Aerosol Direct, Indirect, Semidirect, and Surface Albedo Effects from Sector Contributions Based on the IPCC AR5 Emissions for Preindustrial and Present-day Conditions

[1] The anthropogenic increase in aerosol concentrations since preindustrial times and its net cooling effect on the atmosphere is thought to mask some of the greenhouse gas-induced warming. Although the overall effect of aerosols on solar radiation and clouds is most certainly negative, some individual forcing agents and feedbacks have positive forcing effects. Recent studies have tried to identify some of those positive forcing agents and their individual emission sectors, with the hope that mitigation policies could be developed to target those emitters. Understanding the net effect of multisource emitting sectors and the involved cloud feedbacks is very challenging, and this paper will clarify forcing and feedback effects by separating direct, indirect, semidirect and surface albedo effects due to aerosols. To this end, we apply the Goddard Institute for Space Studies climate model including detailed aerosol microphysics to examine aerosol impacts on climate by isolating single emission sector contributions as given by the Coupled Model Intercomparison Project Phase 5 (CMIP5) emission data sets developed for Intergovernmental Panel on Climate Change (IPCC) AR5. For the modeled past 150 years, using the climate model and emissions from preindustrial times to present-day, the total global annual mean aerosol radiative forcing is −0.6 W/m2, with the largest contribution from the direct effect (−0.5 W/m2). Aerosol-induced changes on cloud cover often depends on cloud type and geographical region. The indirect (includes only the cloud albedo effect with −0.17 W/m2) and semidirect effects (−0.10 W/m2) can be isolated on a regional scale, and they often have opposing forcing effects, leading to overall small forcing effects on a global scale. Although the surface albedo effects from aerosols are small (0.016 W/m2), triggered feedbacks on top of the atmosphere (TOA) radiative forcing can be 10 times larger. Our results point out that each emission sector has varying impacts by geographical region. For example, the single sector most responsible for a net positive radiative forcing is the transportation sector in the United States, agricultural burning and transportation in Europe, and the domestic emission sector in Asia. These sectors are attractive mitigation targets.

[1]  Antony D. Clarke,et al.  Soot in the Arctic snowpack: a cause for perturbations in radiative transfer , 1985 .

[2]  D. Gregory,et al.  Parametrization of momentum transport by convection. II: Tests in single‐column and general circulation models , 1997 .

[3]  S. Ghan,et al.  A parameterization of aerosol activation: 2. Multiple aerosol types , 2000 .

[4]  D. Gregory Estimation of entrainment rate in simple models of convective clouds , 2001 .

[5]  U. Lohmann,et al.  A parameterization of cirrus cloud formation: Homogeneous freezing of supercooled aerosols , 2002 .

[6]  A. P. Siebesma,et al.  A Large Eddy Simulation Intercomparison Study of Shallow Cumulus Convection , 2003 .

[7]  J. Hansen,et al.  Soot climate forcing via snow and ice albedos. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[8]  D. Streets,et al.  A technology‐based global inventory of black and organic carbon emissions from combustion , 2004 .

[9]  Mark Z. Jacobson,et al.  Climate response of fossil fuel and biofuel soot, accounting for soot's feedback to snow and sea ice albedo and emissivity , 2004 .

[10]  Chien Wang,et al.  A Modeling Study on the Climate Impacts of Black Carbon Aerosols , 2002 .

[11]  J. Hansen,et al.  Efficacy of climate forcings , 2005 .

[12]  J. Hansen,et al.  Distant origins of Arctic black carbon: A Goddard Institute for Space Studies ModelE experiment , 2005 .

[13]  C. Long,et al.  From Dimming to Brightening: Decadal Changes in Solar Radiation at Earth's Surface , 2005, Science.

[14]  M. Yao,et al.  Cumulus Microphysics and Climate Sensitivity , 2005 .

[15]  V. Canuto,et al.  Present-Day Atmospheric Simulations Using GISS ModelE: Comparison to In Situ, Satellite, and Reanalysis Data , 2006 .

[16]  Philip J. Rasch,et al.  Present-day climate forcing and response from black carbon in snow , 2006 .

[17]  D. Streets,et al.  Climate simulations for 1880–2003 with GISS modelE , 2006, physics/0610109.

[18]  D. Koch,et al.  Air Pollution Radiative Forcing From Specific Emissions Sectors at 2030: Prototype for a New IPCC Bar Chart , 2007 .

[19]  Vincent R. Gray Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[20]  D. Koch,et al.  Global impacts of aerosols from particular source regions and sectors , 2007 .

[21]  Anthony D. Del Genio,et al.  Will moist convection be stronger in a warmer climate? , 2007 .

[22]  Thomas H. Painter,et al.  Springtime warming and reduced snow cover from carbonaceous particles , 2008 .

[23]  Andrew Gettelman,et al.  A new two-moment bulk stratiform cloud microphysics scheme in the Community Atmosphere Model, version 3 (CAM3). Part I: Description and numerical tests , 2008 .

[24]  R. Ruedy,et al.  MATRIX (Multiconfiguration Aerosol TRacker of mIXing state): an aerosol microphysical module for global atmospheric models , 2008 .

[25]  G. Schmidt,et al.  Distinguishing Aerosol Impacts on Climate over the Past Century , 2009 .

[26]  Daniel Orlikowski,et al.  Black carbon aerosols and the third polar ice cap , 2009 .

[27]  D. Koch,et al.  Black carbon absorption effects on cloud cover, review and synthesis , 2010 .

[28]  S. Bauer,et al.  Attribution of climate forcing to economic sectors , 2010, Proceedings of the National Academy of Sciences.

[29]  Mark D. Zelinka,et al.  Why is longwave cloud feedback positive , 2010 .

[30]  Cynthia A. Randles,et al.  Direct and semi-direct impacts of absorbing biomass burning aerosol on the climate of southern Africa: a Geophysical Fluid Dynamics Laboratory GCM sensitivity study , 2010 .

[31]  S. Sherwood,et al.  Aerosol‐cloud semi‐direct effect and land‐sea temperature contrast in a GCM , 2010 .

[32]  S. Ghan,et al.  Soot microphysical effects on liquid clouds, a multi-model investigation , 2010 .

[33]  J. Seinfeld,et al.  Will black carbon mitigation dampen aerosol indirect forcing? , 2010 .

[34]  David S. Lee,et al.  Historical (1850–2000) gridded anthropogenic and biomass burning emissions of reactive gases and aerosols: methodology and application , 2010 .

[35]  D. Koch,et al.  Black carbon semi-direct effects on cloud cover: review and synthesis , 2010 .

[36]  Mark Z. Jacobson,et al.  Short-term effects of controlling fossil-fuel soot, biofuel soot and gases, and methane on climate, Arctic ice, and air pollution health , 2010 .

[37]  S. Bauer,et al.  A global modeling study on carbonaceous aerosol microphysical characteristics and radiative effects , 2010 .

[38]  S. Sherwood,et al.  The impact of natural versus anthropogenic aerosols on atmospheric circulation in the Community Atmosphere Model , 2011 .

[39]  G. Schmidt,et al.  Coupled Aerosol-Chemistry-Climate Twentieth-Century Transient Model Investigation: Trends in Short-Lived Species and Climate Responses , 2011 .

[40]  Nadine Unger,et al.  Global climate impact of civil aviation for standard and desulfurized jet fuel , 2011 .