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File: ENSO_schematic_explainer_final.png

Schematic showing how maps tranlsate into correlation scores

Image caption

One way to evaluate forecast skill is pattern matching—an overall correlation "score" that describes how well the actual winter precipitation (such as the precipitation for winter 1997-98, a strong El Niño year, at left) matched individual model forecasts (top right), the NMME average (middle right), or the typical El Niño pattern (lower right). A score of 1 means a perfect match, a score of 0 means no matches at all, and a score of -1 means an inverse match, or a mirror image, such as you might expect to see during a La Niña winter. NOAA Climate.gov image, adapted from original by Michelle L'Heureux and Nat Johnson.