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000155386 0247_ $$2doi$$a10.5194/acp-14-4679-2014
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000155386 1001_ $$0P:(DE-HGF)0$$aMann, G. W.$$b0
000155386 245__ $$aIntercomparison and evaluation of global aerosol microphysical properties among AeroCom models of a range of complexity
000155386 260__ $$aKatlenburg-Lindau$$bEGU$$c2014
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000155386 520__ $$aMany 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 multi-model-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.
000155386 536__ $$0G:(DE-HGF)POF2-233$$a233 - Trace gas and aerosol processes in the troposphere (POF2-233)$$cPOF2-233$$fPOF II$$x0
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000155386 7001_ $$0P:(DE-HGF)0$$aCarslaw, K. S.$$b1
000155386 7001_ $$0P:(DE-HGF)0$$aReddington, C. L.$$b2
000155386 7001_ $$0P:(DE-HGF)0$$aPringle, K. J.$$b3
000155386 7001_ $$0P:(DE-HGF)0$$aSchulz, M.$$b4
000155386 7001_ $$0P:(DE-HGF)0$$aAsmi, A.$$b5
000155386 7001_ $$0P:(DE-HGF)0$$aSpracklen, D. V.$$b6
000155386 7001_ $$0P:(DE-HGF)0$$aRidley, D. A.$$b7
000155386 7001_ $$0P:(DE-HGF)0$$aWoodhouse, M. T.$$b8
000155386 7001_ $$0P:(DE-HGF)0$$aLee, L. A.$$b9
000155386 7001_ $$0P:(DE-HGF)0$$aZhang, K.$$b10
000155386 7001_ $$0P:(DE-HGF)0$$aGhan, S. J.$$b11
000155386 7001_ $$0P:(DE-HGF)0$$aEaster, R. C.$$b12
000155386 7001_ $$0P:(DE-HGF)0$$aLiu, X.$$b13
000155386 7001_ $$0P:(DE-HGF)0$$aStier, P.$$b14
000155386 7001_ $$0P:(DE-HGF)0$$aLee, Y. H.$$b15
000155386 7001_ $$0P:(DE-HGF)0$$aAdams, P. J.$$b16
000155386 7001_ $$0P:(DE-HGF)0$$aTost, H.$$b17
000155386 7001_ $$0P:(DE-HGF)0$$aLelieveld, J.$$b18
000155386 7001_ $$0P:(DE-HGF)0$$aBauer, S. E.$$b19
000155386 7001_ $$0P:(DE-HGF)0$$aTsigaridis, K.$$b20
000155386 7001_ $$0P:(DE-HGF)0$$avan Noije, T. P. C.$$b21
000155386 7001_ $$0P:(DE-HGF)0$$aStrunk, A.$$b22
000155386 7001_ $$0P:(DE-HGF)0$$aVignati, E.$$b23
000155386 7001_ $$0P:(DE-HGF)0$$aBellouin, N.$$b24
000155386 7001_ $$0P:(DE-HGF)0$$aDalvi, M.$$b25
000155386 7001_ $$0P:(DE-HGF)0$$aJohnson, C. E.$$b26
000155386 7001_ $$0P:(DE-HGF)0$$aBergman, T.$$b27
000155386 7001_ $$0P:(DE-HGF)0$$aKokkola, H.$$b28
000155386 7001_ $$0P:(DE-HGF)0$$avon Salzen, K.$$b29
000155386 7001_ $$0P:(DE-HGF)0$$aYu, F.$$b30
000155386 7001_ $$0P:(DE-HGF)0$$aLuo, G.$$b31
000155386 7001_ $$0P:(DE-Juel1)136669$$aPetzold, A.$$b32$$ufzj
000155386 7001_ $$0P:(DE-HGF)0$$aHeintzenberg, J.$$b33
000155386 7001_ $$0P:(DE-HGF)0$$aClarke, A.$$b34
000155386 7001_ $$0P:(DE-HGF)0$$aOgren, J. A.$$b35
000155386 7001_ $$0P:(DE-HGF)0$$aGras, J.$$b36
000155386 7001_ $$0P:(DE-HGF)0$$aBaltensperger, U.$$b37
000155386 7001_ $$0P:(DE-HGF)0$$aKaminski, U.$$b38
000155386 7001_ $$0P:(DE-HGF)0$$aJennings, S. G.$$b39
000155386 7001_ $$0P:(DE-HGF)0$$aO'Dowd, C. D.$$b40
000155386 7001_ $$0P:(DE-HGF)0$$aHarrison, R. M.$$b41
000155386 7001_ $$0P:(DE-HGF)0$$aBeddows, D. C. S.$$b42
000155386 7001_ $$0P:(DE-HGF)0$$aKulmala, M.$$b43
000155386 7001_ $$0P:(DE-HGF)0$$aViisanen, Y.$$b44
000155386 7001_ $$0P:(DE-HGF)0$$aUlevicius, V.$$b45
000155386 7001_ $$0P:(DE-HGF)0$$aMihalopoulos, N.$$b46
000155386 7001_ $$0P:(DE-HGF)0$$aZdimal, V.$$b47
000155386 7001_ $$0P:(DE-HGF)0$$aFiebig, M.$$b48
000155386 7001_ $$0P:(DE-HGF)0$$aHansson, H.-C.$$b49
000155386 7001_ $$0P:(DE-HGF)0$$aSwietlicki, E.$$b50
000155386 7001_ $$0P:(DE-HGF)0$$aHenzing, J. S.$$b51
000155386 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-14-4679-2014$$gVol. 14, no. 9, p. 4679 - 4713$$n9$$p4679 - 4713$$tAtmospheric chemistry and physics$$v14$$x1680-7324$$y2014
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