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A parameterization of cirrus cloud formation: Homogeneous freezing of supercooled aerosols
Abstract
The nucleation and initial growth of ice crystals in cirrus clouds at low (<235 K) temperatures prevailing in the upper troposphere and in the tropopause region is theoretically considered. The analysis explains the dependence of the number density of ice crystals on the vertical velocity and temperature seen in numerical simulations of cirrus formation when the timescale of depositional growth of the pristine ice particles is fast compared to the timescale of the freezing event. In such cases, applicable in many situations, the number of crystals formed via homogeneous freezing of aqueous solution droplets is rather insensitive to details of the aerosol size distribution, but increases rapidly with updraft velocity and decreases with temperature. The derived parameterization is validated with parcel model simulations, and its applicability for use in climate models is discussed. The potential role of aerosol size and heterogeneous freezing processes in altering the predicted cirrus properties is briefly addressed.
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Cites
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422
Oceanic phytoplankton, atmospheric sulphur, cloud albedo and climate
Charlson, R. J., Lovelock, J. E., Andreae, M. O., & Warren, S. G. (1987) · Nature · doi:10.1038/326655a0 · Cited by 4,305
Ice formation by black carbon particles
DeMott, P. J., Chen, Y., Kreidenweis, S. M., Rogers, D. C., & Sherman, D. E. (1999) · Geophysical Research Letters · doi:10.1029/1999gl900580 · Cited by 208
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Review of the global models used within phase 1 of the Chemistry–Climate Model Initiative (CCMI)
Morgenstern, O., Hegglin, M. I., Rozanov, E., O'Connor, F. M., Abraham, N. L., Akiyoshi, H., Archibald, A. T., Bekki, S., Butchart, N., Chipperfield, M. P., et al. (2017) · Geoscientific Model Development · doi:10.5194/gmd-10-639-2017 · Cited by 401
A microphysics guide to cirrus clouds – Part 1: Cirrus types
Krämer, M., Rolf, C., Luebke, A., Afchine, A., Spelten, N., Costa, A., Meyer, J., Zöger, M., Smith, J., Herman, R. L., et al. (2016) · Atmospheric Chemistry and Physics · doi:10.5194/acp-16-3463-2016 · Cited by 294
Large‐eddy simulations over Germany using ICON: a comprehensive evaluation
Heinze, R., Dipankar, A., Henken, C. C., Moseley, C., Sourdeval, O., Trömel, S., Xie, X., Adamidis, P., Ament, F., Baars, H., et al. (2017) · Quarterly Journal of the Royal Meteorological Society · doi:10.1002/qj.2947 · Cited by 293
Voigt, C., Schumann, U., Minikin, A., Abdelmonem, A., Afchine, A., Borrmann, S., Boettcher, M., Buchholz, B., Bugliaro, L., Costa, A., et al. (2017) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-15-00213.1 · Cited by 266
Pitari, G., Aquila, V., Kravitz, B., Robock, A., Watanabe, S., Cionni, I., Luca, N. D., Genova, G. D., Mancini, E., & Tilmes, S. (2014) · Journal of Geophysical Research: Atmospheres · doi:10.1002/2013jd020566 · Cited by 196
Metadata
- Authors
- Kärcher, B., & Lohmann, U.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2002-01-17
- Volume
- 107
- Issue
- D2
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W1626331569
- Cited by
- 348
- References
- 3
- FWCI
- 8.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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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