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AMT | Articles | Volume 12, issue 9
Atmos. Meas. Tech., 12, 4813–4828, 2019
https://doi.org/10.5194/amt-12-4813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Arctic mixed-phase clouds as studied during the ACLOUD/PASCAL...

Atmos. Meas. Tech., 12, 4813–4828, 2019
https://doi.org/10.5194/amt-12-4813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 10 Sep 2019

Research article | 10 Sep 2019

peakTree: a framework for structure-preserving radar Doppler spectra analysis

Martin Radenz et al.

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Baumgardner, D., Abel, S. J., Axisa, D., Cotton, R., Crosier, J., Field, P., Gurganus, C., Heymsfield, A., Korolev, A., Krämer, M., Lawson, P., McFarquhar, G., Ulanowski, Z., and Um, J.: Cloud Ice Properties: In Situ Measurement Challenges, Meteor. Mon., 58, 9.1–9.23, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0011.1, 2017. a
Bharadwaj, N., Matthews, A., Nelson, D., Lindenmaier, I., Isom, B., Hardin, J., and Johnson, K.: Atmospheric Radiation Measurement (ARM) user facility, updated hourly, Ka ARM Zenith Radar (KAZRSPECCMASKGECOPOL), 2014-02-02 to 2014-02-03, ARM Mobile Facility (TMP) U. of Helsinki Research Station (SMEAR II), Hyytiala, Finland; AMF2 (M1), https://doi.org/10.5439/1025218, 2014. a
Bühl, J., Seifert, P., Myagkov, A., and Ansmann, A.: Measuring ice- and liquid-water properties in mixed-phase cloud layers at the Leipzig Cloudnet station, Atmos. Chem. Phys., 16, 10609–10620, https://doi.org/10.5194/acp-16-10609-2016, 2016. a, b
Bühl, J., Alexander, S., Crewell, S., Heymsfield, A., Kalesse, H., Khain, A., Maahn, M., Van Tricht, K., and Wendisch, M.: Remote Sensing, Meteor. Mon., 58, 10.1–10.21, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0015.1, 2017. a
Carter, D. A., Gage, K. S., Ecklund, W. L., Angevine, W. M., Johnston, P. E., Riddle, A. C., Wilson, J., and Williams, C. R.: Developments in UHF lower tropospheric wind profiling at NOAA's Aeronomy Laboratory, Radio Sci., 30, 977–1001, https://doi.org/10.1029/95RS00649, 1995. a
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Clouds may be composed of more than one particle population even at the smallest scales. Cloud radar observations can contain information on multiple particle species, showing up as distinct peaks and subpeaks in the Doppler spectrum. We propose the use of binary tree structures to recursively structure these peaks. Two case studies from different locations and instruments illustrate how this approach can be used to disentangle particle populations in multilayered mixed-phase clouds.
Clouds may be composed of more than one particle population even at the smallest scales. Cloud...
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