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Thunderstorm Hypothesis ReasonerTHOR is a knowledge-based system which incorporates techniques from signal processing, pattern recognition, and artificial intelligence (AI) in order to determine the boundary of small thunderstorms which develop and dissipate over the area encompassed by KSC and the Cape Canaveral Air Force Station. THOR interprets electric field mill data (derived from a network of electric field mills) by using heuristics and algorithms about thunderstorms that have been obtained from several domain specialists. THOR generates two forms of output: contour plots which visually describe the electric field activity over the network and a verbal interpretation of the activity. THOR uses signal processing and pattern recognition to detect signatures associated with noise or thunderstorm behavior in a near real time fashion from over 31 electrical field mills. THOR's AI component generates hypotheses identifying areas which are under a threat from storm activity, such as lightning. THOR runs on a VAX/VMS at the Kennedy Space Center. Its software is a coupling of C and FORTRAN programs, several signal processing packages, and an expert system development shell.
Document ID
19940023381
Acquisition Source
Legacy CDMS
Document Type
Contractor Report (CR)
Authors
Mulvehill, Alice M. (Mitre Corp. Bedford, MA, United States)
Date Acquired
September 6, 2013
Publication Date
January 1, 1994
Subject Category
Meteorology And Climatology
Report/Patent Number
NASA-CR-195714
NAS 1.26:195714
Accession Number
94N27884
Funding Number(s)
CONTRACT_GRANT: NAS10-11572
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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