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Validation of Three Satellite Precipitation Products in Two South-Western African Watersheds: Bandama (Ivory Coast) and Mono (Togo)

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Atmospheric and Climate Sciences 2020年第4期10卷 597-613页

作者： Salomon Obahoundje vami hermann nguessan bi Kouakou Lazare Kouassi Marc Youan Ta Ernest Amoussou Arona Diedhiou LAPAMF-African Centre of Excellence on Climate Change Biodiversity and Sustainable Development Université Félix Houphou&euml t Boigny Abidjan Ivory Coast Laboratoire Mixte International Nexus (LMI NEXUS) Université Félix Houphou&euml t Boigny Bingerville Abidjan Ivory Coast CURAT (Centre Universitaire de Recherche et d’Application en Télédétection) Université Félix Houphou&euml t Boigny Abidjan Ivory Coast UFR-Environnement Université Jean Lorougnon GUEDE Daloa Ivory Coast Département de Géographie et Aménagement de Territoire (DGAT/FLASH) Université de Parakou Parakou Benin IRD CNRS Grenoble INP IGE University Grenoble Alpes Grenoble France

Satellite precipitation products are widely used in different domain, in area where there is a lack in observation. These have different spatio-temporal resolutions consequently resulting in different precipitation amounts depending on the product. The present study validates three satellite products, namely the Climate Hazard group Infrared Precipitation with Stations (CHIRPS), the Climate Research Unit (CRU) and the Global Precipitation Climatology Project (GPCP) over Bandama and Mono river basins for 1981-2005 and 1981-2016 respectively by comparing them to the observation precipitation of the basin. The available studies are focused on the regional scale but not on a watershed scale for hydrological studies. The analysis reveals that all the products are strongly correlated to each other as well as to the observed data at basin level. The Lamb coefficient test shows that most all the chosen basin namely Bandama and Mono presents the same climatic indices. All the products present the same variability and trend as the observation at basins scale. By comparing those products to observation, CHIRPS product following by GPCP give the lowest mean absolute error (MAE) at annual and seasonal time scales while CHIRPS is followed by CRU at monthly scale. Overall, all products overestimate the precipitation at Bandama basin while they underestimate it over Mono river basin. The comparison over 1981-2017 period of the total annual precipitation increasing southern ward (from Sahel to the coastal zone) for all the three studied products which varies from 300 mm to 2400 mm/year. All the three products are not significantly different from one another and they all highlight the same areas of hotspot rainfall in the region. The same conclusion is made at monthly and seasonal scales. Therefore, any of these products especially CHIRPS can be used for study in this region due to its lowest bias and MAE.

关键词： Precipitation Satellite Product West Africa Validation Mono and Bandama

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Analysis and Forecasting of the Impact of Climatic Parameters on the Yield of Rain-Fed Rice Cultivation in the Office Riz Mopti in Mali

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Atmospheric and Climate Sciences 2019年第3期9卷 479-497页

作者： Angora Aman Moussa Nafogou hermann vami N’Guessan bi Yves K. Kouadio Hélène Boyossoro Kouadio Tropical Climate Team Laboratory of Atmospheric Physics and Fluid Mechanics (LAPA MF) University of Felix Houphouet-Boigny Abidjan Cote d’Ivoire University Center of Applied Research in Remote Sensing (CURAT) University of Felix Houphouet-Boigny Abidjan Cote d’Ivoire

During the period spanning the 1970s and1980s, countries in the West African Sahel experienced severe drought. Its impact on agriculture and ecosystems has highlighted the importance of monitoring the Sahelian rainy season. In Sahelian countries such as Mali, rainfall is the major determinant of crop production. Unfortunately, rainfall is highly variable in time and space. Therefore, this study is conducted to analyze and forecast the impact of climatic parameters on the rain-fed rice yield cultivation in the Office Riz Mopti region. The data were collected from satellite imagery, archived meteorology data, yield and rice characteristics. The study employed Hanning filter to highlight interannual fluctuation, a test of Pettitt and the standardized precipitation index (SPI) to analyze the rainfall variability. Climate change scenarios under the RCP 8.5 scenario (HadGEM-2 ES) and agroclimatic (Cropwat) model are carried out to simulate the future climate and its impact on rice yields. The results of satellite image classifications of 1986 and 2016 show an increase of rice fields with a noticeable decrease of bare soil. The analysis of the SPI reveals that over the 30 years considered, 56.67% of the rainy seasons were dry (1986-2006) and 43.33% were wet (2007-2015). The modelling approach is applied over 1986-2006 and 2007-2015 periods—considered as typical dry and rainy years—and applied over the future, with forecasts of climate change scenarios in 2034. The results show a decrease in potential yield during dry and slightly wet years. The yields of rain-fed rice will be generally low between 2016 and 2027. Deficits are observed over the entire study area, in comparison with the potential yield. Thus, this situation could expose the population to food insecurity.

关键词： Climate Change Remote Sensing Rain-Fed Rice Forecast Yield Mali

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