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

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
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
Series:Journal of Advances in Modeling Earth Systems
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
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https://doi.org/10.1029/2024MS004525

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