1 citations · 2 across the 3 of their papers we have counts for
3 papers
physics.ao-ph2025
CERA: A Framework for Improved Generalization of Machine Learning Models to Changed Climates
Shuchang Liu, Paul A. O'Gorman
Robust generalization under climate change remains a major challenge for machine learning applications in climate science. Most existing approaches struggle to extrapolate beyond t…
physics.ao-ph2024★ 1 cited
Dependence of convective precipitation extremes on near-surface relative humidity
Robert J. van der Drift, Paul A. O'Gorman
Precipitation extremes produced by convection have been found to intensify with near-surface temperatures at a Clausius-Clapeyron rate of to K in simulations of ra…
physics.ao-ph2024★ 1 cited
Bringing statistics to storylines: rare event sampling for sudden, transient extreme events
Justin Finkel, Paul A. O'Gorman
A leading goal for climate science and weather risk management is to accurately model both the physics and statistics of extreme events. These two goals are fundamentally at odds:…