Improving terrestrial evapotranspiration estimation across China during 2000–2018 with machine learning methods

Title
Improving terrestrial evapotranspiration estimation across China during 2000–2018 with machine learning methods
Authors
Keywords
Evapotranspiration, Machine learning, process-based ET, ET integration, China, Gaussian process regression
Journal
JOURNAL OF HYDROLOGY
Volume 600, Issue -, Pages 126538
Publisher
Elsevier BV
Online
2021-06-06
DOI
10.1016/j.jhydrol.2021.126538

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