Preprints
https://doi.org/10.5194/amt-2022-160
https://doi.org/10.5194/amt-2022-160
 
20 May 2022
20 May 2022
Status: this preprint is currently under review for the journal AMT.

Image Muting of Mixed Precipitation to Improve Identification of Regions of Heavy Snow in Radar Data

Laura M. Tomkins1, Sandra E. Yuter1,2, Matthew A. Miller2, and Luke R. Allen1 Laura M. Tomkins et al.
  • 1Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, 27695, USA
  • 2Department of Marine, Earth and Atmospheric Science, North Carolina State University, Raleigh, NC, 27695, USA

Abstract. In winter storms, enhanced radar reflectivity is often associated with heavy snow; however, some higher reflectivities are the result of melting and mixed precipitation. The correlation coefficient (a dual-polarization radar variable) can identify regions of and mixed precipitation, but this information is usually presented separately from reflectivity. Especially under time pressure, even experienced meteorologists can mistake regions of mixed precipitation for heavy snow because of the high cognitive load associated with comparing data in two fields while simultaneously attempting to discount a portion of the high reflectivity values. We developed an image muting method for regional radar maps that visually deemphasizes the high reflectivity values associated with mixed precipitation. These image muted depictions of winter storm precipitation structures are useful for monitoring real-time weather conditions and for analyzing storms.

Laura M. Tomkins et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2022-160', Anonymous Referee #1, 11 Jun 2022
  • RC2: 'Comment on amt-2022-160', Anonymous Referee #2, 22 Jun 2022

Laura M. Tomkins et al.

Video supplement

Figures for Image Muting of Mixed Precipitation to Improve Identification of Regions of Heavy Snow in Radar Data Laura Tomkins https://av.tib.eu/series/1228

Laura M. Tomkins et al.

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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 deemphasize regions of mixed precipitation. Visual muting is valuable for analyzing and monitoring evolving weather conditions during winter storm events.