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>The SWOT satellite mission : Contribution of the large swath altimetry for improving the hydrological and hydrodynamic processes of a large scale model
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The SWOT satellite mission : Contribution of the large swath altimetry for improving the hydrological and hydrodynamic processes of a large scale model
The hydrologic and hydrodynamic processes of the Niger basin are largely influenced by the West African monsoon variabilty. In the last 3 decades these variations have resulted in an increase of extreme events such as floods and droughts. Retrospectively, the climate might be impacted by the evaporation fluxes from the inner Delta flooded region, at least regionally. A better understanding of the Niger basin water cycle is a crucial issue for water resources management but requires observation datasets with a large spatial and temporal coverage. The SWOT satellite mission will provide 2D global maps of water level and slope at an unprecedented resolution (50 to 100 meters). Within the framework of the preparation of the SWOT mission, this thesis aims at proposing a SWOT data assimilation strategy for the improvement of global scale hydrological models. First, the ISBA-TRIP hydrological model from CNRM is evaluated over the Niger basin. This model includes an inundation scheme and simple aquifer reservoir. The model diagnostics are compared to an extensive set of in-situ and satellite observations. According to its relative simple physics, the model is able to simulate in a realistic manner, the continental water dynamics : discharge, water levels, floods, total water storage variations. Sensitivity tests are also performed to determine the most sensitve ISBA-TRIP parameters. Among them, the Manning coefficient has a key role in the flow dynamics but its estimation is difficult and usually based on geomorphologic relationships. The second part of this work consists in setting up a SWOT data assimilation strategy for the optimization of the ISBA-TRIP parameters. Since the SWOT observations are not available yet and also to assess the skills of the assimilation method, the study is carried out in the framework of an Observing System Simulation Experiment (OSSE). The corrected parameter is the Manning coefficient, spatially distributed over the river. The assimilation allows a good improvement of the relative bias of discharge and water level over the river. The Manning coefficient is also globally improved and tends to an optimal value. Moreover, the water storage anomalies and flooded fraction are also better simulated. Finally, the study shows that the method is useful for hydrological forecasting over longer time periods than those of the calibration.
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