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The role and value of distributed precipitation data in hydrological models

Loritz, Ralf; Hrachowitz, Markus; Neuper, Malte; Zehe, Erwin

Abstract:
This study investigates the role and value of distributed rainfall for the runoff generation of a mesoscale catchment (20 km2). We compare four hydrological model setups and show that a distributed model setup driven by distributed rainfall only improves the model performances during certain periods. These periods are dominated by convective summer storms that are typically characterized by higher spatiotemporal variabilities compared to stratiform precipitation events that dominate rainfall generation in winter. Motivated by these findings, we develop a spatially adaptive model that is capable of dynamically adjusting its spatial structure during model execution. This spatially adaptive model allows the varying relevance of distributed rainfall to be represented within a hydrological model without losing predictive performance compared to a fully distributed model. Our results highlight that spatially adaptive modeling has the potential to reduce computational times as well as improve our understanding of the varying role and value of distributed precipitation data for hydrological models.

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Verlagsausgabe §
DOI: 10.5445/IR/1000129349
Veröffentlicht am 09.02.2021
Originalveröffentlichung
DOI: 10.5194/hess-25-147-2021
Scopus
Zitationen: 1
Web of Science
Zitationen: 1
Dimensions
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 1027-5606, 1607-7938
KITopen-ID: 1000129349
Erschienen in Hydrology and earth system sciences
Verlag Copernicus Publications
Band 25
Heft 1
Seiten 147-167
Nachgewiesen in Dimensions
Web of Science
Scopus
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