76 citations as recorded by crossref.

1. Nearshore tsunami amplitudes across the Maldives archipelago due to worst-case seismic scenarios in the Indian Ocean S. Rasheed et al. https://doi.org/10.5194/nhess-24-737-2024
2. SWEMniCS: a software toolbox for modeling coastal ocean circulation, storm surges, inland, and compound flooding C. Dawson et al. https://doi.org/10.1038/s44304-024-00036-5
3. 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
4. Challenges and prospects of climate change impact assessment on mangrove environments through mathematical models M. Fanous et al. https://doi.org/10.1016/j.envsoft.2023.105658
5. A σ-coordinate non-hydrostatic discontinuous finite element coastal ocean model W. Pan et al. https://doi.org/10.1016/j.ocemod.2020.101732
6. Shallow-Flow Velocity Predictions Using Discontinuous Galerkin Solutions G. Kesserwani et al. https://doi.org/10.1061/JHEND8.HYENG-13244
7. Tides and Tidal Currents—Guidelines for Site and Energy Resource Assessment S. Barbarelli & B. Nastasi https://doi.org/10.3390/en14196123
8. The Potential for Tidal Range Energy Systems to Provide Continuous Power: A UK Case Study L. Mackie et al. https://doi.org/10.3390/jmse8100780
9. Assessing impacts of tidal power lagoons of a consistent design L. Mackie et al. https://doi.org/10.1016/j.oceaneng.2021.109879
10. PyPSA-GB: An open-source model of Great Britain’s power system for simulating future energy scenarios A. Lyden et al. https://doi.org/10.1016/j.esr.2024.101375
11. The discontinuous Galerkin coastal and estuarine modelling system (DGCEMS v1.0.0): a three-dimensional, nonsplit-mode, implicit–explicit Runge–Kutta hydrostatic model Z. Chen et al. https://doi.org/10.5194/gmd-18-7199-2025
12. A new methodology for performing large scale simulations of tsunami generated by deformable submarine slides R. Smith et al. https://doi.org/10.1016/j.ocemod.2020.101674
13. Tidal range structure operation assessment and optimisation A. Angeloudis https://doi.org/10.1680/jdare.18.00042
14. Efficient economic optimisation of large-scale tidal stream arrays Z. Goss et al. https://doi.org/10.1016/j.apenergy.2021.116975
15. Optimal experiment design for a bottom friction parameter estimation problem S. Warder & M. Piggott https://doi.org/10.1007/s13137-022-00196-4
16. A fast and accurate method for transport and dispersion of phosphogypsum in coastal zones: Application to Jorf Lasfar A. Ouardghi et al. https://doi.org/10.1002/fld.5248
17. An Improved Gridded Bathymetric Data Set and Tidal Model for the Maldives Archipelago S. Rasheed et al. https://doi.org/10.1029/2020EA001207
18. Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods M. Clare et al. https://doi.org/10.1016/j.cageo.2022.105104
19. Interactions between tidal stream turbine arrays and their hydrodynamic impact around Zhoushan Island, China J. Zhang et al. https://doi.org/10.1016/j.oceaneng.2021.110431
20. Detailing the impact of the Storegga Tsunami at Montrose, Scotland M. Bateman et al. https://doi.org/10.1111/bor.12532
21. Assessing the Tidal Stream Resource for energy extraction in The Netherlands M. Alday & G. Lavidas https://doi.org/10.1016/j.renene.2023.119683
22. Third-order WENO transport scheme for simulating the baroclinic eddying ocean on an unstructured grid F. Ye et al. https://doi.org/10.1016/j.ocemod.2019.101466
23. Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling J. Wallwork et al. https://doi.org/10.1016/j.cad.2021.103187
24. Development of a gamma ray dose rate calculation and mapping tool for Lagrangian marine nuclear emergency response models A. Little et al. https://doi.org/10.1016/j.marpolbul.2022.113895
25. The interplay and incremental development of tidal stream arrays in the Pentland Firth M. Patel et al. https://doi.org/10.1007/s40722-026-00490-5
26. Modelling the impact of tidal range energy on species communities A. Baker et al. https://doi.org/10.1016/j.ocecoaman.2020.105221
27. Fully Parallel Mesh I/O Using PETSc DMPlex with an Application to Waveform Modeling V. Hapla et al. https://doi.org/10.1137/20M1332748
28. Tidal dynamics drive ooid formation in the Capricorn Channel since the Last Glacial Maximum K. Lee et al. https://doi.org/10.1016/j.margeo.2022.106944
29. Discontinuous Galerkin simulator of shallow vortical flow with turbulence G. Kesserwani et al. https://doi.org/10.1016/j.advwatres.2025.104986
30. Identifying economically viable tidal sites within the Alderney Race through optimization of levelized cost of energy Z. Goss et al. https://doi.org/10.1098/rsta.2019.0500
31. Goal-oriented error estimation and mesh adaptation for shallow water modelling J. Wallwork et al. https://doi.org/10.1007/s42452-020-2745-9
32. On the potential of linked-basin tidal power plants: An operational and coastal modelling assessment A. Angeloudis et al. https://doi.org/10.1016/j.renene.2020.03.167
33. High-order discontinuous Galerkin schemes for the barotropic-baroclinic splitting in two-dimensional layered shallow water equations Y. Gahounzo et al. https://doi.org/10.1016/j.jcp.2025.114496
34. Sedimentological data-driven bottom friction parameter estimation in modelling Bristol Channel tidal dynamics S. Warder et al. https://doi.org/10.1007/s10236-022-01507-x
35. Economics-constrained tidal turbine array layout optimisation at the Putuoshan–Hulu island waterway C. Zhang et al. https://doi.org/10.1016/j.oceaneng.2024.119618
36. Multi-layer non-hydrostatic free surface modelling using the discontinuous Galerkin method W. Pan et al. https://doi.org/10.1016/j.ocemod.2019.01.003
37. Model-driven optimization of coastal sea observatories through data assimilation in a finite element hydrodynamic model (SHYFEM v. 7_5_65) C. Ferrarin et al. https://doi.org/10.5194/gmd-14-645-2021
38. A Wetting and Drying Approach for a Mode-Nonsplit Discontinuous Galerkin Hydrodynamic Model with Application to Laizhou Bay Z. Chen et al. https://doi.org/10.3390/jmse12010147
39. Learning reduced‐order dynamics for parametrized shallow water equations from data S. Yıldız et al. https://doi.org/10.1002/fld.4998
40. Towards a fully unstructured ocean model for ice shelf cavity environments: Model development and verification using the Firedrake finite element framework W. Scott et al. https://doi.org/10.1016/j.ocemod.2023.102178
41. Thetis-SWAN: A Python-interfaced wave–current interactions coupled system A. Fragkou et al. https://doi.org/10.1016/j.envsoft.2024.106034
42. DGCEMS–SWAN: a two-way coupled coastal wave–current model Z. Chen et al. https://doi.org/10.1016/j.oceaneng.2025.122434
43. Tidal turbine array modelling using goal-oriented mesh adaptation J. Wallwork et al. https://doi.org/10.1007/s40722-023-00307-9
44. Efficient Optimization of a Regional Water Elevation Model With an Automatically Generated Adjoint T. Kärnä et al. https://doi.org/10.1029/2022MS003169
45. Assessing the performance of a coupled wave–current model in coral reef systems Z. Chen et al. https://doi.org/10.1016/j.apor.2026.104974
46. FNPF-SEM: A parallel spectral element model in Firedrake for fully nonlinear water wave simulations J. Visbech et al. https://doi.org/10.1177/10943420261462394
47. Adjoint-based sensitivity analysis for a numerical storm surge model S. Warder et al. https://doi.org/10.1016/j.ocemod.2021.101766
48. On the economic feasibility of tidal range power plants K. Pappas et al. https://doi.org/10.1098/rspa.2023.0867
49. Plume spreading test case for coastal ocean models V. Fofonova​​​​​​​ et al. https://doi.org/10.5194/gmd-14-6945-2021
50. Operational coastal ocean modelling for tidal stream turbine arrays N. Chien et al. https://doi.org/10.1016/j.apor.2025.104847
51. Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation M. Clare et al. https://doi.org/10.1016/j.cageo.2020.104658
52. On the varied impact of the Storegga tsunami in northwest Scotland S. Woodroffe et al. https://doi.org/10.1002/jqs.3539
53. Hydro-morphodynamic modelling of mangroves imposed by tidal waves using finite element discontinuous Galerkin method M. Fanous et al. https://doi.org/10.1016/j.coastaleng.2023.104303
54. A multi-scale IMEX second order Runge-Kutta method for 3D hydrodynamic ocean models A. Ishimwe et al. https://doi.org/10.1016/j.jcp.2024.113482
55. Comparing non-hydrostatic extensions to a discontinuous finite element coastal ocean model W. Pan et al. https://doi.org/10.1016/j.ocemod.2020.101634
56. A split-explicit second order Runge–Kutta method for solving 3D hydrodynamic equations A. Ishimwe et al. https://doi.org/10.1016/j.ocemod.2023.102273
57. Consistent point data assimilation in Firedrake and Icepack R. Nixon-Hill et al. https://doi.org/10.5194/gmd-17-5369-2024
58. Benchmarking a two-way coupled coastal wave–current hydrodynamics model A. Fragkou et al. https://doi.org/10.1016/j.ocemod.2023.102193
59. A potential energy conserving finite element method for turbulent variable density flow: Application to glacier-fjord circulation L. Lundgren et al. https://doi.org/10.1016/j.jcp.2025.113981
60. Utilising the flexible generation potential of tidal range power plants to optimise economic value F. Harcourt et al. https://doi.org/10.1016/j.apenergy.2018.12.091
61. Discontinuous Galerkin discretization for two-equation turbulence closure model T. Kärnä https://doi.org/10.1016/j.ocemod.2020.101619
62. Towards automatic finite-element methods for geodynamics via Firedrake D. Davies et al. https://doi.org/10.5194/gmd-15-5127-2022
63. Temporal complementarity of marine renewables with wind and solar generation: Implications for GB system benefits S. Pennock et al. https://doi.org/10.1016/j.apenergy.2022.119276
64. Modeling landslide generated waves using the discontinuous finite element method W. Pan et al. https://doi.org/10.1002/fld.5090
65. A discontinuous Galerkin finite-element model for fast channelized lava flows v1.0 C. Conroy & E. Lev https://doi.org/10.5194/gmd-14-3553-2021
66. Physical Modelling of Tidal Stream Turbine Wake Structures under Yaw Conditions C. Zhang et al. https://doi.org/10.3390/en16041742
67. Implementation of homogeneous and heterogeneous tidal arrays in the Inner Sound of the Pentland Firth M. Patel et al. https://doi.org/10.1007/s40722-024-00342-0
68. Non-hydrostatic unified model of the ocean with application to ice/ocean interaction modeling M. Kopera et al. https://doi.org/10.1007/s13137-022-00212-7
69. Energy storage from a wind, tidal, and wave farm via hydrogen J. Guichard et al. https://doi.org/10.3389/fenrg.2026.1732813
70. Response of tidal flow regime and sediment transport in North Malé Atoll, Maldives, to coastal modification and sea level rise S. Rasheed et al. https://doi.org/10.5194/os-17-319-2021
71. Perspectives of physics-based machine learning strategies for geoscientific applications governed by partial differential equations D. Degen et al. https://doi.org/10.5194/gmd-16-7375-2023
72. Discrete variance decay analysis of spurious mixing T. Banerjee et al. https://doi.org/10.1016/j.ocemod.2024.102460
73. On the hydrostatic approximation in rotating stratified flow A. Wirth https://doi.org/10.5194/npg-32-261-2025
74. Modelling an energetic tidal strait: investigating implications of common numerical configuration choices L. Mackie et al. https://doi.org/10.1016/j.apor.2020.102494
75. A data-driven adversarial machine learning for 3D surrogates of unstructured computational fluid dynamic simulations C. Quilodrán-Casas & R. Arcucci https://doi.org/10.1016/j.physa.2023.128564
76. Advancing Dynamical Cores of Oceanic Models across All Scales F. Lemarié et al. https://doi.org/10.1175/BAMS-D-18-0303.1