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Thermodynamics-guided machine learning model for predicting convective boundary layer height and its multi-site applicability.

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Bibliographic Details
Title: Thermodynamics-guided machine learning model for predicting convective boundary layer height and its multi-site applicability.
Authors: Chu, Yufei1 (AUTHOR), Lin, Guo2,3 (AUTHOR), Deng, Min4 (AUTHOR), Xue, Lulin5 (AUTHOR), Li, Weiwei5 (AUTHOR), Shin, Hyeyum Hailey5 (AUTHOR), Zhang, Jun A.2,3 (AUTHOR), Guo, Hanqing6 (AUTHOR), Wang, Zhien1 (AUTHOR) zhien.wang@stonybrook.edu
Source: Atmospheric Chemistry & Physics. 2026, Vol. 26 Issue 2, p1415-1434. 20p.
Database: Environment Complete
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Description
ISSN:16807316
DOI:10.5194/acp-26-1415-2026