Skillful long‐range prediction of European and North American winters. Issue 7 (9th April 2014)

• Record Type: Journal Article
• Authors: Scaife, A. A.; Arribas, A.; Blockley, E.; Brookshaw, A.; Clark, R. T.; Dunstone, N.; Eade, R.; Fereday, D.; Folland, C. K.; Gordon, M.; Hermanson, L.; Knight, J. R.; Lea, D. J.; MacLachlan, C.; Maidens, A.; Martin, M.; Peterson, A. K.; Smith, D.; Vellinga, M.; Wallace, E.; Waters, J.; Williams, A.
• Is Part Of: Geophysical research letters. Volume 41:Issue 7(2014:Apr.)
• Page Start: 2514
• Page End: 2519
• Publication Date: 2014-04-09
• Subjects: signal‐to‐noise ratio -- prediction -- regional climate; Geophysics -- Periodicals; Planets -- Periodicals; Lunar geology -- Periodicals; 550
• DOI: 10.1002/2014GL059637
• Languages: English
• ISSNs: 0094-8276

Abstract

Abstract: Until recently, long‐range forecast systems showed only modest levels of skill in predicting surface winter climate around the Atlantic Basin and associated fluctuations in the North Atlantic Oscillation at seasonal lead times. Here we use a new forecast system to assess seasonal predictability of winter North Atlantic climate. We demonstrate that key aspects of European and North American winter climate and the surface North Atlantic Oscillation are highly predictable months ahead. We demonstrate high levels of prediction skill in retrospective forecasts of the surface North Atlantic Oscillation, winter storminess, near‐surface temperature, and wind speed, all of which have high value for planning and adaptation to extreme winter conditions. Analysis of forecast ensembles suggests that while useful levels of seasonal forecast skill have now been achieved, key sources of predictability are still only partially represented and there is further untapped predictability. Key Points: The winter NAO can be skilfully predicted months ahead The signal‐to‐noise ratio of the predictable signal is anomalously low Predictions of the risk of regional winter extremes are possible