- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Precipitation Measurement and Analysis
- Plant Water Relations and Carbon Dynamics
- Climate variability and models
- Hydrology and Drought Analysis
- Species Distribution and Climate Change
- Meteorological Phenomena and Simulations
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2024
AgroParisTech
2024
Université de Montpellier
2024
Institut de Recherche pour le Développement
2024
Institut Agro Montpellier
2024
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2024
Université Gaston Berger
2023-2024
Senegal River Basin in West Africa This paper aims to evaluate the sensitivity of global hydrological models potential evapotranspiration (PET) methods Basin. Potential is estimated using 21 and its influence on performance three GR (GR4J, GR5J GR6J) investigated five catchments. The data used are mean rainfall, discharge observed calculated PET over period 1984–1995. based climate those from NASA POWER reanalysis data. methodology consists in: (i) comparing consistency with respect PET,...
In recent years, accessing rainfall data from ground observation networks maintained by national meteorological services in West Africa has become increasingly challenging. This is primarily due to high acquisition costs and the often sparse distribution of gauges across region, which limits their use hydrological studies related research. At same time, rising availability precipitation products derived satellite/earth observations, reanalysis datasets, situ measurements presents exciting...
Study region: Senegal River Basin in West AfricaStudy focus: This paper aims to evaluate the sensitivity of global hydrological models evapotranspiration estimating methods Basin. For this, 21 are used analyze their effect on GR (GR4J, GR5J and GR6J) performance. The data mean rainfall, discharge observed calculated PET over period 1984-1995. is based climate those from NASA POWER reanalysis data. methodology consists in: (i) comparing consistency with respect PET, (ii) assessing robustness...