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CAMELS: Catchment Attributes and MEteorology for Large-sample Studies

The hydrometeorological time series together with the catchment attributes constitute the CAMELS dataset: Catchment Attributes and MEteorology for Large-sample Studies. TIME SERIES Data citation: A. Newman; K. Sampson; M. P. Clark; A. Bock; R. J. Viger; D. Blodgett, 2014. A large-sample watershed-scale hydrometeorological dataset for the contiguous USA. Boulder, CO: UCAR/NCAR. https://dx.doi.org/10.5065/D6MW2F4D Associated paper: A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Boc

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What's in it

Data offered llm-inferred
hydrometeorological time series · catchment attributes
Coverage llm-inferred
contiguous USA
Access llm-inferred
Open licence CC-BY-4.0 (per metadata); no authentication listed. Zenodo page could not be read.

Useful for

Use cases llm-inferred
Benchmarking rainfall-runoff or regionalisation methods against large-sample catchment attributes · Comparing catchment hydrological signatures with attribute-based analysis before applying methods to UK catchments · Teaching or method testing for large-sample hydrology
Audience llm-inferred
hydrologists · water resources modellers · researchers · GIS analysts

Limitations

Constraints llm-inferred
Covers the contiguous USA only, so not directly applicable to UK catchments · Source DOCS page returned 403 Forbidden, so no details were verified · Time span, spatial resolution, update frequency and file formats not stated in the available metadata
Licence
cc-by-4.0
Authentication
Unknown — review source docs
GitHub stars
Unknown
Last commit
Unknown
Last successful page check
16/10/2026
Page health
restricted
Package
Not recorded
Verification
Not independently verified

Provenance & evidence

Listed in zenodo public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata observed 14/10/2026 · research sweep: sweep-2026-10-16 (zenodo)