Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4813-2019
https://doi.org/10.5194/amt-12-4813-2019
Research article
 | 
10 Sep 2019
Research article |  | 10 Sep 2019

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

Martin Radenz, Johannes Bühl, Patric Seifert, Hannes Griesche, and Ronny Engelmann

Data sets

Upper air soundings during POLARSTERN cruise PS106.2 (ARK-XXXI/1.2) H. Schmithüsen https://doi.org/10.1594/PANGAEA.882843

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) N. Bharadwaj, A. Matthews, D. Nelson, I. Lindenmaier, B. Isom, J. Hardin, and K. Johnson https://doi.org/10.5439/1025218

Model code and software

peakTree version of Aug2019 M. Radenz, J. Bühl, and P. Seifert https://doi.org/10.5281/zenodo.3369295

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Short summary
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.