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.

Analyzing a flood of data to prepare for climate change

Climate change often comes down to how it affects water, whether it's for drinking, electricity generation, or how flooding affects people and infrastructure. To better understand these impacts, Oak Ridge National Laboratory ...

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