Articles | Volume 10, issue 6
https://doi.org/10.5194/gmd-10-2117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-2117-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
JIGSAW-GEO (1.0): locally orthogonal staggered unstructured grid generation for general circulation modelling on the sphere
Darren Engwirda
CORRESPONDING AUTHOR
Department of Earth, Atmospheric and Planetary Sciences, Room 54-1517, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, USA
NASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA
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44 citations as recorded by crossref.
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- MPAS‐Ocean Simulation Quality for Variable‐Resolution North American Coastal Meshes K. Hoch et al. https://doi.org/10.1029/2019MS001848
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- Topological Relationship‐Based Flow Direction Modeling: Stream Burning and Depression Filling C. Liao et al. https://doi.org/10.1029/2022MS003487
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- Numerical Weather Prediction at 200 m Local Resolution Based on an Unstructured Grid Global Model W. Sze et al. https://doi.org/10.1029/2022EA002342
44 citations as recorded by crossref.
- Advancing Dynamical Cores of Oceanic Models across All Scales F. Lemarié et al. https://doi.org/10.1175/BAMS-D-18-0303.1
- MPAS‐Ocean Simulation Quality for Variable‐Resolution North American Coastal Meshes K. Hoch et al. https://doi.org/10.1029/2019MS001848
- MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids M. Hoffman et al. https://doi.org/10.5194/gmd-11-3747-2018
- A Flux-Form Semi-Lagrangian advection scheme for tracer transport on arbitrary meshes M. Herzfeld & D. Engwirda https://doi.org/10.1016/j.ocemod.2022.102140
- A nonhydrostatic formulation for MPAS-Ocean S. Calandrini et al. https://doi.org/10.1016/j.ocemod.2025.102527
- Radial surface currents from space: An opportunity for mean dynamic topography estimation? C. Neyers & J. Brockmann https://doi.org/10.1016/j.asr.2024.05.041
- Topography-based local spherical Voronoi grid refinement on classical and moist shallow-water finite-volume models L. Santos & P. Peixoto https://doi.org/10.5194/gmd-14-6919-2021
- Global Barotropic Tide Modeling Using Inline Self‐Attraction and Loading in MPAS‐Ocean K. Barton et al. https://doi.org/10.1029/2022MS003207
- OceanMesh2D 1.0: MATLAB-based software for two-dimensional unstructured mesh generation in coastal ocean modeling K. Roberts et al. https://doi.org/10.5194/gmd-12-1847-2019
- ICON‐O: The Ocean Component of the ICON Earth System Model—Global Simulation Characteristics and Local Telescoping Capability P. Korn et al. https://doi.org/10.1029/2021MS002952
- Performance of MPAS-A and WRF in predicting and simulating western North Pacific tropical cyclone tracks and intensities Y. Lui et al. https://doi.org/10.1007/s00704-020-03444-5
- Topological Relationship‐Based Flow Direction Modeling: Stream Burning and Depression Filling C. Liao et al. https://doi.org/10.1029/2022MS003487
- Storm Surge Modeling as an Application of Local Time‐Stepping in MPAS‐Ocean J. Lilly et al. https://doi.org/10.1029/2022MS003327
- MPAS-Seaice (v1.0.0): sea-ice dynamics on unstructured Voronoi meshes A. Turner et al. https://doi.org/10.5194/gmd-15-3721-2022
- A coastal unstructured model using Voronoi meshes and C-grid staggering M. Herzfeld et al. https://doi.org/10.1016/j.ocemod.2020.101599
- Topological Relationship‐Based Flow Direction Modeling: Mesh‐Independent River Networks Representation C. Liao et al. https://doi.org/10.1029/2022MS003089
- Atlantic Water warming increases melt below Northeast Greenland’s last floating ice tongue C. Wekerle et al. https://doi.org/10.1038/s41467-024-45650-z
- On the automatic and a priori design of unstructured mesh resolution for coastal ocean circulation models K. Roberts et al. https://doi.org/10.1016/j.ocemod.2019.101509
- The DOE E3SM Model Version 2: Overview of the Physical Model and Initial Model Evaluation J. Golaz et al. https://doi.org/10.1029/2022MS003156
- Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh D. Feng et al. https://doi.org/10.5194/hess-26-5473-2022
- Development of a continuous spatiotemporal finite element-based representation of the mean sea surface M. Borlinghaus et al. https://doi.org/10.1007/s00190-023-01709-1
- Coupling framework (1.0) for the Úa (2023b) ice sheet model and the FESOM-1.4 z-coordinate ocean model in an Antarctic domain O. Richter et al. https://doi.org/10.5194/gmd-18-2945-2025
- An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics Z. Tan et al. https://doi.org/10.5194/hess-29-3833-2025
- A versatile marine modelling tool applied to arctic, temperate and tropical waters J. Larsen et al. https://doi.org/10.1371/journal.pone.0231193
- Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4 T. Rackow et al. https://doi.org/10.5194/gmd-18-33-2025
- Design and evaluation of an efficient high-precision ocean surface wave model with a multiscale grid system (MSG_Wav1.0) J. Li et al. https://doi.org/10.5194/gmd-16-6393-2023
- Comparing numerical accuracy and stability for different horizontal discretizations in MPAS-Ocean S. Calandrini et al. https://doi.org/10.1016/j.ocemod.2021.101908
- A parallel Python-based tool for meshing watershed rivers at continental scale F. Ye et al. https://doi.org/10.1016/j.envsoft.2023.105731
- Source Regions of Infragravity Waves Recorded at the Bottom of the Equatorial Atlantic Ocean, Using OBS of the PI‐LAB Experiment P. Bogiatzis et al. https://doi.org/10.1029/2019JC015430
- Atmospheric blocking slows ocean-driven melting of Greenland’s largest glacier tongue R. McPherson et al. https://doi.org/10.1126/science.ado5008
- Local time stepping for the shallow water equations in MPAS G. Capodaglio & M. Petersen https://doi.org/10.1016/j.jcp.2021.110818
- Australian tidal currents – assessment of a barotropic model (COMPAS v1.3.0 rev6631) with an unstructured grid D. Griffin et al. https://doi.org/10.5194/gmd-14-5561-2021
- An automatic mesh generator for coupled 1D–2D hydrodynamic models Y. Kang & E. Kubatko https://doi.org/10.5194/gmd-17-1603-2024
- 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
- Shifts of the Recirculation Pathways in Central Fram Strait Drive Atlantic Intermediate Water Variability on Northeast Greenland Shelf R. McPherson et al. https://doi.org/10.1029/2023JC019915
- Barotropic tides in MPAS-Ocean (E3SM V2): impact of ice shelf cavities N. Pal et al. https://doi.org/10.5194/gmd-16-1297-2023
- Generalised primal-dual grids for unstructured co-volume schemes D. Engwirda https://doi.org/10.1016/j.jcp.2018.07.025
- Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07 S. Brus et al. https://doi.org/10.5194/gmd-14-2917-2021
- A typhoon-induced storm surge numerical model with GPU acceleration based on an unstructured spherical centroidal Voronoi tessellation grid Y. Gao et al. https://doi.org/10.1007/s13131-023-2175-9
- Fast spherical centroidal Voronoi mesh generation: A Lloyd-preconditioned LBFGS method in parallel H. Yang et al. https://doi.org/10.1016/j.jcp.2018.04.034
- Reconstruction of a fluttering flag from a single image T. Hu et al. https://doi.org/10.1177/1748302620983656
- Global tide simulations with ICON-O: testing the model performance on highly irregular meshes K. Logemann et al. https://doi.org/10.1007/s10236-020-01428-7
- Scalable self attraction and loading calculations for unstructured ocean tide models S. Brus et al. https://doi.org/10.1016/j.ocemod.2023.102160
- Numerical Weather Prediction at 200 m Local Resolution Based on an Unstructured Grid Global Model W. Sze et al. https://doi.org/10.1029/2022EA002342
Saved (final revised paper)
Latest update: 05 Jun 2026
Short summary
A new algorithm for the generation of very high-quality staggered unstructured grids for multi-resolution ocean and atmospheric modelling is described. Through use of unstructured triangulation and grid-optimisation techniques, it is shown that meshes satisfying a number of important a priori grid-quality constraints can be constructed. This new algorithm is expected to be of interest to both developers and users of unstructured general circulation models.
A new algorithm for the generation of very high-quality staggered unstructured grids for...