1. DATA PREPAREDNESS FOR DISASTERS AND EVENTS GEOSS Future Products Workshop – Sensor Web Session Ken Keiser Information Technology and Systems Center University of Alabama in Huntsville

2. Preparedness vs. Reaction “...the aftermath of a major disaster is no time to be exchanging business cards.” Planning and preparedness can greatly improve the quality and latency of responses to events. Good planning leads to organized and effective emergency response. Emergency preparedness means taking action to be ready for emergencies before they happen. The objective of emergency preparedness is to simplify decision-making during emergencies. Emergency Preparedness and Response, Some Issues and Challenges Associated with Major Emergency Incidents, Statement of William O. Jenkins, Jr., Director Homeland Security and Justice Issues, United States Government Accountability Office Report GAO-06-467T, 2006.

3. NASA Applied Science Project Use Event-Driven Data Delivery (ED3) to prepare for data needs during disaster (and other) events. Demonstrate the feasibility of an ED3 framework to 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. Acknowledgements: This research is supported by the National Aeronautic and Space Administration grant NNX12AP73G. The project team includes PI Sara Graves and Co-Is Udaysankar Nair and Ken Keiser, all at the University of Alabama in Huntsville. Frank Lindsay is the NASA Applied Science program manager for this project.

4. Data Preparedness Plans & Services Service Layer Plan Database Events Data Workflows Decision Systems and Users Preparedness Plan: For this event type Meeting this criteria, Do this processing

5. Decision Support Systems & Users Decision Systems & Users Custom Applications Existing decision support systems Service Layer Plans Preparedness Plan: For this event type Meeting this criteria, Do this processing Any authorized system may generate and submit plans

6. Events Trigger Plans Service Layer Plans Event Generators Common Alerting Protocol (CAP) Event Listener Trigger Matching Preparedness Plans Event Generators If the plan is for this type of event, and if specifies this criteria, then execute plan

7. Workflow Manager Process Plan Workflows Service Layer Plans Workflow Managers Data Access Sensor Tasking Sensor Tasking Product Generation Process and Package Request Open Jobs of Supported Processing Receive Jobs To Be Processed Data Repositories ISERV Workflow managers can be specialized for different types of data and processing. Multiple workflow managers can service a single plan. Virtual Products Pre-negotiate access and agreements Near – Future?

8. Workflow Managers System/User Notifications Service Layer Plans Event Listener Workflow Managers Event Detection Workflow Processing Plan Generation Notifications by email, call-back functions, and others as necessary.

9. Example Flood Use Case Matching Plan is selected by the proper Workflow Manager for execution Additional workflows executed as necessary based on latest models or actual event occurrence Notification of plan execution and results are sent to DSS Requested data is retrieved and higher resolution modeling run initiated Flood Potential notification issued and picked up by Event Listener Regional flood model determines potential for flood in area of interest DSS Creates Preparedness Plan based on occurrence of Flood Potential Topography Rainfall Soil Moisture Model Event / Prediction Data Inputs

10. Decision Support Systems & Users Event Handling Workflow Managers ED3 Framework Service Layer Plans Event Listener Event Notice Event Notice Workflows Plans Workflow Managers Data Access Sensor Tasking Sensor Tasking Product Generation Process and Package Event Generators CAP Results

11. Project Participants Project Team Sara Graves (PI) – UAH/ITSC Udaysankar Nair (Co-I) UAH/Atmospheric Science Dept. Ken Keiser (Co-I) – UAH/ITSC Jared Harper – UAH/ITSC Michael McEniry – UAH/ITSC Current Collaborators Geologic Survey of Alabama (Sandy Ebersole and others) SERVIR (Dan Irwin and others) ISERV (Burgess Howell) Acknowledgements: This research is supported by the National Aeronautic and Space Administration grant NNX12AP73G. Frank Lindsay is the NASA Applied Science program manager for this project.

12. Contact Info Ken Keiser – keiserk@uah.edu ED3 Reference Implementation (in development): http://ed3test.itsc.uah.edu/ed3/subscriptions/new.php ITSC http://www.itsc.uah.edu