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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| 主要な著者: | , , , , , , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Copernicus Publications
2024-11-01
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| シリーズ: | Geoscientific Model Development |
| オンライン･アクセス: | https://gmd.copernicus.org/articles/17/8223/2024/gmd-17-8223-2024.pdf |
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