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
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;
Conference_Titel :
Electrical and Computer Engineering, 1999 IEEE Canadian Conference on
Conference_Location :
Edmonton, Alberta, Canada
Print_ISBN :
0-7803-5579-2
DOI :
10.1109/CCECE.1999.808201