{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/116265"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/116265","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Change in the frequency of tornado activity in China with climate change","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","abstract_has_math":false,"creators":["Wang, Songning"],"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 Jeffrey","Wang, Zhuo","Sriver, Ryan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-08","date_published":"2022-08","updated_at":"2026-07-22T22:24:56Z","subjects":["Tornado","China","CMIP6","Enviromental parameter","Climate change"],"languages":["en","eng"],"rights":["Copyright 2022 Songning Wang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/116265","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Trapp, Robert Jeffrey","Wang, Zhuo","Sriver, Ryan"]},{"key":"dc:creator","label":"Author","values":["Wang, Songning"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-08","2022-07-19"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"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":["Tornado","China","CMIP6","Enviromental parameter","Climate change"]}]},{"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 2022 Songning Wang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/116265"]}]},{"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 2022-11-15 without embargo terms","The student, Songning Wang, accepted the attached license on 2022-07-18 at 16:47.","The student, Songning Wang, submitted this Thesis for approval on 2022-07-18 at 21:37.","This Thesis was approved for publication on 2022-07-19 at 08:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18366 on 2022-11-15 at 18:21:25","Global climate change affects weather systems across all scales, but the uncertainty of this effect increases with decreasing scale. Tornadoes are examples of small-scale systems that can cause extreme damage, thus emphasizing the importance of estimating possible trends in their future occurrences. One way of doing so is to use output from global climate model (GCM) simulations to calculate environmental parameters, including the significant tornado parameter (STP), which can then serve as tornado-occurrence proxies. This is a form of statistical downscaling. Using seven models contributed to the Coupled Model Intercomparison Project phase 6 (CMIP6), we computed STP and other environmental parameters over the region of China for the historical time period 1970-1999 and for the future time period 2070-2099 under the Shared Socioeconomic Pathway (SSP) 585. Across most models, STP is higher in the future over the Northeastern, Southern, and Central and Eastern China. An average increase of 1-3 days per spring season of tornado-favorable conditions is projected for Central and Eastern China in the future, and 0.5-2 days per summer season is projected for all three regions. The change in CAPE seems to be the most influential factor to the change in tornado-favorable environments during the spring, and the change in kinetic parameters gain more weight during the summer. We also find more inter-annual variability, or volatility, with tornado-favorable conditions in the future. This research will provide hazard assessments to inform future decision making."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Change in the frequency of tornado activity in China with climate change"]}]}],"canonical_facts":{"dc:contributor":["Trapp, Robert Jeffrey","Wang, Zhuo","Sriver, Ryan"],"dc:creator":["Wang, Songning"],"dc:date":["2022-08","2022-07-19"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms","The student, Songning Wang, accepted the attached license on 2022-07-18 at 16:47.","The student, Songning Wang, submitted this Thesis for approval on 2022-07-18 at 21:37.","This Thesis was approved for publication on 2022-07-19 at 08:52.","DSpace SAF Submission Ingestion Package generated from Vireo submission #18366 on 2022-11-15 at 18:21:25","Global climate change affects weather systems across all scales, but the uncertainty of this effect increases with decreasing scale. Tornadoes are examples of small-scale systems that can cause extreme damage, thus emphasizing the importance of estimating possible trends in their future occurrences. One way of doing so is to use output from global climate model (GCM) simulations to calculate environmental parameters, including the significant tornado parameter (STP), which can then serve as tornado-occurrence proxies. This is a form of statistical downscaling. Using seven models contributed to the Coupled Model Intercomparison Project phase 6 (CMIP6), we computed STP and other environmental parameters over the region of China for the historical time period 1970-1999 and for the future time period 2070-2099 under the Shared Socioeconomic Pathway (SSP) 585. Across most models, STP is higher in the future over the Northeastern, Southern, and Central and Eastern China. An average increase of 1-3 days per spring season of tornado-favorable conditions is projected for Central and Eastern China in the future, and 0.5-2 days per summer season is projected for all three regions. The change in CAPE seems to be the most influential factor to the change in tornado-favorable environments during the spring, and the change in kinetic parameters gain more weight during the summer. We also find more inter-annual variability, or volatility, with tornado-favorable conditions in the future. This research will provide hazard assessments to inform future decision making."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/116265"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Songning Wang"],"dc:subject":["Tornado","China","CMIP6","Enviromental parameter","Climate change"],"dc:title":["Change in the frequency of tornado activity in China with climate change"],"dc:type":["text","Thesis"],"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":"2026-07-22T22:24:56Z"}