Title :
Tornadic Time-Series Detection Using Eigen Analysis and a Machine Intelligence-Based Approach
Author :
Yeary, M. ; Nemati, S. ; Yu, T.-Y. ; Wang, Y.
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK
fDate :
7/1/2007 12:00:00 AM
Abstract :
The research Weather Surveillance Radar-1988 Doppler locally operated by the National Severe Storms Laboratory in Norman, OK, has the unique capability of collecting massive volumes of Level I time-series data over many hours, which provides a rich environment for evaluating our new postprocessing algorithms. In this letter, an approach of identifying tornado vortices in Doppler spectra is proposed and investigated using eigen analysis, cluster estimation, and fuzzy logic technique.
Keywords :
Doppler measurement; artificial intelligence; atmospheric techniques; fuzzy logic; geophysical signal processing; remote sensing by radar; storms; time series; Doppler spectra; National Severe Storms Laboratory; Norman; Oklahoma; Weather Surveillance Radar-1988 Doppler; cluster estimation; eigen-analysis; fuzzy logic; level I time series data; machine intelligence; postprocessing algorithms; tornadic time series detection; tornado vortex identification; Digital signal processing; Doppler radar; Fuzzy logic; Machine intelligence; Meteorological radar; Radar detection; Surveillance; Time series analysis; Tornadoes; Weather forecasting; Clustering; Weather Surveillance Radar-1988 Doppler (WSR-88D); digital signal processing; eigen analysis; fuzzy logic; radar measurements; remote sensing;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2007.895677
