Quantifying sources of inter‐model diversity in the cloud albedo effect

There is a large diversity in simulated aerosol forcing among models that participated in the fifth Coupled Model Intercomparison Project, particularly related to aerosol interactions with clouds. Here we use the reported model data and fitted aerosol-cloud relations to separate the main sources of inter-model diversity in the magnitude of the cloud albedo effect. There is a large diversity in the global load and spatial distribution of sulfate aerosol, as well as in global mean cloud top effective radius. The use of different parameterizations of aerosol-cloud interactions makes the largest contribution to diversity in modeled radiative forcing (−39%, +48% about the mean estimate). Uncertainty in preindustrial sulfate load also makes a substantial contribution (−15%, +61% about the mean estimate), with smaller contributions from inter-model differences in the historical change in sulfate load and in mean cloud fraction.

[1]  Olivier Boucher,et al.  The sulfate‐CCN‐cloud albedo effect , 1995 .

[2]  S. Twomey,et al.  Determining the Susceptibility of Cloud Albedo to Changes in Droplet Concentration with the Advanced Very High Resolution Radiometer , 1994 .

[3]  The CSIRO-QCCCE contribution to CMIP5 using the CSIRO Mk3.6 climate model , 2011 .

[4]  J. Houghton,et al.  Climate Change 2013 - The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change , 2014 .

[5]  L. Lee,et al.  Occurrence of pristine aerosol environments on a polluted planet , 2014, Proceedings of the National Academy of Sciences.

[6]  J. Lamarque,et al.  Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data , 2009 .

[7]  Ivar A. Seierstad,et al.  The Norwegian Earth System Model, NorESM1-M – Part 2: Climate response and scenario projections , 2012 .

[8]  K. Taylor,et al.  Quantifying components of aerosol‐cloud‐radiation interactions in climate models , 2014 .

[9]  Jeffrey T. Kiehl,et al.  Twentieth century climate model response and climate sensitivity , 2007 .

[10]  Johannes Quaas,et al.  Total aerosol effect: radiative forcing or radiative flux perturbation? , 2009 .

[11]  Yan Feng,et al.  Uncertainties in global aerosol simulations: Assessment using three meteorological data sets , 2007 .

[12]  N. Dunstone,et al.  The influence of anthropogenic aerosol on multi-decadal variations of historical global climate , 2013 .

[13]  G. Mann,et al.  Large contribution of natural aerosols to uncertainty in indirect forcing , 2013, Nature.

[14]  Harshvardhan Aerosol-climate interactions , 1993 .

[15]  Jean-Christophe Golaz,et al.  The roles of aerosol direct and indirect effects in past and future climate change , 2013 .

[16]  T. Andrews,et al.  Evaluating adjusted forcing and model spread for historical and future scenarios in the CMIP5 generation of climate models , 2013 .

[17]  T. L. Wolfe,et al.  An assessment of the impact of pollution on global cloud albedo , 1984 .

[18]  Menner A. Tatang,et al.  Uncertainty analysis of indirect radiative forcing by anthropogenic sulfate aerosols , 1997 .

[19]  Johannes Quaas,et al.  Model intercomparison of indirect aerosol effects , 2006 .

[20]  S. Jeffrey,et al.  Aerosol- and greenhouse gas-induced changes in summer rainfall and circulation in the Australasian region: a study using single-forcing climate simulations , 2012 .

[21]  C. Jones,et al.  Development and evaluation of an Earth-System model - HadGEM2 , 2011 .

[22]  S. Bony,et al.  Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 , 2013, Climate Dynamics.

[23]  M. Chin,et al.  Radiative forcing in the ACCMIP historical and future climate simulations , 2013 .

[24]  U. Lohmann,et al.  What governs the spread in shortwave forcings in the transient IPCC AR4 models? , 2009 .

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

[26]  C. Jones,et al.  Interactive comment on “ Development and evaluation of an Earth-system model – HadGEM 2 ” , 2011 .

[27]  Andrew S. Jones,et al.  Indirect sulphate aerosol forcing in a climate model with an interactive sulphur cycle , 2001 .

[28]  P. J. Rasch,et al.  Radiative forcing due to sulfate aerosols from simulations with the National Center for Atmospheric Research Community Climate Model, Version 3 , 2000 .

[29]  Michael Schulz,et al.  Aerosol–climate interactions in the Norwegian Earth System Model – NorESM1-M , 2012 .