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DOI10.1175/JCLI-D-16-0177.1
Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning
Li, Longhui1,2; Wang, Yingping3,4; Arora, Vivek K.5; Eamus, Derek2; Shi, Hao2; Li, Jing6,7; Cheng, Lei8; Cleverly, James2; Hajima, T.9; Ji, Duoying10; Jones, C.11; Kawamiya, M.9; Li, Weiping12; Tjiputra, J.13; Wiltshire, A.11; Zhang, Lu8; Yu, Qiang2
2018-04-01
发表期刊JOURNAL OF CLIMATE
ISSN0894-8755
EISSN1520-0442
出版年2018
卷号31期号:8页码:2995-3008
文章类型Article
语种英语
国家Peoples R China; Australia; Canada; Japan; England; Norway
英文摘要

Water and carbon fluxes simulated by 12 Earth system models (ESMs) that participated in phase 5 of the Coupled Model Intercomparison Project (CMIP5) over several recent decades were evaluated using three functional constraints that are derived from both model simulations, or four global datasets, and 736 site-year measurements. Three functional constraints are ecosystem water-use efficiency (WUE), light-use efficiency (LUE), and the partitioning of precipitation P into evapotranspiration (ET) and runoff based on the Budyko framework. Although values of these three constraints varied significantly with time scale and should be quite conservative if being averaged over multiple decades, the results showed that both WUE and LUE simulated by the ensemble mean of 12 ESMs were generally lower than the site measurements. Simulations by the ESMs were generally consistent with the broad pattern of energy-controlled ET under wet conditions and soil water-controlled ET under dry conditions, as described by the Budyko framework. However, the value of the parameter in the Budyko framework , obtained from fitting the Budyko curve to the ensemble model simulation (1.74), was larger than the best-fit value of to the observed data (1.28). Globally, the ensemble mean of multiple models, although performing better than any individual model simulations, still underestimated the observed WUE and LUE, and overestimated the ratio of ET to P, as a result of overestimation in ET and underestimation in gross primary production (GPP). The results suggest that future model development should focus on improving the algorithms of the partitioning of precipitation into ecosystem ET and runoff, and the coupling of water and carbon cycles for different land-use types.


英文关键词Ecological models Hydrologic models Land surface model Model comparison Model evaluation performance
领域气候变化
收录类别SCI-E
WOS记录号WOS:000428694000002
WOS关键词GROSS PRIMARY PRODUCTION ; EARTH SYSTEM MODELS ; EDDY COVARIANCE ; EMERGENT CONSTRAINTS ; STOMATAL CONDUCTANCE ; PRIMARY PRODUCTIVITY ; BUDYKO FRAMEWORK ; FLUXNET SITES ; CARBON ; CLIMATE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向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/20045
专题气候变化
作者单位1.Nanjing Normal Univ, Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China;
2.Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia;
3.CSIRO Oceans & Atmosphere, Aspendale, Vic, Australia;
4.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China;
5.Environm Canada, Canadian Ctr Climate Modelling & Anal, Victoria, BC, Canada;
6.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China;
7.Beijing Normal Univ, Beijing, Peoples R China;
8.CSIRO Land & Water, Canberra, ACT, Australia;
9.Japan Agcy Marine Earth Sci & Technol, Yokohama, Kanagawa, Japan;
10.Beijing Normal Univ, Land Atmosphere Interact Res Grp, Beijing, Peoples R China;
11.Met Off Hadley Ctr, Exeter, Devon, England;
12.China Meteorol Adm, Beijing Climate Ctr, Beijing, Peoples R China;
13.Uni Res Climate, Bjerknes Ctr Climate Res, Bergen, Norway
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GB/T 7714
Li, Longhui,Wang, Yingping,Arora, Vivek K.,et al. Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning[J]. JOURNAL OF CLIMATE,2018,31(8):2995-3008.
APA Li, Longhui.,Wang, Yingping.,Arora, Vivek K..,Eamus, Derek.,Shi, Hao.,...&Yu, Qiang.(2018).Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning.JOURNAL OF CLIMATE,31(8),2995-3008.
MLA Li, Longhui,et al."Evaluating Global Land Surface Models in CMIP5: Analysis of Ecosystem Water- and Light-Use Efficiencies and Rainfall Partitioning".JOURNAL OF CLIMATE 31.8(2018):2995-3008.
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