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dc.contributor.advisorMarket, Patrick S.en
dc.contributor.authorSchnetzler, Amy Elisaen_US
dc.coverage.spatialTexas -- Hill County
dc.date.issued2008eng
dc.date.submitted2008 Summeren
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.en_US
dc.descriptionTitle from title screen of research.pdf file (viewed on August 14, 2009)en_US
dc.descriptionVita.en_US
dc.descriptionIncludes bibliographical references.en_US
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2008.en_US
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Soil, environmental and atmospheric sciences.en_US
dc.description.abstractForecasting heavy rain events and the area of greatest threat has been a long standing challenge in operational meteorology. This is especially true in certain regions where the physical geography lends itself to the creation of such events. With its thin soil layers, low latitude, and proximity to the Gulf of Mexico, the Texas Hill County is one such region. Twenty-five years of daily (24-hour) rainfall data were examined for the Texas Hill Country using observations from 86 cooperative climate stations in the region; the period examined for this study was 1982-2006. Days with measurable precipitation were treated as a gamma distribution in order to determine the top 2%, 1%, and 0.5% to define events as unusual, rare, and extreme, respectively. Quantifying rainfall as a distribution provides forecasters with supplementary information on precipitation thresholds that can lead to significant flash flooding or major flooding. This approach was applied to each station as well as to the aggregate data for all 86 stations, resulting in an analysis of 130,986 observations of 24-hour precipitation. Soundings were then constructed for each using the 3-hourly North American Regional Reanalysis (NARR) gridded datasets. From these individual soundings mean values were created, and composite soundings were then made for each rainfall threshold for the Mesohigh, Frontal and Synoptic classifications. Convective stability parameters were also tested for each of the classes of heavy rain events. From these exercises, it was learned that high values of precipitable water and wind shear are key ingredients for heavy rainfall to occur.en_US
dc.identifier.merlin.b70639115en_US
dc.identifier.oclc430531125en_US
dc.identifier.otherSchnetzlerA-081808-T11885en_US
dc.identifier.urihttp://hdl.handle.net/10355/5792
dc.publisherUniversity of Missouri--Columbiaen_US
dc.relation.ispartofcollection2008 Freely available theses (MU)
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. Graduate School. Theses and Dissertations. Theses. 2008 Theses
dc.subject.lcshRain and rainfall -- Forecastingen_US
dc.titleAnalysis of twenty-five years of heavy rainfall events in the Texas Hill Countryen_US
dc.typeThesisen_US
thesis.degree.disciplineSoil, environmental and atmospheric sciencesen_US
thesis.degree.disciplineSoil, environmental and atmospheric scienceseng
thesis.degree.grantorUniversity of Missouri--Columbiaen_US
thesis.degree.levelMastersen_US
thesis.degree.nameM.S.en_US


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