Hydrometeor classification from polarimetric radar measurements:  a clustering approach

Grazioli, J.; Tuia, D.; Berne, A.

doi:https://doi.org/10.5194/amt-8-149-2015

Articles | Volume 8, issue 1

https://doi.org/10.5194/amt-8-149-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/amt-8-149-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 1

Research article

|

09 Jan 2015

Research article |

| 09 Jan 2015

Hydrometeor classification from polarimetric radar measurements: a clustering approach

J. Grazioli, D. Tuia, and A. Berne

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Final revised paper (published on 09 Jan 2015)
Preprint (discussion started on 19 Aug 2014)

Interactive discussion

Status: closed

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

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- Supplement

RC C2470: 'Review of Manuscript', Anonymous Referee #1, 05 Sep 2014
- AC C3695: 'Responses to Reviewers', Alexis Berne, 12 Nov 2014
RC C2475: 'follow up to previous anonymous review - manuscript technical revisions and science notes', Anonymous Referee #1, 05 Sep 2014
- AC C3696: 'Responses to Reviewers', Alexis Berne, 12 Nov 2014
RC C2528: 'reviewing Grazioli et al 2014', Anonymous Referee #2, 08 Sep 2014
- AC C3697: 'Responses to Reviewers', Alexis Berne, 12 Nov 2014
RC C2965: 'Review of Grazioli et al.', Earl e Williams, 01 Oct 2014
- AC C3698: 'Responses to Reviewers', Alexis Berne, 12 Nov 2014

Short summary

A new approach for hydrometeor classification from polarimetric radar measurements is proposed. It takes adavantage of clustering techniques to objectively determine the number of hydrometeor classes that can be reliably identified. The proposed method is tested using observations from an X-band polarimetric radar in different regions and evaluated by comparison with existing algorithms and with measurements from a ground-based 2D video disdrometer (providing 2-D views of falling hydrometeors).