{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/125726"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/125726","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"A comparison of microphysical properties in lake-effect and synoptic snowfall near Buffalo, NY","abstract":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_html":"Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","abstract_has_math":false,"creators":["Peters, McKenzie Rose"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Nesbitt, Stephen W","Pettersen, Claire"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024-07-16","date_published":"2024-07-16","updated_at":"2026-07-22T22:25:02Z","subjects":["Snow","Precipitation Microphysics","Buffalo, Ny","Observations","Lake-effect Snow","Synoptic Snow"],"languages":["en","eng"],"rights":["Copyright 2024 McKenzie Peters"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/125726","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Nesbitt, Stephen W","Pettersen, Claire"]},{"key":"dc:creator","label":"Author","values":["Peters, McKenzie Rose"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2024-07-16","2024-08"]},{"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":["Snow","Precipitation Microphysics","Buffalo, Ny","Observations","Lake-effect Snow","Synoptic Snow"]}]},{"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 2024 McKenzie Peters"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/125726"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, McKenzie Peters, accepted the attached license on 2024-07-12 at 15:14.","The student, McKenzie Peters, submitted this Thesis for approval on 2024-07-12 at 15:15.","This Thesis was approved for publication on 2024-07-16 at 15:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21103 on 2025-02-04 at 21:17:05","Wintertime precipitation events greatly impact the environment and society, particularly in the Great Lakes region. Snowfall has socioeconomic impacts on transportation, recreation, agriculture, and infrastructure, as well as environmental impacts on regional ecology and hydrology. The extent of these impacts is dictated by storm type which induces differences in snowfall characteristics which poses a challenge in terms of forecasting snowfall. To improve forecasting of snow events, it is imperative to understand how the snowfall event type, mesoscale versus synoptic, dictates what an observer sees at the ground level. One location that endures extreme snowfall is Buffalo, NY, which is located along the long axis of Lake Erie, and can experience large lake-effect and synoptic snow accumulations. The University of Illinois System for Characterizing and Measuring Precipitation (SCAMP) is a suite of deployable ground-based instruments consisting of a profiling Micro Rain Radar 2, a Parsivel2 laser disdrometer, a precipitation weighing gauge, and a weather sensor. This instrument suite measures various characteristics of precipitation, such as precipitation amounts, radar reflectivities and Doppler velocities, and hydrometeor particle size distributions, supplemented by environmental conditions. SCAMP was deployed east of Buffalo, NY, for two full winter seasons, allowing synoptic and mesoscale snow events to be sampled. Using three events from the SCAMP dataset (two lake-effect events on 18-20 November 2022 and 23-25 December 2022 and a synoptic event observed on 17 January 2022), the observed snowfall parameters will be examined to help understand how the event type impacts surface snowfall characteristics."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["A comparison of microphysical properties in lake-effect and synoptic snowfall near Buffalo, NY"]}]}],"canonical_facts":{"dc:contributor":["Nesbitt, Stephen W","Pettersen, Claire"],"dc:creator":["Peters, McKenzie Rose"],"dc:date":["2024-07-16","2024-08"],"dc:description":["Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01","The student, McKenzie Peters, accepted the attached license on 2024-07-12 at 15:14.","The student, McKenzie Peters, submitted this Thesis for approval on 2024-07-12 at 15:15.","This Thesis was approved for publication on 2024-07-16 at 15:59.","DSpace SAF Submission Ingestion Package generated from Vireo submission #21103 on 2025-02-04 at 21:17:05","Wintertime precipitation events greatly impact the environment and society, particularly in the Great Lakes region. Snowfall has socioeconomic impacts on transportation, recreation, agriculture, and infrastructure, as well as environmental impacts on regional ecology and hydrology. The extent of these impacts is dictated by storm type which induces differences in snowfall characteristics which poses a challenge in terms of forecasting snowfall. To improve forecasting of snow events, it is imperative to understand how the snowfall event type, mesoscale versus synoptic, dictates what an observer sees at the ground level. One location that endures extreme snowfall is Buffalo, NY, which is located along the long axis of Lake Erie, and can experience large lake-effect and synoptic snow accumulations. The University of Illinois System for Characterizing and Measuring Precipitation (SCAMP) is a suite of deployable ground-based instruments consisting of a profiling Micro Rain Radar 2, a Parsivel2 laser disdrometer, a precipitation weighing gauge, and a weather sensor. This instrument suite measures various characteristics of precipitation, such as precipitation amounts, radar reflectivities and Doppler velocities, and hydrometeor particle size distributions, supplemented by environmental conditions. SCAMP was deployed east of Buffalo, NY, for two full winter seasons, allowing synoptic and mesoscale snow events to be sampled. Using three events from the SCAMP dataset (two lake-effect events on 18-20 November 2022 and 23-25 December 2022 and a synoptic event observed on 17 January 2022), the observed snowfall parameters will be examined to help understand how the event type impacts surface snowfall characteristics."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/125726"],"dc:language":["en","eng"],"dc:rights":["Copyright 2024 McKenzie Peters"],"dc:subject":["Snow","Precipitation Microphysics","Buffalo, Ny","Observations","Lake-effect Snow","Synoptic Snow"],"dc:title":["A comparison of microphysical properties in lake-effect and synoptic snowfall near Buffalo, NY"],"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":"2026-07-22T22:25:02Z"}