Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DP Combining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model

Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DP Combining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model. Mikkonen, S., Korhonen, H., Romakkaniemi, S., Smith, J., N., Joutsensaari, J., Lehtinen, K., E., J., Hamed, A., Breider, T., J., Birmili, W., Spindler, G., Plass-Duelmer, C., Facchini, M., C., & Laaksonen, A. Geoscientific Model Development, 4(1):1-13, 1, 2011.

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Measurements of aerosol size distribution and different gas andmeteorological parameters, made in three polluted sites in Central andSouthern Europe: Po Valley, Italy, Melpitz and Hohenpeissenberg in Germany,were analysed for this study to examine which of the meteorological and tracegas variables affect the number concentration of Aitken (D PCombining double low line 50 nm)particles. The aim of our study was to predict the number concentration of50 nm particles by a combination of in-situ meteorological and gas phaseparameters. The statistical model needs to describe, amongst others, thefactors affecting the growth of newly formed aerosol particles (below 10 nm)to 50 nm size, but also sources of direct particle emissions in that sizerange. As the analysis method we used multivariate nonlinear mixed effectsmodel. Hourly averages of gas and meteorological parameters measured at thestations were used as predictor variables; the best predictive model wasattained with a combination of relative humidity, new particle formationevent probability, temperature, condensation sink and concentrations ofSO2, NO2 and ozone. The seasonal variation was also taken into accountin the mixed model structure. Model simulations with the Global Model ofAerosol Processes (GLOMAP) indicate that the parameterization can be used asa part of a larger atmospheric model to predict the concentration ofclimatically active particles. As an additional benefit, the introduced modelframework is, in theory, applicable for any kind of measured aerosolparameter. © 2011 Author(s).

@article{
 title = {Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DP Combining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model},
 type = {article},
 year = {2011},
 keywords = {central-europe,chemical-transport model,growth,microphysics,nucleation events,oxidation-products,rates,size-resolved aerosol,sulfate aerosol,sulfuric-acid},
 pages = {1-13},
 volume = {4},
 websites = {http://www.geosci-model-dev.net/4/1/2011/},
 month = {1},
 day = {11},
 id = {f5f637ce-55b0-34ff-aeda-36fb18c8eb4d},
 created = {2023-01-31T22:46:08.733Z},
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 last_modified = {2023-01-31T22:46:08.733Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Mikkonen2011},
 source_type = {Journal Article},
 language = {English},
 notes = {<b>From Duplicate 1 (<i>Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DP Combining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model</i> - Mikkonen, S.; Korhonen, H.; Romakkaniemi, S.; Smith, J. N.; Joutsensaari, J.; Lehtinen, K. E.J.; Hamed, A.; Breider, T. J.; Birmili, W.; Spindler, G.; Plass-Duelmer, C.; Facchini, M. C.; Laaksonen, A.)<br/></b><br/>742AO<br/>Times Cited:5<br/>Cited References Count:43<br/><br/><b>From Duplicate 2 (<i>Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DPCombining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model</i> - Mikkonen, S.; Korhonen, H.; Romakkaniemi, S.; Smith, J. N.; Joutsensaari, J.; Lehtinen, K. E.J. J; Hamed, A.; Breider, T. J.; Birmili, W.; Spindler, G.; Plass-Duelmer, C.; Facchini, M. C.; Laaksonen, A.)<br/></b><br/><b>From Duplicate 1 (<i>Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (DPCombining double low line 50 nm) particles in the continental boundary layer: Parameterization using a multivariate mixed effects model</i> - Mikkonen, S.; Korhonen, H.; Romakkaniemi, S.; Smith, J. N.; Joutsensaari, J.; Lehtinen, K. E.J.; Hamed, A.; Breider, T. J.; Birmili, W.; Spindler, G.; Plass-Duelmer, C.; Facchini, M. C.; Laaksonen, A.)<br/></b><br/>742AO<br/>Times Cited:5<br/>Cited References Count:43},
 private_publication = {false},
 abstract = {Measurements of aerosol size distribution and different gas andmeteorological parameters, made in three polluted sites in Central andSouthern Europe: Po Valley, Italy, Melpitz and Hohenpeissenberg in Germany,were analysed for this study to examine which of the meteorological and tracegas variables affect the number concentration of Aitken (D PCombining double low line 50 nm)particles. The aim of our study was to predict the number concentration of50 nm particles by a combination of in-situ meteorological and gas phaseparameters. The statistical model needs to describe, amongst others, thefactors affecting the growth of newly formed aerosol particles (below 10 nm)to 50 nm size, but also sources of direct particle emissions in that sizerange. As the analysis method we used multivariate nonlinear mixed effectsmodel. Hourly averages of gas and meteorological parameters measured at thestations were used as predictor variables; the best predictive model wasattained with a combination of relative humidity, new particle formationevent probability, temperature, condensation sink and concentrations ofSO2, NO2 and ozone. The seasonal variation was also taken into accountin the mixed model structure. Model simulations with the Global Model ofAerosol Processes (GLOMAP) indicate that the parameterization can be used asa part of a larger atmospheric model to predict the concentration ofclimatically active particles. As an additional benefit, the introduced modelframework is, in theory, applicable for any kind of measured aerosolparameter. © 2011 Author(s).},
 bibtype = {article},
 author = {Mikkonen, S. and Korhonen, H. and Romakkaniemi, S. and Smith, J. N. and Joutsensaari, J. and Lehtinen, K. E.J. J and Hamed, A. and Breider, T. J. and Birmili, W. and Spindler, G. and Plass-Duelmer, C. and Facchini, M. C. and Laaksonen, A.},
 doi = {10.5194/gmd-4-1-2011},
 journal = {Geoscientific Model Development},
 number = {1}
}

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