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Partitioning global land evapotranspiration using CMIP5 models constrained by observations
Lian, X (Lian, Xu)1; Piao, SL (Piao, Shilong)1,2,3; Huntingford, C (Huntingford, Chris)4; Li, Y (Li, Yue)1; Zeng, ZZ (Zeng, Zhenzhong)1; Wang, XH (Wang, Xuhui)1; Ciais, P (Ciais, Philippe)5; McVicar, TR (McVicar, Tim R.)6,7; Peng, SS (Peng, Shushi)1; Ottle, C (Ottle, Catherine)5; Yang, H (Yang, Hui)1; Yang, YT (Yang, Yuting)8; Zhang, YQ (Zhang, Yongqiang)6; Wang, T (Wang, Tao)2,3
Source PublicationNATURE CLIMATE CHANGE
2018-07-01
Volume8Issue:7Pages:640-646
DOI10.1038/s41558-018-0207-9
Abstract

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.

WOS IDWOS:000440200100026
Language英语
Indexed BySCIE
KeywordTerrestrial Water Fluxes Plant Rooting Depth Climate Impacts Transpiration Carbon Vegetation Forest Sensitivity Evaporation Radiation
WOS Research AreaEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS SubjectEnvironmental Sciences ; Environmental Studies ; Meteorology & Atmospheric Sciences
Cooperation Status国际
ISSN1758-678X
Department高寒生态重点实验室
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:15[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.itpcas.ac.cn/handle/131C11/8607
Collection图书馆
Affiliation1.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.
Recommended Citation
GB/T 7714
Lian, X ,Piao, SL ,Huntingford, C ,et al. Partitioning global land evapotranspiration using CMIP5 models constrained by observations[J]. NATURE CLIMATE CHANGE,2018,8(7):640-646.
APA Lian, X .,Piao, SL .,Huntingford, C .,Li, Y .,Zeng, ZZ .,...&Wang, T .(2018).Partitioning global land evapotranspiration using CMIP5 models constrained by observations.NATURE CLIMATE CHANGE,8(7),640-646.
MLA Lian, X ,et al."Partitioning global land evapotranspiration using CMIP5 models constrained by observations".NATURE CLIMATE CHANGE 8.7(2018):640-646.
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