Andrew F. Hart

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We describe a reusable architecture and implementation framework for managing science processing pipelines for mission ground data systems. Our system, dubbed ``PCS'', for Process Control System, improves upon an existing software component, the OODT Catalog and Archive (CAS), which has already supported the QuikSCAT, SeaWinds and AMT earth science(More)
Modern research requires collaboration among geographically distributed scientists. This collaborative model is transforming scientific discovery by enabling sharing and validation of data across institutions. Informatics infrastructures are being developed to support cancer research, endowing scientists with the ability to capture and share data with(More)
We have found open source to be an effective platform for software reuse. Within the NASA Earth science data systems community, there are a number of distinct applications, ranging from interactions amongst science investigator led processing systems (SIPS), which focus on active data processing, algorithm experimentation and evaluation, and the reuse of(More)
Domain experts are often untrained in big data technologies and this limits their ability to exploit the data they have available. Workflow systems hide the complexities of high-end computing and software engineering by offering pre-packaged analytic steps combined into multi-step methods commonly used by experts. A current limitation of workflow systems is(More)
The disparate communities of climate modeling and remote sensing are finding economic, political, and societal benefit from the direct comparisons of climate model outputs to satellite observations, using these comparisons to help tune models and to provide ground truth in understanding the Earth's climate processes. In the context of the Intergovernmental(More)