2021
DOI: 10.1038/s41586-021-03503-5
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RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019

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Cited by 145 publications
(58 citation statements)
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“…Increasing surface temperatures lead to an increased allocation of terrestrial precipitation to evapotranspiration rather than to runoff [54], a phenomenon that is highly applicable to drought variability in the Asian drylands. We used the Penman-Monteith equation to integrate the effects of thermal and dynamic factors such as temperature, solar and infrared radiation, humidity, and wind speed changes on evapotranspiration [4,37].…”
Section: Why Ssp126 Drought Intensity Exceeds That Of Ssp245mentioning
confidence: 99%
“…Increasing surface temperatures lead to an increased allocation of terrestrial precipitation to evapotranspiration rather than to runoff [54], a phenomenon that is highly applicable to drought variability in the Asian drylands. We used the Penman-Monteith equation to integrate the effects of thermal and dynamic factors such as temperature, solar and infrared radiation, humidity, and wind speed changes on evapotranspiration [4,37].…”
Section: Why Ssp126 Drought Intensity Exceeds That Of Ssp245mentioning
confidence: 99%
“…Detection and attribution of ET changes are crucial to understanding the nature of changes in the global water cycle, which is found to intensify under global warming (Greve et al, 2014;Held & Soden, 2006;Pascolini-Campbell et al, 2021). Based on the eddy covariance observations and machine learning, Jung et al ( 2010) indicated an increasing ET over the globe during 1982-1998, but a decreasing trend during 1998-2008 owing to water supply limitations.…”
Section: Discussionmentioning
confidence: 99%
“…The efficient and innovative use of these datasets for understanding hydrological processes in various climatic and vegetation regimes under anthropogenic influence has become an important challenge, which offers a wide range of research opportunities at the same time [2,3]. This is particularly urgent for the hydrological research community at large who has relied on both spatially distributed and lumped hydrological models for hydrological simulations/predictions over the last several decades [4]. The demand for increasingly accurate water information spatially distributed at high resolution requires a deeper understanding of the underlying processes and more skillful predictions, at resolutions that do not commensurate with the traditional hydrological data.…”
Section: Introductionmentioning
confidence: 99%