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Verlagsausgabe
DOI: 10.5445/IR/1000083024
Veröffentlicht am 24.05.2018
Originalveröffentlichung
DOI: 10.5194/hess-22-203-2018
Scopus
Zitationen: 1
Web of Science
Zitationen: 1

Regional analysis of parameter sensitivity for simulation of streamflow and hydrological fingerprints

Höllering, Simon; Wienhöfer, Jan; Ihringer, Jürgen; Samaniego, Luis; Zehe, Erwin

Abstract:
Diagnostics of hydrological models are pivotal for a better understanding of catchment functioning, and the analysis of dominating model parameters plays a key role for region-specific calibration or parameter transfer. A major challenge in the analysis of parameter sensitivity is the assessment of both temporal and spatial differences of parameter influences on simulated streamflow response. We present a methodological approach for global sensitivity analysis of hydrological models. The multilevel approach is geared towards complementary forms of streamflow response targets, and combines sensitivity analysis directed to hydrological fingerprints, i.e. temporally independent and temporally aggregated characteristics of streamflow (INDPAS), with the conventional analysis of the temporal dynamics of parameter sensitivity (TEDPAS).

The approach was tested in 14 mesoscale headwater catchments of the Ruhr River in western Germany using simulations with the spatially distributed hydrological model mHM. The multilevel analysis with diverse response characteristics allowed us to pinpoint parameter sensitivity patterns much more clearly ... mehr


Zugehörige Institution(en) am KIT Institut für Wasser und Gewässerentwicklung (IWG)
Publikationstyp Zeitschriftenaufsatz
Jahr 2018
Sprache Englisch
Identifikator ISSN: 1607-7938
URN: urn:nbn:de:swb:90-830246
KITopen-ID: 1000083024
Erschienen in Hydrology and earth system sciences
Band 22
Heft 1
Seiten 203–220
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 11.01.2018
Nachgewiesen in Scopus
Web of Science
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