Improving evapotranspiration estimation by integrating process-based biophysical variables into a deep learning approach

Study Region: 103 FLUXNET2015 flux towers distributed across diverse climatic and ecological regions. Study Focus: Accurate estimation of evapotranspiration (ET) is critical for understanding regional ecohydrological processes. Physically based models such as the Penman-Monteith-Leuning (PML) model...

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Hlavní autoři:	Mingming Xie, Jianyun Zhang, Zhenxin Bao, Linus Zhang, Zheng Duan, Guoqing Wang, Cuishan Liu, Feifei Yuan, Xiaoxiang Guan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2026-02-01
Edice:	Journal of Hydrology: Regional Studies
Témata:	Evapotranspiration estimation Deep learning Long short-term memory Penman-monteith-leuning Hybrid model
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2214581826000121
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