| contributor author | Ikeda, Kyoko | |
| contributor author | Rasmussen, Roy M. | |
| contributor author | Brandes, Edward | |
| contributor author | McDonough, Frank | |
| date accessioned | 2017-06-09T16:22:28Z | |
| date available | 2017-06-09T16:22:28Z | |
| date copyright | 2009/01/01 | |
| date issued | 2009 | |
| identifier issn | 1558-8424 | |
| identifier other | ams-66692.pdf | |
| identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4208056 | |
| description 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. | |
| publisher | American Meteorological Society | |
| title | Freezing Drizzle Detection with WSR-88D Radars | |
| type | Journal Paper | |
| journal volume | 48 | |
| journal issue | 1 | |
| journal title | Journal of Applied Meteorology and Climatology | |
| identifier doi | 10.1175/2008JAMC1939.1 | |
| journal fristpage | 41 | |
| journal lastpage | 60 | |
| tree | Journal of Applied Meteorology and Climatology:;2009:;volume( 048 ):;issue: 001 | |
| contenttype | Fulltext | |
