Correction of CAMS PM<sub>10</sub> Reanalysis Improves AI-Based Dust Event Forecast

Correction of CAMS PM<sub>10</sub> Reanalysis Improves AI-Based Dust Event Forecast

High dust loading significantly impacts air quality, climate, and public health. Early warning is crucial for mitigating short-term effects, and accurate dust field estimates are needed for forecasting. The Copernicus Atmosphere Monitoring Service (CAMS) offers global reanalysis datasets and forecas...

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Bibliographic Details
Main Authors:	Ron Sarafian, Sagi Nathan, Dori Nissenbaum, Salman Khan, Yinon Rudich
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Remote Sensing
Subjects:	PM<sub>10</sub> CAMS dust forecasting artificial intelligence machine learning
Online Access:	https://www.mdpi.com/2072-4292/17/2/222
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