2017 ESIP Summer Meeting Highlights and Next Steps for 3DM Data Driven Decision Making 3 D M Karen Moe ESIP Disasters Lifecycle Data Driven Decision Making Workshop Edison Electric Institute, Washington DC August 3, 2018 @ESIPfed | #ESIPfed www.esipfed.org www.esipfed.org ESIP is supported by @ESIPfed | #ESIPfed ESIP is supported by and 180+ member organizations

Identify and Evaluate Candidate Data Products Operations personnel submit Use Case (AHC template) Focus on identifying the problem to be solved and prioritize cases Resource Movement Situational Awareness Damage Assessment Conduct interviews with key personnel (Duke Energy) Focus on understanding the Resource Management issues Identify & Evaluate candidate data products (ESIP, AHC) Demonstrate capabilities to assess value added to solve problem Integrate selected products into GeoCollaborate and test in operational exercise Assess ORL for approved products (AHC) Operational Readiness Level is associated with data for a selected use case where a process pipeline to SISE can be established Tentatively identified three areas of interest for candidate data products and services.  Weather predictions, especially regarding risk of power outages and for deploying resources (trucks, etc) for power recovery operations Flood map predictions and assessment, especially to support planning the staging and deployment of recovery resources Infrastructure damage risk and assessment, especially for power lines and poles but also substations

Use Case Assessment Session “What’s the right data for this Use Case?” Analysis of Hurricane Matthew Resource Management issues by Duke Energy Weather predictions for risk assessments and response planning Flood maps Infrastructure damage information ESIP proposes to explore candidate data sets Rapid Event Album CollecTions (REACT) from Univ. of Alabama/Huntsville Tropical Cyclone Information System from NASA Jet Propulsion Laboratory Dartmouth Flood Observatory Next steps will examine data set utility, access methods, and operational readiness for specific use cases Tentatively identified three areas of interest for candidate data products and services.  Weather predictions, especially regarding risk of power outages and for deploying resources (trucks, etc) for power recovery operations Flood map predictions and assessment, especially to support planning the staging and deployment of recovery resources Infrastructure damage risk and assessment, especially for power lines and poles but also substations Potential candidate data sets that we would like explore and bring forward from ESIP: UAH hurricane event product subscriptions; JPL hurricane prediction model; and UAH drone methodology and products for damage assessment…and possibly a 4th flood prediction product. Offer demos of these products during upcoming AHC (bi-monthly) telecoms.

UAH Rapid Event Album CollecTions (REACT) Event-Driven Data Delivery (ED3) Framework for REACT ° Facilitates planning for data needs • Improves data preparedness • Provides reusable framework components • Supports any event type • Easy integration of trusted data processes Provides user subscription services for event-relevant data ● Manages user subscriptions ● Supports definitions of event types ● Supports connection with pre-defined data processes ○ Science Data search/discovery ○ Data product generation/Process workflows ○ Model executions ○ Sensor tasking ○ Relevant social media ● Creation and management of virtual collections (event albums) Facilitates planning for data needs Improves data preparedness Supports any event type

NASA JPL Tropical Cyclone Information System Fusion of observations and operational model simulations to help improve the understanding and forecasting of hurricane processes. Specifically: Develop processing techniques to enable multi-source data fusion across hurricane forecast models, satellite data, and in situ sensors. Develop tools to manage the validation and assessment of model comparisons to more easily evaluate the performance of different numerical models. Develop interactive visualization techniques to enable analysis of highly complex systems. Brings models and observations into a common analysis system Develops on-line analysis tools Provides interactive visualization of complex storm systems

Trusted Data and ORLs Session “What do we mean by Trusted Data?” Exploration of data quality factors necessary for acceptance and use by the disaster response community Understanding how users perceive data as trustworthy is key to identifying appropriate data products End goal is to identify criteria to assess “fitness for use” by disasters operations decision makers ESIP proposes next steps Develop criteria for Trusted Data for disaster applications Get feedback from AHC stakeholder review Provide trusted data set assessment criteria to guide data set integration steps and help evaluate operational readiness

M D 3 2018 ESIP WINTER MEETING Bethesda, MD Bethesda North Marriott Data Driven Decision Making 3 D M January 8, 2018 – 3DM Workshop January 9-11, 2018 – ESIP Meeting Bethesda, MD Bethesda North Marriott