The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Causes and importance of new particle formation in the present‐day and preindustrial atmospheres
Open accessAbstract
New particle formation has been estimated to produce around half of cloud‐forming particles in the present‐day atmosphere, via gas‐to‐particle conversion. Here we assess the importance of new particle formation (NPF) for both the present‐day and the preindustrial atmospheres. We use a global aerosol model with parametrizations of NPF from previously published CLOUD chamber experiments involving sulfuric acid, ammonia, organic molecules, and ions. We find that NPF produces around 67% of cloud condensation nuclei at 0.2% supersaturation (CCN0.2%) at the level of low clouds in the preindustrial atmosphere (estimated uncertainty range 45–84%) and 54% in the present day (estimated uncertainty range 38–66%). Concerning causes, we find that the importance of biogenic volatile organic compounds (BVOCs) in NPF and CCN formation is greater than previously thought. Removing BVOCs and hence all secondary organic aerosol from our model reduces low‐cloud‐level CCN concentrations at 0.2% supersaturation by 26% in the present‐day atmosphere and 41% in the preindustrial. Around three quarters of this reduction is due to the tiny fraction of the oxidation products of BVOCs that have sufficiently low volatility to be involved in NPF and early growth. Furthermore, we estimate that 40% of preindustrial CCN0.2% are formed via ion‐induced NPF, compared with 27% in the present day, although we caution that the ion‐induced fraction of NPF involving BVOCs is poorly measured at present. Our model suggests that the effect of changes in cosmic ray intensity on CCN is small and unlikely to be comparable to the effect of large variations in natural primary aerosol emissions.
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Cites
Evolution of Organic Aerosols in the Atmosphere
Jimenez, J. L., Canagaratna, M. R., Donahue, N. M., Prevot, A. S. H., Zhang, Q., Kroll, J. H., DeCarlo, P. F., Allan, J. D., Coe, H., Ng, N. L., et al. (2009) · Science · doi:10.1126/science.1180353 · Cited by 4,167
Self-citationOrganic aerosol and global climate modelling: a review
Kanakidou, M., Seinfeld, J. H., Pandis, S. N., Barnes, I., Dentener, F. J., Facchini, M. C., Van Dingenen, R., Ervens, B., Nenes, A., Nielsen, C. J., et al. (2005) · Atmospheric Chemistry and Physics · doi:10.5194/acp-5-1053-2005 · Cited by 3,244
A single parameter representation of hygroscopic growth and cloud condensation nucleus activity
Petters, M. D., & Kreidenweis, S. M. (2007) · Atmospheric Chemistry and Physics · doi:10.5194/acp-7-1961-2007 · Cited by 2,665
Flood or Drought: How Do Aerosols Affect Precipitation?
Rosenfeld, D., Lohmann, U., Raga, G. B., O'Dowd, C. D., Kulmala, M., Fuzzi, S., Reissell, A., & Andreae, M. O. (2008) · Science · doi:10.1126/science.1160606 · Cited by 2,188
Self-citationA large source of low-volatility secondary organic aerosol
Ehn, M., Thornton, J. A., Kleist, E., Sipilä, M., Junninen, H., Pullinen, I., Springer, M., Rubach, F., Tillmann, R., Lee, B., et al. (2014) · Nature · doi:10.1038/nature13032 · Cited by 2,009
Self-citationInternational Geomagnetic Reference Field: the eleventh generation: IGRF-11
International Association of Geomagnetism and Aeronomy, W. G. V.-M. P. M., Finlay, C. C., Maus, S., Beggan, C. D., Bondar, T. N., Chambodut, A., Chernova, T. A., Chulliat, A., Golovkov, V. P., Hamilton, B., et al. (2010) · Geophysical Journal International · doi:10.1111/j.1365-246x.2010.04804.x · Cited by 1,239
Global data set of biogenic VOC emissions calculated by the MEGAN model over the last 30 years
Sindelarova, K., Granier, C., Bouarar, I., Guenther, A., Tilmes, S., Stavrakou, T., Müller, J.-F., Kuhn, U., Stefani, P., & Knorr, W. (2014) · Atmospheric Chemistry and Physics · doi:10.5194/acp-14-9317-2014 · Cited by 1,147
Large contribution of natural aerosols to uncertainty in indirect forcing
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A., Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L. A., et al. (2013) · Nature · doi:10.1038/nature12674 · Cited by 1,115
Self-citationMolecular understanding of sulphuric acid–amine particle nucleation in the atmosphere
Almeida, J., Schobesberger, S., Kürten, A., Ortega, I. K., Kupiainen-Määttä, O., Praplan, A. P., Adamov, A., Amorim, A., Bianchi, F., Breitenlechner, M., et al. (2013) · Nature · doi:10.1038/nature12663 · Cited by 1,027
Self-citationThe aerosol-climate model ECHAM5-HAM
Stier, P., Feichter, J., Kinne, S., Kloster, S., Vignati, E., Wilson, J., Ganzeveld, L., Tegen, I., Werner, M., Balkanski, Y., et al. (2005) · Atmospheric Chemistry and Physics · doi:10.5194/acp-5-1125-2005 · Cited by 1,010
Cited by
Bianchi, F., Kurtén, T., Riva, M., Mohr, C., Rissanen, M. P., Roldin, P., Berndt, T., Crounse, J. D., Wennberg, P. O., Mentel, T. F., et al. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00395 · Cited by 1,084
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Metadata
- Authors
- Gordon, H., Kirkby, J., Baltensperger, U., Bianchi, F., Breitenlechner, M., Curtius, J., Dias, A., Dommen, J., Donahue, N. M., Dunne, E. M., Duplissy, J., Ehrhart, S., Flagan, R. C., Frege, C., Fuchs, C., Hansel, A., Hoyle, C. R., Kulmala, M., Kürten, A., Lehtipalo, K., Makhmutov, V., Molteni, U., Rissanen, M. P., Stozkhov, Y., Tröstl, J., Tsagkogeorgas, G., Wagner, R., Williamson, C., Wimmer, D., Winkler, P. M., Yan, C., & Carslaw, K. S.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2017-08-24
- Volume
- 122
- Issue
- 16
- Pages
- 8739-8760
- ISSN
- 0148-0227 (ISSN-L)
- 2169-897X
- 2169-8996
- OpenAlex
- W2727678863
- Cited by
- 478
- References
- 70
- FWCI
- 10.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Gordon, H., Kirkby, J., Baltensperger, U., Bianchi, F., Breitenlechner, M., Curtius, J., Dias, A., Dommen, J., Donahue, N. M., Dunne, E. M., Duplissy, J., Ehrhart, S., Flagan, R. C., Frege, C., Fuchs, C., Hansel, A., Hoyle, C. R., Kulmala, M., Kürten, A., . . . Carslaw, K. S. (2017). Causes and importance of new particle formation in the present‐day and preindustrial atmospheres. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1002/2017jd026844
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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