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

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

doi:https://doi.org/10.5194/hess-21-5293-2017

Articles | Volume 21, issue 10

https://doi.org/10.5194/hess-21-5293-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-5293-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 10

Research article

| Highlight paper

|

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

Data sets

Catchment attributes for large-sample studies N. Addor, A. J. Newman, N. Mizukami, and M. P. Clark https://doi.org/10.5065/D6G73C3Q

A large-sample watershed-scale hydrometeorological dataset for the contiguous USA, Boulder, CO A. Newman, K. Sampson, M. P. Clark, A. Bock, R. J. Viger, and D. Blodgett https://doi.org/10.5065/D6MW2F4D

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.