Open AccessA new radar‐based storm identification and warning technique
Author(s) -
Li Nan,
Wei Ming,
Niu Ben,
Mu Xiyu
Publication year - 2012
Publication title -
meteorological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.672
H-Index - 59
eISSN - 1469-8080
pISSN - 1350-4827
DOI - 10.1002/met.249
Subject(s) - storm , identification (biology) , warning system , computer science , support vector machine , radar , meteorology , environmental science , machine learning , geography , telecommunications , botany , biology
A new storm identification and warning technique is proposed which exclusively uses radar data as input. The new identification method assembles contiguous storm points to constitute 2D storm components and improve the vertical association of storm components to construct 3D storms, which can overcome the deficiencies existing in traditional identification methods. Based on the evolution properties and characteristic distributions, strong storms and general storms are specified to train support vector machines (SVMs) which then can be used to discriminate storms. The performance of the SVM shows that it can indicate the intensity and development of a storm, providing an important aid in severe weather warning. Copyright © 2011 Royal Meteorological Society