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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/hess-2017-169
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Research article
30 Mar 2017
Review status
This discussion paper is a preprint. A revision of the manuscript is under review for the journal Hydrology and Earth System Sciences (HESS).
The CAMELS data set: catchment attributes and meteorology for large-sample studies
Nans Addor, Andrew J. Newman, Naoki Mizukami, and Martyn P. Clark Research Applications Laboratory, National Center for Atmospheric Research, Boulder, USA
Abstract. We present a new data set of attributes for 671 catchments in the contiguous USA (CONUS). This complements the daily hydrometeorological time series provided by Newman et al. (2015b) and opens new opportunities to explore how the interplay between landscape attributes shapes hydrological processes and catchment behavior. To produce this extension, we synthesized diverse and complementary data sets to describe topography, climate, hydrology, soil and vegetation characteristics at the catchment scale. The spatial variations among basins over the CONUS are discussed and compared using a series of maps. The large number of catchments, combined with the diversity of their geophysical characteristics, makes this new data well suited for large-sample studies and comparative hydrology. An essential feature, that differentiates this data set from similar ones, is that it both provides quantitative estimates of diverse catchment attributes, and involves assessments of the limitations of the data and methods used to compute those attributes. This data set will be publicly available and we encourage the community to further extend it. The hydrometeorological time series provided by Newman et al. (2015b) together with the catchment attributes introduced in this paper constitute the CAMELS data set: Catchment Attributes and MEteorology for Large-sample Studies.

Citation: Addor, N., Newman, A. J., Mizukami, N., and Clark, M. P.: The CAMELS data set: catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-169, in review, 2017.
Nans Addor et al.
Nans Addor et al.

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
Nans Addor et al.

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Short summary
Hydrological processes, like the transpiration of trees or accumulation of snow, vary significantly across the landscape. To study them, catchment attributes, like the dominant vegetation class or the mean elevation of the catchment, are useful tools. Here we introduce a new data set that provides attributes for 671 catchments in the contiguous US. The diversity of these catchments and of their attributes can help improving our understanding and modeling of hydrological processes.
Hydrological processes, like the transpiration of trees or accumulation of snow, vary...
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