Improving PM<sub>2.5</sub> and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting
- DOI
- 10.1029/2025jh000640
- Published
- 2025-06
- Container
- Journal of Geophysical Research: Machine Learning and Computation
- Publisher
- American Geophysical Union (AGU)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1029/2025jh000640,
title = {Improving PM<sub>2.5</sub> and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting},
author = {Ziyin Zhang and Jing Xu and Xiujuan Zhao and Siyu Cheng},
year = {2025},
journal = {Journal of Geophysical Research: Machine Learning and Computation},
doi = {10.1029/2025jh000640},
url = {https://doi.org/10.1029/2025jh000640}
}RIS
TY - JOUR TI - Improving PM<sub>2.5</sub> and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting AU - Ziyin Zhang AU - Jing Xu AU - Xiujuan Zhao AU - Siyu Cheng PY - 2025 JO - Journal of Geophysical Research: Machine Learning and Computation DO - 10.1029/2025jh000640 UR - https://doi.org/10.1029/2025jh000640 ER -
APA
Zhang, Z., Xu, J., Zhao, X., & Cheng, S. (2025). Improving PM<sub>2.5</sub> and Visibility Predictions in China Using Machine Learning and Ensemble Forecasting. Journal of Geophysical Research: Machine Learning and Computation. https://doi.org/10.1029/2025jh000640
Source records
- crossref · retrieved 2026-11-10T11:03:22.184Z