Articles | Volume 27, issue 1
https://doi.org/10.5194/npg-27-121-2020
https://doi.org/10.5194/npg-27-121-2020
Research article
 | 
27 Feb 2020
Research article |  | 27 Feb 2020

Seasonal statistical–dynamical prediction of the North Atlantic Oscillation by probabilistic post-processing and its evaluation

André Düsterhus

Viewed

Total article views: 2,202 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,399 744 59 2,202 77 64
  • HTML: 1,399
  • PDF: 744
  • XML: 59
  • Total: 2,202
  • BibTeX: 77
  • EndNote: 64
Views and downloads (calculated since 10 Oct 2019)
Cumulative views and downloads (calculated since 10 Oct 2019)

Viewed (geographical distribution)

Total article views: 2,202 (including HTML, PDF, and XML) Thereof 1,963 with geography defined and 239 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
Seasonal prediction of the of the North Atlantic Oscillation (NAO) has been improved in recent years by improving dynamical models and ensemble predictions. One step therein was the so-called sub-sampling, which combines statistical and dynamical predictions. This study generalises this approach and makes it much more accessible. Furthermore, it presents a new verification approach for such predictions.