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Title: Image muting of mixed precipitation to improve identification of regions of heavy snow in radar data
Abstract. In winter storms, enhanced radar reflectivity is often associated with heavy snow. However, some higher reflectivities are the result of mixed precipitation including melting snow. The correlation coefficient (a dual-polarization radar variable) can identify regions of mixed precipitation, but this information is usually presented separately from reflectivity. Especially under time pressure, radar data users 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 de-emphasizes the high reflectivity values associated with mixed precipitation. These image muted depictions of winter storm precipitation structures are useful for analyzing regions of heavy snow and monitoring real-time weather conditions.  more » « less
Award ID(s):
1905736
PAR ID:
10473822
Author(s) / Creator(s):
; ; ;
Publisher / Repository:
European Geophysical Union
Date Published:
Journal Name:
Atmospheric Measurement Techniques
Volume:
15
Issue:
18
ISSN:
1867-8548
Page Range / eLocation ID:
5515 to 5525
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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