DocumentCode
348008
Title
Classification of volumetric storm cell patterns
Author
Alexiuk, M. ; Pizzi, N. ; Pedrycz, W.
Author_Institution
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
Volume
2
fYear
1999
fDate
9-12 May 1999
Firstpage
1081
Abstract
Meteorological volumetric radar data are used to detect thunderstorms, storm events responsible for nearly all severe summer weather. Discriminating between different types of thunderstorms is challenge due to the high dimensionality of the data, the paucity of labeled data, and the imprecision of the labels. Several classification strategies and preprocessing techniques are tested to facilitate the discrimination between four types of storm events: wind, heavy rain, tornado and hail.
Keywords
geophysics computing; meteorological radar; meteorology; pattern classification; radar computing; thunderstorms; classification strategies; hail; heavy rain; meteorological volumetric radar data; preprocessing techniques; radar data processing system; severe summer weather; storm events; thunderstorms; tornado; volumetric storm cell patterns; wind; Data engineering; Meteorological radar; Meteorology; Radar antennas; Radar detection; Rain; Reflectivity; Storms; Tornadoes; Wind;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location
Edmonton, Alberta, Canada
ISSN
0840-7789
Print_ISBN
0-7803-5579-2
Type
conf
DOI
10.1109/CCECE.1999.808201
Filename
808201
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