Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/32361
Title: Trends in the sea ice and snow cover extent: a fractional integration analysis.
Authors: Caporale, GM
Romero-Rojo, MF
Gil-Alana, LA
Keywords: sea ice and snow cover extent;trends;fractional integration;long memory
Issue Date: 2025
Publisher: American Meteorological Society
Citation: Caporale, G.M., Romero-Rojo, M.F. and Gil-Alana, L.A. (2025) 'Trends in the sea ice and snow cover extent: a fractional integration analysis.', Journal of Hydrometeorology, 0 (accepted, in press)
Abstract: This paper analyses monthly data on sea ice cover extent from January 1979 to April 2024 and on snow cover extent from January 1967 to April 2024 for various regions of the world using fractional integration methods. A statistically significant time trend is found when the errors in the regression model are incorrectly assumed to exhibit short memory. However, this evidence vanishes when the errors are allowed instead to follow an I(d) process with d different from zero and thus to be characterised by long memory (a well-known property of most climatological series) – in this case, the time trend becomes insignificant for all series. This implies that previous findings suggesting an irreversible decline in both sea ice and snow cover extent might be misleading because of an incorrect model specification.
Description: JEL Classification: C220, Q540.
A preprint version of the article is available online at Caporale, Guglielmo Maria and Romero-Rojo, Maria Fatima and Gil-Alana, Luis A., Trends in the Sea Ice and Snow Cover Extent: A Fractional Integration Analysis (November 01, 2024). CESifo Working Paper Series No. 11475, Available at SSRN: https://ssrn.com/abstract=5046240 or https://doi.org/10.2139/ssrn.5046240. The preprint has not been certified by peer review. The preprint version is also available at https://www.econstor.eu/handle/10419/308371 and at https://www.cesifo.org/DocDL/cesifo1_wp11475.pdf .
URI: https://bura.brunel.ac.uk/handle/2438/32361
ISSN: 1525-755X
Other Identifiers: ORCiD: Guglielmo Maria Caporale https://orcid.org/0000-0002-0144-4135
Appears in Collections:Dept of Economics and Finance Embargoed Research Papers

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