2 papers
physics.ao-ph2026
FAST-ML: A Hybrid Physics-Machine Learning Framework for Tropical Cyclone Intensity Forecasting
Shijie Xiao, Jonathan Lin, Thomas Ehrmann +1
Rapid intensification (RI) remains one of the most consequential and difficult aspects of tropical cyclone (TC) forecasting. Although full-physics numerical weather prediction mode…
cs.CE2026
TCBench: A Benchmark for Tropical Cyclone Track and Intensity Forecasting at the Global Scale
Milton Gomez, Marie McGraw, Saranya Ganesh S. +13
TCBench is a benchmark for evaluating global, short to medium-range (1-5 days) forecasts of tropical cyclone (TC) track and intensity. To allow a fair and model-agnostic comparison…