Woods Hole Coastal and Marine Science Center

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The center is part of the USGS Coastal/Marine Hazards and Resources Program, which is the primary federal marine geology and physical science research program. The center's staff of 100 provides scientific information that contributes to decisions by other federal agencies, state and local entities, private organizations, industry, and the public about hazards, resource use and protection.

Woods Hole Research

Woods Hole Research

Read about our science projects, find out where we are working and why it matters

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Woods Hole News

Woods Hole News

Recent news items for Woods Hole Coastal and Marine Science Center

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Publications

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Year Published: 2019

Changes in hydrodynamics and wave energy as a result of seagrass decline along the shoreline of a microtidal back-barrier estuary

Seagrasses are marine flowering plants that provide key ecological services. In recent decades, multiple stressors have caused a worldwide decline in seagrass beds. Changes in bottom friction associated with seagrass loss are expected to influence the ability of estuarine systems to trap sediment inputs through local and regional changes in...

Donatelli, Carmine; Ganju, Neil Kamal; Kalra, Tarandeep S.; Fagherazzi, S; Leonardi, Nicoletta

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Year Published: 2019

Optimizing an inner-continental shelf geologic framework investigation through data repurposing and machine learning

The U.S. Geological Survey (USGS) and the National Oceanic Atmospheric Administration (NOAA) have collected approximately 5,400 km2 of geophysical and hydrographic data on the Atlantic continental shelf between Delaware and Virginia over the past decade and a half. Although originally acquired for different objectives, the comprehensive coverage...

Pendleton, Elizabeth A.; Brothers, Laura L.; Sweeney, Ed

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Year Published: 2019

Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model

Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability. We investigate sensitivity and skill of a model that predicts dynamic response likelihood to SLR across the northeastern U.S. by exploring several data inputs and outcomes. Using...

Lentz, Erika E.; Plant, Nathaniel G.; Thieler, E. Robert