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Catchment model regionalization approach based on spatial proximity: Does a neighbor catchment-based rainfall input strengthen the method?

Abstract : 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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https://hal.univ-lorraine.fr/hal-03665930
Contributor : Gilles Drogue Connect in order to contact the contributor
Submitted on : Thursday, May 12, 2022 - 10:46:47 AM
Last modification on : Friday, May 13, 2022 - 3:29:24 AM

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Gilles Drogue, Wiem Ben Khediri. Catchment model regionalization approach based on spatial proximity: Does a neighbor catchment-based rainfall input strengthen the method?. Journal of Hydrology: Regional Studies, Elsevier, 2016, 8, pp.26-42. ⟨10.1016/j.ejrh.2016.07.002⟩. ⟨hal-03665930⟩

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