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Document Version Version Comment Date Status
276232.0 [No comment] 09.01.2013 13:45 Released

ID: 276232.0, MPI für Meteorologie / Atmosphere in the Earth System
An AeroCom initial assessment - optical properties in aerosol component modules of global models
Authors:Kinne, S.; Schulz, M.; Textor, C.; Guibert, S.; Balkanski, Y.; Bauer, S. E.; Berntsen, T.; Berglen, T. F.; Boucher, O.; Chin, M.; Collins, W.; Dentener, F.; Diehl, T.; Easter, R.; Feichter, J.; Fillmore, D.; Ghan, S.; Ginoux, P.; Gong, S.; Grini, A.; Hendricks, J.; Herzog, M.; Horowitz, L.; Isaksen, I.; Iversen, T.; Kirkevåg, A.; Kloster, S.; Koch, D.; Kristjansson, J. E.; Krol, M.; Lauer, A.; Lamarque, J. F.; Lesins, G.; Liu, X.; Lohmann, U.; Montanaro, V.; Myhre, G.; Penner, J. E.; Pitari, G.; Reddy, S.; Seland, O.; Stier, P.; Takamura, T.; Tie, X.
Date of Publication (YYYY-MM-DD):2006-05-29
Title of Journal:Atmospheric Chemistry and Physics
Journal Abbrev.:Atmos. Chem. Phys.
Start Page:1815
End Page:1834
Review Status:Peer-review
Audience:Experts Only
Abstract / Description:The AeroCom exercise diagnoses multi-component 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)
External Publication Status:published
Document Type:Article
Communicated by:Carola Kauhs
Affiliations:MPI für Meteorologie/Atmosphere in the Earth System
MPI für Meteorologie/IMPRS Earth System Modelling
External Affiliations:Laboratoire des Sciences du Climat et de l’environnement, Gif-sur-Yvette, France; The Earth Institute at Columbia University, New York, NY, USA; University of Oslo, Department of Geosciences, Oslo, Norway; Laboratoire d’Optique Atmosph’erique, USTL/CNRS, Villeneuve d’Ascq, France; Hadley Centre, Met Office, Exeter, UK; NASA Goddard Space Flight Center, Greenbelt, MD, USA; NCAR, Boulder, Colorado, USA; EC, Joint Research Centre, IES, Climate Change Unit, Ispra, Italy; Goddard Earth Sciences and Technology Center, UMBC, Baltimore, MD, USA; Batelle, Pacific Northwest National Laboratory, Richland, USA; NOAA, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, USA; ARQM Meteorological Service Canada, Toronto, Canada; DLR, Institut Physik der Atmosphaere, Oberpfaffenhofen, Germany; University of Michigan, Ann Arbor, MI, USA; Institute for Marine and Atmospheric Research Utrecht (IMAU) Utrecht, The Netherlands; Dalhousie University, Halifax, Canada; ETH Zuerich, Switzerland; Universita degli Studi L’Aquila, L’Aquila, Italy; Kyushu University, Fukuoka, Japan
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