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/amtd-3-1843-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amtd-3-1843-2010
© Author(s) 2010. This work is distributed under
the Creative Commons Attribution 3.0 License.

Submitted as:   16 Apr 2010

Submitted as:   | 16 Apr 2010

Review status
This discussion paper is a preprint. It has been under review for the journal Atmospheric Measurement Techniques (AMT). The revised manuscript was not accepted.

On differentiating ground clutter and insect echoes from Doppler weather radars using archived data

S. J. Rennie1, A. J. Illingworth1, and S. L. Dance1,2 S. J. Rennie et al.
  • 1Department of Meteorlogy, University of Reading, Reading, UK
  • 2Department of Mathematics, University of Reading, Reading, UK

Abstract. Normally wind measurements from Doppler radars rely on the presence of rain. During fine weather, insects become a potential radar target for wind measurement. However, it is difficult to separate ground clutter and insect echoes when spectral or polarimetric methods are not available. Archived reflectivity and velocity data from repeated scans provide alternative methods. The probability of detection (POD) method, which maps areas with a persistent signal as ground clutter, is ineffective when most scans also contain persistent insect echoes. We developed a clutter detection method which maps the standard deviation of velocity (SDV) over a large number of scans, and can differentiate insects and ground clutter close to the radar. Beyond the range of persistent insect echoes, the POD method more thoroughly removes ground clutter. A new, pseudo-probability clutter map was created by combining the POD and SDV maps. The new map optimised ground clutter detection without removing insect echoes.

S. J. Rennie et al.
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
S. J. Rennie et al.
S. J. Rennie et al.
Viewed  
Total article views: 931 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
501 391 39 931 42 39
  • HTML: 501
  • PDF: 391
  • XML: 39
  • Total: 931
  • BibTeX: 42
  • EndNote: 39
Views and downloads (calculated since 01 Feb 2013)
Cumulative views and downloads (calculated since 01 Feb 2013)
Cited  
Saved  
Discussed  
No discussed metrics found.
Latest update: 21 Nov 2019
Publications Copernicus
Download
Citation