Articles | Volume 19, issue 7
Research article
 | Highlight paper
08 Apr 2019
Research article | Highlight paper |  | 08 Apr 2019

A new description of probability density distributions of polar mesospheric clouds

Uwe Berger, Gerd Baumgarten, Jens Fiedler, and Franz-Josef Lübken

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Local time dependence of polar mesospheric clouds: a model study
Francie Schmidt, Gerd Baumgarten, Uwe Berger, Jens Fiedler, and Franz-Josef Lübken
Atmos. Chem. Phys., 18, 8893–8908,,, 2018
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NOy production, ozone loss and changes in net radiative heating due to energetic particle precipitation in 2002–2010
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Impact of particle shape on the morphology of noctilucent clouds
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Subject: Clouds and Precipitation | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Mesosphere | Science Focus: Physics (physical properties and processes)
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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,, 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,, 2015. a
Baumgarten, G.: ALOMAR RMR lidar NLC particle properties at peak of layer, available at:, 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,, 2007. a
Baumgarten, G. and Fiedler, J.: Vertical structure of particle properties and water content in noctilucent clouds, J. Geophys. Res. Lett., 35, L10811,, 2008. 
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.
Final-revised paper