Methods and systems for climate forecasting using artificial neural networks
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United States of America Patent
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Jan 21, 2025
Grant Date -
May 12, 2022
app pub date -
Jan 24, 2022
filing date -
Apr 30, 2019
priority date (Note) -
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status (Latency Note)
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Abstract
Methods and systems for generating a neural network (NN)-based climate forecasting model are disclosed. The methods and systems perform steps of selecting a global climate simulation dataset from a plurality of simulation datasets each generated from a global climate simulation model; training the NN-based climate forecasting model on the selected global climate simulation dataset; and validating the NN-based climate forecasting model using observational historical climate data. Embodiments of the present invention enable accurate climate forecasting without the need to run new dynamical global climate simulations on supercomputers. Also disclosed are benefits of the new methods, and alternative embodiments of implementation.
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