Extended Range Forecasting and Advanced Climate Applications Decision Support System Navy SBIR FY2014.2 Sol No.: Navy SBIR FY2014.2 Topic No.: N142-121 Topic Title: Extended Range Forecasting and Advanced Climate Applications Decision Support System Proposal No.: N142-121-0191 Firm: Sonalysts, Inc. 215 Parkway North P.O. Box 280 Waterford, Connecticut 06385 Contact: Peter Clement Phone: (860) 326-3750 Web Site: www.sonalysts.com Abstract: The Sonalysts Team proposes the research, identification, and Proof-of-Concept demonstration of an architecture solution to the Fleet Numeric Meteorological and Oceanographic (METOC) Center (FNMOC) to include a software suite of tools for the Navy Advanced Climate Analysis and Forecast (ACAF) System. This approach will allow end users and FNMOC analysts to manipulate the latest climate, meteorological, and oceanographic gridded data to generate derived decision support products through ACAF web services by the innovative use of a domain-specific scripting language. This ACAF gridded domain-specific language will allow access to FNMOC's programming, utility, and 3rd party libraries and applications at runtime, which will eliminate external development costs and permit the creation of derived product libraries for researchers and end users. The proposed architecture solution will provide an engineering approach to obtain, record, archive, and generate climate and METOC gridded data accessible to ACAF users and analysts. The system will be capable to auto-generate a standard set of products, as well as allow users to generate ad hoc non-standard derived products through web services. The resulting derived decision support products will be available in a number of user selectable formats for visualization and integration into Command and Control and Geographic Information Systems (GISs). Benefits: This research project will provide the Navy FNMOC with a flexible capability to create derived gridded data products from the latest climate and METOC gridded data for enhanced extended range forecasting providing derived decision support visualizations and products. The proposed system architecture will manage the gridded data collection, access, archival, and purging, as well as the scheduling and auto generation of products, to be made available to end users through web services. This resulting system architecture and derived gridded field creation capability can be applied to any METOC gridded data generation center, to include other Navy METOC, Air Force Weather, and National Weather Service research and operational model data generating centers. It can also be further applied to any organization that uses or generates any gridded data fields. Return