globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-12-00592.1
Scopus记录号: 2-s2.0-84888024978
论文题名:
North American Climate in CMIP5 experiments. Part I: Evaluation of historical simulations of continental and regional climatology
作者: Sheffield J.; Barrett A.P.; Colle B.; Fernando D.N.; Fu R.; Geil K.L.; Hu Q.; Kinter J.; Kumar S.; Langenbrunner B.; Lombardo K.; Long L.N.; Maloney E.; Mariotti A.; Meyerson J.E.; Mo K.C.; Neelin J.D.; Nigam S.; Pan Z.; Ren T.; Ruiz-Barradas A.; Serra Y.L.; Seth A.; Thibeault J.M.; Stroeve J.C.; Yang Z.; Yin L.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期:23
起始页码: 9209
结束页码: 9245
语种: 英语
Scopus关键词: Coupled Model Intercomparison Project ; Coupled models ; Future projections ; Historical simulation ; Hydrological variables ; Multi-model ensemble ; North America ; Regional effects ; Atmospheric thermodynamics ; Climatology ; Computer simulation ; Sea ice ; Storms ; Climate models ; climate modeling ; climatology ; cyclone ; ensemble forecasting ; monsoon ; regional climate ; sea ice ; Great Plains ; United States
英文摘要: This is the first part of a three-part paper on North American climate in phase 5 of the Coupled Model Intercomparison Project (CMIP5) that evaluates the historical simulations of continental and regional climatology with a focus on a core set of 17 models. The authors evaluate the models for a set of basic surface climate and hydrological variables and their extremes for the continent. This is supplemented by evaluations for selected regional climate processes relevant to North American climate, including cool season western Atlantic cyclones, the North American monsoon, the U.S. Great Plains low-level jet, and Arctic sea ice. In general, the multimodel ensemble mean represents the observed spatial patterns of basic climate and hydrological variables but with large variability across models and regions in the magnitude and sign of errors. No single model stands out as being particularly better or worse across all analyses, although some models consistently outperform the others for certain variables across most regions and seasons and higher-resolution models tend to perform better for regional processes. The CMIP5 multimodel ensemble shows a slight improvement relative to CMIP3 models in representing basic climate variables, in terms of the mean and spread, although performance has decreased for some models. Improvements in CMIP5 model performance are noticeable for some regional climate processes analyzed, such as the timing of the North American monsoon. The results of this paper have implications for the robustness of future projections of climate and its associated impacts, which are examined in the third part of the paper. © 2013 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/51522
Appears in Collections:气候变化事实与影响

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作者单位: Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08540, United States; National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder, Boulder, CO, United States; School of Marine and Atmospheric Sciences, Stony Brook University, State University of New York, Stony Brook, NY, United States; Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, United States; University Corporation for Atmospheric Research, Boulder, CO, United States; Surface Water Resource Division, Texas Water Development Board, Austin, Austin, TX, United States; Department of Atmospheric Sciences, University of Arizona, Tucson, AZ, United States; School of Natural Resources, Department of Earth and Atmospheric Sciences, University of Nebraska-Lincoln, Lincoln, NB, United States; Center for Ocean-Land-Atmosphere Studies, George Mason University, Fairfax, VA, United States; Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States; Wyle Science, Technology and Engineering, NOAA/NWS/NCEP, Climate Prediction Center, College Park, MD, United States; Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; National Oceanic and Atmospheric Administration, Office of Oceanic and Atmospheric Research, Silver Spring, MD, United States; NOAA/NWS, NCEP, Climate Prediction Center, College Park, MD, United States; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, College Park, MD, United States; Saint Louis University, St. Louis, MO, United States; Department of Geography, University of Connecticut, Storrs, CT, United States

Recommended Citation:
Sheffield J.,Barrett A.P.,Colle B.,et al. North American Climate in CMIP5 experiments. Part I: Evaluation of historical simulations of continental and regional climatology[J]. Journal of Climate,2013-01-01,26(23)
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