Supporting Decision Support with Event-Driven Data Delivery

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Wednesday, 5 February 2014: 1:30 PM
Room C108 (The Georgia World Congress Center )
Sara J. Graves, University of Alabama, Huntsville, AL; and K. Keiser, M. Maskey, T. Harper, and M. McEniry
Manuscript (1.6 MB)

To support better data preparedness for decision support of disasters and other events, an Event-Driven Data delivery (ED3) framework has been created that provides reusable services and configurations to rapidly provide pre-planned access to data, special processing, modeling and other capabilities, all executed in response to criteria-based events. ED3 facilitates decision makers to plan in advance of disasters and other types of events for the data necessary for decisions and response activities. A layer of services provided in the ED3 framework allows systems to support user definition of subscriptions for data plans that will be triggered when events matching specified criteria occur. Pre-planning for data in response to events lessens the burden on decision makers in the aftermath of an event and allows planners to think through the desired processing for specialized data products. Additionally the ED3 framework provides support for listening for event alerts and support for multiple workflow managers that provide data and processing functionality in response to events. This paper will discuss the details of the framework and provide use case examples of how ED3 is already being used for event response through the Northern Gulf Coastal Hazards Collaboratory, a multi-state coalition, and state agencies within Alabama dealing with hazards and disaster response efforts. NASA's Applied Science Program has funded a feasibility study of this technology and as a result the capability is on track be integrated into existing decision support systems, with an initial reference implementation hosted at the Global Hydrology Resource Center, a NASA distributed active archive center (DAAC).