Digital Twin Earth Hydrology Next

This project is funded by the European Space Agency (ESA) to prototype a full advanced end-to-end demonstrator of DTE over Europe and targeted regions in Africa and central America at high resolution in space and time (targeting 1 km and 1 hour).
The contribution of the Geodesy Group is this DTE Hydrology Next project is around addressing 1) Developing Machine Learning-based algorithms for downscaling satellite gravity and satellite soil moisture data based on the available 1 km resolution water storage and water flux products of this project; (2) A scientific development for formulating statistical inversion and Bayesian Fusion approaches for estimating groundwater storage from various input data with different uncertainty levels; (3) Addressing differences between the temporal resolution of satellite data with the target temporal resolution of this study (hourly and daily time scales), and (4) validations against the in-situ groundwater network of Europe.