![]() In addition, data from temporary sensors and high-water marks occasionally obtained by the USGS in cooperation with the Federal Emergency Management Agency (FEMA), the U.S. Much of this information was provided via a few real-time tide gages focused on near-shore waters that supplemented and extended the National Oceanographic and Atmospheric Administration’s (NOAA) National Ocean Service (NOS) tide-gage network. That in turn, will promote coastal resilience, facilitate better planning, and provide more effective early warning of storm-driven flooding.įor decades, the USGS has provided critical information on near-shore storm hydrodynamics for decisions regarding emergency response and resource allocation before, during, and immediately after landfall of hurricanes and nor’easters. Documenting the height, extent, and timing of storm surge and understanding how overland storm tide and waves evolve and dissipate when they move across natural and man-made landscapes, is critical for improved storm-surge modeling. ![]() As we develop more effective coastal-management approaches, we have the opportunity to build on our experience and knowledge to prepare for and minimize risks from future storms. The landward extent of the surge (storm tide) transports saline water, sediment, and debris to constructed and ecologically sensitive environments that are, otherwise, rarely impacted by direct ocean waters. The energy of the surge and accompanying waves cause physical changes to the landscape. ![]() Past storms have shown that storm surge and waves are the primary drivers of coastal-community destruction and dramatic changes in the coastal and near-coastal environment. Scientific information, if reliably obtained and wisely applied, can strengthen our efforts to build resilient coastal communities before storms strike, and guide our response and recovery strategies. USGS hydrographer Keith Lambert installs a rapid deployment gage at New Mill Creek at Chesapeake, VA, in advance of Hurricane Dorian. (Credit: Blake Dudding, USGS) ![]()
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