Integrating Maximum Entropy Production Theory and Machine Learning to Improve Global Evapotranspiration Modeling

Abstract Accurate estimation of terrestrial evapotranspiration (ET) is vital for understanding global water and energy cycles. However, current global ET estimations are not well constrained. This study introduces an integrated framework combining the Maximum Entropy Production (MEP) theory with Ran...

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Podrobná bibliografie

Hlavní autoři:	Donghui Xu, Valeriy Ivanov, Vinh Ngoc Tran, Dongyu Feng, Gautam Bisht, Jingfeng Wang, L. Ruby Leung
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2026-05-01
Edice:	Water Resources Research
Témata:	evapotranspiration maximum entropy production machine learning integrated modeling framework
On-line přístup:	https://doi.org/10.1029/2025WR041772
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