Freezing drizzle detection with WSR-88D radars

Kyoko Ikeda; Roy M. Rasmussen; Edward Brandes; Frank McDonough

doi:10.1175/2008JAMC1939.1

Freezing drizzle detection with WSR-88D radars

Kyoko Ikeda, Roy M. Rasmussen, Edward Brandes, Frank McDonough

National Center for Atmospheric Research

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

This study describes a freezing drizzle detection algorithm based on the Weather Surveillance Radar-1988 Doppler (WSR-88D) measured radar reflectivity. Although radar returns from freezing drizzle and light snow are similar-<5 dBZ and spatially uniform-freezing drizzle can be identified using feature parameters computed from radar reflectivity, such as local and global standard deviations and reflectivity texture weighted with a fuzzy-logic scheme. Algorithm results agree well with surface precipitation reports. The proposed algorithm can serve as one component of automated decision-support schemes for icing hazard detection and/or hydrometeor identification.

Original language	English
Pages (from-to)	41-60
Number of pages	20
Journal	Journal of Applied Meteorology and Climatology
Volume	48
Issue number	1
DOIs	https://doi.org/10.1175/2008JAMC1939.1
State	Published - 2009
Externally published	Yes

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title = "Freezing drizzle detection with WSR-88D radars",

abstract = "This study describes a freezing drizzle detection algorithm based on the Weather Surveillance Radar-1988 Doppler (WSR-88D) measured radar reflectivity. Although radar returns from freezing drizzle and light snow are similar-<5 dBZ and spatially uniform-freezing drizzle can be identified using feature parameters computed from radar reflectivity, such as local and global standard deviations and reflectivity texture weighted with a fuzzy-logic scheme. Algorithm results agree well with surface precipitation reports. The proposed algorithm can serve as one component of automated decision-support schemes for icing hazard detection and/or hydrometeor identification.",

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AU - Ikeda, Kyoko

AU - Rasmussen, Roy M.

AU - Brandes, Edward

AU - McDonough, Frank

PY - 2009

Y1 - 2009

N2 - This study describes a freezing drizzle detection algorithm based on the Weather Surveillance Radar-1988 Doppler (WSR-88D) measured radar reflectivity. Although radar returns from freezing drizzle and light snow are similar-<5 dBZ and spatially uniform-freezing drizzle can be identified using feature parameters computed from radar reflectivity, such as local and global standard deviations and reflectivity texture weighted with a fuzzy-logic scheme. Algorithm results agree well with surface precipitation reports. The proposed algorithm can serve as one component of automated decision-support schemes for icing hazard detection and/or hydrometeor identification.

AB - This study describes a freezing drizzle detection algorithm based on the Weather Surveillance Radar-1988 Doppler (WSR-88D) measured radar reflectivity. Although radar returns from freezing drizzle and light snow are similar-<5 dBZ and spatially uniform-freezing drizzle can be identified using feature parameters computed from radar reflectivity, such as local and global standard deviations and reflectivity texture weighted with a fuzzy-logic scheme. Algorithm results agree well with surface precipitation reports. The proposed algorithm can serve as one component of automated decision-support schemes for icing hazard detection and/or hydrometeor identification.

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DO - 10.1175/2008JAMC1939.1

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JO - Journal of Applied Meteorology and Climatology

JF - Journal of Applied Meteorology and Climatology

IS - 1

ER -

Freezing drizzle detection with WSR-88D radars

Abstract

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