Submissions from 2017
'Catch the King' Tide Thank You and Review, Jon Derek Loftis
StormSense Project: Forecasting Flooding from Storm Surge, Rain, and Tide, Jon Derek Loftis, David R. Forrest, and Kyle Spencer
'Catch the King' Tide with StormSense on Nov. 5th: How You Can Help Crowd-Source Tidal Flood Event Calibrations for Hampton Roads' Newest Water Level Sensors, Jon Derek Loftis, Harry Wang, and David R. Forrest
SOED Open Course: Seamless Modeling from Creek to Ocean on Unstructured Grids, Y. Joseph Zhang
Submissions from 2016
Street-Level Inundation Modeling of Hurricanes Matthew and Hermine and Emerging Flood Monitoring Methods in Hampton Roads, Jon Derek Loftis, H. V. Wang, and D R. Forrest
Submissions from 2015
Street-Level Predictive Modeling of Nuisance Flooding Verified via Crowdsourced App Data in Norfolk, VA, J. D. Loftis, H. V. Wang, and D R. Forrest
Towards Predicting Street-Level Inundation: using Operational Forecast Modeling Techniques during 2011 Hurricane Irene, J. D. Loftis, H. V. Wang, and D. R. Forrest
Submissions from 2012
Simulation of Coastal Inundation Instigated by Storm Surge and River Discharge in the Chesapeake Bay Using Sub-grid Modeling Coupled with Lidar Data, J. D. Loftis and H. V. Wang
