Satellite data assimilation improves forecasts of severe weather

In 2020, a line of severe thunderstorms unleashed powerful winds that caused billions in damages across the Midwest United States. A technique developed by Penn State scientists that incorporates satellite data could improve ...

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.

Temperatures are rising, but soil is getting wetter—why?

Soil moisture can determine how quickly a wildfire spreads, how fast a hill turns into a mudslide, and perhaps most importantly, how productive our food systems are. As temperatures rise due to human-caused climate change, ...

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