{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115785"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115785","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A flood preparedness tool for Chicago: Weather Research and Forecasting (WRF) model downscaling to improve rainfall forecasts and flood mitigation","abstract":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_html":"Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","abstract_has_math":false,"creators":["Ragauskis, Michael Thomas"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Dominguez, Francina","Jewett, Brian","Frame, Jeffrey"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:55Z","subjects":["numerical weather prediction","flooding","Chicago","rainfall","WRF"],"languages":["en","eng"],"rights":["Copyright 2022 Michael Ragauskis"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115785","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Dominguez, Francina","Jewett, Brian","Frame, Jeffrey"]},{"key":"dc:creator","label":"Author","values":["Ragauskis, Michael Thomas"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-27"]},{"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":["numerical weather prediction","flooding","Chicago","rainfall","WRF"]}]},{"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 Michael Ragauskis"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115785"]}]},{"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 2022-11-11 without embargo terms","The student, Michael Ragauskis, accepted the attached license on 2022-04-26 at 11:21.","The student, Michael Ragauskis, submitted this Thesis for approval on 2022-04-26 at 11:45.","This Thesis was approved for publication on 2022-04-27 at 11:39.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17961 on 2022-11-11 at 17:38:08","Flooding is a chronic problem for the city of Chicago, Illinois, with only coastal areas of hurricane-ravaged states receiving more federal flood aid in some years. Low-income households and neighborhoods are especially hard hit. Exacerbating the problem is the lack of a system to provide accurate and timely forecasts of urban flooding to communities and hydrologic and hydraulic (H&H) infrastructure managers. This work is part of a large effort to build a tool to forecast and communicate flood risk at the community-scale for the city of Chicago. Using Weather Research and Forecasting (WRF) model downscaling to hindcast four significant flooding events, we demonstrate that areal rainfall forecasts can be generated at 1 km horizontal grid spacing and up to 24-hour lead times with more skill than current operational models. WRF generated precipitation can then force H&H models to provide sewer flow forecasts. These optimized forecasts will enable vulnerable communities and city-wide infrastructure managers to effectively prepare for and mitigate urban flooding and its effects on the Chicago-area waterway system."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A flood preparedness tool for Chicago: Weather Research and Forecasting (WRF) model downscaling to improve rainfall forecasts and flood mitigation"]}]}],"canonical_facts":{"dc:contributor":["Dominguez, Francina","Jewett, Brian","Frame, Jeffrey"],"dc:creator":["Ragauskis, Michael Thomas"],"dc:date":["2022-05","2022-04-27"],"dc:description":["Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms","The student, Michael Ragauskis, accepted the attached license on 2022-04-26 at 11:21.","The student, Michael Ragauskis, submitted this Thesis for approval on 2022-04-26 at 11:45.","This Thesis was approved for publication on 2022-04-27 at 11:39.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17961 on 2022-11-11 at 17:38:08","Flooding is a chronic problem for the city of Chicago, Illinois, with only coastal areas of hurricane-ravaged states receiving more federal flood aid in some years. Low-income households and neighborhoods are especially hard hit. Exacerbating the problem is the lack of a system to provide accurate and timely forecasts of urban flooding to communities and hydrologic and hydraulic (H&H) infrastructure managers. This work is part of a large effort to build a tool to forecast and communicate flood risk at the community-scale for the city of Chicago. Using Weather Research and Forecasting (WRF) model downscaling to hindcast four significant flooding events, we demonstrate that areal rainfall forecasts can be generated at 1 km horizontal grid spacing and up to 24-hour lead times with more skill than current operational models. WRF generated precipitation can then force H&H models to provide sewer flow forecasts. These optimized forecasts will enable vulnerable communities and city-wide infrastructure managers to effectively prepare for and mitigate urban flooding and its effects on the Chicago-area waterway system."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115785"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Michael Ragauskis"],"dc:subject":["numerical weather prediction","flooding","Chicago","rainfall","WRF"],"dc:title":["A flood preparedness tool for Chicago: Weather Research and Forecasting (WRF) model downscaling to improve rainfall forecasts and flood mitigation"],"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":"2026-07-22T22:24:55Z"}