Recent decline in the global land evapotranspiration trend due to limited moisture supply

By Martin Jung, Markus Reichstein, Philippe Ciais, Sonia I. Seneviratne, Justin Sheffield, Michael L. Goulden, Gordon Bonan, Alessandro Cescatti, Jiquan Chen, Richard A. M. Jeu and 22 more. Nature, 2010

2,124 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/1e87a2ee2088769d195857a9ebc87bf6dd281cf0

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Citations in the corpus

Widespread crown condition decline, food web disruption, and amplified tree mortality with increased climate change-type drought (2011, background): “Widespread crown decline also might reduce the effects of forest evaporative cooling (34), thereby possibly contributing to the reported declining trend of global land evapotranspiration (37).”
A universal calibration function for determination of soil moisture with cosmic-ray neutrons (2012, background): “However, accurate and exhaustive soil moisture datasets in space and time are difficult to obtain (Robinson et al., 2008), hindering progress in fundamental understanding of the land–atmosphere coupling (Jung et al., 2010; Seneviratne et al., 2010).”
Improved allometric models to estimate the aboveground biomass of tropical trees (2014, methodology): “Also, we used the Climate Research Unit dataset value for ET instead of assuming a constant ET of 100 mm month 1, because ET shows strong patterns of geographical variation even in the tropics (Jung et al., 2010; Wang & Dickinson, 2012).”
Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, background): “The latent heat (λET) accompanying ET is particularly effective in cooling the land surface (Katul et al., 2012), thus critical in atmospheric processes and biogeochemical cycles (Teuling et al., 2010; Jung et al., 2010; Mu et al., 2011; Sheffield et al., 2012).”
Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification (2019, methodology): “Jung et al. (2010) compared the mean annual MTE model data with the mean annual E from catchment water‐balance data and obtained R2 = 0.92.”
Global gross primary productivity and water use efficiency changes under drought stress (2017, background): “Land evapotranspiration (ET), the sum of soil evaporation, canopy evaporation, and plant transpiration, is a central process in the climate system, and is also a nexus of the water, energy and carbon cycles (Jung et al 2010, Mu et al 2007).”
The FLUXCOM ensemble of global land-atmosphere energy fluxes (2018, methodology): “e data file. Ensemble estimates For the RS setup, we generate ensemble products at 0.0833° and 0.5° spatial resolution for each flux (LE, H, Rn) by pooling all the different runs per machine learning (9) method and energy balance correction variants (3, only for LE and H). This yields 27 ensemble me”
The Millennium Drought in southeast Australia (2001–2009): Natural and human causes and implications for water resources, ecosystems, economy, and society (2013, background): “4 [Kaplan et al., 1998] and Southern Oscillation Index (SOI)) ; IOD mode index and the classification of Ummenhofer et al. [2009]; Pacific decadal Oscillation (PDO) [Zhang et al., 1997]; SAM [Marshall, 2003; Visbeck, 2009]; global mean temperature (GMT); Hansen index); and the intensity and…”