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Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity

Mann, G. W. ; Carslaw, K. S. ; Reddington, C. L. ; Pringle, K. J. ; Schulz, M. ; Asmi, A. ; Spracklen, D. V. ; Ridley, D. A. ; Woodhouse, M. T. and Lee, L. A. , et al. (2014) In Atmospheric Chemistry and Physics 14(9). p.4679-4713
Abstract
Many 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... (More)
Many 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 and growth (e. g. the role of nitrate and secondary organics) will improve the fidelity of simulated particle size distributions. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Atmospheric Chemistry and Physics
volume
14
issue
9
pages
4679 - 4713
publisher
Copernicus GmbH
external identifiers
  • wos:000336739700020
  • scopus:84900843983
ISSN
1680-7324
DOI
10.5194/acp-14-4679-2014
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Nuclear Physics (Faculty of Technology) (011013007)
id
d22afb1c-11f5-4771-90e1-a5bdd085f777 (old id 4558522)
date added to LUP
2016-04-01 09:49:48
date last changed
2022-04-27 07:50:31
@article{d22afb1c-11f5-4771-90e1-a5bdd085f777,
  abstract     = {{Many 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 and growth (e. g. the role of nitrate and secondary organics) will improve the fidelity of simulated particle size distributions.}},
  author       = {{Mann, G. W. and Carslaw, K. S. and Reddington, C. L. and Pringle, K. J. and Schulz, M. and Asmi, A. and Spracklen, D. V. and Ridley, D. A. and Woodhouse, M. T. and Lee, L. A. and Zhang, K. and Ghan, S. J. and Easter, R. C. and Liu, X. and Stier, P. and Lee, Y. H. and Adams, P. J. and Tost, H. and Lelieveld, J. and Bauer, S. E. and Tsigaridis, K. and van Noije, T. P. C. and Strunk, A. and Vignati, E. and Bellouin, N. and Dalvi, M. and Johnson, C. E. and Bergman, T. and Kokkola, H. and von Salzen, K. and Yu, F. and Luo, G. and Petzold, A. and Heintzenberg, J. and Clarke, A. and Ogren, A. and Gras, J. and Baltensperger, U. and Kaminski, U. and Jennings, S. G. and O'Dowd, C. D. and Harrison, R. M. and Beddows, D. C. S. and Kulmala, M. and Viisanen, Y. and Ulevicius, V. and Mihalopoulos, N. and Zdimal, V. and Fiebig, M. and Hansson, H-C and Swietlicki, Erik and Henzing, J. S.}},
  issn         = {{1680-7324}},
  language     = {{eng}},
  number       = {{9}},
  pages        = {{4679--4713}},
  publisher    = {{Copernicus GmbH}},
  series       = {{Atmospheric Chemistry and Physics}},
  title        = {{Intercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity}},
  url          = {{http://dx.doi.org/10.5194/acp-14-4679-2014}},
  doi          = {{10.5194/acp-14-4679-2014}},
  volume       = {{14}},
  year         = {{2014}},
}