Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China

Comparison of simulating visibility using XGBoost and IMPROVE method: a case study in East China

The prediction accuracy of atmospheric visibility significantly impacts daily life. However, there is a relative scarcity of research on post-processing methods for visibility obtained from the WRF-Chem atmospheric chemistry model results. In order to explore a more accurate method for visibility ca...

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Bibliographic Details
Main Authors:	Xin Zhang, Yue Wang, Zibo Zhuang, Yuxi Liu, Chengduo Yuan, Lei Su, Jingyuan Shao, Pak-Wai Chan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Environmental Science
Subjects:	visibility simulation XGBoost IMPROVE equation WRF-Chem model machine learning atmospheric chemistry
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2024.1534113/full
Tags:	Add Tag No Tags, Be the first to tag this record!

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