peakTree: a framework for structure-preserving radar Doppler spectra analysis
<p>Clouds are frequently composed of more than one particle population even at the smallest scales. Cloud radar observations frequently contain information on multiple particle species in the observation volume when there are distinct peaks in the Doppler spectrum. Multi-peaked situations are...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2019-09-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://www.atmos-meas-tech.net/12/4813/2019/amt-12-4813-2019.pdf |
| _version_ | 1819274193779294208 |
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| author | M. Radenz J. Bühl P. Seifert H. Griesche R. Engelmann |
| author_facet | M. Radenz J. Bühl P. Seifert H. Griesche R. Engelmann |
| author_sort | M. Radenz |
| collection | DOAJ |
| description | <p>Clouds are frequently composed of more than one particle population even at the smallest scales. Cloud radar observations frequently contain information on multiple particle species in the observation volume when there are distinct peaks in the Doppler spectrum. Multi-peaked situations are not taken into account by established algorithms, which only use moments of the Doppler spectrum. In this study, we propose a new algorithm that recursively represents the subpeaks as nodes in a binary tree. Using this tree data structure to represent the peaks of a Doppler spectrum, it is possible to drop all a priori assumptions on the number and arrangement of subpeaks. The approach is rigid, unambiguous and can provide a basis for advanced analysis methods.
The applicability is briefly demonstrated in two case studies, in which the tree structure was used to investigate particle populations in Arctic multilayered mixed-phase clouds, which were observed during the research vessel <i>Polarstern</i> expedition PS106 and the Atmospheric Radiation Measurement Program BAECC campaign.</p> |
| first_indexed | 2024-12-23T23:04:33Z |
| format | Article |
| id | doaj.art-058ae6023ae54f19a677810c94812cf3 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-12-23T23:04:33Z |
| publishDate | 2019-09-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-058ae6023ae54f19a677810c94812cf32022-12-21T17:26:50ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482019-09-01124813482810.5194/amt-12-4813-2019peakTree: a framework for structure-preserving radar Doppler spectra analysisM. RadenzJ. BühlP. SeifertH. GriescheR. Engelmann<p>Clouds are frequently composed of more than one particle population even at the smallest scales. Cloud radar observations frequently contain information on multiple particle species in the observation volume when there are distinct peaks in the Doppler spectrum. Multi-peaked situations are not taken into account by established algorithms, which only use moments of the Doppler spectrum. In this study, we propose a new algorithm that recursively represents the subpeaks as nodes in a binary tree. Using this tree data structure to represent the peaks of a Doppler spectrum, it is possible to drop all a priori assumptions on the number and arrangement of subpeaks. The approach is rigid, unambiguous and can provide a basis for advanced analysis methods. The applicability is briefly demonstrated in two case studies, in which the tree structure was used to investigate particle populations in Arctic multilayered mixed-phase clouds, which were observed during the research vessel <i>Polarstern</i> expedition PS106 and the Atmospheric Radiation Measurement Program BAECC campaign.</p>https://www.atmos-meas-tech.net/12/4813/2019/amt-12-4813-2019.pdf |
| spellingShingle | M. Radenz J. Bühl P. Seifert H. Griesche R. Engelmann peakTree: a framework for structure-preserving radar Doppler spectra analysis Atmospheric Measurement Techniques |
| title | peakTree: a framework for structure-preserving radar Doppler spectra analysis |
| title_full | peakTree: a framework for structure-preserving radar Doppler spectra analysis |
| title_fullStr | peakTree: a framework for structure-preserving radar Doppler spectra analysis |
| title_full_unstemmed | peakTree: a framework for structure-preserving radar Doppler spectra analysis |
| title_short | peakTree: a framework for structure-preserving radar Doppler spectra analysis |
| title_sort | peaktree a framework for structure preserving radar doppler spectra analysis |
| url | https://www.atmos-meas-tech.net/12/4813/2019/amt-12-4813-2019.pdf |
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