CODEFAST is the logical evolution of data access for both discovery and analysis. The advent of cost effective sensors and multiband remote sensing is delivering data at an unprecedented pace. A second order effect of this advance is the multiple incompatible formats, storage methods, and access barriers that result when interoperability is an afterthought of the development as well as programs built for solving specific programs within a domain. The use of CODEFAST opens new opportunities for analysis and research to add additional data sets that were once through to be isolated due to their formatting or the inability for the user side platform being able to access this information efficiently as well as the computing power that may not reside with the agency attempting the research. The proposed solution has an immediate application to NASA Earth Sciences but this extends to other organizations and agencies that share a similar dilemma.
Similar situations exist beyond the geosciences that would find use with CODEFAST. Several government agencies such as National Oceanographic and Atmospheric Agency (NOAA), the Department of Defense (DoD) and the Department of Homeland Security (DHS) have needs for data modeling and analysis that combines several disparate data sets. The true value of data is in its ability to integrate into analysis and study. CODEFAST would provide this capability and support the extension of current practices and methods for storage, access, and computing. More reliable forecast models that incorporate once inaccessible variables, intelligence correlations from multiple sources and the support to drive these computational intensive operations are possible utilizing this construct.
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