A comparison of large-scale atmospheric sulphate aerosol models (COSAM):: overview and highlights

被引:90
作者
Barrie, LA
Yi, Y
Leaitch, WR
Lohmann, U
Kasibhatla, P
Roelofs, GJ
Wilson, J
McGovern, F
Benkovitz, C
Mélières, MA
Law, K
Prospero, J
Kritz, M
Bergmann, D
Bridgeman, C
Chin, M
Christensen, J
Easter, R
Feichter, J
Land, C
Jeuken, A
Kjellström, E
Koch, D
Rasch, P
机构
[1] Pacific NW Natl Lab, Fundamental Sci Div, Richland, WA 99352 USA
[2] E Giant Sci & Technol Inc, Toronto, ON M2J 4N3, Canada
[3] Environm Canada, Climate & Atmospher Sci Directorate, Toronto, ON M3H 5T4, Canada
[4] Dalhousie Univ, Dept Phys, Atmospher Sci Program, Halifax, NS B3H 3J5, Canada
[5] Duke Univ, Nicholas Sch Environm, Durham, NC USA
[6] Univ Utrecht, IMAU, Utrecht, Netherlands
[7] European Commiss Environm Inst, Ispra, Italy
[8] Univ Coll Dublin, Dept Expt Phys, Dublin 2, Ireland
[9] Brookhaven Natl Lab, Dept Environm Sci, Upton, NY 11973 USA
[10] Lab Glaciol & Geophys Environm, Grenoble, France
[11] Univ Cambridge, Dept Chem, Ctr Atmospher Sci, Cambridge CB2 1EW, England
[12] Univ Miami, Miami, FL 33152 USA
[13] SUNY Albany, Atmospher Sci Res Ctr, Albany, NY 12222 USA
[14] Lawrence Livermore Natl Lab, Div Atmospher Sci, Livermore, CA USA
[15] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[16] Natl Environm Res Inst, Roskilde, Denmark
[17] Max Planck Inst Meteorol, Hamburg, Germany
[18] Royal Netherlands Meteorol Inst, KNMI, NL-3730 AE De Bilt, Netherlands
[19] Univ Stockholm, Dept Meteorol, S-10691 Stockholm, Sweden
[20] Goddard Inst Space Studies, Dept Geol & Geophys, New Haven, CT USA
[21] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
来源
TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY | 2001年 / 53卷 / 05期
关键词
D O I
10.1034/j.1600-0889.2001.530507.x
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The comparison of large-scale sulphate aerosol models study (COSAM) compared the performance of atmospheric models with each other and observations. It involved: (i) design of a standard model experiment for the world wide web, (ii) 10 model simulations of the cycles of sulphur and Rn-222 Pb-210 conforming to the experimental design, (iii) assemblage of the best available observations of atmospheric SO4=, SO2 and MSA and (iv) a workshop in Halifax, Canada to analyze model performance and future model development needs. The analysis presented in this paper and two companion papers by Roelofs, and Lohmann and co-workers examines the variance between models and observations. discusses the sources of that variance and suggests ways to improve models. Variations between models in the export of SOx from Europe or North America are not sufficient to explain an order of magnitude variation in spatial distributions of SOx downwind in the northern hemisphere. On average, models predicted surface level seasonal mean SO4= aerosol mixing ratios better (most within 20%) than SO2 mixing ratios (over-prediction by factors of 2 or more). Results suggest that vertical mixing from the planetary boundary layer into the free troposphere in source regions is a major source of uncertainty in predicting the global distribution of SO aerosols in climate models today. For improvement. it is essential that globally coordinated research efforts continue to address emissions of all atmospheric species that affect the distribution and optical properties of ambient aerosols in models and that a global network of observations be established that will ultimately produce a world aerosol chemistry climatology.
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收藏
页码:615 / 645
页数:31
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