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• W2898046454 abstract "Studies conducted by the UK Met Office reported significant skill at predicting the winter 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 models internal level of noise is realistic." @default.
• W2898046454 created "2018-10-26" @default.
• W2898046454 creator A5013131077 @default.
• W2898046454 creator A5024436151 @default.
• W2898046454 date "2018-12-05" @default.
• W2898046454 modified "2023-10-15" @default.
• W2898046454 title "Signal and noise in regime systems: A hypothesis on the predictability of the North Atlantic Oscillation" @default.
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• W2898046454 doi "https://doi.org/10.1002/qj.3414" @default.
• W2898046454 hasPublicationYear "2018" @default.
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