Articles | Volume 16, issue 9
https://doi.org/10.5194/gmd-16-2515-2023
© 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-16-2515-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Met Office operational wave forecasting system: the evolution of the regional and global models
Nieves G. Valiente
CORRESPONDING AUTHOR
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Andrew Saulter
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Breogan Gomez
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Christopher Bunney
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Jian-Guo Li
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Tamzin Palmer
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
Christine Pequignet
Met Office, Fitzroy Road, EX1 3PB, Exeter, UK
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Cited
14 citations as recorded by crossref.
- Impact of sea level changes on future wave conditions along the coasts of western Europe A. Chaigneau et al. https://doi.org/10.5194/os-19-1123-2023
- Evaluation of the Operational Global Ocean Wave Forecasting System of China M. Wu et al. https://doi.org/10.3390/rs16183535
- Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU v1.0 Y. Yuan et al. https://doi.org/10.5194/gmd-17-6123-2024
- Global tsunami modelling on a spherical multiple-cell grid J. Li & P. Wang https://doi.org/10.1016/j.ocemod.2024.102461
- An assessment of the impact of boundary conditions in dynamical downscaling techniques for fetch-limited waves A. Ruju & F. Viola https://doi.org/10.1080/21664250.2024.2399393
- Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting M. García-León et al. https://doi.org/10.5194/os-21-3265-2025
- The Met Office moored buoy network – sentinels for severe weather and extreme events J. Turton https://doi.org/10.1080/1755876X.2024.2418487
- An 8-model ensemble of CMIP6-derived ocean surface wave climate A. Meucci et al. https://doi.org/10.1038/s41597-024-02932-x
- A global high-resolution CMIP6 ensemble of wave climate simulations and projections using a coastal multigrid: Configuration and performance evaluation R. Kumar et al. https://doi.org/10.1016/j.ocemod.2025.102566
- Forecasting winter wave height using decadal prediction of atmospheric indices over the Northeast Atlantic T. Raymond et al. https://doi.org/10.1016/j.cliser.2026.100723
- The Australian wave forecast system with statistical wind correction S. Zieger & A. Rea https://doi.org/10.1071/ES25010
- Accelerated modelling of ocean waves D. Mody https://doi.org/10.1515/tp-2026-0043
- Km-scale regional coupled system in the Northwest European shelf for weather and climate applications: RCS-UKC4 S. Berthou et al. https://doi.org/10.5194/gmd-19-8535-2026
- Representation of meteotsunamis in km-scale regional simulations coupled at high frequency N. Makrygianni et al. https://doi.org/10.5194/nhess-26-3185-2026
14 citations as recorded by crossref.
- Impact of sea level changes on future wave conditions along the coasts of western Europe A. Chaigneau et al. https://doi.org/10.5194/os-19-1123-2023
- Evaluation of the Operational Global Ocean Wave Forecasting System of China M. Wu et al. https://doi.org/10.3390/rs16183535
- Towards a real-time modeling of global ocean waves by the fully GPU-accelerated spectral wave model WAM6-GPU v1.0 Y. Yuan et al. https://doi.org/10.5194/gmd-17-6123-2024
- Global tsunami modelling on a spherical multiple-cell grid J. Li & P. Wang https://doi.org/10.1016/j.ocemod.2024.102461
- An assessment of the impact of boundary conditions in dynamical downscaling techniques for fetch-limited waves A. Ruju & F. Viola https://doi.org/10.1080/21664250.2024.2399393
- Enhancing coastal winds and surface ocean currents with deep learning for short-term wave forecasting M. García-León et al. https://doi.org/10.5194/os-21-3265-2025
- The Met Office moored buoy network – sentinels for severe weather and extreme events J. Turton https://doi.org/10.1080/1755876X.2024.2418487
- An 8-model ensemble of CMIP6-derived ocean surface wave climate A. Meucci et al. https://doi.org/10.1038/s41597-024-02932-x
- A global high-resolution CMIP6 ensemble of wave climate simulations and projections using a coastal multigrid: Configuration and performance evaluation R. Kumar et al. https://doi.org/10.1016/j.ocemod.2025.102566
- Forecasting winter wave height using decadal prediction of atmospheric indices over the Northeast Atlantic T. Raymond et al. https://doi.org/10.1016/j.cliser.2026.100723
- The Australian wave forecast system with statistical wind correction S. Zieger & A. Rea https://doi.org/10.1071/ES25010
- Accelerated modelling of ocean waves D. Mody https://doi.org/10.1515/tp-2026-0043
- Km-scale regional coupled system in the Northwest European shelf for weather and climate applications: RCS-UKC4 S. Berthou et al. https://doi.org/10.5194/gmd-19-8535-2026
- Representation of meteotsunamis in km-scale regional simulations coupled at high frequency N. Makrygianni et al. https://doi.org/10.5194/nhess-26-3185-2026
Saved (final revised paper)
Latest update: 27 Oct 2026
Short summary
We document the Met Office operational global and regional wave models which provide wave forecasts up to 7 d ahead. Our models present coarser resolution offshore to higher resolution near the coastline. The increased resolution led to replication of the extremes but to some overestimation during modal conditions. If currents are included, wave directions and long period swells near the coast are significantly improved. New developments focus on the optimisation of the models with resolution.
We document the Met Office operational global and regional wave models which provide wave...