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dc.creatorAmrhein, Edward Thomas
dc.date.accessioned2012-06-07T23:02:19Z
dc.date.available2012-06-07T23:02:19Z
dc.date.created2001
dc.date.issued2001
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2001-THESIS-A52
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
dc.descriptionIncludes bibliographical references (leaves 104-108).en
dc.descriptionIssued also on microfiche from Lange Micrographics.en
dc.description.abstractA validation of an improved radar reflectivity partitioning scheme was performed using radar data collected for three separate precipitation systems in Central Texas. The improved algorithm was compared to a previously accepted method. Validation was performed using separate convective and stratiform mean vertical reflectivity profiles and mean vertical velocity profiles derived from dual-Doppler velocity data. The results were further validated through the use of convective and stratiform reflectivity and vertical velocity contour frequency by altitude diagrams (CFAD). As a final check, frequency distributions of reflectivity lapse rates in the mixed phase region were also examined. The results show that the new algorithm brings us a step closer in properly partitioning radar reflectivity data into its convective and stratiform parts. However, a few more modifications are needed in order to make it a more functional algorithm.en
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.publisherTexas A&M University
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
dc.subjectatmospheric sciences.en
dc.subjectMajor atmospheric sciences.en
dc.titleValidation of an improved computer algorithm for precipitation echo classificationen
dc.typeThesisen
thesis.degree.disciplineatmospheric sciencesen
thesis.degree.nameM.S.en
thesis.degree.levelMastersen
dc.type.genrethesisen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen


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