Articles | Volume 19, issue 7
Atmos. Chem. Phys., 19, 4685–4702, 2019
https://doi.org/10.5194/acp-19-4685-2019

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

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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Short summary
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.
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