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Getirana A., Boone A., Peugeot Christophe, ALMIP Working Group (collab.). (2017). Streamflows over a West African Basin from the ALMIP2 model ensemble. Journal of Hydrometeorology, 18 (7), 1831-1845. ISSN 1525-755X

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Lien direct chez l'éditeur doi:10.1175/jhm-d-16-0233.1

Streamflows over a West African Basin from the ALMIP2 model ensemble
Année de publication2017
Type de documentArticle référencé dans le Web of Science WOS:000405926700002
AuteursGetirana A., Boone A., Peugeot Christophe, ALMIP Working Group (collab.).
SourceJournal of Hydrometeorology, 2017, 18 (7), p. 1831-1845. ISSN 1525-755X
RésuméComparing streamflow simulations against observations has become a straightforward way to evaluate a land surface model's (LSM) ability in simulating water budget within a catchment. Using a mesoscale river routing scheme (RRS), this study evaluates simulated streamflows over the upper Oueme River basin resulting from 14 LSMs within the framework of phase 2 of the African Monsoon Multidisciplinary Analysis (AMMA) Land Surface Model Intercomparison Project (ALMIP2). The ALMIP2 RRS (ARTS) has been used to route LSM outputs. ARTS is based on the nonlinear Muskingum-Cunge method and a simple deep water infiltration formulation representing water-table recharge as previously observed in that region. Simulations are performed for the 2005-08 period during which ground observations are largely available. Experiments are designed using different ground-based rainfall datasets derived from two interpolation methods: the Thiessen technique and a combined kriging-Lagrangian methodology. LSM-based total runoff (TR) averages vary from 0.07 to 1.97mmday(-1), while optimal TR was estimated as; 0.65mmday(-1). This highly affected the RRS parameterization and streamflow simulations. Optimal Nash-Sutcliffe coefficients for LSM-averaged streamflows varied from 0.66 to 0.92, depending on the gauge station. However, individual LSM performances show a wider range. A more detailed rainfall distribution provided by the kriging-Lagrangian methodology resulted in overall better streamflow simulations. The early runoff generation related to reduced infiltration rates during early rainfall events features as one of the main reasons for poor LSM performances.
Plan de classementHydrologie [062] ; Sciences fondamentales / Techniques d'analyse et de recherche [020]
LocalisationFonds IRD [F B010070366]
Identifiant IRDfdi:010070366
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010070366

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