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Coastal Events Driven Data Delivery, Aggregation and Visualization

Coastal Events Driven Data Delivery, Aggregation and Visualization. Manil Maskey, Sandra Harper, Sara Graves, Ken Keiser Information Technology & Systems Center University of Alabama in Huntsville. NGCHC Annual Science Meeting June 12 – 14, 2013. mmaskey@itsc.uah.edu.

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Coastal Events Driven Data Delivery, Aggregation and Visualization

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  1. Coastal Events Driven Data Delivery, Aggregation and Visualization Manil Maskey, Sandra Harper, Sara Graves, Ken Keiser Information Technology & Systems Center University of Alabama in Huntsville NGCHC Annual Science Meeting June 12 – 14, 2013 mmaskey@itsc.uah.edu http://www.itsc.uah.edu

  2. ED3 Framework Event Handling Workflow Managers Workflow Managers Workflow Managers Results Event Listener Event Notice Data Access Service Layer Plans Sensor Tasking CAP Product Generation Workflows Event Generators Plans Process and Package Decision Support Systems & Users • Event-Driven Data Delivery (ED3) to prepare for data needs during hazardous events. • Support improved data preparedness for Decision Support Systems, applications, and users. • Provide reusable framework components that can support different events, disciplines, and data and processing needs.

  3. Decision Systems & Users Plans • Preparedness Plan: • For this event type • Meeting this criteria, • Do this processing • Every so often Services Any authorized system may generate and submit plans Existing decision support systems Custom Applications

  4. Events Trigger Plan Event Generators Event Listener s e r v i c e s Common Alerting Protocol (CAP) Plans Trigger Matching Preparedness Plans • If the plan is for this type of event, and • if specifies this criteria, • then execute plan Event Generators

  5. Process Plan Workflows Pre-negotiate access and agreements Data Repositories Workflow Managers Workflow Manager Workflow Manager Data Access Near –Future? Plans Sensor Tasking Product Generation Virtual Products Process and Package Workflow managers can be specialized for different types of data and processing. Multiple workflow managers can service a single plan.

  6. ED3 Use case for NGCHC Data sources: Archives Regional Observations Modelers Analysts Data Types: Model Outputs CSV KML W*S Working with RENCI for ADCIRC outputs DSS Creates Preparedness Plan based on occurrence of tropical storm events Storm advisories determine potential for storm in area of interest storm notification issued and picked up by Event Listener Event / Prediction Matching Plan is selected by the proper Workflow Manager for execution Requested data is retrieved and packaged Notification of plan execution and results are sent to NGCHC viz/situational awareness tool Aggregation of Models, Observations, and Analysis for the events with subscribed data

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