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Found 3 papers, 1 papers with code
MotifDisco: Motif Causal Discovery For Time Series Motifs
Therefore, in this paper we develop MotifDisco (motif disco-very of causality), a novel causal discovery framework to learn causal relations amongst motifs from time series traces.
Neural General Circulation Models for Weather and Climate
Here we present the first GCM that combines a differentiable solver for atmospheric dynamics with ML components, and show that it can generate forecasts of deterministic weather, ensemble weather and climate on par with the best ML and physics-based methods.
Machine learning emulation of gravity wave drag in numerical weather forecasting
By training on an increased complexity version of the existing parameterisation scheme we build emulators that produce more accurate forecasts.
Weather Forecasting
Atmospheric and Oceanic Physics
Computational Physics
