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This project focuses on considering uncertainties in hydrological models to obtain Groundwater Storage variations (GWS) during the period of April 2002 to June 2017 based on the availability of Gravity Recovery And Climate Experiment (GRACE) gravity data over Canadian Prairies. Moreover, we extract all components of groundwater signals in this area using the least square method in conjunction with three different hydrological models containing WaterGap Hydrology Model (WGHM), Global Land Data Assimilation System (GLDAS) Version2.0 and GLDAS Version 2.1. Then, we compare the performance of the aforementioned hydrological models and real climatological data to mapping groundwater storage variations associated with GRACE data. Finally, we validate the results by several statistically robust techniques and upscale groundwater variations by GRACE at the wells, both whole Alberta and sub-regions of Alberta.
Kalifa Goïta
University West
Sociology
Education
Université de Sherbrooke
Globalink Research Award
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