Automated Data Delivery and Processing for Disaster Events



Event-driven data delivery (ED3) is being used to automate the access and processing of data for decision support as the result of disaster events.  Through a NASA Applied Science award, the Information Technology and Systems Center and Atmospheric Science Department, both at the University of Alabama in Huntsville (UAH), are collaborating to refine the utility of the ED3 functionality for response to disasters.  The team is working closely with decision support systems, such as the SERVIR project and state agencies in Alabama, to help define the capabilities that will best suit the end users for a variety of disaster events.  This poster depicts using the output of a UAH flood modeling system to define a flood potential as an event that would trigger data access and additional processing to make more rapid decisions about possible flood conditions, which could help mitigate the effects of the eventual flood itself.  This project will  demonstrate the reusability of this technology for other disaster events and in support of multiple decision support systems and end users.

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