Articles | Volume 9, issue 2
Earth Syst. Dynam., 9, 383–391, 2018
Earth Syst. Dynam., 9, 383–391, 2018
Research article
18 Apr 2018
Research article | 18 Apr 2018

Quantifying changes in spatial patterns of surface air temperature dynamics over several decades

Dario A. Zappalà et al.

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Cited articles

Barreiro, M., Fedorov, A., Pacanowski, R., and Philander, S. G.: Abrupt climate changes: How freshening of the northern Atlantic affects the thermohaline and wind-driven oceanic circulations, Annu. Rev. Earth Planet. Sci., 36, 33–58, 2008. a
Barreiro, M., Marti, A. C., and Masoller, C.: Inferring long memory processes in the climate network via ordinal pattern analysis, Chaos, 21, 013101,, 2011. a
Beaumont, L. J., Pitman, A., Perkins, S., Zimmermann, N. E., Yoccoz, N. G., and Thuiller, W.: Impacts of climate change on the world's most exceptional ecoregions, P. Natl. Acad. Sci. USA, 108, 2306–2311, 2011. a
Bilato, R., Maj, O., and Brambilla, M.: An algorithm for fast Hilbert transform of real functions, Adv. Comput. Math., 40, 1159–1168,, 2014. a, b
Bordeu, I., Clerc, M. G., Couteron, P., Lefever, R., and Tlidi, M.: Self-replication of localized vegetation patches in scarce environments, Sci. Rep., 6, 33703,, 2016. a
Short summary
The dynamics of our climate involves multiple timescales, and while a lot of work has been devoted to quantifying variations in time-averaged variables or variations in their seasonal cycles, variations in daily variability that occur over several decades still remain poorly understood. Here we analyse daily surface air temperature and demonstrate that inter-decadal changes can be precisely identified and quantified with the Hilbert analysis tool.
Final-revised paper