Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration

Interpretable ensemble learning unveils main aerosol optical properties in predicting cloud condensation nuclei number concentration

Abstract Variations in cloud condensation nuclei number concentration (N CCN) significantly influence cloud microphysics, yet direct N CCN measurements remain challenging. Here, we present an N CCN ensemble learning (NEL) model utilizing ensemble learning and interpretability analysis on aerosol opt...

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Bibliographic Details
Main Authors: Nan Wang, Yuying Wang, Chunsong Lu, Bin Zhu, Xing Yan, Yele Sun, Jialu Xu, Junhui Zhang, Zhuoxuan Shen
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Climate and Atmospheric Science
Online Access:https://doi.org/10.1038/s41612-025-01181-y
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