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In preparation for Hurricane Lee, scientists at the USGS deployed sensors and surveyed the U.S. Northeast coast to monitor the impacts of the storm. Monitoring hurricane impacts helps us better understand how coastal landscapes change in response to storms and allows us to validate models that forecast the dynamics of coastal storm impacts.

High waves and sandy vegetated beach, people watching the waves
Hurricane Lee storm surge at Head of the Meadow Beach in Truro, Massachusetts on September 16, 2023.

Hurricane Lee made landfall on Saturday, September 16, 2023, in Nova Scotia, Canada and posed threats to communities along the Northeast coast. When a hurricane is predicted to make landfall in the U.S. or its territories, the USGS has a wide range of scientific tools and forecast models that can inform decision makers, emergency managers and communities to help them better prepare for, respond to and recover from the storm. 

In advance of the storm, USGS scientists from the New England Water Science Center installed 15 internal logging pressure sensors at sites along Maine, New Hampshire and Massachusetts sandy coastlines as part of the National Oceanographic Partnership Program (NOPP). These sensors were attached to existing infrastructure, including pier pilings, beach walkways, power poles, and rock jetties, to measure storm surge and flooding caused by the hurricane. Several of the sites included cross-shore transects of 2-3 pressure sensors to measure the storm-induced waves and water levels over the course of the storm. 

USGS scientists from the Woods Hole Coastal and Marine Science Center (WHCMSC) also installed pressure sensors at four sites along the coast of Cape Cod, Massachusetts, including Sandwich Marsh tidal creek in Sandwich, Head of the Meadow Beach in Truro, Marconi Beach in Wellfleet, and Nauset Light Beach in Eastham. To deploy the pressure sensors, 8-foot fence posts were hammered into the ground and the sensors were attached and marked with buoys and anchors. Once the storm passed the pressure sensors were recovered, and the fence posts were removed from the beach. 


Two people installing equipment on sandy beach, vegetation in the background
Eric Marsjanik and Jin-Si Over (USGS) installing pressure sensors attached to 8-foot fence posts marked with buoys and anchors to measure storm surge and flooding caused by Hurricane Lee.
Two people on sandy beach digging up a fence post
Mira Anderberg and Marie Bartlett (USGS) digging up a fence post that had a pressure sensor attached to measure storm surge and flooding during Hurricane Lee.


While pressure sensors were being deployed on land, more preparation to monitor the hurricane was happening in the air. As part of NOPP, the USGS, in coordination with researchers from Scripps Institution of Oceanography in La Jolla, California, boarded a U.S. Navy P3 Orion aircraft from the VXS-1 squadron based out of Naval Air Station Patuxent River in Maryland. They deployed 11 buoys into the Gulf of Maine, where they drifted and measured waves, temperature and physical ocean properties. The data are transmitted real time for comparison with forecasts by numerical models. 

Additionally, USGS WHCMSC scientists, in collaboration with the Cape Cod National Seashore and the National Parks Service, conducted drone flights and GPS surveys to capture beach profile changes before and after the storm. These profiles and drone data allow scientists to visualize the movement of sediment along the beach.  


Two people in flight suits standing together smiling next to an aircraft on a runway
Dr. John Warner, USGS, and Dr. Martha Schonau, Scripps, before deploying 11 buoys from a U.S. Navy P3 Orion aircraft from the VXS-1 squadron based out of Naval Air Station Patuxent River in Maryland. These buoys measure waves, temperature, and physical ocean properties. 
Two people in parking lot standing in front of drone
USGS scientists Jen Cramer and Jin-Si Over pilot a drone at Nauset Light Beach in Nauset, MA. Drone imagery will be used to monitor coastal change before and after Hurricane Lee. Photo by Mira Anderberg, USGS.


Data derived from the sensors and surveys will be helpful in tracking storm trends. The information can be used to assess how well dunes and wetlands can reduce storm damage, inform land use practices and help identify places of highest risk of coastal change. Data from this storm is also used to validate the models used to forecast coastal storm impacts. 

The coupled ocean-atmosphere-waves-sediment transport (COAWST) modeling system was run daily to provide daily plots comparing model output with existing wave and water-level measurements. The daily plots showed the maximum expected wave heights and water levels due to storm surge in the Gulf of Maine and the New York Bight. 

Data collected for Hurricane Lee will be available on the USGS Flood Event Viewer, as well as the Coastal Change Hazards Portal.  

These data are used to assess the skill of the Total Water Level and Coastal Change Forecast Viewer, as well as to improve predictions for future storms. 

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