Improving PM2.5 and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting
Abstract Accurate PM2.5 and visibility predictions are essential for effective air quality management in central and eastern China. This study seeks to enhance the regional air quality numerical prediction system (RMAPS‐Chem) by integrating machine learning techniques and a dynamic ensemble algorith...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-06-01
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| Series: | Journal of Geophysical Research: Machine Learning and Computation |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2025JH000640 |
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