Articles | Volume 13, issue 2
Atmos. Meas. Tech., 13, 537–551, 2020
https://doi.org/10.5194/amt-13-537-2020
Atmos. Meas. Tech., 13, 537–551, 2020
https://doi.org/10.5194/amt-13-537-2020

Research article 07 Feb 2020

Research article | 07 Feb 2020

Improved fuzzy logic method to distinguish between meteorological and non-meteorological echoes using C-band polarimetric radar data

Shuai Zhang et al.

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Shuai Zhang on behalf of the Authors (23 Nov 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Nov 2019) by Gianfranco Vulpiani
RR by Anonymous Referee #1 (16 Dec 2019)
RR by Anonymous Referee #2 (23 Dec 2019)
ED: Publish subject to minor revisions (review by editor) (27 Dec 2019) by Gianfranco Vulpiani
AR by Shuai Zhang on behalf of the Authors (28 Dec 2019)  Author's response    Manuscript
ED: Publish as is (10 Jan 2020) by Gianfranco Vulpiani
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Short summary
The discrimination between meteorological and non-meteorological echoes is necessary to obtain better meteorological application performance. However, the widely used algorithms have high expectations for polarimetric data, which have similar characteristics between meteorological and non-meteorological echoes in the weak-signal regions. Therefore, an improved fuzzy logic method is proposed in this paper to improve the classification performance in weak-signal regions.