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physics.comp-ph2025
Global Forecasting of Tropical Cyclone Intensity Using Neural Weather Models
Milton Gomez, Louis Poulain--Auzeau, Alexis Berne +1
Numerical Weather Prediction (NWP) models that integrate coupled physical equations forward in time are the traditional tools for simulating atmospheric processes and forecasting w…
physics.comp-ph2025
Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
Tom Beucler, Arthur Grundner, Sara Shamekh +3
The added value of machine learning for weather and climate applications is measurable through performance metrics, but explaining it remains challenging, particularly for large de…