Time series analysis of sferics rate data associated with severe weather patternsData obtained by an electronic transducer measuring the rate of occurrence of electrical disturbances in the atmosphere (the sferic rate in the form of a time series) over the life of electrical storms are analyzed. It is found that the sferic rate time series are not stationary. The sferics rate time series has a complete life cycle associated with a particular storm. The approach to recognition of a spectral pattern is somewhat similar to real-time recognition of the spoken word.
Document ID
19770055332
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Wang, P. P. (Duke Univ. Durham, NC, United States)
Burns, R. C. (Duke University Durham, N.C., United States)
Date Acquired
August 9, 2013
Publication Date
January 1, 1976
Subject Category
Meteorology And Climatology
Meeting Information
Meeting: Annual Pittsburgh Conference on Modeling and simulation