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A gradient boosting-based machine learning framework for improving atmospheric visibility numerical prediction
DOI:10.1016/j.atmosres.2026.109012.png)
Abstract
En 中文
• Develop an ensemble ML mode GBEM-VIS to improve atmospheric VIS numerical prediction. • GBEM-VIS obviously improves the low VIS numerical prediction for 10/5/3 km levels. • Low VIS improvement varies with the relative contribution by aerosols and humidity. • Extreme low VIS improvement is the most distinguished under high humidity conditions.
Keywords:
atmospheric visibility
machine learning
numerical prediction
gradient boosting
aerosols
Journal
IF:
4.4
Papers:
1.1K
Citations:
2.2W

