Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.400 IF 3.400
  • IF 5-year value: 3.841 IF 5-year
    3.841
  • CiteScore value: 3.71 CiteScore
    3.71
  • SNIP value: 1.472 SNIP 1.472
  • IPP value: 3.57 IPP 3.57
  • SJR value: 1.770 SJR 1.770
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 70 Scimago H
    index 70
  • h5-index value: 49 h5-index 49
Discussion papers
https://doi.org/10.5194/amt-2019-337
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-2019-337
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: research article 20 Sep 2019

Submitted as: research article | 20 Sep 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Atmospheric Measurement Techniques (AMT).

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

Shuai Zhang1,2, Xingyou Huang1, Jinzhong Min2, and Hengheng Zhang1 Shuai Zhang et al.
  • 1School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, China
  • 2School of Atmospheric Sciences, Nanjing University of Information Science and Technology, Nanjing, China

Abstract. In order to obtain better performance of meteorological applications, it is necessary to distinguish radar echoes from meteorological and non-meteorological targets. After the comprehensive analysis of the computational efficiency and radar system characteristics, a fuzzy logic method similar to the MetSignal algorithm is adopted, but its performance is improved significantly in weak signal regions where polarimetric variables are severely affected by noise. In addition, post-processing is adjusted to prevent anomalous propagation at far range to be misclassified as meteorological echo. Moreover, an additional fuzzy logic echo classifier is introduced into post-processing to suppress misclassification in the melting layer. An independent test set is selected to evaluate algorithm performance, and the statistical results show that the performance of the algorithm has been significantly improved, especially with respect to the classification of meteorological echoes in weak signal regions.

Shuai Zhang et al.
Interactive discussion
Status: open (until 15 Nov 2019)
Status: open (until 15 Nov 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Shuai Zhang et al.
Shuai Zhang et al.
Viewed  
Total article views: 169 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
130 34 5 169 3 2 0
  • HTML: 130
  • PDF: 34
  • XML: 5
  • Total: 169
  • Supplement: 3
  • BibTeX: 2
  • EndNote: 0
Views and downloads (calculated since 20 Sep 2019)
Cumulative views and downloads (calculated since 20 Sep 2019)
Viewed (geographical distribution)  
Total article views: 133 (including HTML, PDF, and XML) Thereof 132 with geography defined and 1 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 19 Oct 2019
Publications Copernicus
Download
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 region.
The discrimination between meteorological and non-meteorological echoes is necessary to obtain...
Citation