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File: WinterForecast_610_alt2.png

ENSO variability prediction skill

Image caption

The skill (or forecasting ability) of model runs based on February-October observations to predict the November-January (NDJ) average value in the Niño-3.4 SST region (ENSO).  Results shown here are an average correlation coefficient from each of the 20 models between 2002-2011 (data used from Barnston et al, 2012).   Percent Explained Variance (%) is calculated by squaring the correlation coefficient and multiplying by 100 (see footnote #1).  Models that explain all ENSO variability would equal 100%, while explaining none of the ENSO variance would equal 0%.  Graphic by Fiona Martin based on data from NOAA CPC and IRI.