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<https://data.globalchange.gov/report/usgcrp-ocpfy2015/chapter/leveraging-global-change-research-societal-needs/figure/better-seasonal-forecasts-multi-model-ensemble>
   dcterms:identifier "better-seasonal-forecasts-multi-model-ensemble";
   gcis:figureNumber "3.4"^^xsd:string;
   dcterms:title "Better Seasonal Forecasts with a Multi-Model Ensemble"^^xsd:string;
   gcis:recommendedCitation "Eric Wood, Princeton (2014). Adapted by Dan Barrie (NOAA)"^^xsd:string;
   gcis:hasCaption "The NMME (yellow column) is a seasonal forecasting system that combines individual models (purple columns N1-N6) to produce more accurate predictions of climate. In forecasts of precipitation (top two panels) and temperature (bottom two panels)— key factors for predicting drought—the NMME performs better than any of the individual models. The NMME’s  better performance is indicated by the heights of the bars, which show performance relative to a reference forecast. (Credit: Adapted from results by E. Wood, Princeton University)"^^xsd:string;
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## Geographical extent of the figure content

## Temporal extent of the figure content

   a gcis:Figure, doco:Figure .





## Person and his/her role in the creation of the entity:
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