Articles | Volume 8, issue 10
https://doi.org/10.5194/amt-8-3985-2015
https://doi.org/10.5194/amt-8-3985-2015
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

Viewed

Total article views: 3,748 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,421 2,133 194 3,748 94 101
  • HTML: 1,421
  • PDF: 2,133
  • XML: 194
  • Total: 3,748
  • BibTeX: 94
  • EndNote: 101
Views and downloads (calculated since 18 May 2015)
Cumulative views and downloads (calculated since 18 May 2015)

Cited

Saved (final revised paper)

Latest update: 27 Mar 2024
Download
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.