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Combining Models to Better Predict Future Conditions

Posted
Jun 1, 2014
Modeling

Overview
The North American Multi-Model Ensemble (NMME)—led by NOAA in partnership with DOE, NSF, NASA, and U.S. and Canadian research institutions—is an experimental climate forecasting system that combines a suite of different models. Using a combined system of models, each with different individual strengths in predicting phenomena, can enhance the overall success of a prediction beyond what would be possible with a single model.

The following link provides additional information:
cpc.ncep.noaa.gov/products/NMME/

Research and Societally Relevant Outcomes
Although NMME was developed as a research experiment, NOAA has successfully used the system to inform climate predictions. An operational version of NMME—where “operational” refers to use of the system as part of the national climate prediction capacity—is under development and shows promise. For example, model forecasts initialized in November 2011 were able to effectively predict temperatures for March 2012—four months later. NMME is thus expected to improve our ability to forecast climate conditions anywhere from months to seasons in advance. 

 

A suite of forecasts of air temperature ~6.5 feet (2 meters) above the ground, initialized in November 2011, were able to effectively predict March 2012 conditions. Red indicates higher temperatures and blue indicates lower temperatures relative to histor

A suite of forecasts of air temperature ~6.5 feet (2 meters) above the ground, initialized in November 2011, were able to effectively predict March 2012 conditions. Red indicates higher temperatures and blue indicates lower temperatures relative to historical averages from 1982 to 2010. (Source: NMME) 

 

Highlight Agency: 
Department of Energy, National Aeronautics & Space Administration, National Science Foundation
Source Report: 
Our Changing Planet: The U.S. Global Change Research Program for Fiscal Year 2014

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