Articles | Volume 15, issue 14
https://doi.org/10.5194/acp-15-8077-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-8077-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| Highlight paper
| 
22 Jul 2015
Research article | Highlight paper |
| 22 Jul 2015
Mapping gas-phase organic reactivity and concomitant secondary organic aerosol formation: chemometric dimension reduction techniques for the deconvolution of complex atmospheric data sets
K. P. Wyche
CORRESPONDING AUTHOR
Air Environment Research, School of Environment and Technology, University of Brighton, Brighton, BN2 4GJ, United Kingdom
Department of Chemistry, University of Leicester, Leicester, LE1 7RH, United Kingdom
P. S. Monks
Department of Chemistry, University of Leicester, Leicester, LE1 7RH, United Kingdom
K. L. Smallbone
Air Environment Research, School of Environment and Technology, University of Brighton, Brighton, BN2 4GJ, United Kingdom
J. F. Hamilton
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, YO10 5DD, United Kingdom
M. R. Alfarra
School of Earth, Atmospheric and Environmental Sciences, University of Manchester, M13 9PL, United Kingdom
National Centre for Atmospheric Science, University of Manchester, Manchester, M13 9PL, United Kingdom
A. R. Rickard
Wolfson Atmospheric Chemistry Laboratories, Department of Chemistry, University of York, York, YO10 5DD, United Kingdom
National Centre for Atmospheric Science, University of York, York, YO10 5DD, United Kingdom
G. B. McFiggans
School of Earth, Atmospheric and Environmental Sciences, University of Manchester, M13 9PL, United Kingdom
M. E. Jenkin
Atmospheric Chemistry Services, Okehampton, Devon, EX20 1FB, United Kingdom
W. J. Bloss
School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, B15 2TT, United Kingdom
A. C. Ryan
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
C. N. Hewitt
Lancaster Environment Centre, Lancaster University, Lancaster, LA1 4YQ, United Kingdom
A. R. MacKenzie
Birmingham Institute of Forest Research, University of Birmingham, Birmingham, B15 2TT, United Kingdom
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Cited
11 citations as recorded by crossref.
- Cloud Activation Potentials for Atmospheric α-Pinene and β-Caryophyllene Ozonolysis Products A. Gray Bé et al. 10.1021/acscentsci.7b00112
- A Review of Atmospheric Aerosols in Antarctica: From Characterization to Data Processing J. Anzano et al. 10.3390/atmos13101621
- Atmospheric β-Caryophyllene-Derived Ozonolysis Products at Interfaces A. Bé et al. 10.1021/acsearthspacechem.8b00156
- Proton-Transfer-Reaction Mass Spectrometry: Applications in Atmospheric Sciences B. Yuan et al. 10.1021/acs.chemrev.7b00325
- Application of fuzzy c-means clustering for analysis of chemical ionization mass spectra: insights into the gas phase chemistry of NO3-initiated oxidation of isoprene R. Wu et al. 10.5194/amt-17-1811-2024
- Emissions of biogenic volatile organic compounds and subsequent photochemical production of secondary organic aerosol in mesocosm studies of temperate and tropical plant species K. Wyche et al. 10.5194/acp-14-12781-2014
- Characterisation of the Manchester Aerosol Chamber facility Y. Shao et al. 10.5194/amt-15-539-2022
- Discrimination and geo-spatial mapping of atmospheric VOC sources using full scan direct mass spectral data collected from a moving vehicle L. Richards et al. 10.1039/C9EM00439D
- Comparison of dimension reduction techniques in the analysis of mass spectrometry data S. Isokääntä et al. 10.5194/amt-13-2995-2020
- Fully online clustering of evolving data streams into arbitrarily shaped clusters R. Hyde et al. 10.1016/j.ins.2016.12.004
- Emissions of biogenic volatile organic compounds and subsequent photochemical production of secondary organic aerosol in mesocosm studies of temperate and tropical plant species K. Wyche et al. 10.5194/acp-14-12781-2014
10 citations as recorded by crossref.
- Cloud Activation Potentials for Atmospheric α-Pinene and β-Caryophyllene Ozonolysis Products A. Gray Bé et al. 10.1021/acscentsci.7b00112
- A Review of Atmospheric Aerosols in Antarctica: From Characterization to Data Processing J. Anzano et al. 10.3390/atmos13101621
- Atmospheric β-Caryophyllene-Derived Ozonolysis Products at Interfaces A. Bé et al. 10.1021/acsearthspacechem.8b00156
- Proton-Transfer-Reaction Mass Spectrometry: Applications in Atmospheric Sciences B. Yuan et al. 10.1021/acs.chemrev.7b00325
- Application of fuzzy c-means clustering for analysis of chemical ionization mass spectra: insights into the gas phase chemistry of NO3-initiated oxidation of isoprene R. Wu et al. 10.5194/amt-17-1811-2024
- Emissions of biogenic volatile organic compounds and subsequent photochemical production of secondary organic aerosol in mesocosm studies of temperate and tropical plant species K. Wyche et al. 10.5194/acp-14-12781-2014
- Characterisation of the Manchester Aerosol Chamber facility Y. Shao et al. 10.5194/amt-15-539-2022
- Discrimination and geo-spatial mapping of atmospheric VOC sources using full scan direct mass spectral data collected from a moving vehicle L. Richards et al. 10.1039/C9EM00439D
- Comparison of dimension reduction techniques in the analysis of mass spectrometry data S. Isokääntä et al. 10.5194/amt-13-2995-2020
- Fully online clustering of evolving data streams into arbitrarily shaped clusters R. Hyde et al. 10.1016/j.ins.2016.12.004
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Short summary
This paper describes a new ensemble methodology for the statistical analysis of atmospheric gas- & particle-phase composition data sets. The methodology reduces the huge amount of data derived from many chamber experiments to show that organic reactivity & resultant particle formation can be mapped into unique clusters in statistical space. The model generated is used to map more realistic plant mesocosm oxidation data, the projection of which gives insight into reactive pathways & precursors.
This paper describes a new ensemble methodology for the statistical analysis of atmospheric gas-...
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