%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Ollivier, C. C.
%A Carriere, S. D.
%A Heath, T.
%A Olioso, A.
%A Rabefitia, Z.
%A Rakoto, H.
%A Oudin, L.
%A Satgé, Frédéric
%T Ensemble precipitation estimates based on an assessment of 21 gridded precipitation datasets to improve precipitation estimations across Madagascar
%D 2023
%L fdi:010090021
%G ENG
%J Journal of Hydrology : Regional Studies
%K Precipitation products ; Remote sensing ; Ensemble approach ; Hydrology ; Madagascar
%K MADAGASCAR
%M ISI:001044653500001
%P 101400 [20 ]
%R 10.1016/j.ejrh.2023.101400
%U https://www.documentation.ird.fr/hor/fdi:010090021
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/2023-09/010090021.pdf
%V 47
%W Horizon (IRD)
%X Study region: this study focuses on Madagascar. This island is characterized by a great diversity of climate, due to trade winds and the varying topography. This country is also undergoing extreme rainfall events such as droughts and cyclones. Study focus: the rain gauge network of Madagascar is limited (about 30 stations). Consequently, we consider relevant satellite-based precipitation datasets to fill gaps in ground-based datasets. We assessed the reliability of 21 satellite-based and reanalysis precipitation products (P-datasets) through a direct comparison with 24 rain gauge station measurements at the monthly time step, using four statistical indicators: Kling-Gupta Efficiency (KGE), Correlation Coefficient (CC), Root Mean Square Error (RMSE), and Bias. Based on this first analysis, we produced a merged dataset based on a weighted average of the 21 products. New hydrological insights for the region: based on the KGE and the CC scores, WFDEI (WATCH Forcing Data methodology applied to ERA-Interim), CMORPH-BLD (Climate Prediction Center MORPHing satellite-gauge merged) and MSWEP (Multi-Source Weighted Ensemble Precipitation) are the most accurate for estimating rainfall at the national scale. Additionally, the results reveal a high discrepancy between bio-climatic regions. The merged dataset reveals higher performance than the other products in all situations. These results demonstrate the usefulness of a merging approach in an area with a deficit of rainfall data and a climatic and topographic diversity.
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