Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 15, issue 18
Articles | Volume 15, issue 18
https://doi.org/10.5194/amt-15-5515-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-15-5515-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 18
Research article
 | 
28 Sep 2022
Research article |  | 28 Sep 2022

Image muting of mixed precipitation to improve identification of regions of heavy snow in radar data

Laura M. Tomkins, Sandra E. Yuter, Matthew A. Miller, and Luke R. Allen

Viewed

Total article views: 3,081 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,272 720 89 3,081 103 132
  • HTML: 2,272
  • PDF: 720
  • XML: 89
  • Total: 3,081
  • BibTeX: 103
  • EndNote: 132
Views and downloads (calculated since 20 May 2022)
Cumulative views and downloads (calculated since 20 May 2022)

Viewed (geographical distribution)

Total article views: 3,081 (including HTML, PDF, and XML) Thereof 3,047 with geography defined and 34 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Jan 2026
Download
Short summary
Locally higher radar reflectivity values in winter storms can mean more snowfall or a transition from snow to mixtures of snow, partially melted snow, and/or rain. We use the correlation coefficient to de-emphasize regions of mixed precipitation. Visual muting is valuable for analyzing and monitoring evolving weather conditions during winter storm events.
Read more
Share