Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/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 |
ISSN | 1758-678X |
EISSN | 1758-6798 |
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-+. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论