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  • Implementation of a Rapid Prototyping Capabilities System for Earth Science Applications

    Paper number

    IAC-07-B1.I.13

    Author

    Mr. Valentine Anantharaj, Mississippi State University, United States

    Coauthor

    Dr. Tomasz Haupt, United States

    Coauthor

    Prof. Robert Moorhead, United States

    Coauthor

    Dr. Charles O'Hara, United States

    Year

    2007

    Abstract
    The NASA Applied Sciences Program has sponsored the implementation of a Computational Rapid Prototyping Capabilities (RPC) System in order to identify, evaluate, and integrate NASA research results, primarily earth observations and earth system models, for earth science applications.  The overall goal of the RPC process is to accelerate the simulation and testing of candidate configurations with current and future earth observation mission measurements and research results.  The RPC computational infrastructure will facilitate the development, execution, and evaluation of exploratory experiments utilizing research results from current and future Earth-observation missions.  These science experiments can be rapidly prototyped in order to evaluate the suitability of data, algorithms, and models.  They are designed to characterize uncertainties involved in the data, models, and decision making process while maintaining scientific rigor through the entire process.  This process helps identify scientific and logistical risks earlier in the research lifecycle so that they can be appropriately addressed to minimize risk. The RPC approach is based on a systems engineering concept, advocated by the NASA Applied Sciences Program.
    
    The Rapid Prototyping Capabilities (RPC) System, being currently implemented by the Mississippi Research Consortium (MRC), will provide the capability to integrate the software components and tools needed to evaluate the use of a wide variety of current and future NASA sensors, numerical models, and research results, model outputs, and knowledge, collectively referred to as "resources".  The RPC system requires providing support for: (1) discovery, semantic understanding, secure access and transport mechanisms for data products available from the known data provides; (2) data assimilation and geo- processing tools for all data transformations needed to match given data products to the model input requirements; (3) model management including catalogs of models and model metadata, and mechanisms for creation environments for model execution; and (4) tools for model output analysis and model benchmarking.  Currently, a number of RPC science experiments are used to develop the systems requirements as well as to prototype system components.  Community consensus and open protocols, such as the Open Geospatial Consortium standards and the Open Standards Data Access Protocol (OPeNDAP), have been adopted and incorporated in the MRC RPC system.  The capabilities of the RPC system to support RPC experiments (involving current and future satellite sensors and numerical models) will be illustrated and discussed.
    
    Abstract document

    IAC-07-B1.I.13.pdf