Valid time shifting ensemble Kalman filter (VTS-EnKF) for dust storm forecasting
<p>Dust storms pose significant risks to health and property, necessitating accurate forecasting for preventive measures. Despite advancements, dust models grapple with uncertainties arising from emission and transport processes. Data assimilation addresses these by integrating observations to recti...
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| Principais autores: | , , , , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Copernicus Publications
2024-11-01
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| Serier: | Geoscientific Model Development |
| Online adgang: | https://gmd.copernicus.org/articles/17/8223/2024/gmd-17-8223-2024.pdf |
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