Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method

Lukach, Maryna; Dufton, David; Crosier, Jonathan; Hampton, Joshua M.; Bennett, Lindsay; Neely III, Ryan R.

doi:https://doi.org/10.5194/amt-14-1075-2021

Articles | Volume 14, issue 2

https://doi.org/10.5194/amt-14-1075-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-14-1075-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 2

Research article

|

10 Feb 2021

Research article |

| 10 Feb 2021

Hydrometeor classification of quasi-vertical profiles of polarimetric radar measurements using a top-down iterative hierarchical clustering method

Maryna Lukach, David Dufton, Jonathan Crosier, Joshua M. Hampton, Lindsay Bennett, and Ryan R. Neely III

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Final revised paper (published on 10 Feb 2021)
Preprint (discussion started on 20 May 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review Lukach et al', Anonymous Referee #1, 11 Jun 2020
- AC1: 'Authors’ responses to reviewer #1 comments', Maryna Lukach, 20 Oct 2020
RC2: 'Comment', Anonymous Referee #2, 23 Jun 2020
- AC2: 'Authors’ responses to reviewer #2 comments', Maryna Lukach, 20 Oct 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Maryna Lukach on behalf of the Authors (21 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (22 Oct 2020) by Gianfranco Vulpiani

RR by Anonymous Referee #1 (22 Oct 2020)

RR by Anonymous Referee #2 (09 Nov 2020)

ED: Publish subject to minor revisions (review by editor) (09 Nov 2020) by Gianfranco Vulpiani

AR by Maryna Lukach on behalf of the Authors (19 Nov 2020)

ED: Publish as is (30 Nov 2020) by Gianfranco Vulpiani

AR by Maryna Lukach on behalf of the Authors (08 Dec 2020)

Short summary

This paper presents a novel technique of data-driven hydrometeor classification (HC) from quasi-vertical profiles, where the hydrometeor types are identified from an optimal number of hierarchical clusters, obtained recursively. This data-driven HC approach is capable of providing an optimal number of classes from dual-polarimetric weather radar observations. The embedded flexibility in the extent of granularity is the main advantage of this technique.