Decreasing Past and Mid-Century Rainfall Indices over the Ouémé River Basin, Benin (West Africa)
Creators
- 1. 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
- 2. Laboratoire d'Hydrologie Appliquée, Institut National de l'Eau, Cotonou 01 BP: 4521, Benin
- 3. West African Science Service Center on Climate Change and Adapted Land Use, Institut National de l'Eau, Cotonou 01 BP: 4521, Benin
- 4. International Chair in Mathematical Physics and Applications (ICMPA—UNESCO, University of Abomey-Calavi (UAC), Cotonou 072 BP: 50, Benin
Description
This study analyzed the trends of extreme daily rainfall indices over the Oueme 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.
Open Access
Licence Attribution (CC BY)
Publisher Website
Access full text
Publication Details
Journal article
References
Powell . Trends in daily temperature and precipitation extremes for the Southeas...
Read more
Hagemann . Impact of a statistical bias correction on the projected hydrological...
Read more
Ozer, P., and Mahamoud, A. (2013). Recent Extreme Precipitation and Temperature ...
Read more
Rajeevan, M., Bhate, J., and Jaswal, A.K. (2008). Analysis of variability and tr...
Read more
Yazid . Regional Observed Trends in Daily Rainfall Indices of Extremes over the ...
Read more
Showing first 5 of 45 references.