Articles | Volume 15, issue 18
https://doi.org/10.5194/acp-15-10453-2015
https://doi.org/10.5194/acp-15-10453-2015
Research article
 | 
24 Sep 2015
Research article |  | 24 Sep 2015

Ice phase in altocumulus clouds over Leipzig: remote sensing observations and detailed modeling

M. Simmel, J. Bühl, A. Ansmann, and I. Tegen

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Cited articles

Althausen, D., Engelmann, R., Baars, H., Heese, B., Ansmann, A., Müller, D., and Komppula, M.: Portable Raman Lidar PollyXT for Automated Profiling of Aerosol Backscatter, Extinction, and Depolarization, J. Atmos. Oceanic Technol., 26, 2366–2378, 2009.
Asai, T. and Kasahara, A.: A theoretical study of compensating downward motions associated with cumulus clouds, JOURNAL OF THE ATMOSPHERIC SCIENCES, 24, 487–496, 1967.
Bauer-Pfundstein, M. R. and Görsdorf, U.: Target Separation and Classification Using Cloud Radar Doppler-Spectra, in: Proceedings of the 33rd Conference on Radar Meteorology, 2007.
Bergeron, T.: On the physics of clouds and precipitation, in: Proces verbaux de l'association de Météorologie, pp. 156–178, International Union of Geodesy and Geophysics, Lisboa, Portugal, 1935.
Bühl, J., Ansmann, A., Seifert, P., Baars, H., and Engelmann, R.: Toward a quantitative characterization of heterogeneous ice formation with lidar/radar: Comparison of CALIPSO/CloudSat with ground-based observations, Geophys. Res. Lett., 40, 4404–4408, 2013.
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Short summary
The paper combines remote sensing observations and detailed cloud modeling. It was shown that the main features of the observations could be captured which allows one to perform sensitivity studies. Those show that the liquid phase is mainly determined by the dynamical parameters of the model, whereas the ice phase is dominated by microphysical parameters such as ice nuclei number and ice particle shape.
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