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Physics‐Constrained Machine Learning of Evapotranspiration

Geophysical Research Letters, 2019
Estimating ecosystem evapotranspiration (ET) is important to understanding the global water cycle and to study land‐atmosphere interactions. We developed a physics constrained machine learning (ML) model (hybrid model) to estimate latent heat flux (LE ...
W. Zhao   +8 more
semanticscholar   +1 more source

Evapotranspiration on a greening Earth

Nature Reviews Earth & Environment, 2023
Yuting Yang   +16 more
semanticscholar   +1 more source

Evapotranspiration frequently increases during droughts

Nature Climate Change, 2022
Meng Zhao, G. A, Yanlan Liu, A. Konings
semanticscholar   +1 more source

Evapotranspiration

Reviews of Geophysics, 1975
The principal goal of evapotranspiration (ET) research is to find methods for calculating the value of ET under any given conditions. Progress in the United States since 1970 has centered on understanding the water relations of plants, particularly the limitation of transpiration by variable stomatal aperture.
openaire   +1 more source

RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019

Nature, 2021
M. Pascolini‐Campbell   +3 more
semanticscholar   +1 more source

Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017

Remote Sensing of Environment, 2019
Yongqiang Zhang   +6 more
semanticscholar   +1 more source

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