The Efficient Integration of Dust and Numerical Weather Prediction for Renewable Energy Applications

Abstract The growing demand for renewable energy underscores the importance of accurate dust forecasting in regions with abundant wind and solar resources. However, leading real‐time global numerical weather prediction (NWP) models often lack dust modules due to computational constraints. Current “N...

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Bibliographic Details

Published in:	Journal of Advances in Modeling Earth Systems
Main Authors:	Xi Chen, Mei Chong, Shian‐Jiann Lin, Zhi Liang, Paul Ginoux, Yuan Liang, Bihui Zhang, Qian Song, Shengkai Wang, Jiawei Li, Yimin Liu
Format:	Article
Language:	English
Published:	American Geophysical Union (AGU) 2025-01-01
Subjects:	NWP extreme dust storm solar energy high‐resolution dust forecast physics‐dynamics integration real‐time dust forecast
Online Access:	https://doi.org/10.1029/2024MS004525