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https://hdl.handle.net/2445/223188
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Sola Salvatierra, Yolanda | - |
dc.contributor.author | Pagès Ticó, Marcel | - |
dc.date.accessioned | 2025-09-16T13:19:10Z | - |
dc.date.available | 2025-09-16T13:19:10Z | - |
dc.date.issued | 2025-06 | - |
dc.identifier.uri | https://hdl.handle.net/2445/223188 | - |
dc.description | Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2025, Tutora: Yolanda Sola Salvatierra | ca |
dc.description.abstract | This work analyses global surface temperature anomalies from 1880 to 2024 using the GISS database. ARIMA and Bayesian Structural Time Series models are employed to make predictions. Both approaches reveal a strong warming trend predicting, respectively, an average annual increase of 0.021 K and 0.031 K until 2060. Higher warming over land and, especially in the Bayesian model, Arctic amplification are forecasted. These findings align with IPCC projections and underscore the urgency of climate mitigation strategies | ca |
dc.format.extent | 6 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | ca |
dc.rights | cc-by-nc-nd (c) Pagès, 2025 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.source | Treballs Finals de Grau (TFG) - Física | - |
dc.subject.classification | Canvi climàtic | cat |
dc.subject.classification | Estadística bayesiana | cat |
dc.subject.classification | Treballs de fi de grau | cat |
dc.subject.other | Climatic change | eng |
dc.subject.other | Bayesian statistical decision | eng |
dc.subject.other | Bachelor's theses | eng |
dc.title | Surface temperature analysis: variability and trends | eng |
dc.type | info:eu-repo/semantics/bachelorThesis | ca |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca |
Appears in Collections: | Treballs Finals de Grau (TFG) - Física |
Files in This Item:
File | Description | Size | Format | |
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PAGÉS TICÓ MARCEL-R.pdf | 18.57 MB | Adobe PDF | View/Open |
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