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Trends in Temperature Data: Micro-foundations of Their Nature

Maria Dolores Gadea, Jesus Gonzalo, Andrey Ramos

arXiv 11 Dec 2023 · Econometrics · publishedEconomics Letters (2024) · 4 citations (OpenAlex)

arXiv:2312.06379 · PDF · DOI · OpenAlex · Extracted main text

Abstract

Determining whether Global Average Temperature (GAT) is an integrated process of order 1, I(1), or is a stationary process around a trend function is crucial for detection, attribution, impact and forecasting studies of climate change. In this paper, we investigate the nature of trends in GAT building on the analysis of individual temperature grids. Our 'micro-founded' evidence suggests that GAT is stationary around a non-linear deterministic trend in the form of a linear function with a one-period structural break. This break can be attributed to a combination of individual grid breaks and the standard aggregation method under acceleration in global warming. We illustrate our findings using simulations.

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23
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distinct cited
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Gadea, M. D. and J. Gonzalo (2020) Trends in distributional characteristics: Existence of global warming self0.73732100%
2Gay-Garcia, C., F. Estrada, and A. Sánchez (2009) Global and hemispheric temperatures revisited0.73732100%
3AR6-IPCC (2021) Climate Change 2021: The Physical Science Basis0.73732100%
4Kaufmann, R. K., H. Kauppi, and J. H. Stock (2010) Does temperature contain a stochastic trend? evaluating conflicting statistical results0.73732100%
5Seidel, D. J. and J. R. Lanzante (2004) An assessment of three alternatives to linear trends for characterizing global atmospheric temperature changes0.73732100%
6Mann, M. E., R. S. Bradley, and M. K. Hughes (1998) Global-scale temperature patterns and climate forcing over the past six centuries0.64422100%
7McKitrick, R., T. Vogelsang, and J. Christy (2023) Temperature trends, climate attribution and the nonstationarity question0.51121100%
8Bennedsen, M., E. Hillebrand., and S. J. Koopman (2023) A multivariate dynamic statistical model of the global carbon budget 1959–20200.40511100%
9Chen, L., J. Gao, and F. Vahid (2022) Global temperatures and greenhouse gases: A common features approach0.40511100%
10Kim, D. and P. Perron (2009) Unit root tests allowing for a break in the trend function at an unknown time under both the null and alternative hypotheses0.40511100%

Showing the top 10 of 23 scored citations.