What is the mechanism that's proposed to explain the correlation? r=0.91 is very high, higher than almost any other correlation in the world of climate forecasting even in the tropics (I recall El Nino and regional rainfall correlations are around r=0.7/0.8 at best). Is it simply persistence, i.e. once the atmosphere is organised in a particular way it then remains so for a few months? Or is there something specific about October?
For an index that is atmosphere based, where there has traditionally been thought to be far less persistence than in the ocean, it seems too good to be true. But certainly intriguing.
With such a strong statistical link present in actual values, I would expect dynamical models to reproduce the correlation too and therefore their ensemble forecasts would be much more accurate than they are.
Finally, many winters are a mix with the AO swinging from strongly positive to strongly negative from month to month. Given the 0.91 correlation this would imply the ONI would have to be roughly neutral in any year where the AO swings around intra-seasonally, but that seems counter-intuitive if we consider what dynamical forcing might explain the relationship.
Given how the index is described I'd have thought it could quite easily be independently replicated by sourcing the raw data.
Originally Posted by: TimS