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Verlagsausgabe
DOI: 10.5445/IR/1000084406
Veröffentlicht am 12.07.2018
Originalveröffentlichung
DOI: 10.5194/hess-22-3663-2018

On the dynamic nature of hydrological similarity

Loritz, Ralf; Gupta, Hoshin; Jackisch, Conrad; Westhoff, Martijn; Kleidon, Axel; Ehret, Uwe; Zehe, Erwin

Abstract:
The increasing diversity and resolution of spatially distributed data on terrestrial systems greatly enhance the potential of hydrological modeling. Optimal and parsimonious use of these data sources requires, however, that we better understand (a) which system characteristics exert primary controls on hydrological dynamics and (b) to what level of detail do those characteristics need to be represented in a model. In this study we develop and test an approach to explore these questions that draws upon information theoretic and thermodynamic reasoning, using spatially distributed topographic information as a straightforward example. Specifically, we subdivide a mesoscale catchment into 105 hillslopes and represent each by a two-dimensional numerical hillslope model. These hillslope models differ exclusively with respect to topography-related parameters derived from a digital elevation model (DEM); the remaining setup and meteorological forcing for each are identical. We analyze the degree of similarity of simulated discharge and storage among the hillslopes as a function of time by examining the Shannon information entropy. We furthe ... mehr


Zugehörige Institution(en) am KIT Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1027-5606, 1607-7938
URN: urn:nbn:de:swb:90-844066
KITopen ID: 1000084406
Erschienen in Hydrology and earth system sciences
Band 22
Heft 7
Seiten 3663–3684
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 10.07.2018
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