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dc.contributor.advisorConiglio, Michael
dc.contributor.authorFlournoy, Matthew
dc.date.accessioned2017-08-12T18:16:09Z
dc.date.available2017-08-12T18:16:09Z
dc.date.issued2017-07
dc.identifier.urihttps://hdl.handle.net/11244/51908
dc.description.abstractUnderstanding and forecasting nocturnal thunderstorms and their hazards remain elusive goals. To this end, an expansive array of fixed and mobile observing systems were deployed in the summer of 2015 for the Plains Elevated Convection At Night (PECAN) field experiment to intercept and observe nighttime atmospheric phenomena. During the night of 5 July 2015, an array of eight mobile radars and numerous ground-based surface and upper-air profiling systems directly sampled a severe mesoscale convective system (MCS) as it moved through southeastern South Dakota. The MCS was responsible for several severe wind reports, including one over 80 mph, and produced an EF-0 tornado near Dolton, SD. In this study, observations of these phenomena from mobile radiosonde vehicles, Doppler radars, and aircraft are assimilated into an ensemble analysis and forecasting system to analyze this event. All ensemble members simulated low-level mesovortices with one in particular generating two mesovortices within the MCS in conditions very similar to those observed by the PECAN platforms. Forecasts from this member were analyzed to examine the processes leading up to the development of the vortices. In all, a supercell-like mechanism appeared responsible, with vertical vorticity initially developing via tilting in baroclinic downdrafts and then undergoing intense stretching near the surface to form the low-level mesovortices.en_US
dc.languageen_USen_US
dc.subjectTornadoen_US
dc.subjectMesovortexen_US
dc.subjectSevere Stormsen_US
dc.titleA Tale of Two Mesovortices: Analysis of a Simulated Severe MCS Observed By PECAN on 5-6 July 2015en_US
dc.contributor.committeeMemberBiggerstaff, Michael
dc.contributor.committeeMemberWang, Xuguang
dc.contributor.committeeMemberCohen, Ariel
dc.date.manuscript2017-07
dc.thesis.degreeMaster of Science in Meteorologyen_US
ou.groupCollege of Atmospheric & Geographic Sciences::School of Meteorologyen_US


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