Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/223188
Title: Surface temperature analysis: variability and trends
Author: Pagès Ticó, Marcel
Director/Tutor: Sola Salvatierra, Yolanda
Keywords: Canvi climàtic
Estadística bayesiana
Treballs de fi de grau
Climatic change
Bayesian statistical decision
Bachelor's theses
Issue Date: Jun-2025
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
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2025, Tutora: Yolanda Sola Salvatierra
URI: https://hdl.handle.net/2445/223188
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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