Transferring measured discharge time series: Large-scale comparison of Top-kriging to geomorphology-based inverse modeling

De Lavenne, A. ; Skoien, J.O. ; Cudennec, C. ; Curie, F. ; Moatar, F.

Type de document
Article de revue scientifique à comité de lecture
Langue
Anglais
Affiliation de l'auteur
UNIVERSITE FRANCOIS RABELAIS EA 6293 GEO-HYDROSYSTEMES CONTINENTAUX FACULTE DES SCIENCES ET TECHNIQUES TOURS FRA ; EUROPEAN COMMISSION JOINT RESEARCH CENTRE INSTITUTE FOR ENVIRONMENT AND SUSTAINABILITY ISPRA ITA ; AGROCAMPUS OUEST UMR 1069 SOL AGROHYDROSYSTEMES SPATIALISATION RENNES FRA ; UNIVERSITE FRANCOIS RABELAIS EA 6293 GEO-HYDROSYSTEMES CONTINENTAUX FACULTE DES SCIENCES ET TECHNIQUES TOURS FRA ; UNIVERSITE FRANCOIS RABELAIS EA 6293 GEO-HYDROSYSTEMES CONTINENTAUX FACULTE DES SCIENCES ET TECHNIQUES TOURS FRA
Année
2016
Résumé / Abstract
Few methods directly transfer streamflow measurements for continuous prediction of ungauged catchments. Top-kriging has been used mainly to predict the statistical properties of runoff but has been shown to outperform traditional regionalization approaches of rainfall-runoff models. We applied the Top-kriging approach across the Loire River basin and compared predictions to a geomorphology-based approach. Whereas Top-kriging uses spatial correlation, the other approach has the advantage of being more physically based by using a well-known geomorphology-based hydrological model (WFIUH) and its inversion. Both approaches require an equal degree of calibration and provide similar performances. We also demonstrate that the Ghosh distance, which considers the nested nature of catchments, can be used efficiently to calculate weights and to identify the suitability of gauged catchments for use as donor catch- ments. This result is particularly relevant for catchments with Strahler orders above five, i.e., where donor catchments are more strongly nested.
Source
Water Resources Research, vol. 52, num. 7, p. 5555 - 5576

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