Articles | Volume 5, issue 12
https://doi.org/10.5194/acp-5-3345-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/acp-5-3345-2005
© Author(s) 2005. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
14 Dec 2005
A look at aerosol formation using data mining techniques
S. Hyvönen
Helsinki Institute for Information Technology, Basic Research Unit, Department of Computer Science, University of Helsinki, P.O. Box 68, 00 014 University of Helsinki, Finland
H. Junninen
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
L. Laakso
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
M. Dal Maso
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
T. Grönholm
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
B. Bonn
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
P. Keronen
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
P. Aalto
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
V. Hiltunen
Hyytiälä Forestry Field Station, Hyytiäläntie 124, 35 500 Korkeakoski, Finland
T. Pohja
Hyytiälä Forestry Field Station, Hyytiäläntie 124, 35 500 Korkeakoski, Finland
S. Launiainen
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
P. Hari
Department of Forest Ecology, Faculty of Agriculture and Forestry, P.O. Box 27, 00 014 University of Helsinki, Finland
H. Mannila
Helsinki Institute for Information Technology, Basic Research Unit, Department of Computer Science, University of Helsinki, P.O. Box 68, 00 014 University of Helsinki, Finland
M. Kulmala
Department of Physics, University of Helsinki, P.O. Box 64, 00 014 University of Helsinki, Finland
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60 citations as recorded by crossref.
- Persistent daily new particle formation at a mountain-top location A. Hallar et al. 10.1016/j.atmosenv.2011.04.044
- The Significant Role of New Particle Composition and Morphology on the HNO3-Driven Growth of Particles down to Sub-10 nm Y. Li et al. 10.1021/acs.est.3c09454
- Evolution of size-segregated aerosol concentration in NW Spain: A two-step classification to identify new particle formation events C. Blanco-Alegre et al. 10.1016/j.jenvman.2021.114232
- Trajectory analysis of atmospheric transport of fine particles, SO<sub>2</sub>, NO<sub>x</sub> and O<sub>3</sub> to the SMEAR II station in Finland in 1996–2008 L. Riuttanen et al. 10.5194/acp-13-2153-2013
- Representing situational knowledge acquired from sensor data for atmospheric phenomena M. Stocker et al. 10.1016/j.envsoft.2014.04.006
- Seasonal variation of CCN concentrations and aerosol activation properties in boreal forest S. Sihto et al. 10.5194/acp-11-13269-2011
- Columnar modelling of nucleation burst evolution in the convective boundary layer – first results from a feasibility study Part IV: A compilation of previous observations for valuation of simulation results from a columnar modelling study O. Hellmuth 10.5194/acp-6-4253-2006
- Using discriminant analysis as a nucleation event classification method S. Mikkonen et al. 10.5194/acp-6-5549-2006
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- Nucleation and growth of new particles in Po Valley, Italy A. Hamed et al. 10.5194/acp-7-355-2007
- Observations of new particle formation at two distinct Indian subcontinental urban locations V. Kanawade et al. 10.1016/j.atmosenv.2014.08.001
- Relative humidity effect on the formation of highly oxidized molecules and new particles during monoterpene oxidation X. Li et al. 10.5194/acp-19-1555-2019
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- Predicting river water quality index using data mining techniques R. Babbar & S. Babbar 10.1007/s12665-017-6845-9
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- High concentrations of sub-3nm clusters and frequent new particle formation observed in the Po Valley, Italy, during the PEGASOS 2012 campaign J. Kontkanen et al. 10.5194/acp-16-1919-2016
- Modeling study on aerosol dynamical processes regulating new particle and CCN formation at clean continental areas T. Anttila & V. Kerminen 10.1029/2008GL033371
- Modelling the influence of biotic plant stress on atmospheric aerosol particle processes throughout a growing season D. Taipale et al. 10.5194/acp-21-17389-2021
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- Occurrence and growth of sub-50 nm aerosol particles in the Amazonian boundary layer M. Franco et al. 10.5194/acp-22-3469-2022
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- Contribution of mixing in the ABL to new particle formation based on observations J. Lauros et al. 10.5194/acp-7-4781-2007
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- Different Characteristics of New Particle Formation Events at Two Suburban Sites in Northern China Y. Peng et al. 10.3390/atmos8120258
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- The role of relative humidity in continental new particle formation A. Hamed et al. 10.1029/2010JD014186
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- The Silk Road agenda of the Pan-Eurasian Experiment (PEEX) program H. Lappalainen et al. 10.1080/20964471.2018.1437704
- Relationship between submicron particle formation and air mass history observed in the Asian continental outflow at Gosan, Korea, during 2008–2018 S. Kim et al. 10.1007/s11869-020-00934-3
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- Nanoparticle ranking analysis: determining new particle formation (NPF) event occurrence and intensity based on the concentration spectrum of formed (sub-5 nm) particles D. Aliaga et al. 10.5194/ar-1-81-2023
- Spatial Changes in the Composition of Aerosol Structures O. Samsoni-Todorov et al. 10.3103/S1063455X23060085
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- Meteorological and trace gas factors affecting the number concentration of atmospheric Aitken (<i>D</i><sub>p</sub> = 50 nm) particles in the continental boundary layer: parameterization using a multivariate mixed effects model S. Mikkonen et al. 10.5194/gmd-4-1-2011
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