title: Satellite methods underestimate indirect climate forcing by aerosols.
abstract: Satellite-based estimates of the aerosol indirect effect (AIE) are consistently smaller than the estimates from global aerosol models, and, partly as a result of these differences, the assessment of this climate forcing includes large uncertainties. Satellite estimates typically use the present-day (PD) relationship between observed cloud drop number concentrations (N(c)) and aerosol optical depths (AODs) to determine the preindustrial (PI) values of N(c). These values are then used to determine the PD and PI cloud albedos and, thus, the effect of anthropogenic aerosols on top of the atmosphere radiative fluxes. Here, we use a model with realistic aerosol and cloud processes to show that empirical relationships for ln(N(c)) versus ln(AOD) derived from PD results do not represent the atmospheric perturbation caused by the addition of anthropogenic aerosols to the preindustrial atmosphere. As a result, the model estimates based on satellite methods of the AIE are between a factor of 3 to more than a factor of 6 smaller than model estimates based on actual PD and PI values for N(c). Using ln(N(c)) versus ln(AI) (Aerosol Index, or the optical depth times angstrom exponent) to estimate preindustrial values for N(c) provides estimates for N(c) and forcing that are closer to the values predicted by the model. Nevertheless, the AIE using ln(N(c)) versus ln(AI) may be substantially incorrect on a regional basis and may underestimate or overestimate the global average forcing by 25 to 35%.
authors.affiliation: Department of Atmospheric, Oceanic, and Space Sciences, University of Michigan, Ann Arbor, MI 48109, USA. penner@umich.edu
authors.forename: Joyce E
authors.initials: JE
authors.lastname: Penner
authors.forename: Li
authors.initials: L
authors.lastname: Xu
authors.forename: Minghuai
authors.initials: M
authors.lastname: Wang
mesh_terms: D000336:Aerosols / Q000032:analysis* / Q000494:pharmacology*; D000393:Air Pollutants / Q000032:analysis / Q000494:pharmacology; D002980:Climate; D004784:Environmental Monitoring / Q000379:methods*; D008722:Methods; D008962:Models, Theoretical; D018531:Spacecraft
chemical_list: D000336:Aerosols; D000393:Air Pollutants