Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5293-2017
https://doi.org/10.5194/hess-21-5293-2017
Research article
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20 Oct 2017
Research article | Highlight paper |  | 20 Oct 2017

The CAMELS data set: catchment attributes and meteorology for large-sample studies

Nans Addor, Andrew J. Newman, Naoki Mizukami, and Martyn P. Clark

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (21 Aug 2017) by Fuqiang Tian
AR by Nans Addor on behalf of the Authors (04 Sep 2017)
ED: Publish as is (08 Sep 2017) by Fuqiang Tian
AR by Nans Addor on behalf of the Authors (08 Sep 2017)
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Short summary
We introduce a data set describing the landscape of 671 catchments in the contiguous USA: we synthesized various data sources to characterize the topography, climate, streamflow, land cover, soil, and geology of each catchment. This extends the daily time series of meteorological forcing and discharge provided by an earlier study. The diversity of these catchments will help to improve our understanding and modeling of how the interplay between catchment attributes shapes hydrological processes.