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

Tools

Addor, Nans, Newman, Andrew J., Mizukami, Naoki and Clark, Martyn P. (2017) The CAMELS data set: Catchment attributes and meteorology for large-sample studies. Hydrology and Earth System Sciences (HESS), 21 (10). pp. 5293-5313. ISSN 1027-5606

Preview

PDF (Published manuscript) - Published Version
Available under License Creative Commons Attribution.
Download (8MB) | Preview

Abstract

We present a new data set of attributes for 671 catchments in the contiguous United States (CONUS) minimally impacted by human activities. This complements the daily time series of meteorological forcing and streamflow provided by Newman et al. (2015b). To produce this extension, we synthesized diverse and complementary data sets to describe six main classes of attributes at the catchment scale: Topography, climate, streamflow, land cover, soil, and geology. 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 the attributes we extracted, makes this new data set well suited for large-sample studies and comparative hydrology. In comparison to the similar Model Parameter Estimation Experiment (MOPEX) data set, this data set relies on more recent data, it covers a wider range of attributes, and its catchments are more evenly distributed across the CONUS. This study also involves assessments of the limitations of the source data sets used to compute catchment attributes, as well as detailed descriptions of how the attributes were computed. The hydrometeorological time series provided by Newman et al.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Environmental Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	Pure Connector
Date Deposited:	14 Nov 2017 06:05
Last Modified:	21 Oct 2022 16:35
URI:	https://ueaeprints.uea.ac.uk/id/eprint/65434
DOI:	10.5194/hess-21-5293-2017

Downloads

Downloads per month over past year

Actions (login required)

View Item