Long-Range Forecasting Using COMPASS Machine Learning

O’Connor, A.1, Bell, R.2, Kirtman, B.2, and Gorman, J.1

Presented at the 7th International Workshop of Climate Informatics hosted by the National Center for Atmospheric Research, Boulder, CO (September 2017)

The Climatological Observations for Maritime Prediction and Analysis Support Service (COMPASS) uses machine learning to create long-range forecasts of the probability that future conditions will differ from average climatology or mission-specific thresholds. COMPASS learns over multi-model forecast data to generate skillfully-superior forecasts to improve mission readiness and effectiveness; ensure safety; as well as reduce cost, labor, and resource requirements. Furthermore, COMPASS enables Navy operational planners and decision makers to use more reliable long-range forecasting capabilities to improve current forecasting systems and mission-planning tools.

1 Charles River Analytics
2 University of Miami

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