Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/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
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
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 |
推荐引用方式 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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