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DOI | 10.1038/s41558-018-0207-9 |
Partitioning global land evapotranspiration using CMIP5 models constrained by observations | |
Lian, Xu; Piao, Shilong; Huntingford, Chris; Li, Yue; Zeng, Zhenzhong; Wang, Xuhui; Ciais, Philippe; McVicar, Tim R.; Peng, Shushi; Ottle, Catherine; Yang, Hui; Yang, Yuting; Zhang, Yongqiang; Wang, Tao | |
通讯作者 | Piao, SL (通讯作者) |
发表日期 | 2018 |
ISSN | 1758-678X |
EISSN | 1758-6798 |
起始页码 | 640 |
结束页码 | + |
卷号 | 8期号:7 |
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. |
关键词 | CLIMATE IMPACTSWATERTRANSPIRATIONCARBONPLANTVEGETATIONFORESTEVAPORATIONRADIATIONTRENDS |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Environmental Studies ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000440200100026 |
来源期刊 | NATURE CLIMATE CHANGE |
来源机构 | 中国科学院青藏高原研究所 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/259366 |
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]. 中国科学院青藏高原研究所,2018,8(7). |
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). |
MLA | Lian, Xu,et al."Partitioning global land evapotranspiration using CMIP5 models constrained by observations".NATURE CLIMATE CHANGE 8.7(2018). |
条目包含的文件 | 条目无相关文件。 |
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