Soooo, you're saying that if you discount 95% of the other models and just look at those that were smart enough to predict ENSO, that the Pause actually validated the models?
ENSO may not be predictable in the short term, but over 20+ years the aggregate impact of ENSO is relatively predictable. Since we're really measuring the aggregate anomaly here and not the squared variance line fit, I'm guessing most of the models built in 2005 or before are significantly incorrect at this point. Either they didn't build ENSO in at all (stupid), or they didn't time it right (which should have minimal effect on the aggregate anomaly anyway), but almost all of them are significantly off the aggregate. They may have recalibrated and done well at "line fitting" to prior data, but line fitting does not prove accurate future predictions.
If you have a link, this one I'd like to read.
So much ignorance...so little time. Read:
Well-estimated global surface warming in climate projections selected for ENSO phase
- James S. Risbey,
- Stephan Lewandowsky,
- Clothilde Langlais,
- Didier P. Monselesan,
- Terence J. O’Kane
- & Naomi Oreskes
The question of how climate model projections have tracked the actual evolution of global mean surface air temperature is important in establishing the credibility of their projections. Some studies and the IPCC Fifth Assessment Report suggest that the recent 15-year period (1998–2012) provides evidence that models are overestimating current temperature evolution. Such comparisons are not evidence against model trends because they represent only one realization where the decadal natural variability component of the model climate is generally not in phase with observations. We present a more appropriate test of models where only those models with natural variability (represented by El Niño/Southern Oscillation) largely in phase with observations are selected from multi-model ensembles for comparison with observations. These tests show that climate models have provided good estimates of 15-year trends, including for recent periods and for Pacific spatial trend patterns.