{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/115387"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/115387","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Global heat balance model and probability distributions for atmospheric response","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":["Ding, Chenghao"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Nuclear, Plasma, Radiolgc Engr","degree_department":null,"school":null,"contributors":["Singer, Clifford","Stubbins, James","Di Fulvio, Angela","Sriver, Ryan"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-05","date_published":"2022-05","updated_at":"2026-07-22T22:24:54Z","subjects":["Global heat balance model","Climate sensitivity","Natural transients","Probability distribution"],"languages":["en","eng"],"rights":["Copyright 2022 Chenghao Ding"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://hdl.handle.net/2142/115387","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Singer, Clifford","Stubbins, James","Di Fulvio, Angela","Sriver, Ryan"]},{"key":"dc:creator","label":"Author","values":["Ding, Chenghao"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2022-05","2022-04-12"]},{"key":"dc:type","label":"Dc Type","values":["text","Thesis"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Nuclear, Plasma, Radiolgc Engr"]},{"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":["Global heat balance model","Climate sensitivity","Natural transients","Probability distribution"]}]},{"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 Chenghao Ding"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://hdl.handle.net/2142/115387"]}]},{"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, Chenghao Ding, accepted the attached license on 2022-04-11 at 23:11.","The student, Chenghao Ding, submitted this Dissertation for approval on 2022-04-11 at 23:14.","This Dissertation was approved for publication on 2022-04-12 at 16:20.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17612 on 2022-11-11 at 13:04:56","In this work, time series data for global average temperature and ocean heat content are used to calibrate the global heat balance model parameters including climate sensitivity, ocean thermal inertia, and a regional inhomogeneous radiative forcing multiplier. In this work, separate models are proposed to fit historical natural transients from the El Ni˜no Southern Oscillation (ENSO), volcanic aerosols, and solar variability respectively. Also, a probability distribution of λ, cth, and creg is found by removing the natural transients out from temperature observations. A new carbon balance model is used to account for departures from equilibrium between atmospheric CO2 and other reservoirs for anthropogenic carbon emissions. Assuming averages over natural transient effects having zero mean, extrapolation is done to get a probability distribution for future global average temperature."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Global heat balance model and probability distributions for atmospheric response"]}]}],"canonical_facts":{"dc:contributor":["Singer, Clifford","Stubbins, James","Di Fulvio, Angela","Sriver, Ryan"],"dc:creator":["Ding, Chenghao"],"dc:date":["2022-05","2022-04-12"],"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, Chenghao Ding, accepted the attached license on 2022-04-11 at 23:11.","The student, Chenghao Ding, submitted this Dissertation for approval on 2022-04-11 at 23:14.","This Dissertation was approved for publication on 2022-04-12 at 16:20.","DSpace SAF Submission Ingestion Package generated from Vireo submission #17612 on 2022-11-11 at 13:04:56","In this work, time series data for global average temperature and ocean heat content are used to calibrate the global heat balance model parameters including climate sensitivity, ocean thermal inertia, and a regional inhomogeneous radiative forcing multiplier. In this work, separate models are proposed to fit historical natural transients from the El Ni˜no Southern Oscillation (ENSO), volcanic aerosols, and solar variability respectively. Also, a probability distribution of λ, cth, and creg is found by removing the natural transients out from temperature observations. A new carbon balance model is used to account for departures from equilibrium between atmospheric CO2 and other reservoirs for anthropogenic carbon emissions. Assuming averages over natural transient effects having zero mean, extrapolation is done to get a probability distribution for future global average temperature."],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/115387"],"dc:language":["en","eng"],"dc:rights":["Copyright 2022 Chenghao Ding"],"dc:subject":["Global heat balance model","Climate sensitivity","Natural transients","Probability distribution"],"dc:title":["Global heat balance model and probability distributions for atmospheric response"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Nuclear, Plasma, Radiolgc Engr"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Ph.D."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:54Z"}