Capturing Subgrid Cold Pool Dynamics With U‐Net: Insights From Large‐Eddy Simulation for Storm‐Resolving Modeling
ABSTRACT This study explores the potential of deep learning as a subgrid parameterization for global storm‐resolving models (GSRMs) by employing Large‐Eddy Simulation (LES) to generate high‐resolution cold pools under various convective structures. The high‐resolution data is coarsened to 0.8, 1.6,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Atmospheric Science Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/asl.1309 |
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