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)