 dask.array<chunksize=(1, 39), meta=np.ndarray>
    ZNW                    (Time, bottom_top_stag) float32 dask.array<chunksize=(1, 40), meta=np.ndarray>
    ZS                     (Time, soil_layers_stag) float32 dask.array<chunksize=(1, 4), meta=np.ndarray>
    ZSNSO                  (Time, snso_layers_stag, south_north, west_east) float32 dask.array<chunksize=(1, 7, 340, 270), meta=np.ndarray>
    ZWT                    (Time, south_north, west_east) float32 dask.array<chunksize=(1, 340, 270), meta=np.ndarray>
    Z_LAKE3D               (Time, soil_levels_or_lake_levels_stag, south_north, west_east) float32 dask.array<chunksize=(1, 10, 340, 270), meta=np.ndarray>
Attributes: (12/149)
    ADAPT_DT_MAX:                    72.0
    ADAPT_DT_MIN:                    36.0
    ADAPT_DT_START:                  54.0
    AERCU_FCT:                       1.0
    AERCU_OPT:                       0
    AER_ANGEXP_OPT:                  1
    ...                              ...
    WEST-EAST_PATCH_END_STAG:        271
    WEST-EAST_PATCH_END_UNSTAG:      270
    WEST-EAST_PATCH_START_STAG:      1
    WEST-EAST_PATCH_START_UNSTAG:    1
    W_DAMPING:                       0
    YSU_TOPDOWN_PBLMIX:              0

This catalog includes the following virtual datasets created using kerchunk:

xwrf-sample-ssp245: WRF Downscaled CMIP6; SSP245; Combined virtual dataset (2099-10, d01)
xwrf-sample-ssp585: WRF Downscaled CMIP6; SSP585; Combined virtual dataset (2099-10, d01)
single-output-sample: Virtual WRF output dataset for testing purposes, consisting of a single time from xwrf-sample-ssp585 (2099-10-01T00:00)