Fuzzy logic filtering of radar reflectivity to remove non-meteorological  echoes using dual polarization radar moments

Dufton, D. R. L.; Collier, C. G.

doi:https://doi.org/10.5194/amt-8-3985-2015

Articles | Volume 8, issue 10

https://doi.org/10.5194/amt-8-3985-2015

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

https://doi.org/10.5194/amt-8-3985-2015

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

Articles | Volume 8, issue 10

Research article

|

01 Oct 2015

Research article |

| 01 Oct 2015

Fuzzy logic filtering of radar reflectivity to remove non-meteorological echoes using dual polarization radar moments

D. R. L. Dufton and C. G. Collier

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Final revised paper (published on 01 Oct 2015)
Preprint (discussion started on 18 May 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C1427: 'One more subjective fuzzy logic technique', V. Lakshmanan, 04 Jun 2015
- AC C2167: 'Reply to: RC C1427: 'One more subjective fuzzy logic technique', V. Lakshmanan, 04 Jun 2015', David Dufton, 22 Jul 2015
RC C1642: 'Referee comments', Anonymous Referee #2, 22 Jun 2015
- AC C2173: 'Reply to: RC C1642: 'Referee comments', Anonymous Referee #2, 22 Jun 2015', David Dufton, 22 Jul 2015
RC C2300: 'Referee comments', Anonymous Referee #3, 30 Jul 2015
- AC C2406: 'Reply to: RC C2300: 'Referee comments', Anonymous Referee #3, 30 Jul 2015', David Dufton, 04 Aug 2015
AC C2415: 'Paper revision as response to reviewers comments', David Dufton, 04 Aug 2015

Short summary

This paper describes a radar echo classification scheme, used to identify and remove non-meteorlogical echoes from X-band radar data. The classifier uses fuzzy logic to incorporate multiple radar moments, including linear texture fields, into the decision scheme. The scheme is trained on a limited subset of data from a short field deployment. The feasibility of the scheme is then demonstrated with a range of examples from two field deployments in the UK.