1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.ao-ph2026
Boosting Ensembles for Statistics of Tails at Conditionally Optimal Advance Split Times
Justin Finkel, Paul A. O'Gorman
Climate science needs more efficient ways to study high-impact, low-probability extreme events. Ensemble boosting, a form of rare event sampling, offers a novel strategy to extract…
physics.ao-ph2026★ 1 cited
Rare event sampling for moving targets: extremes of temperature and daily precipitation in a general circulation model
Justin Finkel, Paul A. O'Gorman
Extreme weather events epitomize high cost: to society through their physical impacts, and to computer servers that simulate them to assess risk and advance physical understanding.…
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…