Advances in Modelling Coastal and Ocean Dynamics

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Coastal Engineering".

Deadline for manuscript submissions: 15 May 2026 | Viewed by 540

Special Issue Editors


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Physics Department, CESAM, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Interests: coastal hydrodynamics salt marsh dynamics; remote sensing of coastal environments; numerical modelling of coastal environments; coastal wetland restoration
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Special Issue Information

Dear Colleagues,

Marine and coastal regions are essential for sustaining biodiversity, supporting human well-being, and regulating the global climate. However, they are increasingly threatened by pressures such as sea-level rise, erosion, and pollution. Addressing these challenges requires advanced modelling tools that enable scientists to simulate the complex interactions among hydrodynamics, sediment transport, and ecosystem processes with ever-greater precision.

This Special Issue, “Advances in Modelling Coastal and Ocean Dynamics” focuses on advances in numerical, analytical, and data-driven approaches to understanding the complex physical processes governing marine and coastal systems. It highlights innovative methods for simulating ocean currents, tides, waves, sediment transport, and water quality, as well as the integration of models with field data and remote sensing observations. The issue highlights the application of hydrodynamic models to address contemporary challenges, including coastal erosion, water quality, habitat degradation, flooding, marine pollution, and climate change impacts on coastal resilience. Contributions explore model development, calibration, and validation techniques, as well as the coupling of hydrodynamics with ecological and biogeochemical processes. By showcasing interdisciplinary research and case studies from diverse coastal environments, this Special Issue provides valuable insights for scientists, engineers, and policymakers seeking to improve the sustainable management and protection of marine and coastal resources through advanced modelling tools.

Dr. Magda Catarina Sousa
Dr. Ana Picado
Dr. Carina Lurdes Lopes
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • numerical models
  • coastal systems
  • hydrodynamics
  • climate change

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Published Papers (1 paper)

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Research

30 pages, 5435 KB  
Article
A Study on Enhancing the Accuracy of Wave Prediction Models Through SWAN (Simulating WAves Nearshore) Model Sensitivity Experiments: Focusing on Wind Input and Whitecapping Dissipation
by Ho-sik Eum and Jong-Jip Park
J. Mar. Sci. Eng. 2026, 14(5), 435; https://doi.org/10.3390/jmse14050435 - 26 Feb 2026
Viewed by 297
Abstract
Accurate wave prediction in coastal waters is essential for marine safety and engineering, yet it is significantly influenced by uncertainties in wind forcing and dissipation parameterization. This study evaluates the sensitivity of the SWAN model around the Korean Peninsula using 2021 data from [...] Read more.
Accurate wave prediction in coastal waters is essential for marine safety and engineering, yet it is significantly influenced by uncertainties in wind forcing and dissipation parameterization. This study evaluates the sensitivity of the SWAN model around the Korean Peninsula using 2021 data from 138 observation stations. To address structural biases in wind fields, the Drag Coefficient Scaling Factor (CDFAC) was implemented alongside the Komen and ST6 physics packages. While the Komen scheme provided stable performance under normal conditions, the ST6 + CDFAC configuration exhibited superior physical consistency during extreme events. Notably, applying CDFAC to the ST6 package reduced the high-wave (Hs > 3 m) RMSE by approximately 32.7%, decreasing from 0.52 m to 0.35 m. Bathymetric stratified analysis further confirmed that the ST6 scheme maintains robust performance in offshore and deep-water regions (depth > 50 m), achieving a correlation of 0.94 and an RMSE of 0.20 m. This is attributed to ST6’s frequency-dependent saturation approach, which effectively decouples wind-sea and swell components in environments where whitecapping dissipation is the governing energy sink. In contrast, improvements in coastal waters (depth < 50 m) were moderated by topographical dissipation mechanisms such as bottom friction and depth-induced breaking. These findings demonstrate that integrating wind input bias correction with frequency-dependent dissipation physics is vital for reliable wave forecasting and coastal disaster mitigation. Full article
(This article belongs to the Special Issue Advances in Modelling Coastal and Ocean Dynamics)
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