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Climate 2017, 5(3), 74; doi:10.3390/cli5030074

Decreasing Past and Mid-Century Rainfall Indices over the Ouémé River Basin, Benin (West Africa)

Laboratoire des Procédés Industriels, de Synthèse, de l’Environnement et des Energies Nouvelles (LAPISEN), Institut National Polytechnique Félix HOUPHOUËT-BOIGNY (INP-HB), Yamoussoukro BP 1093, Cote d’Ivoire
Laboratoire d’Hydrologie Appliquée, Institut National de l’Eau, Cotonou 01 BP: 4521, Benin
West African Science Service Center on Climate Change and Adapted Land Use, Institut National de l’Eau, Cotonou 01 BP: 4521, Benin
International Chair in Mathematical Physics and Applications (ICMPA—UNESCO, University of Abomey-Calavi (UAC), Cotonou 072 BP: 50, Benin
Author to whom correspondence should be addressed.
Received: 26 July 2017 / Revised: 13 September 2017 / Accepted: 15 September 2017 / Published: 19 September 2017
(This article belongs to the Special Issue Climate Impacts and Resilience in the Developing World)


This study analyzed the trends of extreme daily rainfall indices over the Ouémé basin using the observed data from 1950 to 2014 and the projected rainfall of regional climate model REMO (REgional MOdel) for the period 2015–2050. For future trends analysis, two Intergovernmental Panel on Climate Change (IPCC) new scenarios are considered, namely RCP4.5 and RCP8.5. The indices considered are number of heavy rainfall days, number of very heavy rainfall days, consecutive dry days, consecutive wet days, daily maximum rainfall, five-day maximum rainfall, annual wet-day total rainfall, simple daily intensity index, very wet days, and extremely wet days. These indices were calculated at annual and seasonal scales. The Mann-Kendall non-parametric test and the parametric linear regression approach were used for trends detection. As result, significant declining in the number of heavy and very heavy rainfall days, heavy and extremely heavy rainfall, consecutive wet days and annual wet-day rainfall total were detected in most stations for the historical period as well as the future period following the scenario RCP8.5. Furthermore, few stations presented significant trends for the scenario RCP4.5 and the high proportion of stations with the inconsistence trends invites the planners to get ready for an uncertain future climate following this scenario. View Full-Text
Keywords: extreme rainfall; frequency; indices; future trend; REMO; Ouémé basin extreme rainfall; frequency; indices; future trend; REMO; Ouémé basin

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

N’Tcha M’Po, Y.; Lawin, E.A.; Yao, B.K.; Oyerinde, G.T.; Attogouinon, A.; Afouda, A.A. Decreasing Past and Mid-Century Rainfall Indices over the Ouémé River Basin, Benin (West Africa). Climate 2017, 5, 74.

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