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Intercomparison and Evaluation of Global Aerosol Microphysical Properties Among Aerocom Models of a Range of ComplexityMany of the next generation of global climate models will include aerosol schemes which explicitly simulate the microphysical processes that determine the particle size distribution. These models enable aerosol optical properties and cloud condensation nuclei (CCN) concentrations to be determined by fundamental aerosol processes, which should lead to a more physically based simulation of aerosol direct and indirect radiative forcings. This study examines the global variation in particle size distribution simulated by 12 global aerosol microphysics models to quantify model diversity and to identify any common biases against observations. Evaluation against size distribution measurements from a new European network of aerosol supersites shows that the mean model agrees quite well with the observations at many sites on the annual mean, but there are some seasonal biases common to many sites. In particular, at many of these European sites, the accumulation mode number concentration is biased low during winter and Aitken mode concentrations tend to be overestimated in winter and underestimated in summer. At high northern latitudes, the models strongly underpredict Aitken and accumulation particle concentrations compared to the measurements, consistent with previous studies that have highlighted the poor performance of global aerosol models in the Arctic. In the marine boundary layer, the models capture the observed meridional variation in the size distribution, which is dominated by the Aitken mode at high latitudes, with an increasing concentration of accumulation particles with decreasing latitude. Considering vertical profiles, the models reproduce the observed peak in total particle concentrations in the upper troposphere due to new particle formation, although modelled peak concentrations tend to be biased high over Europe. Overall, the multimodel- mean data set simulates the global variation of the particle size distribution with a good degree of skill, suggesting that most of the individual global aerosol microphysics models are performing well, although the large model diversity indicates that some models are in poor agreement with the observations. Further work is required to better constrain size-resolved primary and secondary particle number sources, and an improved understanding of nucleation an growth (e.g. the role of nitrate and secondary organics) will improve the fidelity of simulated particle size distributions.
Document ID
20150002130
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Mann, G. W.
(Leeds Univ. United Kingdom)
Carslaw, K. S.
(Leeds Univ. United Kingdom)
Reddington, C. L.
(Leeds Univ. United Kingdom)
Pringle, K. J.
(Leeds Univ. United Kingdom)
Schulz, M.
(Norwegian Meteorological Inst. Oslo, Norway)
Asmi, A.
(Helsinki Univ. Helsinki, Finland)
Spracklen, D. V.
(Leeds Univ. United Kingdom)
Ridley, D. A.
(Leeds Univ. United Kingdom)
Woodhouse, M. T.
(Leeds Univ. United Kingdom)
Lee, L. A.
(Leeds Univ. United Kingdom)
Zhang, K.
(Max-Planck-Inst. fuer Meteorologie Hamburg, Germany)
Ghan, S. J.
(Pacific Northwest National Lab. Richland, WA, United States)
Easter, R. C.
(Pacific Northwest National Lab. Richland, WA, United States)
Liu, X.
(Pacific Northwest National Lab. Richland, WA, United States)
Stier, P.
(Oxford Univ. Oxford, United Kingdom)
Lee, Y. H
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Adams, P. J.
(Carnegie-Mellon Univ. Pittsburgh, PA, United States)
Tost, H.
(Max-Planck-Inst. fuer Chemie Mainz, Germany)
Lelieveld, J.
(Max-Planck-Inst. fuer Chemie Mainz, Germany)
Bauer, S. E.
(Columbia Univ. New York, NY, United States)
Tsigaridis, K.
(Columbia Univ. New York, NY, United States)
van Noije, T. P. C.
(Royal Netherlands Meteorological Inst. De Bilt, Netherlands)
Strunk, A.
(Royal Netherlands Meteorological Inst. De Bilt, Netherlands)
Vignati, E.
(Joint Research Centre of the European Communities Ispra, Italy)
Bellouin, N.
(Reading Univ. United Kingdom)
Date Acquired
February 25, 2015
Publication Date
May 13, 2014
Publication Information
Publication: Atmospheric Chemistry and Physics
Publisher: Copernicus
Volume: 14
Issue: 9
Subject Category
Geophysics
Meteorology And Climatology
Report/Patent Number
GSFC-E-DAA-TN19747
Report Number: GSFC-E-DAA-TN19747
Funding Number(s)
CONTRACT_GRANT: NNX14AB99A
CONTRACT_GRANT: 942106
CONTRACT_GRANT: NNX09AK66G
CONTRACT_GRANT: NNX11AQ72G
CONTRACT_GRANT: NNX09AK32G
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
Cloud physics
Aerosols
Bias
Particle size distribution
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