<?xml version="1.0"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Evaluation of 23 gridded precipitation datasets across West Africa</dc:title>
  <dc:creator>/Satg&#xE9;, Fr&#xE9;d&#xE9;ric</dc:creator>
  <dc:creator>/Defrance, Dimitri</dc:creator>
  <dc:creator>/Sultan, Benjamin</dc:creator>
  <dc:creator>/Bonnet, Marie-Paule</dc:creator>
  <dc:creator>/Seyler, Fr&#xE9;d&#xE9;rique</dc:creator>
  <dc:creator>/Rouch&#xE9;, Nathalie</dc:creator>
  <dc:creator>Pierron, F.</dc:creator>
  <dc:creator>/Paturel, Jean-Emmanuel</dc:creator>
  <dc:subject>Precipitation datasets</dc:subject>
  <dc:subject>Reliability</dc:subject>
  <dc:subject>West Africa</dc:subject>
  <dc:description>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 (Le 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.</dc:description>
  <dc:date>2020</dc:date>
  <dc:type>text</dc:type>
  <dc:identifier>https://www.documentation.ird.fr/hor/fdi:010077958</dc:identifier>
  <dc:identifier>fdi:010077958</dc:identifier>
  <dc:identifier>Satg&#xE9; Fr&#xE9;d&#xE9;ric, Defrance Dimitri, Sultan Benjamin, Bonnet Marie-Paule, Seyler Fr&#xE9;d&#xE9;rique, Rouch&#xE9; Nathalie, Pierron F., Paturel Jean-Emmanuel. Evaluation of 23 gridded precipitation datasets across West Africa. 2020, 581, 124412 [19 ]</dc:identifier>
  <dc:language>EN</dc:language>
  <dc:coverage>AFRIQUE DE L'OUEST</dc:coverage>
</oai_dc:dc>
