2021
DOI: 10.1016/j.jhydrol.2021.126037
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Long-term changes in evapotranspiration over China and attribution to climatic drivers during 1980–2010

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Cited by 48 publications
(30 citation statements)
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“…Apart from long-term changes observed globally, the strongly regional and temporal differentiation of ET trends are evidenced, as proven for central Europe and central North America [11], and for the north-eastern United States [12]. For the period 1980-2010, largescale increases in ET were observed in south-eastern China, while decreases in ET occurred over the north-east [13]. Other studies conducted over the 71-year period from 1948 to 2018 confirmed that ET exhibited an increasing trend over almost 90% of the territory of China [14].…”
Section: Introductionmentioning
confidence: 89%
“…Apart from long-term changes observed globally, the strongly regional and temporal differentiation of ET trends are evidenced, as proven for central Europe and central North America [11], and for the north-eastern United States [12]. For the period 1980-2010, largescale increases in ET were observed in south-eastern China, while decreases in ET occurred over the north-east [13]. Other studies conducted over the 71-year period from 1948 to 2018 confirmed that ET exhibited an increasing trend over almost 90% of the territory of China [14].…”
Section: Introductionmentioning
confidence: 89%
“…According to the findings revealed by previous studies, the regional ET is driven essentially by climatic variables (Gao et al 2007;Cui et al 2020;Xie et al 2021). For example, Li et al (2021aLi et al ( , 2021b indicated that precipitation was the most important factor controlling ET changes over the entire water-limited regions in China. Soni & Syed (2021) indicated that precipitation was responsible for more than 65% of the ET changes observed in the Ganga River basins based on a Hierarchical Partitioning Analysis (HPA).…”
Section: Partial Least Squares Regression Modelmentioning
confidence: 97%
“…Trend simulated by the PenPan-D20 model in this study Trend reported in previous studies 1994-2014 1.4 mm/a/a 5.1 mm/a/a 4.3 mm/a/a (T. Wang, Zhang, et al, 2017) 5.2 mm/a/a (K. 1992-2007 7.7 mm/a/a 11.7 mm/a/a 10.1 mm/a/a (K. analysis that considers RH (or D) rather than q will lead to an overestimation of the attribution of humidity to pan evaporation trend and an underestimation of T. Furthermore, previous studies attributed changes in evaporation (or runoff) into temperature, D (or RH), and other climatic variables, based on the climate elasticity method (Huang et al, 2016;B. Li et al, 2017;S. Li et al, 2021;Wu et al, 2021;H.…”
Section: Attribution Analysis Of Pan Evaporation Changementioning
confidence: 99%