Catchment model regionalization approach based on spatial proximity: Does a neighbor catchment-based rainfall input strengthen the method?
Study region: The Upper Rhine-Meuse catchment (French part). Study focus: A rainfall input-related sensitivity analysis was conducted to assess if, with a neighbor catchment-based knowledge of optimal rainfall input, rainfall-runoff modeling becomes more competitive for estimating streamflow at unga...
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Veröffentlicht in: | Journal of hydrology. Regional studies 2016-12, Vol.8 (C), p.26-42 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Study region: The Upper Rhine-Meuse catchment (French part). Study focus: A rainfall input-related sensitivity analysis was conducted to assess if, with a neighbor catchment-based knowledge of optimal rainfall input, rainfall-runoff modeling becomes more competitive for estimating streamflow at ungauged catchments. New hydrological insights for the region: Results show that when streamflow is known at the outlet of a catchment, optimal rainfall input for a lumped catchment model is mostly computed with a subset of raingages. When streamflow is unkown at the outlet of a catchment, a regionalisation approach of model parameter values based on spatial proximity is not able to take advantage of a neighbor-catchment based knowledge of optimal rainfall input. This report encourages to search for a catchment model regionalization approach based on spatial proximity which makes no explicit use of measured rainfall to estimate streamflow at an ungauged location. |
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ISSN: | 2214-5818 2214-5818 |
DOI: | 10.1016/j.ejrh.2016.07.002 |