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        <datestamp>2024-09-16</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>Trapp, Robert J</dc:contributor>
          <dc:contributor>Lombardo, Franklin T</dc:contributor>
          <dc:contributor>Nesbitt, Stephen W</dc:contributor>
          <dc:date>2024-05</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:language>en</dc:language>
          <dc:type>text</dc:type>
          <dc:description>Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms</dc:description>
          <dc:description>The student, Kyle Killion, accepted the attached license on 2024-04-23 at 13:42.</dc:description>
          <dc:description>The student, Kyle Killion, submitted this Thesis for approval on 2024-04-23 at 13:52.</dc:description>
          <dc:description>This Thesis was approved for publication on 2024-05-01 at 15:18.</dc:description>
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          <dc:title>Quantification of mechanisms for damaging wind generation in simulated derecho events</dc:title>
          <dc:creator>Killion, Kyle Jarrard</dc:creator>
          <dc:date>2024-05-01</dc:date>
          <dc:subject>Derecho</dc:subject>
          <dc:subject>Severe Weather</dc:subject>
          <dc:subject>Damaging Wind</dc:subject>
          <dc:description>Damaging winds generated by non-tornadic thunderstorms are responsible for property and crop losses comparable to or greater than tornadoes. The number of annual severe-thunderstorm wind reports exceeds the number of annual tornado reports by at least an order of magnitude, yet tornadoes have been the focus of much of the research in the U.S. Four separate derecho events, each representing a different meteorological environment, geographic location, and season, were simulated with the Weather Research and Forecasting (WRF) model to investigate wind-generating mechanisms in the associated long-lasting, intense mesoscale convective systems (MCS). High-resolution model output was used to objectively identify severe and potentially damaging winds and their associated generating mechanisms. Rear-inflow jets (RIJs) were associated with the largest spatiotemporal impacts. They generated the most severe and potentially damaging winds in the derecho events, were attributed to the most observed reports, and tended to generate longer lasting winds. Downbursts (DBs) and Mesovortices (MVs) generated severe and potentially damaging winds less frequently and were attributed to fewer reports but produced stronger winds on average. The MV mechanism was the strongest solo mechanism, on average, and produced even stronger winds when combined with a RIJ or DB. These results suggest that RIJs likely generate most severe and/or damaging winds in derecho events but not the most intense winds, which are most likely to be generated by MV-related mechanisms.</dc:description>
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          <dc:language>eng</dc:language>
          <dc:identifier>https://hdl.handle.net/2142/124382</dc:identifier>
          <dc:rights>Copyright 2024 Kyle Killion</dc:rights>
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            <name>M.S.</name>
            <level>Thesis</level>
            <discipline>Atmospheric Sciences</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Climate Meteorology &amp; Atm Sci</department>
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