Datasetpublic

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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Dataset Card

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.:

python

from huggingface_hub import hf_hub_download
import tarfile
p = hf_hub_download("vincewin/CREST_data", "mrms/mrms_2023.tar", repo_type="dataset")
tarfile.open(p).extractall("forcing/mrms")