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dc.contributor.advisorRypdal, Martin
dc.contributor.authorMentzoni, Endre Falck
dc.date.accessioned2020-08-24T08:33:00Z
dc.date.available2020-08-24T08:33:00Z
dc.date.issued2020-06-15
dc.description.abstractAnthropogenic emission of greenhouse gases is causing an unbalance in the Earth’s climate system, leading to global climate change. The implications of these changes are dramatic, with a need for a global-scale assessment. The remaining carbon budget (RCB) is a measure of the amount of greenhouse gasses (GHGs) that can be emitted if we are to reach a specific temperature target. Traditionally, carbon budgets are assessed from experiments in Earth System Models (ESMs) or less complicated reduced complexity models, such as the Model of the Assessment of Greenhouse Gas Induced Climate Change (MAGICC). The large spread between ESMs implies that one would need to study an ensemble of models. An alternative approach, which so far has remained unexplored is to use simple response models to assess RCBs and to build in a non-linear effect framework explicitly. The construction of a simple response model (SRM) and estimated likelihood plots for the RCB show that the SRM estimates are consistent with MAGICC. A non-linear forcing effect framework enables the implementation and study of non-linear Earth system feedbacks. The estimates use a combination of emulators of 14 ESMs from the Coupled Model Intercomparison Project 5 (CMIP5) ensemble, to even out the climate sensitivity of each model.en_US
dc.identifier.urihttps://hdl.handle.net/10037/19117
dc.language.isoengen_US
dc.publisherUiT The Arctic University of Norwayen_US
dc.publisherUiT Norges arktiske universiteten_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)en_US
dc.subject.courseIDEOM-3901
dc.subjectVDP::Mathematics and natural science: 400::Mathematics: 410en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410en_US
dc.subjectVDP::Mathematics and natural science: 400::Information and communication science: 420::Mathematical modeling and numerical methods: 427en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Matematisk modellering og numeriske metoder: 427en_US
dc.subjectRCBen_US
dc.subjectTCREen_US
dc.titleAssessment of the Remaining Carbon Budget: Incorporation of Nonlinear Feedbacks in a Simple Response Modelen_US
dc.typeMaster thesisen_US
dc.typeMastergradsoppgaveen_US


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Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Med mindre det står noe annet, er denne innførselens lisens beskrevet som Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)