Solving coastal dynamics: introduction to high-resolution ocean forecasting services

<strong class="journal-contentHeaderColor">Abstract.</strong> Coastal services are fundamental for society, with approximately 60 % of the world's population living within 60 km of the coast. Thus, predicting ocean variables with high accuracy is a challenge that requires numerical models able to simulate processes from the mesoscale to the submesoscale, to capture shallow-water dynamics influenced by wetting–drying and resolve the ocean variables in very high resolution spatial domains. This paper introduces key aspects of coastal modelling, such as vertical structure of the mixed layer depth, parameterization of bottom roughness, and the dissipation of kinetic energy in coastal areas. It stresses the need for models to account for the nonlinear interactions between tidal currents, wind waves, and small-scale weather patterns, emphasizing their significance in refining coastal predictions. In addition, observational advancements, such as high-frequency (HF) radar and satellite missions like Surface Water and Ocean Topography (SWOT), provide unique opportunities to observe coastal dynamics. This integration enhances our ability to model physical and dynamical peculiarities in coastal waters, estuaries, and ports. Coastal models not only benefit from such high-resolution observations but also contribute to evolving observational systems, creating feedback loops that refine monitoring and prediction capabilities. Modelling strategies are also examined, including downscaling and upscaling approaches, and numerical challenges like implementing robust data assimilation schemes to refine estimations of coastal ocean states are addressed. Emerging techniques, such as advanced turbulence closure models and dynamic vegetation drag parameterization, are highlighted for their role in enhancing the realism of modelled coastal processes. Furthermore, the integration of atmospheric forcing, tidal asymmetries, and estuarine dynamics underlines the necessity for models that span the complexities of the coastal continuum. It also demonstrates the critical importance of accurately modelling coastal and estuarine systems to capture interactions between mesoscale and submesoscale processes, their connections to broader oceanic systems, and their implications for sustainable coastal management and climate resilience. This work underscores the potential of advancing coastal forecasting systems through interdisciplinary innovation, paving the way for enhanced scientific understanding and practical applications.

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Published
2025-06-02
DOI
https://doi.org/10.5194/sp-5-opsr-4-2025
Citations
3
Primary Topic
Oceanographic and Atmospheric Processes
Type
article

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article

Solving coastal dynamics: introduction to high-resolution ocean forecasting services

Pascal Matte, Angélique Melet, Joanna V. Staneva, Jennifer Veitch
3 citations
Oceanographic and Atmospheric Processes
article

Solving coastal dynamics: introduction to high-resolution ocean forecasting services

Pascal Matte, Angélique Melet, Joanna V. Staneva, Jennifer Veitch
article en
3 citations

Abstract

<strong class="journal-contentHeaderColor">Abstract.</strong> Coastal services are fundamental for society, with approximately 60 % of the world's population living within 60 km of the coast. Thus, predicting ocean variables with high accuracy is a challenge that requires numerical models able to simulate processes from the mesoscale to the submesoscale, to capture shallow-water dynamics influenced by wetting–drying and resolve the ocean variables in very high resolution spatial domains. This paper introduces key aspects of coastal modelling, such as vertical structure of the mixed layer depth, parameterization of bottom roughness, and the dissipation of kinetic energy in coastal areas. It stresses the need for models to account for the nonlinear interactions between tidal currents, wind waves, and small-scale weather patterns, emphasizing their significance in refining coastal predictions. In addition, observational advancements, such as high-frequency (HF) radar and satellite missions like Surface Water and Ocean Topography (SWOT), provide unique opportunities to observe coastal dynamics. This integration enhances our ability to model physical and dynamical peculiarities in coastal waters, estuaries, and ports. Coastal models not only benefit from such high-resolution observations but also contribute to evolving observational systems, creating feedback loops that refine monitoring and prediction capabilities. Modelling strategies are also examined, including downscaling and upscaling approaches, and numerical challenges like implementing robust data assimilation schemes to refine estimations of coastal ocean states are addressed. Emerging techniques, such as advanced turbulence closure models and dynamic vegetation drag parameterization, are highlighted for their role in enhancing the realism of modelled coastal processes. Furthermore, the integration of atmospheric forcing, tidal asymmetries, and estuarine dynamics underlines the necessity for models that span the complexities of the coastal continuum. It also demonstrates the critical importance of accurately modelling coastal and estuarine systems to capture interactions between mesoscale and submesoscale processes, their connections to broader oceanic systems, and their implications for sustainable coastal management and climate resilience. This work underscores the potential of advancing coastal forecasting systems through interdisciplinary innovation, paving the way for enhanced scientific understanding and practical applications.

Environment and Climate Change Canada (CA), Mercator Ocean (France) (FR), Helmholtz-Zentrum Hereon (DE), South African Environmental Observation Network (ZA)
HORIZON EUROPE Framework Programme, Horizon 2020
Oceanographic and Atmospheric Processes
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