Snow hydrology signatures for model identification within a limits-of-acceptability approach

Détails

ID Serval
serval:BIB_0E553B87F36F
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Snow hydrology signatures for model identification within a limits-of-acceptability approach
Périodique
Hydrological Processes
Auteur(s)
Schaefli B.
ISSN
0885-6087
ISSN-L
1099-1085
Statut éditorial
Publié
Date de publication
2016
Volume
30
Pages
4019-4035
Langue
anglais
Résumé
Discharge simulation from snow-dominated catchments seems to be an easy task. Any spatially explicit precipitation–runoff model coupled to a temperature-index snow model generally yields simulations that mimic well the observed daily discharges. The robustness of such models is, however, questionable: in the presence of strong annual discharge cycles, small model residuals do not guarantee high explanatory power of the underlying model. This paper proposes a methodology for snow hydrological model identification within a limits-of-acceptability framework, where acceptable model simulations are the ones that reproduce a set of signatures within an a priori specified range. The signatures proposed here namely include the relationship between the air temperature regime and the discharge regime, a new snow hydrology signature that can be readily transferred to other Alpine settings. The discriminatory power of all analysed signatures is assessed with a new measure of their discriminatory power in the model prediction domain. The value of the proposed snow hydrology signatures and of the limits-of-acceptability approach is demonstrated for the Dischma river in Switzerland, whose discharge shows a strong temporal variability of hydrologic forcing conditions over the last 30 years. The signature-based model identification for this case study leads to the surprising conclusion that the observed discharge data contains a multi-year period that cannot be reproduced with the model at hand. This model-data mismatch might well result from a yet to be identified problem with the discharge observations, which would have been difficult to detect in a classical residual-based model identification approach. Overall, the detailed results for this case study underline the robustness of the limits-of-acceptability approach in the presence of error-prone observations if it is applied in combination with relatively robust signatures. Future work will show whether snow hydrology signatures and their limits-of-acceptability can be regionalized to ungauged catchments, which would make this model selection approach particularly powerful for Alpine environments. Copyright © 2016 John Wiley & Sons, Ltd.
Mots-clé
rainfall–runoff model, snow hydrology, model calibration, limits-of-acceptability, Monte Carlo simulation, signature, Water Science and Technology
Création de la notice
19/05/2017 9:14
Dernière modification de la notice
20/08/2019 13:35
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