3 papers
physics.ao-ph2026
Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
Kelsey Lieberman, Laura Slivinski, Matt Bender +6
Satellite observation operators play an essential role in atmospheric data assimilation by translating model state variables into observation space. Previous work has shown that de…
cs.CV2026
Scaling Remote Sensing Foundation Models: Data Domain Tradeoffs at the Peta-Scale
Charith Wickrema, Eliza Mace, Hunter Brown +7
We explore the scaling behaviors of artificial intelligence to establish practical techniques for training foundation models on high-resolution electro-optical (EO) datasets that e…
cs.CV2024
Anticipatory Understanding of Resilient Agriculture to Climate
David Willmes, Nick Krall, James Tanis +6
With billions of people facing moderate or severe food insecurity, the resilience of the global food supply will be of increasing concern due to the effects of climate change and g…