http://197.159.135.214/jspui/handle/123456789/26 Sun, 05 Apr 2026 15:56:50 GMT 2026-04-05T15:56:50Z http://197.159.135.214/jspui/handle/123456789/740 Spatio-Temporal Variability of Clouds and Associated Shortwave Radiative Effects in West Africa with a Satellite-based and Reanalysis Data Danso, Derrick K.; Anquetin, Sandrine; Diedhiou, Arona; Lavaysse, Christophe Research Article Tue, 01 Jan 2019 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/740 2019-01-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/739 Projected changes in extreme precipitation intensity and dry spell length in Côte d’Ivoire under future climates Yapo, Assi Louis Martial; Diawara, Adama; Kouassi, Benjamin K.; Yoroba, Fidèle; Sylla, Mouhamadou Bamba; Kouadio, Kouakou; Tiémoko, Dro T.; Koné, Dianikoura Ibrahim; Akobé, Elisée Y.; Yao, Kouassi P. A. T. This study analyzes projected changes in seasonal extreme precipitation intensity and dry spell length in the investigation area (Côte d’Ivoire) under RCP4.5 and RCP8.5 forcing scenarios. To this end, a multi-model ensemble of fourteen CORDEX-Africa regional climate model simulations is used during the three stages of the West African Monsoon (WAM) season (April–June (AMJ), July– September (JAS), and October–December (OND)). The results indicate that Côte d’Ivoire is subject to a robust increase of cumulative intensity of precipitation associated with an amplification of extreme precipitation events during theWAM. In particular during JAS, a substantial increase in extreme precipitation reaching up to 50–60% compared to the reference mean value prevails in the western and coastal areas in the far future and under the RCP8.5 scenario. In addition, AMJ season is dominated by an increase in dry spell length of about 12% and 17% in the near future and 20% and 30% in the far future in the entire country under RCP4.5 and RCP8.5 scenarios, respectively, albeit considerable uncertainties. OND considered as the post-monsoon season is mostly characterized by a robust decrease in dry spell length more marked in the southwest in the RCP8.5 scenario during the far future. These results suggest that agricultural production and particularly cocoa plantations in the southwestern regions could be at the risk of flooding events and that water stress remains a threat for cocoa, coffee, and other cash crop plantations in the eastern regions. Research Article Wed, 01 Jan 2020 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/739 2020-01-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/738 Annual variability of aerosol optical thickness and analysis of meteorological factors contribution over two urban sites in Cote d'Ivoire (Abidjan and Korhogo) Silué, Siélé; Adjon, Anderson Kouassi; N'Datchoh, Evelyne Touré; Yoboué, Véronique Sat, 01 May 2021 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/738 2021-05-01T00:00:00Z http://197.159.135.214/jspui/handle/123456789/737 Water resources management using the WRF-Hydro modelling system: Case-study of the Tono dam in West Africa Naabil, E.; Lamptey, B.L; Arnault, J.; Olufayo, A.; Kunstmann, H. Water resources are a major source of economic development for most West African (WA) countries. There is, however inadequate information on these resources for the purposes of planning, decision-making and management. This paper explores the potential for using a state of the art hydrological model (WRF-Hydro) in a fully coupled (i.e. land surface hydrology-atmosphere) mode to assess these water resources, particularly the Tono basin in Ghana. The WRFHydro model is an enhanced version of the Weather Research and Forecasting model (WRF) which allows simulating river discharge. A 2-domain configuration is chosen: an outer domain at 25 km horizontal resolution encompassing the West African Region and an inner domain at 5 km horizontal resolution centered on the Tono basin. The infiltration partition parameter and Manning’s roughness parameter were calibrated to fit the WRF-Hydro simulated discharge with the observed data. The simulations were done from 1999 to 2003, using 1999 as a spin-up period. The results were compared with TRMM precipitation, CRU temperature and available observed hydrological data. The WRF-Hydro model captured the attributes of the “observed” streamflow estimate; with Nash-Sutcliff efficiency (NSE) of 0.78 and Pearson’s correlation of 0.89. Further validation of model results is based on using the output from the WRF-Hydro model as input into a water balance model to simulate the dam levels. WRF-Hydro has shown the potential for use in water resource planning (i.e. with respect to streamflow and dam level estimation). However, the model requires further improvement with respect to calibration of model parameters (e.g. baseflow and saturated hydraulic conductivity) considering the effect of the accumulation of model bias in dam level estimation. Research Article Mon, 01 May 2017 00:00:00 GMT http://197.159.135.214/jspui/handle/123456789/737 2017-05-01T00:00:00Z