USV for Barbados Storm Tracking
An AutoNaut USV has been purchased by the Barbados Meteorological Services to provide data to assist with hurricane tracking.
Read moreAn AutoNaut USV has been purchased by the Barbados Meteorological Services to provide data to assist with hurricane tracking.
Read moreNortek’s AWAC sensors gather data to create “synthetic” hurricane scenarios that will help protect vulnerable communities in Colombia.
Read moreOver the past several years, severe storm surges, flooding and other life-threatening phenomena have affected coastal communities in myriad ways. When weather systems threaten the coast, emergency responders rely on high-precision storm modeling systems and real-time data to accurately predict hurricane activity and flooding threats, collaborate with each other, and make critical decisions that will protect the lives and property
Read moreThe Virginia Institute of Marine Science (VIMS) has launched a flood forecasting tool called Tidewatch that allows users to obtain 36-hour flood forecasts. The Tidewatch resource funnels several different types of data into one interface to create the forecasts, and it provides extremely granular information so users can focus in on an individual streets. Learn more about the flood forecasting
Read moreAn article published in Nature Communications shows that because “coral reefs serve as natural, low-crested, submerged breakwaters, which provide flood reduction benefits through wave breaking and wave energy attenuation,” coral reefs save billions of dollars each year in flood damage. Losing coral reefs results in worse flooding further inland for larger numbers of people, and it increases in the costs
Read moreThe U.S. Fish and Wildlife Service (FWS) has made available for public review and comment its proposed revisions to the boundaries of the John H. Chafee Coastal Barrier Resources System (CBRS) in Delaware, Massachusetts, New Hampshire, and New Jersey. The proposed revisions for 148 units (112 existing units and 36 proposed new units) are based on a rigorous set of
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