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DOI10.1038/s41558-018-0207-9
Partitioning global land evapotranspiration using CMIP5 models constrained by observations
Lian, Xu1; Piao, Shilong1,2,3; Huntingford, Chris4; Li, Yue1; Zeng, Zhenzhong1; Wang, Xuhui1; Ciais, Philippe5; McVicar, Tim R.6,7; Peng, Shushi1; Ottle, Catherine5; Yang, Hui1; Yang, Yuting8; Zhang, Yongqiang6; Wang, Tao2,3
2018-07-01
发表期刊NATURE CLIMATE CHANGE
ISSN1758-678X
EISSN1758-6798
出版年2018
卷号8期号:7页码:640-+
文章类型Article
语种英语
国家Peoples R China; England; France; Australia
英文摘要

The ratio of plant transpiration to total terrestrial evapotranspiration (T/ET) captures the role of vegetation in surface-atmosphere interactions. However, its magnitude remains highly uncertain at the global scale. Here we apply an emergent constraint approach that integrates CMIP5 Earth system models (ESMs) with 33 field T/ET measurements to re-estimate the global T/ET value. Our observational constraint strongly increases the original ESM estimates (0.41 +/- 0.11) and greatly alleviates intermodel discrepancy, which leads to a new global T/ET estimate of 0.62 +/- 0.06. For all the ESMs, the leaf area index is identified as the primary driver of spatial variations of T/ET, but to correct its bias generates a larger T/ET underestimation than the original ESM output. We present evidence that the ESM underestimation of T/ET is, instead, attributable to inaccurate representation of canopy light use, interception loss and root water uptake processes in the ESMs. These processes should be prioritized to reduce model uncertainties in the global hydrological cycle.


领域资源环境
收录类别SCI-E ; SSCI
WOS记录号WOS:000440200100026
WOS关键词TERRESTRIAL WATER FLUXES ; PLANT ROOTING DEPTH ; CLIMATE IMPACTS ; TRANSPIRATION ; CARBON ; VEGETATION ; FOREST ; SENSITIVITY ; EVAPORATION ; RADIATION
WOS类目Environmental Sciences ; Environmental Studies ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/34516
专题资源环境科学
作者单位1.Peking Univ, Coll Urban & Environm Sci, Sinofrench Inst Earth Syst Sci, Beijing, Peoples R China;
2.Chinese Acad Sci, Key Lab Alpine Ecol & Biodivers, Inst Tibetan Plateau Res, Beijing, Peoples R China;
3.Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China;
4.Ctr Ecol & Hydrol, Wallingford, Oxon, England;
5.CEA CNRS UVSQ, LSCE, Gif Sur Yvette, France;
6.CSIRO Land & Water, Canberra, ACT, Australia;
7.Australian Res Council, Ctr Excellence Climate Syst Sci, Sydney, NSW, Australia;
8.Tsinghua Univ, State Key Lab Hydrosci & Engn, Dept Hydraul Engn, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Lian, Xu,Piao, Shilong,Huntingford, Chris,et al. Partitioning global land evapotranspiration using CMIP5 models constrained by observations[J]. NATURE CLIMATE CHANGE,2018,8(7):640-+.
APA Lian, Xu.,Piao, Shilong.,Huntingford, Chris.,Li, Yue.,Zeng, Zhenzhong.,...&Wang, Tao.(2018).Partitioning global land evapotranspiration using CMIP5 models constrained by observations.NATURE CLIMATE CHANGE,8(7),640-+.
MLA Lian, Xu,et al."Partitioning global land evapotranspiration using CMIP5 models constrained by observations".NATURE CLIMATE CHANGE 8.7(2018):640-+.
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