Dr. Hubbard received his Ph.D. in Geography from the University of Iowa in 2013. His Ph.D. focused on modeling geospatial flood events during flood disasters for disaster response decision-making. In that work, he developed a building evacuation model for the University of Iowa campus that provided a real-time building evacuations strategy for campus buildings during severe flooding on campus. Since then, Dr. Hubbard has also been working in Puerto Rico on various projects that help to build their capacity to model the impacts from hurricanes, floods, and earthquakes for preparedness, response, recovery, and mitigation actions. This modeling led to the evacuation of a neighborhood near San Juan before the landfall of Hurricane Maria. He has investigated the connections between climate change and resulting changes to the risks and impacts during floods and hurricanes in coastal Georgia. This work was successfully provided back to decision-makers in coastal Georgia to help them with the future designing and planning of communities under future climates. Currently, Dr. Hubbard is working with the State of Wisconsin’s Division of Emergency Management on the development to of a statewide flood risk assessment.
Professional Experience Highlights
Development of an Archival System for the Integration of High Resolution GOES-R, Radar, and Lightning Data for Improving Severe Weather Forecasting and Warning Capabilities, 07/17 – Present
- Predicting the development of mature storm evolution using high spatial and temporal resolution GOES 16 L2 products, GLM, and Radar
- Identifying flash flooding potential using multi-layered datasets
Spatially Derived Hazard Risk Layers for the Federal Emergency Management Agency’s National Risk Index, 2016 - 2019
- Methodology research providing spatial layers of tornado, hail, thunderstorm wind risks for the United States based on a 30 year climatology
- The National Risk Index will be used by communities to understand the links between social vulnerabilities and hazard risk for better planning, response, and resilience.
Projecting the Future Potential Risks and Impacts from Hurricane Wind, Riverine and Coastal Flooding due to Climate Change and Population Changes in Coastal Georgia, 04/15 – Present
- Development of future flood depth grids in streams, rivers, and coastlines in 2080 due to predicted rainfall and sea level rise changes.
- Modifying current wind hazard profiles from hurricanes to match projections of future intensities, sizes, and speeds of future landfalling hurricanes in the Atlantic Basin.
Community-Based Support for Building Resilience to Hurricanes and Flooding in the Playita Neighborhood within San Juan, Puerto Rico, 12/16 – 12/19
- Modeling the drivers for flash flooding, storm surge, and hurricane winds in Playita.
- Community engagement leading to identifiable answers for resilience building to lessen the impacts to each disaster.
Curriculum Development for four Federal Emergency Management Agency Courses that are given through The Emergency Management Institute, 04/15 – 05/16
- Curriculum developed to teach students, educators, and professionals the use of geospatial modeling tools to identify risks, vulnerabilities, and impacts from natural disasters.
Geospatial Tornado Damage and Loss Simulation System Developed and then Integrated into the US Department of Homeland Security’s Standard Unified Modeling, Mapping, and Integration Toolkit (SUMMIT), 07/14 – 03/15
- The modeling system is used by decision makers at State, Local, and Federal Emergency Management Agencies to model “What-IF” tornado scenarios for planning and exercises to identify tornado impacts.
Juran, L., MacDonald, M., Basu, N., Hubbard, S., Rajagopal, R., Rajagopalan, P., and Phillip., L. (2016). Development and application of a multi-scalar, participant-driven water poverty index in post-tsunami India. International Journal of Water Resources Development 33, 1-21.
Hubbard, S., Stewart, K., and Fan, J. (2014). Providing spatiotemporal decision support for building evacuations due to flooding. Journal of Applied Geography 52, 172-181.
Hubbard, S. and Stewart, K. (2011). Modeling Alternative Sequences of Events in Dynamic Geographic Domains. Transactions in GIS. 15(5), 557-575.
Mickey, K. and Hubbard, S. (2018). “The Impact of Overreliance on Static Floodplain Maps”. Journal of the National Institute of Building Sciences. Washington, D.C. December 2018.
Liebl, D. S., Hubbard, S., Hanson, A. (2016). “Targeting Flood Prone Manufacturing Facilities in Wisconsin”. US Environmental Protection Agency, Region V.
Lulloff, A., Stone, J., Hubbard, S., Buechler, J., Danielson, L., Coulton, K., and Morlock, S. (2014). “Strategies to Establish Flood Frequencies Associated with Flood Event High Water Marks”. The Association of State Floodplain Managers, Madison, WI.