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

Download

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

- Printer-friendly version

- 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 Svenja Lange on behalf of the Authors (20 Nov 2020) Author's response Manuscript

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

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.