ACPD Atmospheric Chemistry and Physics Discussions ACPD 1680-7375 Copernicus GmbH Göttingen, Germany 10.5194/acpd-5-7577-2005 A look at aerosol formation using data mining techniques Hyvönen S. 1 Junninen H. 2 Laakso L. 2 Dal Maso M. 2 Grönholm T. 2 Bonn B. 2 Keronen P. 2 Aalto P. 2 Hiltunen V. 3 Pohja T. 3 Launiainen S. 2 Hari P. 4 Mannila H. 1 Kulmala M. 2 Helsinki Institute of Information Technology, Basic Research Unit, Department of Computer Science, University of Helsinki, P.O. Box 68, FIN–00014 University of Helsinki, Finland Department of Physics, University of Helsinki, P.O. Box 64, FIN–00014 University of Helsinki, Finland Hyytiälä Forestry Field Station, Hyytiäläntie 124, 35500 Korkeakoski, Finland Department of Forest Ecology, Faculty of Agriculture and Forestry, P.O. Box 27, FIN–00014 University of Helsinki, Finland 29 08 2005 5 4 7577 7611 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys-discuss.net/5/7577/2005/acpd-5-7577-2005.html The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/5/7577/2005/acpd-5-7577-2005.pdf

Atmospheric aerosol particle formation is frequently observed throughout the atmosphere, but despite various attempts of explanation, the processes behind it remain unclear. In this study data mining techniques were used to find the key parameters needed for atmospheric aerosol particle formation to occur. A dataset of 8&nbsp;years of 80&nbsp;variables collected at the boreal forest station (SMEAR II) in Southern Finland was used, incorporating variables such as radiation, humidity, SO<sub>2</sub>, ozone and present aerosol surface area. Data analysis were done using clustering and classification methods. The aim of this approach was to gain new parameters independent of any subjective interpretation. This resulted in two key parameters, relative humidity and preexisting aerosol particle surface (condensation sink), capable in explaining 88% of the nucleation events. The inclusion of any further parameters did not improve the results notably. Using these two variables it was possible to derive a nucleation probability function. Interestingly, the two most important variables are related to mechanisms that prevent the nucleation from starting and particles from growing, while parameters related to initiation of particle formation seemed to be less important. Nucleation occurs only with low relative humidity and condensation sink values. One possible explanation for the effect of high water content is that it prevents biogenic hydrocarbon ozonolysis reactions from producing sufficient amounts of low volatility compounds, which might be able to nucleate. Unfortunately the most important biogenic hydrocarbon compound emissions were not available for this study. Another effect of water vapour may be due to its linkage to cloudiness which may prevent the formation of nucleating and/or condensing vapours. A high number of preexisting particles will act as a sink for condensable vapours that otherwise would have been able to form sufficient supersaturation and initiate the nucleation process.