The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Laboratory simulations and parameterization of the primary marine aerosol production
Open accessAbstract
A major source of the primary marine aerosol is the bursting of air bubbles produced by breaking waves. Several source parameterizations are available from the literature, usually limited to particles with a dry diameter Dp > 1 μm. The objective of this work is to extend the current knowledge to submicrometer particles. Bubbles were generated in synthetic seawater using a sintered glass filter, with a size spectra that are only partly the same spectra as measured in the field. Bubble spectra, and size distributions of the resulting aerosol (0.020–20.0 μm Dp) of the resulting aerosol, were measured for different salinity, water temperature (Tw), and bubble flux. The spectra show a minimum at ∼1 μm Dp, which separates two modes, one at ∼0.1 μm, with the largest number of particles, and one at 2.5 μm Dp. The modes show different behavior with the variation of salinity and water temperature. When the water temperature increases, the number concentration Np decreases for Dp < 0.07 μm, whereas for Dp > 0.35 μm, Np increases. The salinity effect suggests different droplet formation processes for droplets smaller and larger than 0.2 μm Dp. The number of particles produced per size increment, time unit, and whitecap surface (Φ) is described as a linear function of Tw and a polynomial function of Dp. Combining Φ with the whitecap coverage fraction W (in percent), an expression results for the primary marine aerosol source flux dF0/d log Dp = W Φ (m−2 s−1). The results are compared with other commonly used formulations as well as with recent field observations. Implications for aerosol‐induced effects on climate are discussed.
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Cites
A Model of Marine Aerosol Generation Via Whitecaps and Wave Disruption
Monahan, E. C., Spiel, D. E., & Davidson, K. L. (1986) · Oceanographic Sciences Library · doi:10.1007/978-94-009-4668-2_16 · Cited by 828
Marine aerosol, sea-salt, and the marine sulphur cycle: a short review
O'Dowd, C. D., Smith, M. H., Consterdine, I. E., & Lowe, J. A. (1997) · Atmospheric Environment · doi:10.1016/s1352-2310(96)00106-9 · Cited by 649
The electrification of the atmosphere by particles from bubbles in the sea
Blanchard, D. C. (1963) · Progress in Oceanography · doi:10.1016/0079-6611(63)90004-1 · Cited by 584
SALT NUCLEI IN MARINE AIR AS A FUNCTION OF ALTITUDE AND WIND FORCE
Woodcock, A. H. (1953) · Journal of Meteorology · doi:10.1175/1520-0469(1953)010<0366:snimaa>2.0.co;2 · Cited by 519
Influence of sea-salt on aerosol radiative properties in the Southern Ocean marine boundary layer
Murphy, D. M., Anderson, J. R., Quinn, P. K., McInnes, L. M., Brechtel, F. J., Kreidenweis, S. M., Middlebrook, A. M., Pósfai, M., Thomson, D. S., & Buseck, P. R. (1998) · Nature · doi:10.1038/32138 · Cited by 414
O'Dowd, C. D., & Smith, M. H. (1993) · Journal of Geophysical Research: Atmospheres · doi:10.1029/92jd02302 · Cited by 337
A New Sea Spray Generation Function for Wind Speeds up to 32 m s−1
Andreas, E. L. (1998) · Journal of Physical Oceanography · doi:10.1175/1520-0485(1998)028<2175:anssgf>2.0.co;2 · Cited by 304
Indirect effect of sulfate and carbonaceous aerosols: A mechanistic treatment
Lohmann, U., Feichter, J., Penner, J., & Leaitch, R. (2000) · Journal of Geophysical Research: Atmospheres · doi:10.1029/1999jd901199 · Cited by 212
The Production, Distribution, and Bacterial Enrichment of the Sea-Salt Aerosol
Blanchard, D. C. (1983) · Air-Sea Exchange of Gases and Particles · doi:10.1007/978-94-009-7169-1_7 · Cited by 205
Turbulent aerosol fluxes over the Arctic Ocean: 2. Wind‐driven sources from the sea
Nilsson, E. D., Rannik, Ü., Swietlicki, E., Leck, C., Aalto, P. P., Zhou, J., & Norman, M. (2001) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2000jd900747 · Cited by 200
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Impact of nucleation on global CCN
Merikanto, J., Spracklen, D. V., Mann, G. W., Pickering, S. J., & Carslaw, K. S. (2009) · Atmospheric Chemistry and Physics · doi:10.5194/acp-9-8601-2009 · Cited by 851
Sea Salt Aerosol Production: Mechanisms, Methods, Measurements and Models—A Critical Review
Lewis, R., & Schwartz, E. (2004) · Geophysical Monograph Series · doi:10.1029/gm152 · Cited by 658
Mann, G. W., Carslaw, K. S., Spracklen, D. V., Ridley, D. A., Manktelow, P. T., Chipperfield, M. P., Pickering, S. J., & Johnson, C. E. (2010) · Geoscientific Model Development · doi:10.5194/gmd-3-519-2010 · Cited by 538
Causes and importance of new particle formation in the present‐day and preindustrial atmospheres
Gordon, H., Kirkby, J., Baltensperger, U., Bianchi, F., Breitenlechner, M., Curtius, J., Dias, A., Dommen, J., Donahue, N. M., Dunne, E. M., et al. (2017) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2017jd026844 · Cited by 478
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Metadata
- Authors
- Mårtensson, E. M., Nilsson, E. D., de Leeuw, G., Cohen, L. H., & Hansson, H. ‐.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2003-05-15
- Volume
- 108
- Issue
- D9
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2165258746
- Cited by
- 592
- References
- 17
- FWCI
- 12.13
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Mårtensson, E. M., Nilsson, E. D., de Leeuw, G., Cohen, L. H., & Hansson, H. ‐. (2003). Laboratory simulations and parameterization of the primary marine aerosol production. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2002jd002263
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