The DOI matches its Crossref record; 89 of the 89 references it cites were found in a registry or an index.
Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA
Open accessAbstract
Abstract. Hydrologic similarity between catchments, derived from similarity in how catchments respond to precipitation input, is the basis for catchment classification, for transferability of information, for generalization of our hydrologic understanding and also for understanding the potential impacts of environmental change. An important question in this context is, how far can widely available hydrologic information (precipitation-temperature-streamflow data and generally available physical descriptors) be used to create a first order grouping of hydrologically similar catchments? We utilize a heterogeneous dataset of 280 catchments located in the Eastern US to understand hydrologic similarity in a 6-dimensional signature space across a region with strong environmental gradients. Signatures are defined as hydrologic response characteristics that provide insight into the hydrologic function of catchments. A Bayesian clustering scheme is used to separate the catchments into 9 homogeneous classes, which enable us to interpret hydrologic similarity with respect to similarity in climatic and landscape attributes across this region. We finally derive several hypotheses regarding controls on individual signatures from the analysis performed here.
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Updated world map of the Köppen-Geiger climate classification
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Gauch, M., Kratzert, F., Klotz, D., Nearing, G., Lin, J., & Hochreiter, S. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-2045-2021 · Cited by 363
A Ranking of Hydrological Signatures Based on Their Predictability in Space
Addor, N., Nearing, G., Prieto, C., Newman, A. J., Le Vine, N., & Clark, M. P. (2018) · Water Resources Research · doi:10.1029/2018wr022606 · Cited by 359
Coxon, G., Addor, N., Bloomfield, J. P., Freer, J., Fry, M., Hannaford, J., Howden, N. J. K., Lane, R., Lewis, M., Robinson, E. L., et al. (2020) · Earth System Science Data · doi:10.5194/essd-12-2459-2020 · Cited by 312
Self-citationTongal, H., & Booij, M. J. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.07.004 · Cited by 267
Metadata
- Authors
- Sawicz, K., Wagener, T., Sivapalan, M., Troch, P. A., & Carrillo, G.
- Venue
- Hydrology and Earth System Sciences
- Publisher
- Copernicus GmbH
- Published
- 2011-09-15
- Volume
- 15
- Issue
- 9
- Pages
- 2895-2911
- ISSN
- 1027-5606 (ISSN-L)
- 1607-7938
- OpenAlex
- W2148774617
- Cited by
- 549
- References
- 89
- FWCI
- 22.48
- Type
- journal article
- Language
- en
- Open access
- gold
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- Sawicz, K., Wagener, T., Sivapalan, M., Troch, P. A., & Carrillo, G. (2011). Catchment classification: empirical analysis of hydrologic similarity based on catchment function in the eastern USA. Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-15-2895-2011
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