A simple model of global aerosol indirect effects. Issue 12 (28th June 2013)

• Record Type: Journal Article
• Authors: Ghan, Steven J.; Smith, Steven J.; Wang, Minghuai; Zhang, Kai; Pringle, Kirsty; Carslaw, Kenneth; Pierce, Jeffrey; Bauer, Susanne; Adams, Peter
• Is Part Of: Journal of geophysical research. Volume 118:Issue 12(2013:Dec.)
• Page Start: 6688
• Page End: 6707
• Publication Date: 2013-06-28
• Subjects: aerosol -- cloud -- interactions -- indirect -- climate; Atmospheric physics -- Periodicals; Geophysics -- Periodicals; 551.5
• DOI: 10.1002/jgrd.50567
• Languages: English
• ISSNs: 2169-897X

Abstract

Abstract : [1] Most estimates of the global mean indirect effect of anthropogenic aerosol on the Earth's energy balance are from simulations by global models of the aerosol lifecycle coupled with global models of clouds and the hydrologic cycle. Extremely simple models have been developed for integrated assessment models, but lack the flexibility to distinguish between primary and secondary sources of aerosol. Here a simple but more physically based model expresses the aerosol indirect effect (AIE) using analytic representations of cloud and aerosol distributions and processes. Although the simple model is able to produce estimates of AIEs that are comparable to those from some global aerosol models using the same global mean aerosol properties, the estimates by the simple model are sensitive to preindustrial cloud condensation nuclei concentration, preindustrial accumulation mode radius, width of the accumulation mode, size of primary particles, cloud thickness, primary and secondary anthropogenic emissions, the fraction of the secondary anthropogenic emissions that accumulates on the coarse mode, the fraction of the secondary mass that forms new particles, and the sensitivity of liquid water path to droplet number concentration. Estimates of present‐day AIEs as low as −5 W m −2 and as high as −0.3 W m −2 are obtained for plausible sets of parameter values. Estimates are surprisingly linear in emissions. The estimates depend on parameter values in ways that are consistent with results from detailed global aerosol‐climate simulation models, which adds to understanding of the dependence on AIE uncertainty on uncertainty in parameter values. Key Points: A simple physically‐based model represents aerosol indirect effects The model estimates depend on parameters in ways like detailed global models The aerosol indirect effect is surprisingly linear in emissions