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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| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Geophysical Union (AGU)
2025-01-01
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| Series: | Journal of Advances in Modeling Earth Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2024MS004525 |
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