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dc.contributor.advisorWood, Kimberly M.
dc.contributor.advisorFuhrmann, Christopher M.
dc.contributor.authorLandress, Christana
dc.date.accessioned2020-04-24T15:21:09Z
dc.identifier.urihttps://hdl.handle.net/11668/16965
dc.description.abstractLocated in the subtropical central-eastern Bahamas, San Salvador Island is impacted by both synoptic-scale weather systems as well as local features and the North Atlantic Subtropical High. This study explores rainfall variability via one year of daily rain gauge observations in relation to daily weather patterns identified from 18 UTC surface analyses. Satellite-derived rainfall estimates are then compared to gauge observations to look at days when gauge data was missing. Though non-synoptic classifications comprised 61.1% of the days and synoptic classifications comprised 38.9% of the days, more rainfall was produced by synoptic days. Unlike other studies done on San Salvador, this study uses multiple observations—in situ, surface analyses, and satellite—to further our understanding of San Salvador’s rainfall. This study also establishes methods to explore synoptic and non-synoptic impacts on the island’s rainfall using additional years as more rain gauge data become available.en_US
dc.subjectSan Salvador Islanden_US
dc.subjectBahamasen_US
dc.subjectPrecipitation variabilityen_US
dc.subjectCoCoRaHSen_US
dc.subjectIMERGen_US
dc.subjectGOES-16en_US
dc.subjectSatelliteen_US
dc.subjectMeteorologyen_US
dc.subjectClimatologyen_US
dc.subjectGeographyen_US
dc.titleSurface and satellite perspectives on precipitation variability across San Salvador Island, Bahamasen_US
dc.typeGraduate Thesisen_US
dc.publisher.departmentDepartment of Geosciencesen_US
dc.publisher.collegeCollege of Arts and Sciencesen_US
dc.date.authorbirth1996-08-25
dc.subject.degreeMaster of Scienceen_US
dc.subject.majorMeteorologyen_US
dc.contributor.committeeRodgers, John C. III
dc.date.defense2020-04-10
dc.rights.embargodescriptionVisible to MSU only for 1 yearen_US
dc.rights.embargotermsforeveren_US
dc.rights.embargoliftdate2021-05-15
dc.date.graduation2020-05-01


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