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.LG2024
Stratospheric aerosol source inversion: Noise, variability, and uncertainty quantification
J. Hart, I. Manickam, M. Gulian +6
Stratospheric aerosols play an important role in the earth system and can affect the climate on timescales of months to years. However, estimating the characteristics of partially…