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Tornado Detection Using a Neuro-Fuzzy System to Integrate Shear and Spectral Signatures
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Journal of Atmospheric and Oceanic Technology
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July 1, 2008
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Copyright informationCopyright American Meteorological Society Jul 2008. Provided by ProQuest LLC. (Hide copyright information)
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ABSTRACT
Tornado vortices observed from Doppler radars are often associated with strong azimuthal shear and Doppler spectra that are wide and flattened. The current operational tornado detection algorithm (TDA) primarily searches for shear signatures that are larger than the predefined thresholds. In this work, a tornado detection procedure based on a fuzzy logic system is developed to integrate tornadic signatures in both the velocity and spectral domains. A novel feature of the system is that it is further enhanced by a neural network to refine the membership functions through a feedback training process. The hybrid approach herein, termed the neuro-fuzzy tornado detection algorithm ...
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