TerraWind: A Deep Learning‐Based Near‐Surface Winds Downscaling Model for Complex Terrain Region
Abstract Wind downscaling is crucial for refining coarse‐scale wind estimates, improving local‐scale predictions, and supporting various applications like risk assessment and planning. Dynamic downscaling models demand extensive computational resources and time, leading to a shift toward more effici...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-12-01
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| Series: | Geophysical Research Letters |
| Online Access: | https://doi.org/10.1029/2024GL112124 |
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