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Sensitivity and scale dependence of discretization and roughness in the hydrodynamic modeling of surface runoff caused by torrential rainfall

Feldmann, David 1; Laux, Patrick ORCID iD icon 2; Heckl, Andreas; Nujić, Marinko; Böker, Brian; Schindler, Manfred; Kunstmann, Harald 2
1 Karlsruher Institut für Technologie (KIT)
2 Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU), Karlsruher Institut für Technologie (KIT)

Abstract:

Hydrodynamic surface runoff simulations are an effective method for assessing flash flood risks. In engineer ing, the lack of observations for model calibration poses a challenge. Therefore, understanding the sensitivity to specific model parameters is crucial for reliable flood protection planning. This study analyzes how surface dis cretization and roughness affect surface runoff generation and depression storage in a hydrodynamic 2D-model in a southern German alpine region. We compare the runoff generation across five discretization methodologies at 211 selected locations within the model domain. These locations are associated with subcatchments ranging in size from 0.2 to 4 km2. The discretization methodologies comprise a one-meter grid refined with survey data, a two-meter grid, a high-resolution and low-resolution irregular mesh and a four-meter grid. These are combined with seven different depth-dependent and constant roughness parameterizations. The sensitivity analysis shows that a higher depth-dependent roughness is needed to achieve comparable results to those of a coarse resolution model. Significant differences were observed with varying roughness pa rameterizations and meshing approaches. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000190898
Veröffentlicht am 23.02.2026
Originalveröffentlichung
DOI: 10.1016/j.jhydrol.2026.135088
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung Atmosphärische Umweltforschung (IMKIFU)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 04.2026
Sprache Englisch
Identifikator ISSN: 0022-1694
KITopen-ID: 1000190898
Erschienen in Journal of Hydrology
Verlag Elsevier
Band 669
Heft Part A
Seiten Art.-Nr.: 135088
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