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Found 2 papers, 1 papers with code
Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
In addition, we show that the SWG emulator trained on 80 years of data is capable of estimating extreme return times of order of thousands of years for heatwaves longer than several days more precisely than the fit based on generalised extreme value distribution.
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
The main scientific message is that most of the time, training neural networks for predicting extreme heatwaves occurs in a regime of lack of data.
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