Articles | Volume 18, issue 2
https://doi.org/10.5194/acp-18-1307-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-1307-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
31 Jan 2018
Research article |
| 31 Jan 2018
| 31 Jan 2018
Resolving nanoparticle growth mechanisms from size- and time-dependent growth rate analysis
Lukas Pichelstorfer
Division of Physics and Biophysics, Department of Materials Research and Physics, University of Salzburg, Salzburg, Austria
Dominik Stolzenburg
Faculty of Physics, University of Vienna, Vienna, Austria
John Ortega
Atmospheric Chemistry Observations and Modeling Laboratory, National Center for Atmospheric
Research, Boulder, Colorado, USA
Thomas Karl
Institute for Meteorology and Geophysics, University of Innsbruck, Innsbruck, Austria
Harri Kokkola
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, Kuopio, Finland
Anton Laakso
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, Kuopio, Finland
Kari E. J. Lehtinen
Finnish Meteorological Institute, Atmospheric Research Centre of
Eastern Finland, Kuopio, Finland
Department of Applied Physics, University of Eastern Finland, Kuopio, Finland
James N. Smith
Department of Chemistry, University of California, Irvine, California, USA
Peter H. McMurry
Department of Mechanical Engineering, University of Minnesota,
Twin Cities, Minneapolis, Minnesota, USA
Paul M. Winkler
CORRESPONDING AUTHOR
Faculty of Physics, University of Vienna, Vienna, Austria
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- Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. 10.1038/s41596-019-0274-z
- Combining instrument inversions for sub-10 nm aerosol number size-distribution measurements D. Stolzenburg et al. 10.1016/j.jaerosci.2021.105862
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- Extraction of monomer-cluster association rate constants from water nucleation data measured at extreme supersaturations C. Li et al. 10.1063/1.5118350
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- Aerosol formation and growth rates from chamber experiments using Kalman smoothing M. Ozon et al. 10.5194/acp-21-12595-2021
- Robust metric for quantifying the importance of stochastic effects on nanoparticle growth T. Olenius et al. 10.1038/s41598-018-32610-z
- Atmospheric new particle formation in China B. Chu et al. 10.5194/acp-19-115-2019
- On the relation between apparent ion and total particle growth rates in the boreal forest and related chamber experiments L. Gonzalez Carracedo et al. 10.5194/acp-22-13153-2022
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- Enhanced growth rate of atmospheric particles from sulfuric acid D. Stolzenburg et al. 10.5194/acp-20-7359-2020
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- What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles? J. Kontkanen et al. 10.1039/D1EA00103E
- The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, nitric acid, hydrochloric acid, ammonia, and dimethylamine O. Longsworth et al. 10.1039/D3EA00118K
- How the understanding of atmospheric new particle formation has evolved along with the development of measurement and analysis methods K. Lehtipalo et al. 10.1016/j.jaerosci.2024.106494
- Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing H. Wu et al. 10.1016/j.atmosenv.2021.118652
- Survival of newly formed particles in haze conditions R. Marten et al. 10.1039/D2EA00007E
- Role of sesquiterpenes in biogenic new particle formation L. Dada et al. 10.1126/sciadv.adi5297
- The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents H. Wu et al. 10.1093/nsr/nwaa157
- The driving effects of common atmospheric molecules for formation of prenucleation clusters: the case of sulfuric acid, formic acid, nitric acid, ammonia, and dimethyl amine C. Bready et al. 10.1039/D2EA00087C
25 citations as recorded by crossref.
- New particle formation and its effect on cloud condensation nuclei abundance in the summer Arctic: a case study in the Fram Strait and Barents Sea S. Kecorius et al. 10.5194/acp-19-14339-2019
- Impacts of coagulation on the appearance time method for new particle growth rate evaluation and their corrections R. Cai et al. 10.5194/acp-21-2287-2021
- Atmospheric nanoparticle growth D. Stolzenburg et al. 10.1103/RevModPhys.95.045002
- Improved counting statistics of an ultrafine differential mobility particle size spectrometer system D. Stolzenburg et al. 10.5194/amt-16-2471-2023
- Formation and growth of sub-3-nm aerosol particles in experimental chambers L. Dada et al. 10.1038/s41596-019-0274-z
- Combining instrument inversions for sub-10 nm aerosol number size-distribution measurements D. Stolzenburg et al. 10.1016/j.jaerosci.2021.105862
- The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, formic acid, hydrochloric acid, ammonia, and dimethylamine O. Longsworth et al. 10.1039/D3EA00087G
- Extraction of monomer-cluster association rate constants from water nucleation data measured at extreme supersaturations C. Li et al. 10.1063/1.5118350
- Emission and Formation of Aircraft Engine Oil Ultrafine Particles Z. Decker et al. 10.1021/acsestair.4c00184
- Aerosol formation and growth rates from chamber experiments using Kalman smoothing M. Ozon et al. 10.5194/acp-21-12595-2021
- Robust metric for quantifying the importance of stochastic effects on nanoparticle growth T. Olenius et al. 10.1038/s41598-018-32610-z
- Atmospheric new particle formation in China B. Chu et al. 10.5194/acp-19-115-2019
- On the relation between apparent ion and total particle growth rates in the boreal forest and related chamber experiments L. Gonzalez Carracedo et al. 10.5194/acp-22-13153-2022
- Errors in nanoparticle growth rates inferred from measurements in chemically reacting aerosol systems C. Li & P. McMurry 10.5194/acp-18-8979-2018
- Enhanced growth rate of atmospheric particles from sulfuric acid D. Stolzenburg et al. 10.5194/acp-20-7359-2020
- Estimating the influence of transport on aerosol size distributions during new particle formation events R. Cai et al. 10.5194/acp-18-16587-2018
- Atmospheric new particle formation and growth: review of field observations V. Kerminen et al. 10.1088/1748-9326/aadf3c
- What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles? J. Kontkanen et al. 10.1039/D1EA00103E
- The driving effects of common atmospheric molecules for formation of clusters: the case of sulfuric acid, nitric acid, hydrochloric acid, ammonia, and dimethylamine O. Longsworth et al. 10.1039/D3EA00118K
- How the understanding of atmospheric new particle formation has evolved along with the development of measurement and analysis methods K. Lehtipalo et al. 10.1016/j.jaerosci.2024.106494
- Contributions of traffic emissions and new particle formation to the ultrafine particle size distribution in the megacity of Beijing H. Wu et al. 10.1016/j.atmosenv.2021.118652
- Survival of newly formed particles in haze conditions R. Marten et al. 10.1039/D2EA00007E
- Role of sesquiterpenes in biogenic new particle formation L. Dada et al. 10.1126/sciadv.adi5297
- The impact of the atmospheric turbulence-development tendency on new particle formation: a common finding on three continents H. Wu et al. 10.1093/nsr/nwaa157
- The driving effects of common atmospheric molecules for formation of prenucleation clusters: the case of sulfuric acid, formic acid, nitric acid, ammonia, and dimethyl amine C. Bready et al. 10.1039/D2EA00087C
Latest update: 14 Dec 2024
Short summary
Quantification of new particle formation as a source of atmospheric aerosol is clearly of importance for climate and health aspects. In our new study we developed two analysis methods that allow retrieval of nanoparticle growth dynamics at much higher precision than it was possible so far. Our results clearly demonstrate that growth rates show much more variation than is currently known and suggest that the Kelvin effect governs growth in the sub-10 nm size range.
Quantification of new particle formation as a source of atmospheric aerosol is clearly of...
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