Articles | Volume 12, issue 3
https://doi.org/10.5194/os-12-797-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/os-12-797-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
15 Jun 2016
Research article |
| 15 Jun 2016
Coupling of wave and circulation models in coastal–ocean predicting systems: a case study for the German Bight
Institute for Coastal Research, HZG, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
Kathrin Wahle
Institute for Coastal Research, HZG, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
Heinz Günther
Institute for Coastal Research, HZG, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
Emil Stanev
Institute for Coastal Research, HZG, Max-Planck-Strasse 1,
21502 Geesthacht, Germany
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Cited
35 citations as recorded by crossref.
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- GCOAST: Skill assessments of coupling wave and circulation models (NEMO-WAM) J. Staneva et al. 10.1088/1742-6596/1730/1/012071
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35 citations as recorded by crossref.
- Coastal flooding: impact of waves on storm surge during extremes – a case study for the German Bight J. Staneva et al. 10.5194/nhess-16-2373-2016
- HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network A. Rubio et al. 10.3389/fmars.2017.00008
- Nemo-Nordic 1.0: a NEMO-based ocean model for the Baltic and North seas – research and operational applications R. Hordoir et al. 10.5194/gmd-12-363-2019
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. 10.5194/esd-12-939-2021
- Quantification of hydrodynamic model sea level bias utilizing deep learning and synergistic integration of data sources V. Jahanmard et al. 10.1016/j.ocemod.2023.102286
- An Integrated Scenario Ensemble‐Based Framework for Hurricane Evacuation Modeling: Part 2—Hazard Modeling B. Blanton et al. 10.1111/risa.13004
- A global unstructured, coupled, high-resolution hindcast of waves and storm surge L. Mentaschi et al. 10.3389/fmars.2023.1233679
- Dynamic load balancing for predictions of storm surge and coastal flooding K. Roberts et al. 10.1016/j.envsoft.2021.105045
- An integrated marine data collection for the German Bight – Part 2: Tides, salinity, and waves (1996–2015) R. Hagen et al. 10.5194/essd-13-2573-2021
- Ocean forecasting for the German Bight: from regional to coastal scales E. Stanev et al. 10.5194/os-12-1105-2016
- Wave-tide interaction modulates nearshore wave height M. Lewis et al. 10.1007/s10236-018-01245-z
- Assessment of wave climate and energy resources in the Baltic Sea nearshore (Lithuanian territorial water) D. Jakimavičius et al. 10.1016/j.oceano.2017.10.004
- МЕТОДИЧЕСКИЕ ОСНОВЫ ПОСТРОЕНИЯ СИСТЕМ ОПЕРАТИВНОЙ ОКЕАНОГРАФИИ В ПРИЛОЖЕНИИ К ЗАДАЧАМ ПОДВОДНОГО НАБЛЮДЕНИЯ, "Фундаментальная и прикладная гидрофизика" В. Коваленко et al. 10.7868/S2073667321030011
- The UKC3 regional coupled environmental prediction system H. Lewis et al. 10.5194/gmd-12-2357-2019
- Efficient deep learning surrogate method for predicting the transport of particle patches in coastal environments J. Fajardo-Urbina et al. 10.1016/j.marpolbul.2024.117251
- Impacts of the Assimilation of Satellite Sea Surface Temperature Data on Volume and Heat Budget Estimates for the North Sea W. Chen et al. 10.1029/2020JC017059
- Assessing the performance of formulations for nonlinear feedback of surface gravity waves on ocean currents over coastal waters P. Wang et al. 10.1016/j.csr.2017.08.014
- Optimisation of Parameters in a German Bight Circulation Model by 4DVAR Assimilation of Current and Water Level Observations J. Schulz-Stellenfleth et al. 10.3389/fmars.2021.648266
- A Pan-European high resolution storm surge hindcast T. Fernández-Montblanc et al. 10.1016/j.envint.2019.105367
- Detecting shifts of submarine sediment boundaries using side-scan mosaics and GIS analyses D. Galvez et al. 10.1016/j.margeo.2020.106343
- The Impact of Ocean‐Wave Coupling on the Upper Ocean Circulation During Storm Events D. Bruciaferri et al. 10.1029/2021JC017343
- Can wave coupling improve operational regional ocean forecasts for the north-west European Shelf? H. Lewis et al. 10.5194/os-15-669-2019
- An atmosphere–wave regional coupled model: improving predictions of wave heights and surface winds in the southern North Sea K. Wahle et al. 10.5194/os-13-289-2017
- Wind forcing effect on hindcasting of typhoon-driven extreme waves W. Chen et al. 10.1016/j.oceaneng.2019.106260
- Advances in NE-Atlantic coastal sea level change monitoring by Delay Doppler altimetry L. Fenoglio et al. 10.1016/j.asr.2020.10.041
- Internal Model Variability of the Regional Coupled System Model GCOAST-AHOI H. Ho-Hagemann et al. 10.3390/atmos11030227
- Wave modeling of a reef-sheltered coastal zone in the Red Sea S. Langodan et al. 10.1016/j.oceaneng.2020.107378
- The land–sea coastal border: a quantitative definition by considering the wind and wave conditions in a wave-dominated, micro-tidal environment A. Sánchez-Arcilla et al. 10.5194/os-15-113-2019
- 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
- GCOAST: Skill assessments of coupling wave and circulation models (NEMO-WAM) J. Staneva et al. 10.1088/1742-6596/1730/1/012071
- Internal Model Variability of Ensemble Simulations With a Regional Coupled Wave-Atmosphere Model GCOAST A. Wiese et al. 10.3389/fmars.2020.596843
- Model-Observations Synergy in the Coastal Ocean P. De Mey-Frémaux et al. 10.3389/fmars.2019.00436
- Towards Comprehensive Observing and Modeling Systems for Monitoring and Predicting Regional to Coastal Sea Level R. Ponte et al. 10.3389/fmars.2019.00437
- Detecting anomalous sea-level states in North Sea tide gauge data using an autoassociative neural network K. Wahle et al. 10.5194/nhess-23-415-2023
- Relative dispersion and relative diffusivities in an ocean-wave coupled model of the North Sea L. Villa Castrillón et al. 10.1007/s10236-024-01619-6
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Latest update: 13 Dec 2024
Short summary
This study addresses the impact of coupling between wind wave and circulation models on the quality of coastal ocean predicting systems. This topic reflects the increased interest in operational oceanography to reduce prediction errors of state estimates at coastal scales. The improved skill of the coupled forecasts compared to the non-coupled ones, in particular during extreme events, justifies the further enhancements of coastal operational systems by including wind wave models.
This study addresses the impact of coupling between wind wave and circulation models on the...
