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