Advances in Statistical Climatology, Meteorology and Oceanography
Advances in Statistical Climatology, Meteorology and Oceanography
ASCMO
Articles | Volume 6, issue 2
Articles | Volume 6, issue 2
https://doi.org/10.5194/ascmo-6-141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ascmo-6-141-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 6, issue 2
07 Oct 2020
 | 07 Oct 2020

Nonlinear time series models for the North Atlantic Oscillation

Thomas Önskog, Christian L. E. Franzke, and Abdel Hannachi

Viewed

Total article views: 1,275 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
898 322 55 1,275 55 49
  • HTML: 898
  • PDF: 322
  • XML: 55
  • Total: 1,275
  • BibTeX: 55
  • EndNote: 49
Views and downloads (calculated since 07 Oct 2020)
Cumulative views and downloads (calculated since 07 Oct 2020)

Viewed (geographical distribution)

Total article views: 1,187 (including HTML, PDF, and XML) Thereof 1,187 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Nov 2024
Download
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.
Read more