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

Remote Sensing of Environment, 2019
Accurate quantification of terrestrial evapotranspiration (ET) is essential to understand the Earth's energy and water budgets under climate change. However, despite water and carbon cycle coupling, there are few diagnostic global evapotranspiration ...
Yongqiang Zhang   +6 more
semanticscholar   +1 more source

Assessing the Impacts of Vegetation Greenness Change on Evapotranspiration and Water Yield in China

Water Resources Research, 2020
Vegetation plays an important role in regulating terrestrial water and energy fluxes. Recent research reported that China is the largest contributor to the global net increase in green foliage.
P. Bai   +3 more
semanticscholar   +1 more source

Evapotranspiration evaluation models based on machine learning algorithms—A comparative study

Agricultural Water Management, 2019
The constant need to increase agricultural production, together with the more and more frequent drought events in many areas of the world, requires a more careful assessment of irrigation needs and, therefore, a more accurate estimation of actual ...
F. Granata
semanticscholar   +1 more source

Drought monitoring and analysis: Standardised Precipitation Evapotranspiration Index (SPEI) and Standardised Precipitation Index (SPI)

Physics and Chemistry of the Earth, Parts A/B/C, 2018
Although rainfall is a major indicator of the availability of water, temperature is also an important factor that can influence the availability of water as it controls the rates of evapotranspiration.
S. Tirivarombo   +2 more
semanticscholar   +1 more source

Evapotranspiration on a greening Earth

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

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 frequently increases during droughts

Nature Climate Change, 2022
Meng Zhao, G. A, Yanlan Liu, A. Konings
semanticscholar   +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RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019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

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