scholarly journals Plume spreading test case for coastal ocean models

2021 ◽  
Author(s):  
Vera Fofonova ◽  
Tuomas Kärnä ◽  
Knut Klingbeil ◽  
Alexey Androsov ◽  
Ivan Kuznetsov ◽  
...  
Keyword(s):  
Frontal Zone ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Test Case ◽  
Plume Dynamics ◽  
Applied Model ◽  
Numerical Grid ◽  
Numerical Mixing ◽  
General Studies ◽  
Spreading Test

Abstract. We present a test case of river plume spreading to evaluate numerical methods used in coastal ocean modeling. The main characteristics of the plume dynamics are predicted analytically, but are difficult to reproduce numerically because of numerical mixing present in the models. Our test case reveals the level of numerical mixing as well as the ability of models to reproduce nonlinear processes and frontal zone dynamics. We propose an analysis of simulated plume spreading which may be useful in more general studies of plume dynamics. The major result of our comparative study is that accuracy in reproducing the analytical solution depends less on the type of applied model architecture or numerical grid than it does on the type of advection scheme.

scholarly journals Plume spreading test case for coastal ocean models

2021 ◽  
Vol 14 (11) ◽  
pp. 6945-6975
Author(s):  
Vera Fofonova​​​​​​​ ◽  
Tuomas Kärnä ◽  
Knut Klingbeil ◽  
Alexey Androsov ◽  
Ivan Kuznetsov ◽  
...  
Keyword(s):  
Numerical Solutions ◽  
Coastal Ocean ◽  
Ocean Modeling ◽  
Nonlinear Flow ◽  
Numerical Dissipation ◽  
Test Case ◽  
Plume Dynamics ◽  
Geostrophic Balance ◽  
Numerical Mixing ◽  
General Studies

Abstract. We present a test case of river plume spreading to evaluate numerical methods used in coastal ocean modeling. It includes an estuary–shelf system whose dynamics combine nonlinear flow regimes with sharp frontal boundaries and linear regimes with cross-shore geostrophic balance. This system is highly sensitive to physical or numerical dissipation and mixing. The main characteristics of the plume dynamics are predicted analytically but are difficult to reproduce numerically because of numerical mixing present in the models. Our test case reveals the level of numerical mixing as well as the ability of models to reproduce nonlinear processes and frontal zone dynamics. We document numerical solutions for the Thetis and FESOM-C models on an unstructured triangular mesh, as well as ones for the GETM and FESOM-C models on a quadrilateral mesh. We propose an analysis of simulated plume spreading which may be useful in more general studies of plume dynamics. The major result of our comparative study is that accuracy in reproducing the analytical solution depends less on the type of model discretization or computational grid than it does on the type of advection scheme.

Supplementary material to "Plume spreading test case for coastal ocean models"

2021 ◽  
Author(s):  
Vera Fofonova ◽  
Tuomas Kärnä ◽  
Knut Klingbeil ◽  
Alexey Androsov ◽  
Ivan Kuznetsov ◽  
...  
Keyword(s):  
Coastal Ocean ◽  
Test Case ◽  
Supplementary Material ◽  
Ocean Models ◽  
Spreading Test

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

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
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