Articles | Volume 12, issue 9
Atmos. Meas. Tech., 12, 4813–4828, 2019
https://doi.org/10.5194/amt-12-4813-2019

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

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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Martin Radenz on behalf of the Authors (16 Jul 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Jul 2019) by Matthew Shupe
RR by Anonymous Referee #1 (30 Jul 2019)
RR by Maximilian Maahn (10 Aug 2019)
ED: Publish subject to minor revisions (review by editor) (11 Aug 2019) by Matthew Shupe
AR by Martin Radenz on behalf of the Authors (13 Aug 2019)  Author's response    Manuscript
ED: Publish as is (14 Aug 2019) by Matthew Shupe
AR by Martin Radenz on behalf of the Authors (15 Aug 2019)  Author's response    Manuscript
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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.