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Extracting and Analyzing the Warming Trend in Global and Hemispheric Temperatures

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  • Pierre Perron
  • Eduardo Zorita
  • Francisco Estrada
  • Pierre Perron

Abstract

This paper offers an updated and extended attribution analysis based on recently published versions of temperature and forcing datasets. It shows that both temperature and radiative forcing variables can be best represented as trend stationary processes with structural changes occurring in the slope of their trend functions and that they share a common secular trend and common breaks, largely determined by the anthropogenic radiative forcing. The common nonlinear trend is isolated and further evidence on the possible causes of the current slowdown in warming is presented. Our analysis offers interesting results in relation to the recent literature. Changes in the anthropogenic forcings are directly responsible for the hiatus as in Estrada et al. (2013a), while natural factors such as the Atlantic Multidecadal Oscillation, the Interdecadal Pacific Oscillation and the Southern Annular Mode, as well as the new temperature adjustments in Karl et al. (2105) contribute to weaken the signal. In other words, natural variability and data adjustments do not explain in any way the hiatus, they simply mask its presence.
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  • Pierre Perron & Eduardo Zorita & Francisco Estrada & Pierre Perron, 2017. "Extracting and Analyzing the Warming Trend in Global and Hemispheric Temperatures," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 711-732, September.
  • Handle: RePEc:bla:jtsera:v:38:y:2017:i:5:p:711-732
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    File URL: http://hdl.handle.net/10.1111/jtsa.12246
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    3. Claudio, Morana & Giacomo, Sbrana, 2017. "Temperature anomalies, radiative forcing and ENSO," Working Papers 361, University of Milano-Bicocca, Department of Economics, revised 10 Feb 2017.
    4. Maria Dolores Gadea & Jesus Gonzalo & Andrey Ramos, 2023. "Trends in Temperature Data: Micro-foundations of Their Nature," Papers 2312.06379, arXiv.org.
    5. Bruns, Stephan B. & Csereklyei, Zsuzsanna & Stern, David I., 2020. "A multicointegration model of global climate change," Journal of Econometrics, Elsevier, vol. 214(1), pages 175-197.
    6. Francisco Estrada & Luis Filipe Martins & Pierre Perron, 2017. "Characterizing and attributing the warming trend in sea and land surface temperatures," Boston University - Department of Economics - Working Papers Series WP2017-009, Boston University - Department of Economics.
    7. Kim, Dukpa & Oka, Tatsushi & Estrada, Francisco & Perron, Pierre, 2020. "Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures," Journal of Econometrics, Elsevier, vol. 214(1), pages 130-152.
    8. Francisco Estrada & Pierre Perron, 2019. "Breaks, Trends and the Attribution of Climate Change: A Time-Series Analysis," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(83), pages 1-31.
    9. Claudio, Morana & Giacomo, Sbrana, 2017. "Some Financial Implications of Global Warming: An Empirical Assessment," Working Papers 377, University of Milano-Bicocca, Department of Economics, revised 25 Dec 2017.
    10. Skrobotov, Anton, 2022. "On robust testing for trend," Economics Letters, Elsevier, vol. 212(C).
    11. Morana, Claudio & Sbrana, Giacomo, 2019. "Climate change implications for the catastrophe bonds market: An empirical analysis," Economic Modelling, Elsevier, vol. 81(C), pages 274-294.
    12. David B. Stephenson & Alemtsehai A. Turasie & Donald P. Cummins, 2023. "More Accurate Climate Trend Attribution by Using Cointegrating Vector Time Series Models," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    13. Carlo Grillenzoni & Elisa Carraro, 2021. "Sequential tests of causality between environmental time series: With application to the global warming theory," Environmetrics, John Wiley & Sons, Ltd., vol. 32(1), February.
    14. Dukpa Kim & Tatsushi Oka & Francisco Estrada & Pierre Perron, 2017. "Inference Related to Common Breaks in a Multivariate System with Joined Segmented Trends with Applications to Global and Hemispheric Temperatures," Boston University - Department of Economics - Working Papers Series WP2017-003, Boston University - Department of Economics.

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