Nonlinear Processes in Geophysics
Nonlinear Processes in Geophysics
NPG
Articles | Volume 29, issue 2
Articles | Volume 29, issue 2
https://doi.org/10.5194/npg-29-171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/npg-29-171-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 29, issue 2
Research article
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02 May 2022
Research article | Highlight paper |  | 02 May 2022

Using neural networks to improve simulations in the gray zone

Raphael Kriegmair, Yvonne Ruckstuhl, Stephan Rasp, and George Craig

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Latest update: 13 Dec 2024
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Short summary
Our regional numerical weather prediction models run at kilometer-scale resolutions. Processes that occur at smaller scales not yet resolved contribute significantly to the atmospheric flow. We use a neural network (NN) to represent the unresolved part of physical process such as cumulus clouds. We test this approach on a simplified, yet representative, 1D model and find that the NN corrections vastly improve the model forecast up to a couple of days.
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