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ACP | Articles | Volume 19, issue 7
Atmos. Chem. Phys., 19, 4685-4702, 2019
https://doi.org/10.5194/acp-19-4685-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Layered phenomena in the mesopause region (ACP/AMT inter-journal...

Atmos. Chem. Phys., 19, 4685-4702, 2019
https://doi.org/10.5194/acp-19-4685-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 08 Apr 2019

Research article | 08 Apr 2019

A new description of probability density distributions of polar mesospheric clouds

Uwe Berger et al.
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Cited articles  
Bailey, S. M., Merkel, A. W., Thomas G. E., and Rusch, D. W.: Hemispheric differences in Polar Mesospheric Cloud morphology observed by the Student Nitric Oxide Explorer, J. Atmos. Sol. Terr. Phys., 69, 1407–1418, https://doi.org/10.1016/j.jastp.2007.02.008, 2007. a
Bailey, S. M., Thomas, G. E., Hervig, M. E., Lumpe, J. D., Randall, C. E., Carstens, J. N., Thurairajah, B. T., Rusch, D. W., Russell III, J. M., and Gordley, L. L.: Comparing nadir and limb observations of polar mesospheric clouds: The effect of the assumed particle size distribution, J. Atmos. Sol. Terr. Phys., 127, 51–65, https://doi.org/10.1016/j.jastp.2015.02.007, 2015. a
Baumgarten, G.: ALOMAR RMR lidar NLC particle properties at peak of layer, available at: ftp://ftp.iap-kborn.de/data-in-publications/BergerACP2019/, last access: 1 April 2019. a
Baumgarten, G., Fiedler, J., and von Cossart, G.: The size of noctilucent cloud particles above ALOMAR (69 N): Optical modeling and method description, Adv. Space Res., 40, 772–784, https://doi.org/10.1016/j.asr.2007.01.018, 2007. a
Baumgarten, G. and Fiedler, J.: Vertical structure of particle properties and water content in noctilucent clouds, J. Geophys. Res. Lett., 35, L10811, https://doi.org/10.1029/2007GL033084, 2008. 
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In this paper we present a new description of statistical probability density functions (pdfs) of polar mesospheric clouds (PMC). We derive a new class of pdfs that describes successfully the probability statistic of ALOMAR lidar observations of different ice parameters. As a main advantage the new method allows us to connect different observational PMC distributions of lidar and satellite data, and also to compare with distributions from ice model studies.
In this paper we present a new description of statistical probability density functions (pdfs)...
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