The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 71, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
WPS_GEOG static geography mirror (ArWen)
A byte-for-byte mirror of the nine standard NCAR WPS v4
geographical (static) dataset tarballs that
ArWen's static builder
reads -- republished here for CDN bandwidth. The authoritative source
is NCAR/UCAR's WPS geographical data distribution:
https://www2.mmm.ucar.edu/wrf/users/download/get_sources_wps_geog.html
(tarballs under https://www2.mmm.ucar.edu/wrf/src/wps_files/). Nothing is modified: each file
here is the NCAR tarball as downloaded on 2026-07-29, and the SHA-256
pins below are enforced by gpuwm fetch-geog for downloads from this
mirror and from NCAR alike.
Fetch
pip install gpuwm
gpuwm fetch-geog # this mirror, verified against the pins
gpuwm fetch-geog --source ncar # upstream instead
Or plain HTTPS: .../resolve/main/<filename> and untar the nine
tarballs into one directory. MANIFEST.sha256 is sha256sum -c
compatible.
Pinned contents
| file | bytes | sha256 |
|---|---|---|
topo_gmted2010_30s.tar.bz2 |
182,721,518 | 20e02ef61b16c8d66753db8f1ede0edc0ac74e6e1b87961cdbdc483040ff22d7 |
modis_landuse_20class_30s_with_lakes.tar.bz2 |
32,532,921 | fe052cc1000638c32ac7191c779ad070efae458ff0751bc4aa2a716e38bec578 |
soiltype_top_30s.tar.bz2 |
1,639,561 | 6d45d93cc0d14ac4019f1a2857e56fb1fbc860f135e12d89fc0a569278242315 |
soiltype_bot_30s.tar.bz2 |
1,919,818 | 818febf2d141a46152f0990877e3ca15fd23a61961d978f71f5fdd0ea80bb335 |
greenfrac_fpar_modis.tar.bz2 |
990,624,380 | a31d44c7b0c3dfcbaf933b3c30b4c6e52762a3451cf4e1951d7b49f3751b4d03 |
lai_modis_10m.tar.bz2 |
2,604,794 | 7dfe8e2a7c48c085c8d180ffda993ce878b3c054ed7e5c185414c1993b913ebf |
albedo_modis.tar.bz2 |
77,919,797 | cf0d3df8e6b07a2dc7222a0cbc023205a991859395292dc6161597faf02f8e6f |
maxsnowalb_modis.tar.bz2 |
4,446,019 | eca29b1707e184c942eb8f1bfdbafbb4e6650cb97c15784c293fda39e24c1371 |
soiltemp_1deg.tar.bz2 |
31,057 | c407c0b1d9d864ff49708fa3b6ba2f17078535ccfc05a944024ad052e5f914d4 |
Provenance and attribution
These datasets are assembled and distributed publicly by NCAR/UCAR for the WRF ecosystem (the NCAR download page attaches no license or citation text). Underlying sources:
| dataset | contents | ultimate source |
|---|---|---|
topo_gmted2010_30s |
30-arc-second terrain elevation | USGS/NGA GMTED2010 (Danielson & Gesch 2011, USGS OFR 2011-1073); U.S. public domain |
modis_landuse_20class_30s_with_lakes |
Noah-modified 20-category IGBP land use with inland lakes | NASA MODIS (MCD12Q1-derived); NASA data are free and open |
soiltype_top_30s |
16-category top-layer soil texture | hybrid STATSGO (USDA, public domain) + FAO Digital Soil Map of the World |
soiltype_bot_30s |
16-category bottom-layer soil texture | hybrid STATSGO (USDA, public domain) + FAO Digital Soil Map of the World |
greenfrac_fpar_modis |
monthly green-vegetation-fraction climatology | NASA MODIS FPAR; NASA data are free and open |
lai_modis_10m |
monthly leaf-area-index climatology (10 arc-min) | NASA MODIS; NASA data are free and open |
albedo_modis |
monthly surface albedo climatology | NASA MODIS; NASA data are free and open |
maxsnowalb_modis |
maximum snow albedo | MODIS-derived (Barlage et al. 2005); NASA data are free and open |
soiltemp_1deg |
1-degree annual-mean deep-soil temperature climatology | distributed with WPS by NCAR; ultimate source not stated on NCAR's pages |
If you publish work built on these fields, credit NCAR/UCAR's WPS geographical data distribution and the underlying providers (USGS for GMTED2010; NASA for the MODIS-derived fields).
Update policy
This mirror tracks the pins packaged in gpuwm.geog_assets -- it is
re-snapshotted only together with a gpuwm release that updates those
pins, never silently.
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