Articles | Volume 12, issue 9
https://doi.org/10.5194/amt-12-4813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-4813-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Sep 2019
Research article |
| 10 Sep 2019
| 10 Sep 2019
peakTree: a framework for structure-preserving radar Doppler spectra analysis
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Johannes Bühl
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Patric Seifert
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Hannes Griesche
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
Ronny Engelmann
Leibniz Institute for Tropospheric Research (TROPOS), Leipzig, Germany
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Total article views: 2,206 (including HTML, PDF, and XML)
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- Cloud micro- and macrophysical properties from ground-based remote sensing during the MOSAiC drift experiment H. Griesche et al. 10.1038/s41597-024-03325-w
- Distinct secondary ice production processes observed in radar Doppler spectra: insights from a case study A. Billault-Roux et al. 10.5194/acp-23-10207-2023
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- Application of the shipborne remote sensing supersite OCEANET for profiling of Arctic aerosols and clouds during <i>Polarstern</i> cruise PS106 H. Griesche et al. 10.5194/amt-13-5335-2020
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Latest update: 17 Jul 2024
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.
Clouds may be composed of more than one particle population even at the smallest scales. Cloud...
