Assessment of actual evapotranspiration variability over global land derived from seven reanalysis datasets

被引:11
|
作者
Feng, Taichen [1 ]
Su, Tao [2 ]
Zhi, Rong [3 ]
Tu, Gang [4 ]
Ji, Fei [1 ]
机构
[1] Lanzhou Univ, Coll Atmospher Sci, Lanzhou, Gansu, Peoples R China
[2] Yangzhou Univ, Coll Phys Sci & Technol, 180 Siwangting Rd, Yangzhou 225009, Jiangsu, Peoples R China
[3] China Meteorol Adm, Lab Climate Studies, Natl Climate Ctr, Beijing, Peoples R China
[4] Jilin Inst Meteorol Sci, Lab Middle High Latitude Circulat & East Asian Mo, Changchun, Jilin, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
actual evapotranspiration; global warming; potential evapotranspiration; reanalysis; PAN EVAPORATION TRENDS; NCEP-NCAR; CLIMATE-CHANGE; WATER; ENERGY; CYCLE; PRECIPITATION; PERFORMANCE; FLUXES; CHINA;
D O I
10.1002/joc.5992
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
With the motivation to identify whether global warming would lead to an increase in the rate of actual evapotranspiration (AE) over land, an assessment is made of AE variability from an ensemble of seven reanalyses (NCEP-NCAR, NCEP-DOE, MERRA, MERRA V2, ERA-Interim, JRA-55, and CFSR). By subdividing global land into nine climatic regions using the aridity index (AI), we examine the variability and long-term trend of regional AE and various related factors. Results indicate that AE shows a significant increasing trend during 1979-2015 in the humid, wet, and arctic regions. Overall, three main parameters, namely, precipitation, surface net solar radiation, and wet-day frequency, strongly influence the temporal variations of AE over most regions. The possible causes of trends in AE are examined in view of the linear trends of the related meteorological variables. Accordingly, increasing potential evapotranspiration and increasing vapour pressure are the main contributors to increasing AE in humid regions. Increasing temperature is the main contributor to increasing AE in wet regions. Both increasing energy supply and water supply on AE largely explain the significant increasing trend of AE in arctic regions. In view of data availability, a correlation analysis was conducted between AE in individual reanalyses and the results from the Mezentsev-Choudhury-Yang equation and the ensemble of the seven reanalyses. On average, NCEP-NCAR is the worst among the seven reanalysis datasets in revealing temporal characteristics of AE.
引用
收藏
页码:2919 / 2932
页数:14
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