Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems

Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems

Mesoscale convective cloud systems have a small horizontal scale and a short lifetime, which brings great challenges to quantitative precipitation estimation (QPE) by satellite remote sensing. Combining machine learning models and geostationary satellite spectral information is an effective method f...

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Bibliographic Details
Main Authors:	Zheyu He, Yuanjian Yang, Runzhuo Fang, Shaohui Zhou, Wenchuan Zhao, Yingjie Bai, Junsheng Li, Bo Wang
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-01-01
Series:	Frontiers in Environmental Science
Subjects:	shapley additive explanations (SHAP) interpretability random forest quantitative precipitation estimation (QPE) himawari-8
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.1057081/full

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