Time trends and persistence in the Arctic temperature

Abstract Time trends are examined in Arctic temperatures by using a fractionally integrated model. The results indicate that globally, the time trend coefficient is significantly positive and the degree of differentiation is equal to 0.32. Looking at subsamples of 25 years, the time trend is only found to be significantly positive in the last two subsamples, being particularly high in the final one corresponding to data starting at January 2001. For this period, the degree of integration is also the highest across all subsamples. This result supports the hypothesis that temperatures in the Arctic region have increased in recent years.

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Publication Details

Journal
Meteorology and Atmospheric Physics
Published
2025-04-07
DOI
https://doi.org/10.1007/s00703-025-01072-0
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00

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article

Time trends and persistence in the Arctic temperature

Nieves Carmona-González, Luis A. Gil-Alaña
Meteorology and Atmospheric Physics
Climate variability and models
article

Time trends and persistence in the Arctic temperature

Nieves Carmona-González, Luis A. Gil-Alaña
article en

Abstract

Abstract Time trends are examined in Arctic temperatures by using a fractionally integrated model. The results indicate that globally, the time trend coefficient is significantly positive and the degree of differentiation is equal to 0.32. Looking at subsamples of 25 years, the time trend is only found to be significantly positive in the last two subsamples, being particularly high in the final one corresponding to data starting at January 2001. For this period, the degree of integration is also the highest across all subsamples. This result supports the hypothesis that temperatures in the Arctic region have increased in recent years.

Meteorology and Atmospheric PhysicsVol. 137(3)
Universidad Francisco de Vitoria (ES), Universidad de Navarra (ES)
Universidad de Navarra, Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España, Agencia Estatal de Investigación
Openalex Percentile: Top 92%
Climate variability and models
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