Unveiling multiscale drivers of wind speed in Michigan using machine learning
Abstract The Great Lakes region has a unique climatology due to its large water bodies. Dynamic seasonal wind speeds are an important component in this climate that requires further study. Using 10-m wind data from ERA5-Land, this study employs remote teleconnection indices and local climate feature...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | npj Climate and Atmospheric Science |
| Online Access: | https://doi.org/10.1038/s41612-025-01166-x |
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