#  StormSense 

 



 ![](/sites/g/files/omnuum10826/files/datasmart/files/storm_sense_1_feature.png)

 

Jon Loftis from the College of WIlliam and Mary used near-real-time sensors and other regional data sources to predict flooding from storm surge, rain, and tides in Virginia. In 2016 Loftis partnered with Newport News and other Hampton Roads coastal communities in Virginia, using grant funding from the National Institute of Science and Technology; he set up sensors on bridges and build the StormSense site to continually monitor water levels to accurately forecast storms and warn regional residents about flooding dangers. StormSense has since won multiple awards.



 

##  Stats 

Dataset(s): Installed water level sensors, Virginia Institute of Marine Science (VIMS) and VIMS TideWatch Network

Visualization: Map, Predictive Analytics

Jurisdiction: Hampton Roads, VA; Newport News, VA; Virginia Beach, VA; Norfolk, VA

Developed by: Jon Derek Loftis

Partners: College of William and Mary, Virginia Institute of Marine Science



 

 



 [ Project link arrow\_circle\_right ](https://vims-wm.maps.arcgis.com/apps/MapJournal/index.html?appid=62c80853313743f3acf5a83ab420d015) 

 

 

 

 

  [### The Importance of Data for Forecasting and Tracking Floods

 ](/news/article/importance-data-forecasting-and-tracking-floods) May 22, 2019 

 May 22, 2019 Disaster Management On April 29th Joko Widodo, the president of Indonesia, announced that Jakarta would no longer be the seat of national government. Although a new location has yet to be named, one major consideration for the new capital... 

 

 

   ![A road closed due to flooding](/sites/g/files/omnuum10826/files/styles/hwp_16_9__480x270/public/datasmart/files/floodingsmall.jpg?itok=LweO_p_p)