Articles | Volume 6, issue 2
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 141–157, 2020
Adv. Stat. Clim. Meteorol. Oceanogr., 6, 141–157, 2020
07 Oct 2020
07 Oct 2020

Nonlinear time series models for the North Atlantic Oscillation

Thomas Önskog et al.

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Cited articles

Benedict, J. J., Lee, S., and Feldstein, S. B.: Synoptic view of the North Atlantic oscillation, J. Atmos. Sci., 61, 121–144, 2004. 
Brock, W. A., Dechert W. D., and Sheinkman J. A.: A test of independence based on the correlation dimension, Econom. Rev., 15, 197–235, 1996. 
Brockwell, P. J. and Davis, R. A.: Time series: Theory and methods, second edition, Springer, New York,, 1991. 
Caian M., Koenigk, T., Döscher, R., and Devasthale, A.: An interannual link between Arctic sea-ice cover and the North Atlantic Oscillation, Clim. Dynam., 50, 423–441, 2018. 
Cover, T. M. and Thomas, J. A.: Elements of information theory, 2nd Edn., John Wiley & Sons, Hoboken, New Jersey,, 2012. 
Short summary
The North Atlantic Oscillation (NAO) has a significant impact on seasonal climate and surface weather conditions throughout Europe, North America and the North Atlantic. In this paper, we study a number of linear and nonlinear models for a station-based time series of the daily winter NAO. We find that a class of nonlinear models, including both short and long lags, excellently reproduce the characteristic statistical properties of the NAO. These models can hence be used to simulate the NAO.