Arid
DOI10.5194/acp-13-2939-2013
Radiative forcing in the ACCMIP historical and future climate simulations
Shindell, D. T.1,2; Lamarque, J. -F.3; Schulz, M.4; Flanner, M.5; Jiao, C.5; Chin, M.6; Young, P. J.7,8; Lee, Y. H.1,2; Rotstayn, L.9; Mahowald, N.10; Milly, G.1,2; Faluvegi, G.1,2; Balkanski, Y.11; Collins, W. J.12; Conley, A. J.3; Dalsoren, S.13; Easter, R.14; Ghan, S.14; Horowitz, L.15; Liu, X.14; Myhre, G.13; Nagashima, T.16; Naik, V.17; Rumbold, S. T.12; Skeie, R.13; Sudo, K.18; Szopa, S.11; Takemura, T.19; Voulgarakis, A.1,2,20; Yoon, J. -H.14; Lo, F.10
通讯作者Shindell, D. T.
来源期刊ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN1680-7316
EISSN1680-7324
出版年2013
卷号13期号:6页码:2939-2974
英文摘要

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) examined the short-lived drivers of climate change in current climate models. Here we evaluate the 10 ACCMIP models that included aerosols, 8 of which also participated in the Coupled Model Intercomparison Project phase 5 (CMIP5).


The models reproduce present-day total aerosol optical depth (AOD) relatively well, though many are biased low. Contributions from individual aerosol components are quite different, however, and most models underestimate east Asian AOD. The models capture most 1980-2000 AOD trends well, but underpredict increases over the Yellow/Eastern Sea. They strongly underestimate absorbing AOD in many regions.


We examine both the direct radiative forcing (RF) and the forcing including rapid adjustments (effective radiative forcing; ERF, including direct and indirect effects). The models’ all-sky 1850 to 2000 global mean annual average total aerosol RF is (mean; range) -0.26 Wm(-2); -0.06 to -0.49 Wm(-2). Screening based on model skill in capturing observed AOD yields a best estimate of -0.42 Wm(-2); -0.33 to -0.50 Wm(-2), including adjustment for missing aerosol components in some models. Many ACCMIP and CMIP5 models appear to produce substantially smaller aerosol RF than this best estimate. Climate feedbacks contribute substantially (35 to -58%) to modeled historical aerosol RF. The 1850 to 2000 aerosol ERF is -1.17 Wm(-2); -0.71 to -1.44 Wm(-2). Thus adjustments, including clouds, typically cause greater forcing than direct RF. Despite this, the multi-model spread relative to the mean is typically the same for ERF as it is for RF, or even smaller, over areas with substantial forcing. The largest 1850 to 2000 negative aerosol RF and ERF values are over and near Europe, south and east Asia and North America. ERF, however, is positive over the Sahara, the Karakoram, high Southern latitudes and especially the Arctic.


Global aerosol RF peaks in most models around 1980, declining thereafter with only weak sensitivity to the Representative Concentration Pathway (RCP). One model, however, projects approximately stable RF levels, while two show increasingly negative RF due to nitrate (not included in most models). Aerosol ERF, in contrast, becomes more negative during 1980 to 2000. During this period, increased Asian emissions appear to have a larger impact on aerosol ERF than European and North American decreases due to their being upwind of the large, relatively pristine Pacific Ocean. There is no clear relationship between historical aerosol ERF and climate sensitivity in the CMIP5 subset of ACCMIP models. In the ACCMIP/CMIP5 models, historical aerosol ERF of about -0.8 to -1.5 Wm(-2) is most consistent with observed historical warming. Aerosol ERF masks a large portion of greenhouse forcing during the late 20th and early 21st century at the global scale. Regionally, aerosol ERF is so large that net forcing is negative over most industrialized and biomass burning regions through 1980, but remains strongly negative only over east and southeast Asia by 2000. Net forcing is strongly positive by 1980 over most deserts, the Arctic, Australia, and most tropical oceans. Both the magnitude of and area covered by positive forcing expand steadily thereafter.


类型Article
语种英语
国家USA ; Norway ; Australia ; France ; England ; Japan
收录类别SCI-E
WOS记录号WOS:000316961000002
WOS关键词ATMOSPHERIC CHEMISTRY ; BLACK CARBON ; MODEL DESCRIPTION ; AEROSOL ; PREINDUSTRIAL ; SENSITIVITY ; DISTRIBUTIONS ; EMISSIONS ; RAINFALL ; IMPACT
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/175981
作者单位1.NASA, Goddard Inst Space Studies, New York, NY 10025 USA;
2.Columbia Earth Inst, New York, NY USA;
3.Natl Ctr Atmospher Res, Boulder, CO 80307 USA;
4.Inst Meteorol, Oslo, Norway;
5.Univ Michigan, Dept Atmospher Ocean & Space Sci, Ann Arbor, MI 48109 USA;
6.NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA;
7.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA;
8.NOAA, Earth Syst Res Lab, Boulder, CO USA;
9.CSIRO Marine & Atmospher Res, Ctr Australian Weather & Climate Res, Aspendale, Vic, Australia;
10.Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY USA;
11.IPSL, LSCE, Gif Sur Yvette, France;
12.Hadley Ctr, Met Off, Exeter, Devon, England;
13.CICERO, Oslo, Norway;
14.Pacific NW Natl Lab, Richland, WA 99352 USA;
15.NOAA, Geophys Fluid Dynam Lab, Princeton, NJ USA;
16.Natl Inst Environm Studies, Tsukuba, Ibaraki, Japan;
17.NOAA, UCAR, Geophys Fluid Dynam Lab, Princeton, NJ USA;
18.Nagoya Univ, Grad Sch Environm Studies, Dept Earth & Environm Sci, Nagoya, Aichi 4648601, Japan;
19.Kyushu Univ, Appl Mech Res Inst, Fukuoka 8168580, Japan;
20.Univ London Imperial Coll Sci Technol & Med, Dept Phys, London, England
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Shindell, D. T.,Lamarque, J. -F.,Schulz, M.,et al. Radiative forcing in the ACCMIP historical and future climate simulations[J]. Commonwealth Scientific and Industrial Research Organisation,2013,13(6):2939-2974.
APA Shindell, D. T..,Lamarque, J. -F..,Schulz, M..,Flanner, M..,Jiao, C..,...&Lo, F..(2013).Radiative forcing in the ACCMIP historical and future climate simulations.ATMOSPHERIC CHEMISTRY AND PHYSICS,13(6),2939-2974.
MLA Shindell, D. T.,et al."Radiative forcing in the ACCMIP historical and future climate simulations".ATMOSPHERIC CHEMISTRY AND PHYSICS 13.6(2013):2939-2974.
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