Articles | Volume 17, issue 3
https://doi.org/10.5194/amt-17-999-2024
https://doi.org/10.5194/amt-17-999-2024
Research article
 | 
12 Feb 2024
Research article |  | 12 Feb 2024

Determination of the vertical distribution of in-cloud particle shape using SLDR-mode 35 GHz scanning cloud radar

Audrey Teisseire, Patric Seifert, Alexander Myagkov, Johannes Bühl, and Martin Radenz

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Cited articles

Ansmann, A., Mamouri, R.-E., Hofer, J., Baars, H., Althausen, D., and Abdullaev, S. F.: Dust mass, cloud condensation nuclei, and ice-nucleating particle profiling with polarization lidar: updated POLIPHON conversion factors from global AERONET analysis, Atmos. Meas. Tech., 12, 4849–4865, https://doi.org/10.5194/amt-12-4849-2019, 2019. a, b, c, d
Avramov, A. and Harrington, J. Y.: Influence of parameterized ice habit on simulated mixed phase Arctic clouds, J. Geophys. Res.-Atmos., 115, D03205, https://doi.org/10.1029/2009JD012108, 2010. a
Bailey, M. P. and Hallett, J.: A Comprehensive Habit Diagram for Atmospheric Ice Crystals: Confirmation from the Laboratory, AIRS II, and Other Field Studies, J. Atmos. Sci., 66, 2888–2899, https://doi.org/10.1175/2009JAS2883.1, 2009. a, b
Brdar, S. and Seifert, A.: McSnow: A Monte-Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space, J. Adv. Model. Earth Syst., 10, 187–206, https://doi.org/10.1002/2017MS001167, 2018. a
Bringi, V. and Chandrasekar, V.: Polarimetric Doppler Weather Radar: Principles and Applications, ISBN 9780521623841, Revised ed. Edition (8. September 2005), https://doi.org/10.1017/CBO9780511541094, Cambridge University Press, 2001. a, b
Short summary
The vertical distribution of particle shape (VDPS) method, introduced in this study, aids in characterizing the density-weighted shape of cloud particles from scanning slanted linear depolarization ratio (SLDR)-mode cloud radar observations. The VDPS approach represents a new, versatile way to study microphysical processes by combining a spheroidal scattering model with real measurements of SLDR.
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