Signal and noise in regime systems: A hypothesis on the predictability of the North Atlantic Oscillation

• Published in: Quarterly Journal of the Royal Meteorological Society
• Main Authors: Strommen, Kristian, Palmer, Tim N.
• Other Authors: Horizon 2020 Framework Programme
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2018
• Subjects: North Atlantic; North Atlantic oscillation
• Online Access: http://dx.doi.org/10.1002/qj.3414; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3414; https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3414; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3414; https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3414

Studies conducted by the UK Met Office reported significant skill in predicting the winter North Atlantic Oscillation (NAO) index with their seasonal prediction system. At the same time, a very low signal‐to‐noise ratio was observed, as measured using the “ratio of predictable components” (RPC) metric. We analyse both the skill and signal‐to‐noise ratio using a new statistical toy model, which assumes NAO predictability is driven by regime dynamics. It is shown that if the system is approximately bimodal in nature, with the model consistently underestimating the level of regime persistence each season, then both the high skill and high RPC value of the Met Office hindcasts can easily be reproduced. Underestimation of regime persistence could be attributable to any number of sources of model error, including imperfect regime structure or errors in the propagation of teleconnections. In particular, a high RPC value for a seasonal mean prediction may be expected even if the model's internal level of noise is realistic.