A regularization approach to improve the sequential calibration of a semi-distributed hydrological model - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Water Resources Research Year : 2019

A regularization approach to improve the sequential calibration of a semi-distributed hydrological model

Une approche de régularisation pour améliorer la calibration séquentielle d'un modèle hydrologique semi-distribué

Abstract

In semidistributed hydrological modeling, sequential calibration usually refers to the calibration of a model by considering not only the flows observed at the outlet of a catchment but also the different gauging points inside the catchment from upstream to downstream. While sequential calibration aims to optimize the performance at these interior gauged points, we show that it generally fails to improve performance at ungauged points. In this paper, we propose a regularization approach for the sequential calibration of semidistributed hydrological models. It consists in adding a priori information on optimal parameter sets for each modeling unit of the semidistributed model. Calibration iterations are then performed by jointly maximizing simulation performance and minimizing drifts from the a priori parameter sets. The combination of these two sources of information is handled by a parameter k to which the method is quite sensitive. The method is applied to 1,305 catchments in France over 30 years. The leave-one-out validation shows that, at locations considered as ungauged, model simulations are significantly improved (over all the catchments, the median KGE criterion is increased from 0.75 to 0.83 and the first quartile from 0.35 to 0.66), while model performance at gauged points is not significantly impacted by the use of the regularization approach. Small catchments benefit most from this calibration strategy. These performances are, however, very similar to the performances obtained with a lumped model based on similar conceptualization.

Keywords

Dates and versions

hal-02609890 , version 1 (16-05-2020)

Identifiers

Cite

Alban de Lavenne, Vazken Andréassian, Guillaume Thirel, Maria-Helena Ramos, Charles Perrin. A regularization approach to improve the sequential calibration of a semi-distributed hydrological model. Water Resources Research, 2019, 55 (11), pp.8821-8839. ⟨10.1029/2018WR024266⟩. ⟨hal-02609890⟩

Collections

IRSTEA INRAE HYCAR
18 View
0 Download

Altmetric

Share

Gmail Facebook X LinkedIn More