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Found 2 papers, 1 papers with code
Using Explainable AI and Transfer Learning to understand and predict the maintenance of Atlantic blocking with limited observational data
This work demonstrates the potential for machine learning methods to extract meaningful precursors of extreme weather events and achieve better prediction using limited observational data.
Learning forecasts of rare stratospheric transitions from short simulations
We compute the probability and lead time efficiently by solving equations involving the transition operator, which encodes all information about the dynamics.
Atmospheric and Oceanic Physics Dynamical Systems Data Analysis, Statistics and Probability
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