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Evaluation of 23 gridded precipitation datasets across West Africa

Abstract : This study aims reporting on 23 gridded precipitation datasets (P-datasets) reliability across West Africa through direct comparisons with rain gauges measurement at the daily and monthly time scales over a 4 years period (2000-2003). All P-datasets reliability vary in space and time. The most efficient P-dataset in term of Kling–Gupta Efficiency (KGE) changes at the local scale and the P-dataset performance is sensitive to seasonal effects. Satellite-based P-datasets performed better during the wet than the dry season whereas the opposite is observed for reanalysis P-datasets. The best overall performance was obtained for MSWEP v.2.2 and CHIRPS v.2 for daily and monthly time-step, respectively. Part of the differences in P-dataset performance at daily and monthly time step comes from the time step used to proceed the gauges adjustment (i.e day or month) and from a mismatch between gauge and satellite reporting times. In comparison to the others P-datasets, TMPA-Adj v.7 reliability is stable and reach the second highest KGE value at both daily and monthly time step. Reanalysis P-datasets (WFDEI, MERRA-2, JRA-55, ERA-Interim) present among the lowest statistical scores at the daily time step, which drastically increased at the monthly time step for WFDEI and MERRA-2. The non-adjusted P-datasets were the less efficient, but, their near-real time availability should be helpful for risk forecast studies (i.e. GSMaP-RT v.6). The results of this study give important elements to select the most adapted P-dataset for specific application across West Africa.
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https://hal.inrae.fr/hal-02626156
Déposant : Migration Prodinra <>
Soumis le : mardi 26 mai 2020 - 16:29:35
Dernière modification le : vendredi 10 juillet 2020 - 14:56:24

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Frédéric Satgé, Dimitri Defrance, Benjamin Sultan, Marie-Paule Bonnet, F. Seyler, et al.. Evaluation of 23 gridded precipitation datasets across West Africa. Journal of Hydrology, Elsevier, 2019, ⟨10.1016/j.jhydrol.2019.124412⟩. ⟨hal-02626156⟩

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