Improved global evapotranspiration estimates using proportionality hypothesis-based water balance constraints

Fu, Jiawei; Wang, Weiguang; Shao, Quanxi; Xing, Wanqiu; Cao, Mingzhu; Jia, Wei; Chen, Zefeng; Nie, Wanshu

doi:10.1016/j.rse.2022.113140

Cited by 18 publications

(12 citation statements)

References 82 publications

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“…Moreover, the consistent increase in annual ET since 1982, as indicated by GLEAM, MPM-adj and MERRA2, is consistent with the conclusions of previous studies (T. Feng et al, 2018;J. Fu, Gong, et al, 2022;J. Fu, Wang, et al, 2022;Su et al, 2022;S.…”

Section: Discussionsupporting

confidence: 91%

“…The excellent performance of the GLEAM in this study aligns with previous findings (Bai & Liu, 2018; Khan et al., 2018; W. Zhu et al., 2022). Moreover, the consistent increase in annual ET since 1982, as indicated by GLEAM, MPM‐adj and MERRA2, is consistent with the conclusions of previous studies (T. Feng et al., 2018; J. Fu, Gong, et al., 2022; J. Fu, Wang, et al., 2022; X. Li et al., 2018; Su et al., 2022; S. Sun et al., 2022).…”

Section: Discussionsupporting

confidence: 89%

“…However, the water balance ET exhibited a weak and negligible increasing trend from 1997 to 2013 (N. Ma et al., 2019; Mao & Wang, 2017). The MOD16 product showed a significant increase at a rate of 5.37 mm yr −1 between 2000 and 2019 (J. Fu, Gong, et al., 2022; J. Fu, Wang, et al., 2022). The upward trend is attributed to various factors such as vegetation changes (F. Zhao et al., 2022), multiple environmental factors including temperature, precipitation, and sunshine duration (T. Feng et al., 2018), land use/cover changes (G. Li et al., 2017), and combinations of these factors (S. Li et al., 2022; X. Li et al., 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Cao et al, 2021;Dong & Dai, 2017;Elnashar et al, 2021;J. Fu, Gong, et al, 2022;J. Fu, Wang, et al, 2022;Long et al, 2014;L.…”

unclassified

“…The MOD16 product showed a significant increase at a rate of 5.37 mm yr −1 between 2000 and 2019 (J. Fu, Gong, et al, 2022;J. Fu, Wang, et al, 2022).…”

mentioning

confidence: 99%

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Terrestrial Evapotranspiration Over China From 1982 to 2020: Consistency of Multiple Data Sets and Impact of Input Data

Mao,

Bai,

et al. 2024

JGR Atmospheres

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Due to limited direct measurements, regional or global terrestrial evapotranspiration (ET) is generally derived from a combination of meteorological and satellite observations. Although the inhomogeneity of the observed climate data has been widely reported, its impact on the calculated ET has not been adequately quantified. This study aimed to calculate ET using the modified Penman‐Monteith (MPM) model with raw and homogenized meteorological data. Additionally, we compared the calculated ET with those estimates from variable methods (water balance, satellite‐based, and reanalysis) in China and its six major river basins from 1982 to 2020. During the overlapping period of 1997–2018, ET calculated from raw input data decreased slightly at −0.39 mm yr−2 (p = 0.64) in China, whereas homogenized ET showed a significant increasing trend of 0.93 mm yr−2 (p = 0.02), with a better agreement with water balance ET (1.93 mm yr−2, p = 0). Global Land Evaporation Amsterdam Model (GLEAM) and Modern‐Era Retrospective Analysis for Research and Applications, version 2 (MERRA2) could reproduce the increasing trends with 2.08 mm yr−2 (p = 0) and 2.59 mm yr−2 (p = 0). The intercomparison of input variables (solar radiation, relative humidity, wind speed, precipitation, and air temperature) among ET products revealed substantial differences, which can account for the discrepancies in ET estimates. Homogenized ET, GLEAM and MERRA2 exhibited significant increasing trends in China and most river basins from 1982 to 2020. Our findings underscore the importance of utilizing homogenized input data for more accurate ET estimation.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

“…Cao et al, 2021;Dong & Dai, 2017;Elnashar et al, 2021;J. Fu, Gong, et al, 2022;J. Fu, Wang, et al, 2022;Long et al, 2014;L.…”

unclassified

“…The MOD16 product showed a significant increase at a rate of 5.37 mm yr −1 between 2000 and 2019 (J. Fu, Gong, et al, 2022;J. Fu, Wang, et al, 2022).…”

mentioning

confidence: 99%

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