A new physics-constrained transfer learning framework lets AI retrieval algorithms trained on one weather satellite work ...

The combined analysis of present and upcoming atmospheric-neutrino experiments may lead to the solution of outstanding puzzles in neutrino physics. Atmospheric neutrinos are produced when cosmic rays ...

Artificial intelligence (AI) is bringing notable changes to atmospheric science, particularly with the introduction of large AI weather models like Pangu-Weather and GraphCast. However, alongside ...

The quest to identify a new way to potentially counter one of the world's most widely discussed solar geoengineering proposals has taken a new, exciting turn—raising questions about how future climate ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Scientists recently analyzed Vincent van Gogh’s Starry Night to see how well its famous swirls matched up with known atmospheric physics. After analysis, they found that not only did the shapes match ...

The department prides itself on providing graduate students with innovative, world-class research opportunities in a collegial environment. The Department of Physics and Atmospheric Science is a large ...