Coastal Ocean Modeling and Observation Program (COMOP-II)

2001 ◽  
Author(s):  
Scott M. Glenn ◽  
Dale B. Haidvogel ◽  
Oscar M. Schofield ◽  
John Wilkin
Keyword(s):  
Coastal Ocean ◽  
Ocean Modeling ◽  
Observation Program

Coastal Ocean Modeling and Observation Program

2002 ◽  
Author(s):  
Scott Glenn ◽  
Dale Haidvogel ◽  
Oscar Schofield ◽  
John Wilkin
Keyword(s):  
Coastal Ocean ◽  
Ocean Modeling ◽  
Observation Program

scholarly journals The Evolution and Outcomes of a Collaborative Testbed for Predicting Coastal Threats

2020 ◽  
Vol 8 (8) ◽  
pp. 612
Author(s):  
Charles Reid Nichols ◽  
Lynn Donelson Wright
Keyword(s):  
Access Network ◽  
Well Being ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
South Atlantic Bight ◽  
Research Association ◽  
Time Data ◽  
Distributed Sensors ◽  
Environmental Prediction ◽  
Ocean Observing

Beginning in 2003, the Southeastern Universities Research Association (SURA) enabled an open-access network of distributed sensors and linked computer models through the SURA Coastal Ocean Observing and Predicting (SCOOP) program. The goal was to support collaborations among universities, government, and industry to advance integrated observation and modeling systems. SCOOP improved the path to operational real-time data-guided predictions and forecasts of coastal ocean processes. This was critical to the maritime infrastructure of the U.S. and to the well-being of coastal communities. SCOOP integrated and expanded observations from the Gulf of Mexico, the South Atlantic Bight, the Middle Atlantic Bight, and the Chesapeake Bay. From these successes, a Coastal and Ocean Modeling Testbed (COMT) evolved with National Oceanic and Atmospheric Administration (NOAA) funding via the Integrated Ocean Observing System (IOOS) to facilitate the transition of key models from research to operations. Since 2010, COMT has been a conduit between the research community and the federal government for sharing and improving models and software tools. SCOOP and COMT have been based on strong partnerships among universities and U.S. agencies that have missions in ocean and coastal environmental prediction. During SURA’s COMT project, which ended September 2018, significant progress was made in evaluating the performance of models that are progressively becoming operational. COMT successes are ongoing.

scholarly journals OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling

2019 ◽  
Vol 12 (5) ◽  
pp. 1847-1868 ◽  
Author(s):  
Keith J. Roberts ◽  
William J. Pringle ◽  
Joannes J. Westerink
Keyword(s):  
Ocean Circulation ◽  
Mesh Generation ◽  
Mesh Size ◽  
Unstructured Meshes ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Force Balance ◽  
Generation Process ◽  
Two Dimensional ◽  
Worst Case

Abstract. OceanMesh2D is a set of MATLAB functions with preprocessing and post-processing utilities to generate two-dimensional (2-D) unstructured meshes for coastal ocean circulation models. Mesh resolution is controlled according to a variety of feature-driven geometric and topo-bathymetric functions. Mesh generation is achieved through a force balance algorithm to locate vertices and a number of topological improvement strategies aimed at improving the worst-case triangle quality. The placement of vertices along the mesh boundary is adapted automatically according to the mesh size function, eliminating the need for contour simplification algorithms. The software expresses the mesh design and generation process via an objected-oriented framework that facilitates efficient workflows that are flexible and automatic. This paper illustrates the various capabilities of the software and demonstrates its utility in realistic applications by producing high-quality, multiscale, unstructured meshes.

scholarly journals Development, implementation, and validation of a California coastal ocean modeling, data assimilation, and forecasting system

2018 ◽  
Vol 151 ◽  
pp. 49-63 ◽  
Author(s):  
Yi Chao ◽  
John D. Farrara ◽  
Hongchun Zhang ◽  
Kevin J. Armenta ◽  
Luca Centurioni ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Forecasting System ◽  
Modeling Data

Tracking floating marine litter in the coastal area by combining operational ocean modelling and remote observation systems.

2021 ◽  
Author(s):  
Matthias Delpey ◽  
Amandine Declerck ◽  
Irati Epelde ◽  
Thibaut Voirand ◽  
Ivan Manso-Navarte ◽  
...  
Keyword(s):  
Coastal Area ◽  
Decision Aid ◽  
Monitoring Program ◽  
Coastal Ocean ◽  
End Users ◽  
Ocean Modeling ◽  
Video Monitoring ◽  
Bay Of Biscay ◽  
Transport Modelling ◽  
Marine Litter

<p>Keywords: marine litter; coastal ocean modeling; video monitoring; satellite observation; Bay of Biscay</p><p>The service “Floating Marine Litter Tracking”, or “FML-TRACK” is a downstream service from Copernicus Marine Service, aiming at providing an operational support to reduce Floating Marine Litter (FML) in the coastal area. More precisely, FML-TRACK aims at supporting FML reduction strategies both downstream (interception at sea with collect vessels and on beaches with cleaning facilities) and upstream (source identification and reduction), by tracking the dispersion of FML in estuaries and in the coastal ocean. Using a combination of innovative detection technologies and operational metocean modelling, the service produces tailored decision-aid indicators to monitor and guide FML collect operations, including day-to-day operation support in near real time. Guidance offered by these indicators help maximizing the amount of FML removed from the natural environment, while at the same time contributing to reduce the cost and impacts of operations (i.e. cost per kilogram of collected FML, fuel consumption, carbon footprint). Moreover, tracking technologies contribute to the reduction of FML emission at the source, by helping identifying most probable emission sectors depending on metocean conditions.</p><p>To achieve these purposes, FML-TRACK combines innovative detection solutions based on video monitoring in rivers and satellite imagery in the coastal area, together with metocean-based FML transport modelling. In the operational mode of the service, it provides a decision-aid dashboard supporting day-to-day FML collect operations. The dashboard offers indicators aiming at guiding FML collect operations, to monitor and optimize their efficiency. It especially provides a tracking of FML in the coastal area and a prediction of concentration hotspots to guide collect vessel at sea; and anticipate massive onshore arrivals to help beach cleaning at land.</p><p>The service was demonstrated in the coastal area of the South-Eastern Bay of Biscay, part of the Iberian-Biscay-Ireland regional seas. It took benefit of pre-existing components developed during the former LIFE LEMA program, which were further improved and complemented to bring the tool and service to a new stage, compatible with a realistic application in an operational context.</p><p>Main end-users of the service are coastal public administrations involved in the reduction of FML in their region. End-users can also be private companies operating sea or beach cleaning. Fishermen who can be involved in FML collect effort (actively or passively) may also use the service as a support to operations and/or to participate in the monitoring program. Finally, the service may also be of interest for NGOs and scientists committed to the study of and fight against FML, through either participation to the monitoring and/or use of the database for science, awareness and education.</p>

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