3 papers
stat.AP2026
Multidata Causal Discovery for Statistical Hurricane Intensity Forecasting
Saranya Ganesh S, Frederick Iat-Hin Tam, Milton S. Gomez +5
Improving statistical forecasts of tropical cyclone (TC) intensity is limited by complex nonlinear interactions and difficulty in identifying relevant predictors. Conventional meth…
physics.ao-ph2025
From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
Frederick Iat-Hin Tam, Fabien Augsburger, Tom Beucler
Reliably identifying and understanding temporal precursors to extreme wind gusts is crucial for early warning and mitigation. This study proposes a simple data-driven approach to e…
physics.ao-ph2024
Identifying Three-Dimensional Radiative Patterns Associated with Early Tropical Cyclone Intensification
Frederick Iat-Hin Tam, Tom Beucler, James H. Ruppert
Cloud radiative feedback impacts early tropical cyclone (TC) intensification, but limitations in existing diagnostic frameworks make them unsuitable for studying asymmetric or tran…