Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning

2023/07/18 by George Miloshevich, Miloshevich, George, Lucente, Dario +3 · 3 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Data Analysis #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Statistics and Probability (physics.data-an)

paper · pdf · doi:10.48550/arxiv.2307.09060

openalex publication_date 2023/07/18 · openalex created_date 2023/07/20 · openalex updated_date 2026/07/30

Abstract

This dataset was originally generated by running a Plasim general circulation model for 8000 years. We extract a small subset of this dataset which is only 500 years long with temperature, soil moisture and 500 hPa Geopotential extracted over the northern hemisphere above 30 North. This dataset can be used to reproduce the results in https://arxiv.org/abs/2307.09060 concerning training CNN and SWG with cross-validation length of 500 years.

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