Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Advances in Geosciences Année : 2006

Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa

Résumé

Distributed hydrological models like SWAT (Soil and Water Assessment Tool) are often highly over-parameterized, making parameter specification and parameter estimation inevitable steps in model calibration. Manual calibration is almost infeasible due to the complexity of large-scale models with many objectives. Therefore we used a multi-site semi-automated inverse modelling routine (SUFI-2) for calibration and uncertainty analysis. Nevertheless, the question of when a model is sufficiently calibrated remains open, and requires a project dependent definition. Due to the non-uniqueness of effective parameter sets, parameter calibration and prediction uncertainty of a model are intimately related.

We address some calibration and uncertainty issues using SWAT to model a four million km2 area in West Africa, including mainly the basins of the river Niger, Volta and Senegal. This model is a case study in a larger project with the goal of quantifying the amount of global country-based available freshwater. Annual and monthly simulations with the "calibrated" model for West Africa show promising results in respect of the freshwater quantification but also point out the importance of evaluating the conceptual model uncertainty as well as the parameter uncertainty.

Fichier principal
Vignette du fichier
adgeo-9-137-2006.pdf (3.62 Mo) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-00296967 , version 1 (18-06-2008)

Identifiants

  • HAL Id : hal-00296967 , version 1

Citer

J. Schuol, K. C. Abbaspour. Calibration and uncertainty issues of a hydrological model (SWAT) applied to West Africa. Advances in Geosciences, 2006, 9, pp.137-143. ⟨hal-00296967⟩

Collections

INSU EGU
375 Consultations
438 Téléchargements

Partager

Gmail Facebook X LinkedIn More