{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/85962"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/85962","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Mesoscale Ensemble Prediction of Mid-Latitude Cyclones","abstract":"A unique aspect of this work was the assessment of these multiple, distinct mesoscale ensemble subsets, incorporating initial condition, model physics and lateral boundary uncertainties present in mid-latitude cyclone prediction. The use of separate ensemble subsets permitted direct comparison of the contributions from different uncertainty sources. Through the examination of the ensemble prediction results for cyclone central pressure, cyclone track, etc., and through statistical analysis, we gained an understanding of the utility of the MEPS for mid-latitude cyclone prediction. The BGM and PO breeding methods were found to be far superior to the MC method in generation of a set of initial conditions for ensemble prediction. A notable characteristic of the model physics perturbation ensemble is its ability to alleviate the problems caused by the unperturbed lateral boundary condition. The new technique for generating lateral boundary perturbations was successfully implemented and tested, and showed promising results. The large spread values in the lateral boundary ensembles demonstrated the importance of lateral boundary uncertainties in the mesoscale ensemble system.","abstract_html":"A unique aspect of this work was the assessment of these multiple, distinct mesoscale ensemble subsets, incorporating initial condition, model physics and lateral boundary uncertainties present in mid-latitude cyclone prediction. The use of separate ensemble subsets permitted direct comparison of the contributions from different uncertainty sources. Through the examination of the ensemble prediction results for cyclone central pressure, cyclone track, etc., and through statistical analysis, we gained an understanding of the utility of the MEPS for mid-latitude cyclone prediction. The BGM and PO breeding methods were found to be far superior to the MC method in generation of a set of initial conditions for ensemble prediction. A notable characteristic of the model physics perturbation ensemble is its ability to alleviate the problems caused by the unperturbed lateral boundary condition. The new technique for generating lateral boundary perturbations was successfully implemented and tested, and showed promising results. The large spread values in the lateral boundary ensembles demonstrated the importance of lateral boundary uncertainties in the mesoscale ensemble system.","abstract_has_math":false,"creators":["Cui, Bo"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Atmospheric Sciences","degree_department":null,"school":null,"contributors":["Mohan Ramamurthy"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-28T14:52:19Z","date_published":"2015-09-28T14:52:19Z","updated_at":"2026-07-22T22:26:26Z","subjects":["Physics, Atmospheric Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3153281"],"render_values":[{"text":"(MiAaPQ)AAI3153281","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/85962","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Mohan Ramamurthy"]},{"key":"dc:creator","label":"Author","values":["Cui, Bo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-28T14:52:19Z","10000-01-01","2004"]},{"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":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"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":["Physics, Atmospheric Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/85962","(MiAaPQ)AAI3153281"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["A unique aspect of this work was the assessment of these multiple, distinct mesoscale ensemble subsets, incorporating initial condition, model physics and lateral boundary uncertainties present in mid-latitude cyclone prediction. The use of separate ensemble subsets permitted direct comparison of the contributions from different uncertainty sources. Through the examination of the ensemble prediction results for cyclone central pressure, cyclone track, etc., and through statistical analysis, we gained an understanding of the utility of the MEPS for mid-latitude cyclone prediction. The BGM and PO breeding methods were found to be far superior to the MC method in generation of a set of initial conditions for ensemble prediction. A notable characteristic of the model physics perturbation ensemble is its ability to alleviate the problems caused by the unperturbed lateral boundary condition. The new technique for generating lateral boundary perturbations was successfully implemented and tested, and showed promising results. 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