{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/121541"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/121541","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Radar and model-based studies of mesovortices in cool-season quasi-linear convective systems","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","abstract_has_math":false,"creators":["Blind-Doskocil, Leanne Nicole"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Trapp, Robert J","Nesbitt, Stephen W","Kosiba, Karen"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2023,"date_issued":"2023-08","date_published":"2023-08","updated_at":"2026-07-22T22:25:00Z","subjects":["Qlcs","Quasi-linear Convective System","Mesovortex","Tornado","Tornadic","Nontornadic","Perils","Propagation, Evolution, And Rotation In Linear Storms","Dow, Doppler On Wheels","C-band On Wheels","Radar","Wsr-88d","Nexrad","Updraft Helicity","Low-level Rotation","Severe Weather","Wrf","Weather Research And Forecasting Model","Hrrr","High-resolution Rapid Refresh Model","Forecasting Tornadoes","Tornado Warning","Pod","Wind-damaging"],"languages":["en","eng"],"rights":["Copyright 2023 Leanne Nicole Blind-Doskocil"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/121541","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Trapp, Robert J","Nesbitt, Stephen W","Kosiba, Karen"]},{"key":"dc:creator","label":"Author","values":["Blind-Doskocil, Leanne Nicole"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2023-08","2023-07-18"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Atmospheric Sciences"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Qlcs","Quasi-linear Convective System","Mesovortex","Tornado","Tornadic","Nontornadic","Perils","Propagation, Evolution, And Rotation In Linear Storms","Dow, Doppler On Wheels","C-band On Wheels","Radar","Wsr-88d","Nexrad","Updraft Helicity","Low-level Rotation","Severe Weather","Wrf","Weather Research And Forecasting Model","Hrrr","High-resolution Rapid Refresh Model","Forecasting Tornadoes","Tornado Warning","Pod","Wind-damaging"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2023 Leanne Nicole Blind-Doskocil"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/121541"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, Leanne Blind-Doskocil, accepted the attached license on 2023-07-17 at 19:21.","The student, Leanne Blind-Doskocil, submitted this Thesis for approval on 2023-07-17 at 22:50.","This Thesis was approved for publication on 2023-07-18 at 15:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19723 on 2023-12-04 at 17:03:17","The challenges associated with forecasting quasi-linear convective system (QLCS) tornadoes are well-documented. QLCS tornadoes typically form within a parent vortex known as a mesovortex (MV); however, not all MVs are tornadic, which adds to the forecasting challenge. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) field campaign was conducted in the springs of 2022 and 2023 to collect high-resolution observations on tornadic QLCSs. This three-part study examined (i) the predictability of tornadic QLCSs using the High-Resolution Rapid Refresh (HRRR) atmospheric model to forecast for PERiLS deployments, (ii) the characteristics that differentiate tornadic (TOR), wind-damaging (WD), and non-damaging (ND) QLCS MVs using the WSR-88D radar data and PERiLS COW radar and Pod data, and (iii) a WRF simulation of PERiLS 2022 IOP2 to further investigate MV characteristics. For part 1 of this study, 97 tornadic cool-season QLCS cases were analyzed to examine whether the HRRR proved useful in predicting the convective mode of QLCSs and whether maximum 2-5 and 0-2 km updraft helicity (UH) values could be used to predict tornadoes. The HRRR modeled a QLCS in all cases for forecast hours 18, 12, and 6, although the timing of the line passages was delayed in some cases. 18-hour forecasts of maximum 2-5 km UH values have similar skill in predicting tornado locations as the 6-hour forecasts of maximum 0-2 km UH values. For part 2, 21 QLCS MVs were identified and catalogued using the WSR-88D and COW radars during the two years of PERiLS. It was found that TOR MVs over their total lifetimes have stronger rotational velocities (Vrots), smaller diameters, and slightly longer lifetimes when compared to WD and ND MVs. Although TOR and WD MVs have similar Vrots when analyzed prior to the first report/warning, TOR MVs typically have smaller diameters, which could be useful to forecasters. Three of the MVs intercepted six Pods during the deployments. A wind shift was detected by each of the Pods with a maximum wind gust of 11.84 m/s observed, and five of the six Pods observed a decrease in pressure. Time-height profiles of Vrot of a TOR MV and ND MV displayed that the TOR MV was associated with a mid-level circulation at the time of tornadogenesis. Finally, for part 3, analysis of two MVs using WRF revealed that the stronger MV was associated with stronger winds and a surface pressure drop at its peak intensity, and it was also deeper over most of its lifetime. This three-part study has advanced our understanding of predicting tornadic QLCSs using the HRRR and discriminating tornadic from nontornadic QLCS MVs."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Radar and model-based studies of mesovortices in cool-season quasi-linear convective systems"]}]}],"canonical_facts":{"dc:contributor":["Trapp, Robert J","Nesbitt, Stephen W","Kosiba, Karen"],"dc:creator":["Blind-Doskocil, Leanne Nicole"],"dc:date":["2023-08","2023-07-18"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms","The student, Leanne Blind-Doskocil, accepted the attached license on 2023-07-17 at 19:21.","The student, Leanne Blind-Doskocil, submitted this Thesis for approval on 2023-07-17 at 22:50.","This Thesis was approved for publication on 2023-07-18 at 15:43.","DSpace SAF Submission Ingestion Package generated from Vireo submission #19723 on 2023-12-04 at 17:03:17","The challenges associated with forecasting quasi-linear convective system (QLCS) tornadoes are well-documented. QLCS tornadoes typically form within a parent vortex known as a mesovortex (MV); however, not all MVs are tornadic, which adds to the forecasting challenge. The Propagation, Evolution, and Rotation in Linear Storms (PERiLS) field campaign was conducted in the springs of 2022 and 2023 to collect high-resolution observations on tornadic QLCSs. This three-part study examined (i) the predictability of tornadic QLCSs using the High-Resolution Rapid Refresh (HRRR) atmospheric model to forecast for PERiLS deployments, (ii) the characteristics that differentiate tornadic (TOR), wind-damaging (WD), and non-damaging (ND) QLCS MVs using the WSR-88D radar data and PERiLS COW radar and Pod data, and (iii) a WRF simulation of PERiLS 2022 IOP2 to further investigate MV characteristics. For part 1 of this study, 97 tornadic cool-season QLCS cases were analyzed to examine whether the HRRR proved useful in predicting the convective mode of QLCSs and whether maximum 2-5 and 0-2 km updraft helicity (UH) values could be used to predict tornadoes. The HRRR modeled a QLCS in all cases for forecast hours 18, 12, and 6, although the timing of the line passages was delayed in some cases. 18-hour forecasts of maximum 2-5 km UH values have similar skill in predicting tornado locations as the 6-hour forecasts of maximum 0-2 km UH values. For part 2, 21 QLCS MVs were identified and catalogued using the WSR-88D and COW radars during the two years of PERiLS. It was found that TOR MVs over their total lifetimes have stronger rotational velocities (Vrots), smaller diameters, and slightly longer lifetimes when compared to WD and ND MVs. Although TOR and WD MVs have similar Vrots when analyzed prior to the first report/warning, TOR MVs typically have smaller diameters, which could be useful to forecasters. Three of the MVs intercepted six Pods during the deployments. A wind shift was detected by each of the Pods with a maximum wind gust of 11.84 m/s observed, and five of the six Pods observed a decrease in pressure. Time-height profiles of Vrot of a TOR MV and ND MV displayed that the TOR MV was associated with a mid-level circulation at the time of tornadogenesis. Finally, for part 3, analysis of two MVs using WRF revealed that the stronger MV was associated with stronger winds and a surface pressure drop at its peak intensity, and it was also deeper over most of its lifetime. This three-part study has advanced our understanding of predicting tornadic QLCSs using the HRRR and discriminating tornadic from nontornadic QLCS MVs."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/121541"],"dc:language":["en","eng"],"dc:rights":["Copyright 2023 Leanne Nicole Blind-Doskocil"],"dc:subject":["Qlcs","Quasi-linear Convective System","Mesovortex","Tornado","Tornadic","Nontornadic","Perils","Propagation, Evolution, And Rotation In Linear Storms","Dow, Doppler On Wheels","C-band On Wheels","Radar","Wsr-88d","Nexrad","Updraft Helicity","Low-level Rotation","Severe Weather","Wrf","Weather Research And Forecasting Model","Hrrr","High-resolution Rapid Refresh Model","Forecasting Tornadoes","Tornado Warning","Pod","Wind-damaging"],"dc:title":["Radar and model-based studies of mesovortices in cool-season quasi-linear convective systems"],"dc:type":["text"],"thesis:degree_discipline":["Atmospheric Sciences"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:00Z"}