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dc.creatorBellue, Kyle Gordonen_US
dc.date.accessioned2012-06-07T22:54:55Z
dc.date.available2012-06-07T22:54:55Z
dc.date.created1999en_US
dc.date.issued1999
dc.identifier.urihttp://hdl.handle.net/1969.1/ETD-TAMU-1999-THESIS-B456en_US
dc.descriptionDue to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item.en_US
dc.descriptionIncludes bibliographical references (leaves 57-59).en_US
dc.descriptionIssued also on microfiche from Lange Micrographics.en_US
dc.description.abstractA study of the National Severe Storm Laboratory's (NSSL'S) Hail Detection Algorithm (HDA) has been performed for over 20 different multicell storm systems that occurred over the coastal region of the southern Great Plains. Since the HDA was developed using a data set mostly from the Central Plains where many of the thunderstorms are supercellular, this study addresses the regional and storm morphological influences on the algorithm performance. To enable use of ground validation from spotter networks, only the severe hail category was studied. While the NSSL HDA performed quite well in most instances, there was a tendency for the algorithm to over-warn for severe hail. Certain adjustable parameters within the HDA were tested for accuracy and optimized for the League City National Weather Service Office in Houston, Texas. These parameters include the Warning Threshold Selection Model (WTSM), the optimum population density threshold, and the Probability of Severe Hail (POSH) function.en_US
dc.format.mediumelectronicen_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoen_USen_US
dc.publisherTexas A&M Universityen_US
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en_US
dc.subjectmeteorology.en_US
dc.subjectMajor meteorology.en_US
dc.titlePerformance of the NSSL hail detection algorithm for multicell storms over the Coastal Southern Plainsen_US
dc.typeThesisen_US
thesis.degree.disciplinemeteorologyen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelMastersen_US
dc.type.genrethesis
dc.type.materialtexten_US
dc.format.digitalOriginreformatted digitalen_US


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