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Volume 13, issue 6 | Copyright

Special issue: The Atmospheric Chemistry and Climate Model Intercomparison...

Atmos. Chem. Phys., 13, 2939-2974, 2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 15 Mar 2013

Research article | 15 Mar 2013

Radiative forcing in the ACCMIP historical and future climate simulations

D. T. Shindell1, J.-F. Lamarque2, M. Schulz3, M. Flanner4, C. Jiao4, M. Chin5, P. J. Young6,*, Y. H. Lee1, L. Rotstayn7, N. Mahowald8, G. Milly1, G. Faluvegi1, Y. Balkanski9, W. J. Collins10,**, A. J. Conley2, S. Dalsoren11, R. Easter12, S. Ghan12, L. Horowitz13, X. Liu12, G. Myhre11, T. Nagashima14, V. Naik15, S. T. Rumbold10, R. Skeie11, K. Sudo16, S. Szopa9, T. Takemura17, A. Voulgarakis1,18, J.-H. Yoon12, and F. Lo8 D. T. Shindell et al.
  • 1NASA Goddard Institute for Space Studies and Columbia Earth Institute, New York, NY, USA
  • 2National Center for Atmospheric Research (NCAR), Boulder, CO, USA
  • 3Meteorologisk Institutt, Oslo, Norway
  • 4Department of Atmospheric, Oceanic and Space Sciences, University of Michigan, Ann Arbor, MI, USA
  • 5NASA Goddard Space Flight Center, Greenbelt, MD, USA
  • 6Cooperative Institute for Research in Environmental Sciences, University of Colorado and NOAA Earth System Research Laboratory, Boulder, Colorado, USA
  • 7Centre for Australian Weather and Climate Research, CSIRO Marine and Atmospheric Research, Aspendale, Vic, Australia
  • 8Department of Earth and Atmospheric Sciences, Cornell University, Ithaca, NY, USA
  • 9Laboratoire des Sciences du Climat et de l'Environnement LSCE-IPSL, Gif-sur-Yvette, France
  • 10Met Office, Hadley Centre, Exeter, UK
  • 11Center for International Climate and Environmental Research Oslo (CICERO), Oslo, Norway
  • 12Pacific Northwest National Laboratory, Richland, WA, USA
  • 13NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
  • 14National Institute for Environmental Studies, Tsukuba-shi, Ibaraki, Japan
  • 15UCAR/NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA
  • 16Department of Earth and Environmental Science, Graduate School of Environmental Studies, Nagoya University, Nagoya, Aichi, Japan
  • 17Research Institute for Applied Mechanics, Kyushu University, Fukuoka, Japan
  • 18Department of Physics, Imperial College London, London, UK
  • *now at: Lancaster Environment Centre, Lancaster University, Lancaster, UK
  • **now at: Department of Meteorology, University of Reading, Reading, UK

Abstract. 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 W m−2; −0.06 to −0.49 W m−2. Screening based on model skill in capturing observed AOD yields a best estimate of −0.42 W m−2; −0.33 to −0.50 W m−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 W m−2; −0.71 to −1.44 W m−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 W m−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.

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