A new model for measuring global water storage

In their recent publication in Nature Water, D-BAUG researchers Junyang Gou and Professor Benedikt Soja introduced a finely resolved model of terrestrial water storage using a novel deep learning approach.

By integrating satellite observations with hydrological models, their method achieves remarkable accuracy even in smaller basins.

This model promises significant benefits across various domains, including hydrology, climate science, sustainable water management, and hazard prediction.