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Storm Tide and Wave Simulations and Assessment, 3rd Edition
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Storm Tide and Wave Simulations and Assessment, 3rd Edition

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

Deadline for manuscript submissions: 31 May 2025 | Viewed by 1278

Special Issue Editors

Dr. Shih-Chun Hsiao

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Guest Editor
Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan 701, Taiwan
Interests: coastal engineering; wave mechanics; numerical analysis; flow in porous media
Special Issues, Collections and Topics in MDPI journals
Dr. Wen-Son Chiang

E-Mail Website
Guest Editor
Tainan Hydraulics Laboratory, National Cheng Kung University, 5F., No. 500, Sec. 3, Anming Rd., Annan Dist., Tainan City 70955, Taiwan
Interests: wave mechanics; coastal hydrodynamics; sediment transport
Special Issues, Collections and Topics in MDPI journals
Dr. Wei-Bo Chen

E-Mail Website
Guest Editor
National Science and Technology Center for Disaster Reduction, New Taipei, Taiwan
Interests: hydrodynamic and hydraulic modeling; storm tide and storm wave modeling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Today’s increasingly frequent extreme weather events, storm tides, surges, and waves caused by typhoons, tropical cyclones, and hurricanes pose significant threats to coastal areas, nearshore waters, and navigation safety. Thus, the accurate prediction of these phenomena and the associated coastal erosion is crucial for minimizing loss of life and property and mitigating coastal disasters. While numerous studies have been conducted over the past decade on predicting and forecasting typhoon-driven storm tides, surges, waves, and morphological changes using numerical models, there is a growing need for innovative techniques to accurately address the complex physical processes involved. To advance our simulation and analytical capabilities and deepen our understanding of storm tides, surges, and waves, this 3rd edition Special Issue aims to gather the latest research on modeling and analyzing these phenomena using dynamic and statistical models and artificial intelligence approaches. We urgently welcome submissions of research articles and reviews focusing on model development, application, or big data analysis. Topics of interest include, but are not limited to, the following:

  • Artificial intelligence techniques for marine weather simulation;
  • Numerical modeling for marine weather simulation;
  • Statistical analysis marine weather simulation;
  • Coastal and marine hazard assessments;
  • Nonlinear interactions in marine weather simulation;
  • Effects of meteorological conditions on marine weather simulation;
  • Influences of climate change on marine weather;
  • Big data analysis of marine weather;
  • Coastal morphology evolution.

Dr. Shih-Chun Hsiao
Dr. Wen-Son Chiang
Dr. Wei-Bo Chen
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 100 words) can be sent to the Editorial Office for announcement on this website.

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 monthly 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

  • climate change
  • numerical modeling
  • statistical analysis
  • artificial intelligence
  • extreme marine weather
  • coastal morphology

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (3 papers)

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Research

23 pages, 9740 KiB  
Article
Rip Current Identification in Optical Images Using Wavelet Transform
by Hsu-Min Wang, Dong-Jiing Doong and Jian-Wu Lai
J. Mar. Sci. Eng. 2025, 13(4), 707; https://doi.org/10.3390/jmse13040707 - 2 Apr 2025
Viewed by 103
Abstract
Rip currents are fast-moving, narrow channels of water that flow seaward from the shoreline, typically forming within the surf zone and extending beyond the wave-breaking region. These currents pose significant hazards to swimmers, contributing to numerous drowning incidents, especially with the increasing popularity [...] Read more.
Rip currents are fast-moving, narrow channels of water that flow seaward from the shoreline, typically forming within the surf zone and extending beyond the wave-breaking region. These currents pose significant hazards to swimmers, contributing to numerous drowning incidents, especially with the increasing popularity of ocean recreation. Despite their prevalence, rip currents remain difficult to detect visually, and no universally reliable method exists for their identification by beachgoers. To address this challenge, this study presents a novel approach for detecting rip currents in optical images using wavelet-based edge detection and image convolution techniques. Five identification criteria were established based on previous literature and expert observations. The proposed program incorporates image augmentation, averaging, and frame aggregation to enhance generalization and accuracy. Experimental analysis involving four iterations and four wavelet bases demonstrated that using two iterations with the Daubechies wavelet yielded the highest interpretation accuracy (88.3%). Performance evaluation using a confusion matrix further confirmed an accuracy rate of 83.0%. The results indicate that the proposed method identifies rip currents in images, offering a valuable tool for researchers studying rip current patterns. This approach lays the groundwork for future advancements in rip current detection and related research. Full article
(This article belongs to the Special Issue Storm Tide and Wave Simulations and Assessment, 3rd Edition)
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12 pages, 2964 KiB  
Article
Azimuthal Variation in the Surface Wave Velocity of the Philippine Sea Plate
by Víctor Corchete
J. Mar. Sci. Eng. 2025, 13(3), 606; https://doi.org/10.3390/jmse13030606 - 19 Mar 2025
Viewed by 135
Abstract
A study of the azimuthal variation in the surface wave fundamental-mode phase velocity is performed for the Philippine Sea Plate (PSP). This azimuthal variation has been anisotropically inverted for the PSP to determine the isotropic and anisotropic structure of this plate from 0 [...] Read more.
A study of the azimuthal variation in the surface wave fundamental-mode phase velocity is performed for the Philippine Sea Plate (PSP). This azimuthal variation has been anisotropically inverted for the PSP to determine the isotropic and anisotropic structure of this plate from 0 to 260 km. This azimuthal variation is due to anisotropy in the upper mantle. The crust is found in an isotropic structure, but the lithosphere and asthenosphere exhibit anisotropic structures. For the lithosphere, the main cause of anisotropy is the alignment of anisotropic crystals approximately parallel to the direction of seafloor spreading, and the fast axis of the seismic velocity is in the direction of ~163° of azimuth. For the asthenosphere, the seismic anisotropy can be derived from the lattice-preferred orientation (LPO) in response to the shear strains induced by mantle flow, and the fast axis of the seismic velocity is also the direction of ~163° of azimuth. This result suggests that a mantle flow pattern may occur in the asthenosphere and seems to be approximately parallel to the direction of seafloor spreading observed for the lithosphere. Finally, the changes in the parameter ξ with depth are studied to estimate the depth of the lithosphere–asthenosphere boundary (LAB), observing a clear change in this parameter at 80 km depth. Full article
(This article belongs to the Special Issue Storm Tide and Wave Simulations and Assessment, 3rd Edition)
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23 pages, 8334 KiB  
Article
Typhoon Blend Wind Field Optimization Using Wave-Height Hindcasts
by Tzu-Chieh Chen, Kai-Cheng Hu, Han-Lun Wu, Wei-Shiun Lu, Wei-Bo Chen, Wen-Son Chiang and Shih-Chun Hsiao
J. Mar. Sci. Eng. 2025, 13(2), 354; https://doi.org/10.3390/jmse13020354 - 14 Feb 2025
Viewed by 487
Abstract
Typhoons cause significant losses and pose substantial threats every year, with an increasing trend observed in recent years. This study evaluates significant wave height (SWH) hindcasts for typhoons affecting Taiwan using optimized wind field configurations within the SCHISM-WWM-III coupled model. To enhance typhoon-induced [...] Read more.
Typhoons cause significant losses and pose substantial threats every year, with an increasing trend observed in recent years. This study evaluates significant wave height (SWH) hindcasts for typhoons affecting Taiwan using optimized wind field configurations within the SCHISM-WWM-III coupled model. To enhance typhoon-induced SWH simulations, the blended wind field integrates ERA5 reanalysis wind data with the modified Rankine vortex wind model. Key parameters, including the parametric wind field start time, best track data, and the radius of maximum wind speed, were carefully selected based on analyses of typhoons Meranti and Megi in 2016. Validation metrics such as the skill core, HH indicator, maximum SWH difference, and peak time difference of the SWH indicate that the optimized setup improves the accuracy of simulation. The findings highlight the effectiveness of the adjusted blended wind field, the high-resolution best track data provided by Taiwan, and the maximum wind speed radius in significantly enhancing the accuracy of typhoon wave modeling for the waters surrounding Taiwan. Full article
(This article belongs to the Special Issue Storm Tide and Wave Simulations and Assessment, 3rd Edition)
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