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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
environmental science
Signature-based model calibration for hydrological prediction in mesoscale Alpine catchments
Hydrological Sciences Journal, Volume 55, No. 6, Year 2010
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Description
This paper presents a calibration framework for a precipitation-runoff model for flood prediction in a mesoscale Alpine basin with discharges strongly influenced by hydraulic works. The developed methodology addresses two classical hydrological calibration challenges: computational limitations to run optimization algorithms for distributed hourly models and the absence of concomitant meteorological and natural discharge time series. The presented processes-oriented, multi-signal approach is based on hydrological data from a variety of sources and for different periods, corresponding to various spatial scales. The model parameters are calibrated by sequentially minimizing differences between observed and simulated values for different hydrological signals and signatures such as: (a) the phase of precipitations, (b) the time evolution of point-scale snow heights, (c) the mean inter-annual cycle of daily discharges, and (d) timing of snowmelt-induced spring runoff. We compare the model performance to a benchmark model obtained by simply using the globally optimal parameter values from the nearest gauged and non perturbed catchment. For prediction of flow seasonality and also extreme events, the calibration methodology outperforms the benchmark. © 2010 IAHS Press.
Authors & Co-Authors
Hingray, Benoit
France, Paris
Cnrs Centre National de la Recherche Scientifique
Schaefli, Bettina
Netherlands, Delft
Delft University of Technology
Mezghani, A.
France, Paris
Cnrs Centre National de la Recherche Scientifique
Hamdi, Yasser
Tunisia, Gabes
Ecole Nationale D'ingénieurs de Gabes
Statistics
Citations: 67
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1080/02626667.2010.505572
ISSN:
02626667
e-ISSN:
21503435