Field observation of wind waves and current velocity (2020) along the Fog Point Living Shoreline, Maryland
February 21, 2024
This dataset contains measurements of wave height, peak wave period, and water depth taken every 0.5 hours from February 13 to June 12, 2020, at three wave gauge locations along the Fog Point shoreline in Martin National Wildlife Refuge, Maryland. These wave gauges were continuously sampled at 10 Hz, capturing 20-minute bursts every 30 minutes (peak wave periods longer than 7s were removed). Additionally, the dataset includes measurements of current velocity at one location during the same period. A tilt current meter (TCM, Lowell Instruments LLC, short-TCMs, range of 0-60 cm/s), consisting of a tilt-corrected compass in a buoyant casing and attached to a concrete tile at the sediment surface, was used to measure current velocities. The TCM was sampled at 16 Hz in bursts of 20 seconds. The measured wave and current data were used for the analysis of wave attenuation along the living shoreline.
Citation Information
Publication Year | 2024 |
---|---|
Title | Field observation of wind waves and current velocity (2020) along the Fog Point Living Shoreline, Maryland |
DOI | 10.5066/P9TXZX5W |
Authors | Qin Chen, William D Capurso, Nan Wang, Lukasz M Niemoczynski, Matt Whitbeck, Ling Zhu, Gregg Snedden, Hongqing Wang |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Wetland and Aquatic Research Center - Gainesville, FL |
Rights | This work is marked with CC0 1.0 Universal |
Related
Monitoring of wave, current, and sediment dynamics along the Fog Point Living Shoreline, Glenn Martin National Wildlife Refuge, Maryland
Living shorelines with salt marsh species, rock breakwaters, and sand nourishment were built along the coastal areas in the Glenn Martin National Wildlife Refuge, Maryland, in 2016 in response to Hurricane Sandy (2012). The Fog Point living shoreline at Glenn Martin National Wildlife Refuge was designed with the “headland - breakwater - embayment” pattern. Scientists from the U.S...
Authors
H. Wang, Q. Chen, W.D. Capurso, N. Wang, L.M. Niemoczynski, M. Whitbeck, L. Zhu, G.A. Snedden, C.A. Wilson, M.S. Brownley
Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA
Living shorelines as a nature-based solution for climate change adaptation were constructed in many places around the world. The success of this type of projects requires long-term monitoring for adaptive management. The paper presents a novel framework leveraging scientific machine learning methods for accurate and rapid prediction of long-term hydrodynamic forcing impacting living...
Authors
Nan Wang, Q. Chen, Hongqing Wang, William D. Capurso, L.M. Niemoczynski, Ling Zhu, Gregg Snedden
Related
Monitoring of wave, current, and sediment dynamics along the Fog Point Living Shoreline, Glenn Martin National Wildlife Refuge, Maryland
Living shorelines with salt marsh species, rock breakwaters, and sand nourishment were built along the coastal areas in the Glenn Martin National Wildlife Refuge, Maryland, in 2016 in response to Hurricane Sandy (2012). The Fog Point living shoreline at Glenn Martin National Wildlife Refuge was designed with the “headland - breakwater - embayment” pattern. Scientists from the U.S...
Authors
H. Wang, Q. Chen, W.D. Capurso, N. Wang, L.M. Niemoczynski, M. Whitbeck, L. Zhu, G.A. Snedden, C.A. Wilson, M.S. Brownley
Field observations and long short-term memory modeling of spectral wave evolution at living shorelines in Chesapeake Bay, USA
Living shorelines as a nature-based solution for climate change adaptation were constructed in many places around the world. The success of this type of projects requires long-term monitoring for adaptive management. The paper presents a novel framework leveraging scientific machine learning methods for accurate and rapid prediction of long-term hydrodynamic forcing impacting living...
Authors
Nan Wang, Q. Chen, Hongqing Wang, William D. Capurso, L.M. Niemoczynski, Ling Zhu, Gregg Snedden