%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Nwachukwu, P. N.
%A Satgé, Frédéric
%A El Yacoubi, S.
%A Pinel, S.
%A Bonnet, Marie-Paule
%T From TRMM to GPM : how reliable are satellite-based precipitation data across Nigeria ?
%D 2020
%L fdi:010080525
%G ENG
%J Remote Sensing
%K satellite precipitation ; gauge ; validation ; Nigeria
%K NIGERIA
%M ISI:000597633400001
%N 23
%P 3964 [22 ]
%R 10.3390/rs12233964
%U https://www.documentation.ird.fr/hor/fdi:010080525
%> https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers21-01/010080525.pdf
%V 12
%W Horizon (IRD)
%X In this study, 16 satellite-based precipitation products (SPPs) comprising satellite, gauge and reanalysis datasets were assessed on a monthly time step using precipitation data from 11 gauge stations across Nigeria within the 2000-2012 period as reference. Despite the ability of some of the SPPs to reproduce the salient north-south pattern of the annual rainfall field, the Kling-Gupta efficiency (KGE) results revealed substantial discrepancies among the SPP estimates. Generally, the SPP reliability varies spatially and temporally, with all SPPs performing better over part of central Nigeria during the dry season. When we compared the real-time and adjusted satellite-based products, the results showed that the adjusted products had a better KGE score. The assessment also showed that the reliability of integrated multi-satellite retrievals for Global Precipitation Mission (IMERG) products was consistent with that of their predecessor Tropical Rainfall Measuring Mission (TRMM) multi-satellite precipitation analysis (TMPA). Finally, the best overall scores were obtained from multi-source weighted-ensemble precipitation (MSWEP) v.2.2 and IMERG-F v.6. Both products are therefore suggested for further hydrological studies.
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