Physical Sciences and Mathematics Commons^™

'Catch The King' Tide Thank You And Review, Jon Derek Loftis

Presentations

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that mapped the King Tide's maximum inundation extents to validate and improve predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points collected by volunteers effectively breadcrumbed/traced the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017.

Response from the event's dedicated volunteers, fueled by the local media partners' coverage leading up to the event, and over …

'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, David R. Forrest

Presentations

Dr. Derek Loftis presented his recent research related to installing new water level sensors (and some of the early event data the network has captured during Hurricanes Jose and Maria) in many Hampton Roads municipalities with the StormSense Smart Cities project. This presentation also introduces information related VIMS efforts with the CCRFR and local news media in the organization of the 'Catch the King' Tide crowd-sourcing data event using the Sea Level Rise App.

Stormsense Project: Forecasting Flooding From Storm Surge, Rain, And Tide, Jon Derek Loftis, David R. Forrest, Kyle Spencer

Presentations

The objective of StormSense is to enhance the capability of communities to prepare and respond to the disastrous impacts of sea level rise and coastal flooding in ways that are replicable, scalable, measurable, and make a comparable difference worldwide. The StormSense Project is an inundation forecasting research initiative partially funded by the National Institute of Standards and Technology to advance the field of emergency preparedness for flooding resulting from storm surge, rain, and tides. The scope of the project encompasses the interests of coastal local governments wishing to enhance their emergency preparedness via a network of 'Internet of Things' (IoT)-enabled …

Street-Level Inundation Modeling Of Hurricanes Matthew And Hermine And Emerging Flood Monitoring Methods In Hampton Roads, Jon Derek Loftis, H. V. Wang, D R. Forrest

Presentations

No abstract provided.

Street-Level Predictive Modeling Of Nuisance Flooding Verified Via Crowdsourced App Data In Norfolk, Va, J. D. Loftis, H. V. Wang, D R. Forrest

Presentations

No abstract provided.

Towards Predicting Street-Level Inundation: Using Operational Forecast Modeling Techniques During 2011 Hurricane Irene, J. D. Loftis, H. V. Wang, D. R. Forrest

Presentations

Storm surge-induced coastal inundation poses numerous personal, commercial, industrial, and sociopolitical challenges for society. Flooding can be caused by the combination of storm surge and river-induced inland flooding in many locations throughout the coastal plain. The cross-disciplinary nature of the hydrodynamics involved (hydraulics, oceanography, and hydrology), coupled with the complexity of the atmospheric forcing, makes a numerical model the best approach for a comprehensive study of the dynamics of coastal inundation.

This study builds upon the lessons learned from forecast modeling experiences during 2011 Hurricane Irene in Tidewater Virginia, to ascertain the most effective way to approach predicting street-level inundation. …

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, H. V. Wang

Presentations

Sub-grid modeling is a novel method by which water level elevations on the sub-grid level can be obtained through the combination of water levels and velocities efficiently calculated at the coarse computational grid, the discretized bathymetric depths, and local friction parameters without resorting to solve the full set of equations. Sub-grid technology essentially allows velocity to be determined rationally and efficiently at the sub-grid level. This salient feature enables coastal flooding to be addressed in a single cross-scale model from the ocean to the upstream river channel without overly refining the grid resolution. To this end, high-resolution DEMs will be …