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Found 2 papers, 1 papers with code
Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events
We find evidence that machine learning (ML) weather prediction models can locally achieve similar accuracy to HRES on record-shattering events such as the 2021 Pacific Northwest heatwave and even forecast the compound 2021 North American winter storm substantially better.
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk
We propose the EQRN model that combines tools from neural networks and extreme value theory into a method capable of extrapolation in the presence of complex predictor dependence.
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