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

Related authors

Invisible aerosol layers: improved lidar detection capabilities by means of laser-induced aerosol fluorescence
Benedikt Gast, Cristofer Jimenez, Albert Ansmann, Moritz Haarig, Ronny Engelmann, Felix Fritzsch, Athena A. Floutsi, Hannes Griesche, Kevin Ohneiser, Julian Hofer, Martin Radenz, Holger Baars, Patric Seifert, and Ulla Wandinger
Atmos. Chem. Phys., 25, 3995–4011, https://doi.org/10.5194/acp-25-3995-2025,https://doi.org/10.5194/acp-25-3995-2025, 2025
Short summary
Ångström exponent impact on the aerosol optical properties obtained from vibrational-rotational Raman lidar observations
Gladiola Malollari, Albert Ansmann, Holger Baars, Cristofer Jimenez, Julian Hofer, Ronny Engelmann, Nathan Skupin, and Seit Shallari
EGUsphere, https://doi.org/10.5194/egusphere-2025-1386,https://doi.org/10.5194/egusphere-2025-1386, 2025
This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).
Short summary
Life cycle studies and liquid-phase characterization of Arctic mixed-phase clouds: MOSAiC 2019–2020 results
Cristofer Jimenez, Albert Ansmann, Kevin Ohneiser, Hannes Griesche, Ronny Engelmann, Martin Radenz, Julian Hofer, Dietrich Althausen, Daniel Alexander Knopf, Sandro Dahlke, Johannes Bühl, Holger Baars, Patric Seifert, and Ulla Wandinger
EGUsphere, https://doi.org/10.5194/egusphere-2025-967,https://doi.org/10.5194/egusphere-2025-967, 2025
Short summary
Characterization of aerosol over the eastern Mediterranean by polarization-sensitive Raman lidar measurements during A-LIFE – aerosol type classification and type separation
Silke Groß, Volker Freudenthaler, Moritz Haarig, Albert Ansmann, Carlos Toledano, David Mateos, Petra Seibert, Rodanthi-Elisavet Mamouri, Argyro Nisantzi, Josef Gasteiger, Maximilian Dollner, Anne Tipka, Manuel Schöberl, Marilena Teri, and Bernadett Weinzierl
Atmos. Chem. Phys., 25, 3191–3211, https://doi.org/10.5194/acp-25-3191-2025,https://doi.org/10.5194/acp-25-3191-2025, 2025
Short summary
Discussion of the spectral slope of the lidar ratio between 355 nm and 1064 nm from multiwavelength Raman lidar observations
Moritz Haarig, Ronny Engelmann, Holger Baars, Benedikt Gast, Dietrich Althausen, and Albert Ansmann
EGUsphere, https://doi.org/10.5194/egusphere-2025-449,https://doi.org/10.5194/egusphere-2025-449, 2025
Short summary

Related subject area

Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Constraining aerosol–cloud adjustments by uniting surface observations with a perturbed parameter ensemble
August Mikkelsen, Daniel T. McCoy, Trude Eidhammer, Andrew Gettelman, Ci Song, Hamish Gordon, and Isabel L. McCoy
Atmos. Chem. Phys., 25, 4547–4570, https://doi.org/10.5194/acp-25-4547-2025,https://doi.org/10.5194/acp-25-4547-2025, 2025
Short summary
Investigating ice formation pathways using a novel two-moment multi-class cloud microphysics scheme
Tim Lüttmer, Peter Spichtinger, and Axel Seifert
Atmos. Chem. Phys., 25, 4505–4529, https://doi.org/10.5194/acp-25-4505-2025,https://doi.org/10.5194/acp-25-4505-2025, 2025
Short summary
Microphysics regimes due to haze–cloud interactions: cloud oscillation and cloud collapse
Fan Yang, Hamed Fahandezh Sadi, Raymond A. Shaw, Fabian Hoffmann, Pei Hou, Aaron Wang, and Mikhail Ovchinnikov
Atmos. Chem. Phys., 25, 3785–3806, https://doi.org/10.5194/acp-25-3785-2025,https://doi.org/10.5194/acp-25-3785-2025, 2025
Short summary
Impact of secondary ice production on thunderstorm electrification under different aerosol conditions
Shiye Huang, Jing Yang, Jiaojiao Li, Qian Chen, Qilin Zhang, and Fengxia Guo
Atmos. Chem. Phys., 25, 1831–1850, https://doi.org/10.5194/acp-25-1831-2025,https://doi.org/10.5194/acp-25-1831-2025, 2025
Short summary
Model analysis of biases in the satellite-diagnosed aerosol effect on the cloud liquid water path
Harri Kokkola, Juha Tonttila, Silvia M. Calderón, Sami Romakkaniemi, Antti Lipponen, Aapo Peräkorpi, Tero Mielonen, Edward Gryspeerdt, Timo Henrik Virtanen, Pekka Kolmonen, and Antti Arola
Atmos. Chem. Phys., 25, 1533–1543, https://doi.org/10.5194/acp-25-1533-2025,https://doi.org/10.5194/acp-25-1533-2025, 2025
Short summary

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.
Download
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.
Share
Altmetrics
Final-revised paper
Preprint