Climate and extreme rainfall events in the Mono river basin (West Africa): investigating future changes with Regional Climate Models

Autor: Constant Houndenou, Arona Diedhiou, Henri Sourou Totin Vodounon, Salomon Obahoundje, Gil Mahé, Kouakou Kouadio, Ernest Amoussou, Michel Boko, Pierre Camberlin, Hervé Awoye
Přispěvatelé: Département de Géographie et Aménagement du Territoire, Université de Parakou (UP), Laboratoire Pierre Pagney, Climat, Eau, Ecosystème et Développement (LACEEDE), University of Abomey Calavi (UAC), African Centre of Excellence on Climate Change, Biodiversity and Sustainable Development, Université Félix Houphouët-Boigny (UFHB), Biogéosciences [UMR 6282] [Dijon] (BGS), Centre National de la Recherche Scientifique (CNRS)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d’Hydraulique et de Maîtrise de l’Eau (LHME), Université d’Abomey-Calavi (UAC), Department of Geography [Calgary], University of Calgary, Institut des Géosciences de l’Environnement (IGE), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Laboratoire de Physique de l'Atmosphère et de Mécanique des Fluides (LPA-MF), Station d'écologie de Lamto, Université Abobo-Adjamé-Centre de Recherche en Ecologie, Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université d’Abomey-Calavi = University of Abomey Calavi (UAC), Biogéosciences [UMR 6282] (BGS), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2020
Předmět:
lcsh:Hydraulic engineering
010504 meteorology & atmospheric sciences
Geography
Planning and Development

0207 environmental engineering
Drainage basin
ENSEMBLE
02 engineering and technology
Aquatic Science
01 natural sciences
Biochemistry
West africa
Ecosystem services
lcsh:Water supply for domestic and industrial purposes
lcsh:TC1-978
Natural hazard
Precipitation
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology
020701 environmental engineering
0105 earth and related environmental sciences
Water Science and Technology
geography
lcsh:TD201-500
geography.geographical_feature_category
Flood myth
extreme rainfall events
Mono basin
regional climate models
15. Life on land
13. Climate action
[SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology
Climatology
Air temperature
Environmental science
Climate model
Zdroj: Water
Water, MDPI, 2020, 12 (3), pp.833. ⟨10.3390/w12030833⟩
Volume 12
Issue 3
Water, Vol 12, Iss 3, p 833 (2020)
Water, 2020, 12 (3), pp.833. ⟨10.3390/w12030833⟩
ISSN: 2073-4441
Popis: This study characterizes the future changes in extreme rainfall and air temperature in the Mono river basin where the main economic activity is weather dependent and local populations are highly vulnerable to natural hazards, including flood inundations. Daily precipitation and temperature from observational datasets and Regional Climate Models (RCMs) output from REMO, RegCM, HadRM3, and RCA were used to analyze climatic variations in space and time, and fit a GEV model to investigate the extreme rainfalls and their return periods. The results indicate that the realism of the simulated climate in this domain is mainly controlled by the choice of the RCMs. These RCMs projected a 1 to 1.5 °
C temperature increase by 2050 while the projected trends for cumulated precipitation are null or very moderate and diverge among models. Contrasting results were obtained for the intense rainfall events, with RegCM and HadRM3 pointing to a significant increase in the intensity of extreme rainfall events. The GEV model is well suited for the prediction of heavy rainfall events although there are uncertainties beyond the 90th percentile. The annual maxima of daily precipitation will also increase by 2050 and could be of benefit to the ecosystem services and socioeconomic activities in the Mono river basin but could also be a threat.
Databáze: OpenAIRE