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| Titel |
Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (Dp = 50 nm) particles in the continental boundary layer: parameterization using a multivariate mixed effects model |
| VerfasserIn |
S. Mikkonen, H. Korhonen, S. Romakkaniemi, J. N. Smith, J. Joutsensaari, K. E. J. Lehtinen, A. Hamed, T. J. Breider, W. Birmili, G. Spindler, C. Plass-Duelmer, M. C. Facchini, A. Laaksonen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 1 ; Nr. 4, no. 1 (2011-01-11), S.1-13 |
| Datensatznummer |
250001550
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| Publikation (Nr.) |
 copernicus.org/gmd-4-1-2011.pdf |
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| Zusammenfassung |
| Measurements of aerosol size distribution and different gas and
meteorological parameters, made in three polluted sites in Central and
Southern Europe: Po Valley, Italy, Melpitz and Hohenpeissenberg in Germany,
were analysed for this study to examine which of the meteorological and trace
gas variables affect the number concentration of Aitken (Dp= 50 nm)
particles. The aim of our study was to predict the number concentration of
50 nm particles by a combination of in-situ meteorological and gas phase
parameters. The statistical model needs to describe, amongst others, the
factors affecting the growth of newly formed aerosol particles (below 10 nm)
to 50 nm size, but also sources of direct particle emissions in that size
range. As the analysis method we used multivariate nonlinear mixed effects
model. Hourly averages of gas and meteorological parameters measured at the
stations were used as predictor variables; the best predictive model was
attained with a combination of relative humidity, new particle formation
event probability, temperature, condensation sink and concentrations of
SO2, NO2 and ozone. The seasonal variation was also taken into account
in the mixed model structure. Model simulations with the Global Model of
Aerosol Processes (GLOMAP) indicate that the parameterization can be used as
a part of a larger atmospheric model to predict the concentration of
climatically active particles. As an additional benefit, the introduced model
framework is, in theory, applicable for any kind of measured aerosol
parameter. |
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