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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.17645043 |
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| _version_ | 1866901825161003008 |
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| author | Zhang, Enze |
| author_facet | Zhang, Enze |
| contents | <p>This software contains the deep learning-based downscaling method that can enhance the spatial resolution of wind field prediction from AI weather models for tropica cyclones. We also include an example of Aurora wind prediction that is initialized at 18:00 UTC, 2025/09/21.</p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17645043 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models Zhang, Enze <p>This software contains the deep learning-based downscaling method that can enhance the spatial resolution of wind field prediction from AI weather models for tropica cyclones. We also include an example of Aurora wind prediction that is initialized at 18:00 UTC, 2025/09/21.</p> <p> </p> |
| title | Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models |
| url | https://doi.org/10.5281/zenodo.17645043 |