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An AeroCom initial assessment - Optical properties in aerosol component modules of global models

  • S. Kinne
  • , M. Schulz
  • , C. Textor
  • , S. Guibert
  • , Y. Balkanski
  • , S. E. Bauer
  • , T. Berntsen
  • , T. F. Berglen
  • , O. Boucher
  • , M. Chin
  • , W. Collins
  • , F. Dentener
  • , T. Diehl
  • , R. Easter
  • , J. Feichter
  • , D. Fillmore
  • , S. Ghan
  • , P. Ginoux
  • , S. Gong
  • , A. Grini
  • J. Hendricks, M. Herzog, L. Horowitz, I. Isaksen, T. Iversen, A. Kirkevåg, S. Kloster, D. Koch, J. E. Kristjansson, M. Krol, A. Lauer, J. F. Lamarque, G. Lesins, X. Liu, U. Lohmann, V. Montanaro, G. Myhre, J. E. Penner, G. Pitari, S. Reddy, O. Seland, P. Stier, T. Takemura, X. Tie
  • Max Planck Institute for Meteorology
  • Lab. Sci. du Climat et de l'Environ.
  • Columbia University
  • University of Oslo
  • Laboratoire d'Optique Atmosphérique
  • Met Office
  • NASA Goddard Space Flight Center
  • National Center for Atmospheric Research
  • European Commission Joint Research Centre Institute
  • Pacific Northwest National Laboratory
  • National Oceanic and Atmospheric Administration
  • Université Laval and Environment and Climate Change Canada
  • German Aerospace Center
  • Utrecht University
  • Dalhousie University
  • University of Michigan, Ann Arbor
  • Swiss Federal Institute of Technology Zurich
  • University of L'Aquila
  • Kyushu University

Research output: Contribution to journalArticlepeer-review

585 Scopus citations

Abstract

The AeroCom exercise diagnoses multicomponent aerosol modules in global modeling. In an initial assessment simulated global distributions for mass and mid-visible aerosol optical thickness (aot) were compared among 20 different modules. Model diversity was also explored in the context of previous comparisons. For the component combined aot general agreement has improved for the annual global mean. At 0.11 to 0.14, simulated aot values are at the lower end of global averages suggested by remote sensing from ground (AERONET ca. 0.135) and space (satellite composite ca. 0.15). More detailed comparisons, however, reveal that larger differences in regional distribution and significant differences in compositional mixture remain. Of particular concern are large model diversities for contributions by dust and carbonaceous aerosol, because they lead to significant uncertainty in aerosol absorption (aab). Since aot and aab, both, influence the aerosol impact on the radiative energy-balance, the aerosol (direct) forcing uncertainty in modeling is larger than differences in aot might suggest. New diagnostic approaches are proposed to trace model differences in terms of aerosol processing and transport: These include the prescription of common input (e.g. amount, size and injection of aerosol component emissions) and the use of observational capabilities from ground (e.g. measurements networks) or space (e.g. correlations between aerosol and clouds).

Original languageEnglish
Pages (from-to)1815-1834
Number of pages20
JournalAtmospheric Chemistry and Physics
Volume6
Issue number7
DOIs
StatePublished - 2006

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