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.

Viewed

Total article views: 1,543 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,084 428 31 1,543 24 20
  • HTML: 1,084
  • PDF: 428
  • XML: 31
  • Total: 1,543
  • BibTeX: 24
  • EndNote: 20
Views and downloads (calculated since 20 Sep 2019)
Cumulative views and downloads (calculated since 20 Sep 2019)

Viewed (geographical distribution)

Total article views: 1,349 (including HTML, PDF, and XML) Thereof 1,341 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Aug 2022
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 regions.