Articles | Volume 12, issue 5
https://doi.org/10.5194/gmd-12-1847-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-1847-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling
Keith J. Roberts
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, USA
William J. Pringle
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, USA
Joannes J. Westerink
Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, USA
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64 citations as recorded by crossref.
- Wind–wave characterization and modeling in the Azores Archipelago N. Monteiro et al. 10.1016/j.oceaneng.2022.112395
- Evaluating hydrodynamics and implications to sediment transport for tidal restoration at Swan Cove Pool, Virginia J. Ikeda et al. 10.1080/24705357.2024.2347217
- Dissipation and Bathymetric Sensitivities in an Unstructured Mesh Global Tidal Model C. Blakely et al. 10.1029/2021JC018178
- Simplified models of wind-wave relationships in China's shallow-water coasts based on SWAN+ADCIRC simulations X. Hu et al. 10.1016/j.oceaneng.2024.117983
- Hydrodynamic and Wave Responses During Storm Surges on the Southern Brazilian Coast: A Real-Time Forecast System A. Khalid et al. 10.3390/w12123397
- Wave Climate Variability and Trends in Tuvalu Based on a 44‐Year High‐Resolution Wave Hindcast M. Wandres et al. 10.1029/2022JC019523
- Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07 S. Brus et al. 10.5194/gmd-14-2917-2021
- Three-dimensional structure of summer circulation in the Bohai Sea and its intraseasonal variability W. Wu et al. 10.1007/s10236-023-01576-6
- A Tsunami Generated by a Strike‐Slip Event: Constraints From GPS and SAR Data on the 2018 Palu Earthquake W. Simons et al. 10.1029/2022JB024191
- Hydrodynamic and Waves Response during Storm Surges on the Southern Brazilian Coast: A Hindcast Study A. de Lima et al. 10.3390/w12123538
- OPENCoastS: An open-access service for the automatic generation of coastal forecast systems A. Oliveira et al. 10.1016/j.envsoft.2019.104585
- Long-term characterisation of directional wave spectra in the Black Sea and the Sea of Azov K. Amarouche & A. Akpınar 10.1016/j.apor.2023.103783
- Hurricane Deposits on Carbonate Platforms: A Case Study of Hurricane Irma Deposits on Little Ambergris Cay, Turks and Caicos Islands S. Jamison‐Todd et al. 10.1029/2020JF005597
- Projecting future wave attenuation by vegetation from native and invasive saltmarsh species in the United States F. Cassalho et al. 10.1016/j.rsma.2023.103264
- Global storm tide modeling with ADCIRC v55: unstructured mesh design and performance W. Pringle et al. 10.5194/gmd-14-1125-2021
- Wind-driven nearshore overturning currents off the northeastern Shandong Peninsula in the Yellow Sea in winter L. Hu et al. 10.3389/fmars.2024.1478811
- Design and evaluation of an efficient high-precision ocean surface wave model with a multiscale grid system (MSG_Wav1.0) J. Li et al. 10.5194/gmd-16-6393-2023
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- Intercomparing atmospheric reanalysis products for hydrodynamic and wave modeling of extreme events during the open-water Arctic season F. Cassalho et al. 10.1080/15230430.2022.2059957
- On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models K. Roberts et al. 10.1016/j.ocemod.2019.101509
- Quantifying Mechanisms Responsible for Extreme Coastal Water Levels and Flooding during Severe Tropical Cyclone Harold in Tonga, Southwest Pacific M. Tu’uholoaki et al. 10.3390/jmse11061217
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- Two-dimensional finite element mesh generation algorithm for electromagnetic field calculation* C. Zhang et al. 10.1088/1674-1056/abaedf
- Learning Quantities of Interest from dynamical systems for observation-consistent inversion S. Mattis et al. 10.1016/j.cma.2021.114230
- Dynamic load balancing for predictions of storm surge and coastal flooding K. Roberts et al. 10.1016/j.envsoft.2021.105045
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- Parameter estimation with maximal updated densities M. Pilosov et al. 10.1016/j.cma.2023.115906
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- A high-resolution coupled circulation-wave model for regional dynamic downscaling of water levels and wind waves in the western North Atlantic ocean A. Al Azad & R. Marsooli 10.1016/j.oceaneng.2024.118869
- Spatial and temporal wave climate variability along the south coast of Sweden during 1959–2021 A. Adell et al. 10.1016/j.rsma.2023.103011
- Quantifying the effects of sea level rise driven marsh migration on wave attenuation F. Cassalho et al. 10.1007/s10661-023-12104-w
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- Assessing the potential long-term effects of sea-level rise on salt marsh’s coastal protective capacity under different climate pathway scenarios A. de Souza de Lima et al. 10.1007/s10661-024-12961-z
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- Scalable self attraction and loading calculations for unstructured ocean tide models S. Brus et al. 10.1016/j.ocemod.2023.102160
- Projected 21st Century Wind‐Wave Climate of Bass Strait and South‐East Australia: Comparison of EC‐Earth3 and ACCESS‐CM2 Climate Model Forcing J. Liu et al. 10.1029/2022JC018996
- A global unstructured, coupled, high-resolution hindcast of waves and storm surge L. Mentaschi et al. 10.3389/fmars.2023.1233679
- An automatic mesh generator for coupled 1D–2D hydrodynamic models Y. Kang & E. Kubatko 10.5194/gmd-17-1603-2024
- Meteotsunamis and other anomalous “tidal surge” events in Western Europe in Summer 2022 E. Renzi et al. 10.1063/5.0139220
- Integrating Climatological‐Hydrodynamic Modeling and Paleohurricane Records to Assess Storm Surge Risk A. Begmohammadi et al. 10.1029/2023JC020354
Latest update: 20 Nov 2024
Short summary
Computer simulations can be used to reproduce the dynamics of the ocean near the coast. These simulations often use a mesh of triangles to represent the domain since they can be orientated and disparately sized in such a way to accurately fit the coastline shape. This paper describes a software package (OceanMesh2D v1.0) that has been developed in order to automatically and objectively design triangular meshes based on geospatial data inputs that represent the coastline and ocean depths.
Computer simulations can be used to reproduce the dynamics of the ocean near the coast. These...