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| Created: | Jan 23, 2020 at 10:28 p.m. | |
| Last updated: | Apr 20, 2020 at 7:31 p.m. | |
| DOI: | 10.4211/hs.069f552f96ef4e638f4bec281c5016ad | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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Abstract
Streamflow regime classes identified for the 671 stations in the CAMELS dataset (United States) using functional data analysis: (1) intermittent regime, (2) strong winter regime, (3) weak winter regime, (4) melt regime, and (5) New Year's regime. The textfile contains a table with the USGS gauge ID of each catchment in the CAMELS dataset and their regime class (1-5). More information on the CAMELS dataset can be found in Newman et al. (2015) and Addor et al. (2017). A detailed description on how the regime classes were derived can be found in Brunner et al. (2020).
Addor, N., A. J. Newman, N. Mizukami, and M. P. Clark (2017), The CAMELS data set: Catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21(10), 5293–5313, doi:10.5194/hess-21-5293-2017.
Brunner, M. I., A. Newman, L. A. Melsen, and A. Wood (2020), Functional streamflow regime classes in the United States and their future changes, Hydrol. Earth Syst. Sci. Discuss., under review.
Newman, A. J. et al. (2015), Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: Data set characteristics and assessment of regional variability in hydrologic model performance, Hydrol. Earth Syst. Sci., 19(1), 209–223, doi:10.5194/hess-19-209-2015.
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| This resource is described by | Brunner, M. I., A. Newman, L. A. Melsen, and A. Wood (2020), Future streamflow regime changes in the United States: assessment using functional classification, Hydrol. Earth Syst. Sci. Discuss., under review; https://www.hydrol-earth-syst-sci-discuss.net/hess-2020-54/ |
| The content of this resource is derived from | Newman, A. J. et al. (2015), Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: Data set characteristics and assessment of regional variability in hydrologic model performance, Hydrol. Earth Syst. Sci., 19(1), 209–223, doi:10.5194/hess-19-209-2015. |
| The content of this resource is derived from | Addor, N., A. J. Newman, N. Mizukami, and M. P. Clark (2017), The CAMELS data set: Catchment attributes and meteorology for large-sample studies, Hydrol. Earth Syst. Sci., 21(10), 5293–5313, doi:10.5194/hess-21-5293-2017. |
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