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Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery

Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery Prabhash Jha, Manil Maskey, Sandra Harper, Ken Keiser, Sara Graves Information Technology & Systems Center, University of Alabama in Huntsville. NGCHC Use Case. Abstract.

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Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery

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  1. Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery Prabhash Jha, Manil Maskey, Sandra Harper, Ken Keiser, Sara Graves Information Technology & Systems Center, University of Alabama in Huntsville NGCHC Use Case Abstract Packaging and Delivery of Results • Create a workflow subscription based on tropical storm events. • Customize the desired datasets from the list or add your own datasets. • Assign a workflow manager to process/prepare data. • Pick geographical bounds, temporal parameters, and frequency of workflow execution. • Tropical storm event notification issued and picked up by Event Listener. • Matching Subscription is sent to a Workflow manager for execution. • Requested data is retrieved and prepared. • Notification of subscription/workflow execution and results are sent to situational awareness/visualization tool . The results of a subscription workflow may include a variety of data products. The end user or system will then be able to select and access the information necessary for specific decisions or to drive additional processing, modeling, etc. Event-driven data delivery (ED3), aggregation, and processing is being used to automate the access and processing of data for situational awareness in a hazardous event that could potentially become a disaster.  The University of Alabama in Huntsville (UAH), is refining the utility of the ED3 functionality for response to coastal hazards.  ED3 is in the process of being integrated with decision support systems, used by NASA SERVIR 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 the ED3 system and its usage in the NGCHC coastal hazards collaboratory. This use case involves tropical storm events that trigger data collection and subsequent workflow. The workflow processes and prepares data for a situational awareness and visualization tool. The tool will allow more rapid decisions based on possible conditions, which could help mitigate the effects of coastal hazards.   The reusability and flexibility of the components in ED3 allow for its applicability in various hazardous events and in support of multiple decision support systems and end users. Models and Analysis Observations Processing Event Notification ED3 Architecture ED3 is employing standardized event notifications, such as the Common Alerting Protocol (CAP), to communicate the occurrence of new events or forecasts to the system. Intermediate event generators will monitor alerts and subsequently generate the CAP-formatted messages that are more widely compatible with ED3 and other systems. This standards-based approach makes the system adaptable to essentially any disaster or forecast event. The ED3 Event Listener, upon receiving an event notification, will utilize web services from the subscription manager to search for matching event subscriptions. Matching subscriptions will be triggered for execution. ED3 Subscription Interface ….. WMS KML CSV The ED3 Subscription Manager supports both a database of user/DSS-defined event subscriptions, and services for generation, query and access to subscription information. The service layer supports functionality for decision support systems (users) to create and query subscriptions, the Event Listener checks on subscriptions for newly occurring events, and the Workflow Manager updates the event-driven workflow processing and status. Subscriptions contain workflow information including data sets to retrieve from known repositories, virtual products to be produced, and the processing and packaging of results. By providing a well-defined service layer and workflow definition, the ED3 Subscription Manager is able to support subscriptions from multiple decision support systems, can receive event subscription triggers from multiple event listener implementations, and drive processing at multiple workflow management systems – resulting in a high level of reusability. Subscriptions and Workflow Manager Heterogeneous data and distributed sources Processing Subscribed Workflows The Workflow Manager handles accessing data repositories for data sets specified in user subscriptions, as well as the processing of requested virtual products, and any subsequent processing and packaging of results. Data requests may also include the tasking of remote sensor systems to capture up-to-date observations of the event area, per the pre-defined subscription parameters. An example may be to task SERVIR ISERV camera deployed on the International Space Station. Creation of virtual (dynamic) products or the execution of models or analysis tools may be managed as part of a workflow. Decision Support/Situational Awareness ED3 Subscription services have been developed for easy integration with existing decision support systems (DSS) to allow users and systems to subscribe for workflow executions when specific events occur. This supports pre-planning for access to data and processing of products when specific types of events occur within an area of interest or globally. A pre-planned subscription supports automated processing that can provide information to decision support systems and personnel more quickly than waiting to form requests in the aftermath of events. The ED3 team is working with the SERVIR program, and other decisions support systems, to define and test the interfaces necessary to support their requirements. • Data layers automatically collected and aggregated by ED3 workflow manager. • UAH Team is currently working with Renaissance Computing Institute (RENCI) to provide realtime ADCIRC model outputs for tropical storm event subscriptions using ED3 framework. Coastal Events Based Automated Data Visualization and Situational Awareness Environment Manil Maskey University of Alabama in Huntsville mmaskey@itsc.uah.edu This material is based upon work supported by the National Science Foundation under Grant No EPS-1010607. This ED3 project is supported by the National Aeronautic and Space Administration Grant NNX12AP73G http://ngchc.org http://www.itsc.uah.edu/

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