Articles | Volume 16, issue 9
https://doi.org/10.5194/gmd-16-2565-2023
© Author(s) 2023. 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-16-2565-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
11 May 2023
Development and technical paper |
| 11 May 2023
| 11 May 2023
Global seamless tidal simulation using a 3D unstructured-grid model (SCHISM v5.10.0)
Y. Joseph Zhang
CORRESPONDING AUTHOR
Center for Coastal Resource Management, Virginia Institute of Marine
Science, College of William & Mary, Gloucester Point, VA 23062, USA
Tomas Fernandez-Montblanc
Earth Sciences Department, University of Cadiz INMAR, Puerto Real,
11519, Spain
William Pringle
Environmental Science Division, Argonne National Laboratory, Lemont,
IL 60439, USA
Hao-Cheng Yu
Center for Coastal Resource Management, Virginia Institute of Marine
Science, College of William & Mary, Gloucester Point, VA 23062, USA
Linlin Cui
Center for Coastal Resource Management, Virginia Institute of Marine
Science, College of William & Mary, Gloucester Point, VA 23062, USA
Saeed Moghimi
Coastal Survey Development Lab, NOAA National Ocean Service, Silver Spring, MD 20910, USA
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Cited
18 citations as recorded by crossref.
- A two-way coupled wave–current high resolution hindcast for the South China Sea T. Bagnasco et al. https://doi.org/10.1016/j.apor.2025.104672
- Bathymetric mesh simplification for efficient two-dimensional barotropic tide modelling in New York Harbor N. Dyer et al. https://doi.org/10.1007/s10236-025-01740-0
- Abnormal surges and the effects of the Seto Inland Sea circulation in Hiroshima Bay, Japan J. Jeong et al. https://doi.org/10.3389/fmars.2024.1359288
- NAAC (v1.0): a seamless two-decade cross-scale simulation from the North American Atlantic Coast to tidal wetlands using the 3D unstructured-grid model SCHISM (v5.11.0) X. Cai et al. https://doi.org/10.5194/gmd-18-7435-2025
- Improving cross-scale hydrodynamic simulations in the Chesapeake Bay with physically based calibration W. Wu et al. https://doi.org/10.1016/j.ocemod.2026.102680
- Assessment of asymmetric scour and deposition patterns at cross-estuarine infrastructure based on vortex dynamics J. Wang et al. https://doi.org/10.1016/j.apor.2026.105063
- Total water level prediction at continental scale: Coastal ocean L. Cui et al. https://doi.org/10.1016/j.ocemod.2024.102451
- Impact of offshore wind farm monopiles on hydrodynamics interacting with wind-driven waves S. Hosseini et al. https://doi.org/10.1016/j.ocemod.2025.102521
- Assessing storm surge model performance: what error indicators can measure the model's skill? R. Campos-Caba et al. https://doi.org/10.5194/os-20-1513-2024
- A bias correction method for total water level prediction at continental scale H. Yoo et al. https://doi.org/10.1016/j.ocemod.2025.102642
- Characterization of significant wave height trends in the South China Sea based on wave hindcast results: A non-stationary extreme value approach T. Bagnasco et al. https://doi.org/10.1016/j.apor.2026.105153
- Toward a digital twin of the Great Barrier Reef: Impact of extreme model resolution on tidal simulations J. Hill et al. https://doi.org/10.1016/j.ocemod.2026.102723
- Resolving a fjord tidal jet with AGRIF two-way nesting: NEMO simulations of Quatsino sound, British Columbia, Canada Y. Lin & M. Dunphy https://doi.org/10.1007/s10236-026-01819-2
- Tropical cyclone induced compound flooding in Madagascar: a coupled modeling approach M. Khan et al. https://doi.org/10.1007/s11069-025-07209-z
- The role of wave setup on extreme water levels around Australia Y. Hetzel et al. https://doi.org/10.1016/j.oceaneng.2024.118340
- Unstructured Grid-Based River–Coastal Ocean Circulation Modeling towards a Digital Twin of the Seto Inland Sea J. Jeong & H. Lee https://doi.org/10.3390/app13148143
- A global unstructured, coupled, high-resolution hindcast of waves and storm surge L. Mentaschi et al. https://doi.org/10.3389/fmars.2023.1233679
- The Australian Climate Service Coupled circulation-wave Coastal Hazards Prediction System (CCHaPS): Development, implementation, and validation V. Hernaman et al. https://doi.org/10.1016/j.ocemod.2026.102731
18 citations as recorded by crossref.
- A two-way coupled wave–current high resolution hindcast for the South China Sea T. Bagnasco et al. https://doi.org/10.1016/j.apor.2025.104672
- Bathymetric mesh simplification for efficient two-dimensional barotropic tide modelling in New York Harbor N. Dyer et al. https://doi.org/10.1007/s10236-025-01740-0
- Abnormal surges and the effects of the Seto Inland Sea circulation in Hiroshima Bay, Japan J. Jeong et al. https://doi.org/10.3389/fmars.2024.1359288
- NAAC (v1.0): a seamless two-decade cross-scale simulation from the North American Atlantic Coast to tidal wetlands using the 3D unstructured-grid model SCHISM (v5.11.0) X. Cai et al. https://doi.org/10.5194/gmd-18-7435-2025
- Improving cross-scale hydrodynamic simulations in the Chesapeake Bay with physically based calibration W. Wu et al. https://doi.org/10.1016/j.ocemod.2026.102680
- Assessment of asymmetric scour and deposition patterns at cross-estuarine infrastructure based on vortex dynamics J. Wang et al. https://doi.org/10.1016/j.apor.2026.105063
- Total water level prediction at continental scale: Coastal ocean L. Cui et al. https://doi.org/10.1016/j.ocemod.2024.102451
- Impact of offshore wind farm monopiles on hydrodynamics interacting with wind-driven waves S. Hosseini et al. https://doi.org/10.1016/j.ocemod.2025.102521
- Assessing storm surge model performance: what error indicators can measure the model's skill? R. Campos-Caba et al. https://doi.org/10.5194/os-20-1513-2024
- A bias correction method for total water level prediction at continental scale H. Yoo et al. https://doi.org/10.1016/j.ocemod.2025.102642
- Characterization of significant wave height trends in the South China Sea based on wave hindcast results: A non-stationary extreme value approach T. Bagnasco et al. https://doi.org/10.1016/j.apor.2026.105153
- Toward a digital twin of the Great Barrier Reef: Impact of extreme model resolution on tidal simulations J. Hill et al. https://doi.org/10.1016/j.ocemod.2026.102723
- Resolving a fjord tidal jet with AGRIF two-way nesting: NEMO simulations of Quatsino sound, British Columbia, Canada Y. Lin & M. Dunphy https://doi.org/10.1007/s10236-026-01819-2
- Tropical cyclone induced compound flooding in Madagascar: a coupled modeling approach M. Khan et al. https://doi.org/10.1007/s11069-025-07209-z
- The role of wave setup on extreme water levels around Australia Y. Hetzel et al. https://doi.org/10.1016/j.oceaneng.2024.118340
- Unstructured Grid-Based River–Coastal Ocean Circulation Modeling towards a Digital Twin of the Seto Inland Sea J. Jeong & H. Lee https://doi.org/10.3390/app13148143
- A global unstructured, coupled, high-resolution hindcast of waves and storm surge L. Mentaschi et al. https://doi.org/10.3389/fmars.2023.1233679
- The Australian Climate Service Coupled circulation-wave Coastal Hazards Prediction System (CCHaPS): Development, implementation, and validation V. Hernaman et al. https://doi.org/10.1016/j.ocemod.2026.102731
Saved (final revised paper)
Latest update: 06 Jul 2026
Short summary
Simulating global ocean from deep basins to coastal areas is a daunting task but is important for disaster mitigation efforts. We present a new 3D global ocean model on flexible mesh to study both tidal and nontidal processes and total water prediction. We demonstrate the potential for
seamlesssimulation, on a single mesh, from the global ocean to a few estuaries along the US West Coast. The model can serve as the backbone of a global tide surge and compound flooding forecasting framework.
Simulating global ocean from deep basins to coastal areas is a daunting task but is important...
