globalchange  > 气候减缓与适应
DOI: 10.1175/JCLI-D-16-0177.1
Scopus记录号: 2-s2.0-85047071267
论文题名:
Evaluating global land surface models in CMIP5: Analysis of ecosystem water- and light-use efficiencies and rainfall partitioning
作者: Li L.; Wang Y.; Arora V.K.; Eamus D.; Shi H.; Li J.; Cheng L.; Cleverly J.; Hajima T.; Ji D.; Jones C.; Kawamiya T.; Li W.; Tjiputra J.; Wiltshire A.; Zhang L.; Yu Q.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期:8
起始页码: 2995
结束页码: 3008
语种: 英语
英文关键词: Ecological models ; Hydrologic models ; Land surface model ; Model comparison ; Model evaluation/performance
Scopus关键词: Carbon ; Climate models ; Curve fitting ; Land use ; Runoff ; Soil moisture ; Surface measurement ; Water supply ; Ecological models ; Hydrologic models ; Land surface modeling ; Model comparison ; Model evaluation/performance ; Ecosystems ; algorithm ; carbon cycle ; CMIP ; ecological modeling ; evapotranspiration ; hydrological modeling ; land surface ; light use efficiency ; partitioning ; performance assessment ; rainfall ; runoff ; water use efficiency
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. © 2018 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111586
Appears in Collections:气候减缓与适应

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作者单位: Jiangsu Centre for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing, China; School of Life Sciences, University of Technology Sydney, Sydney, NSW, Australia; CSIRO Oceans and Atmosphere, Aspendale, VIC, Australia; South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China; Canadian Centre for Climate Modelling and Analysis, Environment Canada, Victoria, BC, Canada; State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University, Beijing, China; CSIRO Land and Water, Canberra, ACT, Australia; Japan Agency for Marine-Earth Science and Technology, Yokohama, Japan; Land-Atmosphere Interaction Research Group, Beijing Normal University, Beijing, China; Met Office Hadley Centre, Exeter, United Kingdom; Beijing Climate Center, China Meteorological Administration, Beijing, China; Bjerknes Centre for Climate Research, Uni Research Climate, Bergen, Norway

Recommended Citation:
Li L.,Wang Y.,Arora V.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,2018-01-01,31(8)
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