StormSense
The objective of StormSense, an award-winning, smart cities research project is to proliferate low-cost, low-energy water level sensors 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. These goals aid the collaborative nature of StormSense as an active participant in the Global City Teams Challenge, and it was initially funded by NIST through an announcement from the White House in 2016.
Click on a core component of the project to learn more.
In pursuit of this, the project works to enhance emergency preparedness for inundation-related threats by advancing research to help better predict flooding resulting from storm surge, rain, and tides.
So far, StormSense has installed more than 50 water level sensors through cooperative agreements with municipal governments throughout Hampton Roads, Virginia. The system also ingests data from 25 more sensors outside its network from NOAA and USGS to provide a more comprehensive at-a-glance view of real-time flood conditions in Tidewater Virginia.
For additional technical details regarding the system, please consult our peer-reviewed publications.
This is all accomplished by installing low-cost water level sensors, which communicate via the Internet of Things (IoT) to routinely monitor and publicly report water levels to the StormSense cloud from each sensor every 6 minutes. StormSense is a regional partnership with many flood-resilient communities working together to develop a standardized, automated water level monitoring system that integrates the many disparate data sources needed to improve VIMS' inundation forecasting efforts, including sensors for wind speed, air pressure, rainfall, and water levels, as noted in these recent TV news media spots:
StormSense on WVEC TV 13:
StormSense on WAVY TV 10:
StormSense on WTKR TV 3:
Each participating partner in the project has made strides to apply the StormSense regional water level monitoring system to their community's specific needs, such that it effectively "senses storms' impacts" and reports on developing conditions in an expedient manner. For example:
- VIMS has integrated many of StormSense's incoming measurements directly into its 36-hr tidal forecasting system, via Tidewatch Charts. Though this service, the observations from StormSense, VIMS, the USGS, and NOAA are fed to a harmonic extraction filter to aid in near-term tidal prediction to geospatially translate this information into the Tidewatch Forecast Map. As StormSense expands beyond Hampton Roads to all of Tidewater VA, and ingests more rain gauges into the service, the goal is to provide (and validate) these forecasts throughout VA's coastal plain, and also integrate rainfall inputs into the forecast map, respectively.
- Newport News has integrated StormSense into their Summer 2018 launch of their NNAlert system. The subscriber-based system advises their citizens or hazardous conditions, and the city's 10 new StormSense sensors (installed in 2017-2018) send out automated flood alerts relative to critical thresholds for inundation at each site. This helps raise the City's Community Rating in FEMA's Nat'l Flood Insurance Program, and this, in turn, provides tangible cost savings on flood insurance premiums for homeowners living in the city's floodplains.
- Virginia Beach has developed interactive voice-query support via Amazon Alexa (through one of StormSense's many awards, detailed in the expandable table below). The user can query their compatible smart home or mobile device via Amazon's Reverb App to ask Alexa the real-time water levels and atmospheric conditions at StormSense and USGS sensors near them. These data are also fed to data labels on the StormSense.com map.
The project has received numerous awards since its inception, click the collapsible arrows below for more information on each recent accolade:
2024 Smart Cities North America Winner (Smart Water Category)On March 27, 2024, FloodVISION-AI was recognized with International Data Corp. (IDC) Government Insights’ Smart Cities North America Award (SCNAA) in the 'Smart Water' category for research advances developing StormSense's newest AI water level sensor. SCNAA winners illustrate best practice examples of how forward-thinking municipalities are effectively leveraging technology and innovation to offer sustainable, new services and economic opportunities to meet the needs and expectations of diverse communities.
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2024 Smart 20 Awards (Networks)StormSense was awarded a Smart 20 Award as one of the 20 most transformative and innovative projects of the year by Smart Cities Connect at their annual Conference & Expo in May 2024 in Cary, NC. FloodVISION-AI (Flood Visual Inference of Stage Identification by Observation Networks - Artificial Intelligence) aids Virginia Beach’s flooding resiliency initiatives through the use of several web cameras tointerpret water levels from camera imagery that feed into the already established network of StormSense water-level sensors. |
2023 VA Commonwealth Technology AwardFloodVISION-AI was recognized with a Commonwealth of Virginia Innovative Technology Symposium (COVITS) award in September 2023. StormSense's newest passive remote sensing web camera functions as a water level sensor by using machine learning and edge detection algorithms to extract water elevations in real time. This recognition was a result of the collaborative efforts of the City of Virginia Beach, the USGS, VIMS, and Commonwealth Center of Recurrent Flooding Resiliency.
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2019 VA Governor's Technology AwardsStormSense was the recipient of two Governor's Technology Awards at the Commonwealth of Virginia’s Innovative Technology Symposium in 2019. The annual meeting of senior-level executives and technology decision-makers from state and local government, business, and education marked a particularly fierce competition for the awards, but ultimately recognized StormSense and StormSense Alerts with awards. StormSense received the award for "Cross-Boundary Collaboration on IT Service Delivery Initiatives," while StormSense Alerts — which automatically issues a warning to users when waters in Newport News reach pre-established critical inundation thresholds — earned the award for "Innovative Use of Technology in Local Government." Governor Northam kicked off the symposium, which provides opportunities to identify, discuss, and propose solutions to Virginia’s critical technology issues. StormSense's recognition was a result of the efforts of Commonwealth Center of Recurrent Flooding Resiliency, the City of Virginia Beach, the City of Newport News, the City of Norfolk, and the City of Portsmouth.
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2019 ESRI Special Achievement in GIS AwardStormSense was nominated by ESRI and ultimately chosen as one of 175 project-based web portals from more than 100,000 Esri clients worldwide for recognition in the 2019 Special Achievement in Geographic Information Systems Category. StormSense's success in this endeavor further acknowledges VIMS along with the Virginia Commonwealth Center of Recurrent Flooding Resiliency, City of Virginia Beach, City of Newport News, and the City of Norfolk.
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2018 Government Innovation Award (Public Sector Innovation)StormSense was a winner in the 2018 Government Innovation Awards in the Public Sector Innovations Category. StormSense's success in this endeavor is acknowledges the following organizations' excellence in collaborative efforts in public sector innovation: Virginia Commonwealth Center of Recurrent Flooding Resiliency; City of Virginia Beach; City of Newport News; City of Norfolk; and the National Institute of Standards and Technology.
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2018 Smart City Infrastructure Challenge Winner (Hampton Roads - RCR)
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2018 Smart Cities North America Winner (Smart Water Category)StormSense won International Data Corp. (IDC)'s 2018 Smart Cities North America Awards in the 'Smart Water' Category. StormSense was recognized as a finalist on March 16th, and through a 'people's choice' open survey over 4 weeks, >3000 survey responses chose our project over the other finalists in our category.
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2018 Exemplary Case Study & Innovation AwardStormSense was recognized as one of the Alliance for Innovation's 21 featured case studies at their Transforming Local Government Conference in Tacoma, WA. The presentation provided a unique opportunity to showcase the interactive audio query feature for StormSense's water level network and solicit feedback for more innovative response protocols. VIMS and Virginia Beach completed the competitive interview process to present StormSense as Virginia Beach's case study. We separately submitted StormSense to their top-tier innovation award competition and won! See the award video here. |
2018 Smart 50 Award (Networks)StormSense was awarded a Smart 50 Award as one of the 50 most transformative smart projects of the year by Smart Cities Connect at their Conference & Expo in Kansas City, MO. The project is listed in the Networks Award Category on their site. The project was also featured on Smart Cities Connect's website in a pre-awards show banquet interview. |
2018 CIO 100 Awards (Networks)StormSense was awarded a CIO 100 Award by tech media company IDG. The City of Virginia Beach has been named a recipient of the 2018 award, which recognizes organizations worldwide that have high levels of excellence in information technology. The StormSense project was honored as a standout initiative for its use of internet of things sensors, artificial intelligence and voice assistance integration. Sensors are placed in flood-prone areas throughout the city, to collect data for current and future analysis. Winners were recognized during at an awards ceremony on Aug. 15 in California. |
2017 GovLoop Top 30 Government Innovation (Cloud Computing)
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2017 Best Practices Award, Amazon Web Services' City on a Cloud (Large City)
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2017 Replicable Smart City Technology, Global City Teams Challenge
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2016 2nd Prize Market Bridge Challenge (Coastal Resilience Competition)
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Prominent Project Publications, Presentations, and Reports:
Loftis, J.D., Forrest, D., Katragadda, K., Spencer, K., Organski, T., Nguyen, C. & Rhee, S. (2018). StormSense: A New Integrated Network of IoT Water Level Sensors in the Smart Cities of Hampton Roads, VA. Marine Technology Society Journal, 52(2): 56-67. URL
Click to Access Personal Use Paper CopyThe Marine Technology Society is a not-for-profit, international, professional association. Founded in 1963, the Society believes that the advancement of marine technology and the productive, sustainable use of the oceans depend upon the active exchange of ideas between government, industry and academia. See www.mtsociety.org.For personal use only; not to be distributed in any format. |
Boon, J.D., Mitchell, M., Loftis, J.D. & Malmquist, D.M. (2018). Anthropocene Sea Level Change: A History of Recent Trends Observed in the U.S. East, Gulf, and West Coast Regions. Special Report in Applied Marine Science and Ocean Engineering (SRAMSOE). No. 467. Virginia Institute of Marine Science, College of William and Mary. URL
Loftis, J.D. , Katragadda, K., Rhee, S. & Nguyen, C. (2018). StormSense: A Blueprint for Coastal Flood Forecast Information & Automated Alert Messaging Systems. SCOPE '18 Proceedings of the 3rd International Workshop on Science of Smart City Operations and Platforms Engineering , 3(1). URL
Loftis, J.D., Mitchell, M., Atkinson, L., Hamlington, B., Allen, T.R., Forrest, D., Updyke, T., Tahvildari, N., Bekaert, D. & Bushnell, M. (2018). Integrated Ocean, Earth and Atmospheric Observations in Hampton Roads, Virginia. Marine Technology Society Journal, 52(2): 68-83. URL
Click to Access Personal Use Paper CopyThe Marine Technology Society is a not-for-profit, international, professional association. Founded in 1963, the Society believes that the advancement of marine technology and the productive, sustainable use of the oceans depend upon the active exchange of ideas between government, industry and academia. See www.mtsociety.org.For personal use only; not to be distributed in any format. |
Loftis, J.D., Wang, H., Forrest, D., Rhee, S., Nguyen, C. (2017). Emerging Flood Model Validation
Frameworks for Street-Level Inundation Modeling with StormSense. SCOPE '17 Proceedings of the 2nd International Workshop on Science of Smart City Operations and Platforms Engineering, 2(1), 13-18. URL