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vincewin/CREST_data

CREST forcing (parquet) EF5/CREST hourly forcing for CONUS, 2016-present, packed as one tar per variable/year. dir variable source cadence mrms/ precipitation MRMS QPE (corrected) hourly temp/ 2 m temperature NLDAS-2 FORA hourly pet/ potential ET FEWS NET daily PET daily Each *.tar expands to individual .pqf (Apache Arrow parquet) grids readable by the EF5 v4.5 native parquet reader. Used by the Space vincewin/CREST_AI. Download + extract one year, e.g.: from… See the full description on the dataset page: https://huggingface.co/datasets/vincewin/CREST_data.

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1---2license: cc-by-4.03---4# CREST forcing (parquet)5EF5/CREST hourly forcing for CONUS, 2016-present, packed as **one tar per variable/year**.6 7| dir | variable | source | cadence |8|-----|----------|--------|---------|9| `mrms/` | precipitation | MRMS QPE (corrected) | hourly |10| `temp/` | 2 m temperature | NLDAS-2 FORA | hourly |11| `pet/`  | potential ET | FEWS NET daily PET | daily |12 13Each `*.tar` expands to individual `.pqf` (Apache Arrow parquet) grids readable by the14EF5 v4.5 native parquet reader. Used by the Space `vincewin/CREST_AI`.15 16Download + extract one year, e.g.:17```python18from huggingface_hub import hf_hub_download19import tarfile20p = hf_hub_download("vincewin/CREST_data", "mrms/mrms_2023.tar", repo_type="dataset")21tarfile.open(p).extractall("forcing/mrms")22```23