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The Use of Storm Models in Marine Engineering Practical Problems
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Special Issue "The Use of Storm Models in Marine Engineering Practical Problems"

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

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 5418

Special Issue Editors

Prof. Dr. Valentina Laface

E-Mail Website
Guest Editor
Natural Ocean Engineering Laboratory - NOEL, Mediterranea University of Reggio Calabria, Reggio Calabria, Italy
Interests: mechanics of random sea waves; ocean storms; extreme waves; wave statistics; storm statistics; compressive sampling; random vibration; wave energy converters; wind energy offshore; offshore engineering
Prof. Dr. Vanessa Katsardi

E-Mail Website
Guest Editor
Department of Civil Engineering, School of Engineering, University of ThessalyPedion Areos, GR-383 34 Volos, Greece
Interests: ocean engineering; coastal engineering; hydrodynamics; marine structures; ocean and wave energy
Prof. Dr. Carlos Guedes Soares

E-Mail Website
Guest Editor
Centre for Marine Technology and Ocean Engineering (CENTEC), Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portuga
Interests: ship dynamics; weather forecast; onboard monitoring systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Marine Engineering community is giving great interest to ocean storms research and related topics. In particular, the storm approach via simplified models is taking wide applicability in the investigation of many practical problems. In this regard, there are many topics which need attention and deeper study. Among them are the use of storm models for long-term analysis in time and space-time domains, the calculation of design wave, fatigue analysis of marine structures, structural damage, downtime estimation for wave energy converters, and coastal erosion. 

The purpose of the invited Special Issue is to publish the most interesting papers on this topic in order to disseminate novel results freely to be shared with academia and industry.

High-quality papers investigating the mentioned topics and/or new related ones, as well as proposals of new approaches, are largely encouraged.

Prof. Dr. Valentina Laface
Prof. Dr. Vanessa Katsardi
Prof. Dr. Carlos Guedes Soares
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 2200 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

  • Ocean Storms
  • Storm Models
  • Long-term statistics
  • Fatigue analysis
  • Structural damage
  • Space-time extremes
  • Downtime estimation
  • Design wave
  • Coastal erosion

Published Papers (3 papers)

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Article
On Correlation between Wind and Wave Storms
by
Valentina Laface
and
Felice Arena
J. Mar. Sci. Eng. 2021, 9(12), 1426; https://doi.org/10.3390/jmse9121426 - 13 Dec 2021
Cited by 2 | Viewed by 1400
Abstract
The paper is focused on the formulation of an adequate criterion for associating wave storm events to the generating wind storm ones, and on the study of correlation between their characteristic parameters. In this context, the sea storm definition commonly used for storm [...] Read more.
The paper is focused on the formulation of an adequate criterion for associating wave storm events to the generating wind storm ones, and on the study of correlation between their characteristic parameters. In this context, the sea storm definition commonly used for storm identification from significant wave height data is adapted for wind storm, by processing wind speed data. A sensitivity analysis is proposed as function of the storm thresholds aiming at identifying optimal combination of wind speed and significant wave height thresholds allowing the association of relatively large number of events ensuring high correlation between wind and wave storm parameters. The analysis is carried out using as input data wind speeds and significant wave heights from four meteorological (buoys and anemometers) stations of the National Data Buoy Center moored off the East Coast of the United States. Results reveal that an optimal threshold combination is achieved assuming both wind speed and significant wave height threshold as 1.5 time their respective averages. Full article
(This article belongs to the Special Issue The Use of Storm Models in Marine Engineering Practical Problems)
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Article
Statistics of Simulated Storm Waves over Bathymetry
by
Arnida Lailatul Latifah
,
Durra Handri
,
Ayu Shabrina
,
Henokh Hariyanto
and
E. van Groesen
J. Mar. Sci. Eng. 2021, 9(7), 784; https://doi.org/10.3390/jmse9070784 - 20 Jul 2021
Cited by 1 | Viewed by 1481
Abstract
This paper shows simulations of high waves over different bathymetries to collect statistical information, particularly kurtosis and crest exceedance, that quantifies the occurrence of exceptionally extreme waves. This knowledge is especially pertinent for the design and operation of marine structures, safe ship trafficking, [...] Read more.
This paper shows simulations of high waves over different bathymetries to collect statistical information, particularly kurtosis and crest exceedance, that quantifies the occurrence of exceptionally extreme waves. This knowledge is especially pertinent for the design and operation of marine structures, safe ship trafficking, and mooring strategies for ships near the coast. Taking advantage of the flexibility to perform numerical simulations with HAWASSI software, with the aim of investigating the physical and statistical properties for these cases, this paper investigates the change in wave statistics related to changes in depth, breaking and differences between long- and short-crested waves. Three different types of bathymetry are considered: run-up to the coast with slope 1/20, waves over a shoal, and deep open-water waves. Simulations show good agreement in the examined cases compared with the available experimental data and simulations. Then predictive simulations for cases with a higher significant wave height illustrate the changes that may occur during storm events. Full article
(This article belongs to the Special Issue The Use of Storm Models in Marine Engineering Practical Problems)
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Article
Operational Wave Forecast Selection in the Atlantic Ocean Using Random Forests
by
Ricardo M. Campos
,
Mariana O. Costa
,
Fabio Almeida
and
C. Guedes Soares
J. Mar. Sci. Eng. 2021, 9(3), 298; https://doi.org/10.3390/jmse9030298 - 08 Mar 2021
Cited by 6 | Viewed by 1577
Abstract
The existence of multiple wave forecasts leads to the question of which one should be used in practical ocean engineering applications. Ensemble forecasts have emerged as an important complement to deterministic forecasts, with better performances at mid-to-long ranges; however, they add another option [...] Read more.
The existence of multiple wave forecasts leads to the question of which one should be used in practical ocean engineering applications. Ensemble forecasts have emerged as an important complement to deterministic forecasts, with better performances at mid-to-long ranges; however, they add another option to the variety of wave predictions that are available nowadays. This study developed random forest (RF) postprocessing models to identify the best wave forecast between two National Centers for Environmental Protection (NCEP) products (deterministic and ensemble). The supervised learning classifier was trained using National Data Buoy Center (NDBC) buoy data and the RF model accuracies were analyzed as a function of the forecast time. A careful feature selection was performed by evaluating the impact of the wind and wave variables (inputs) on the RF accuracy. The results showed that the RF models were able to select the best forecast only in the very short range using input information regarding the significant wave height, wave direction and period, and ensemble spread. At forecast day 5 and beyond, the RF models could not determine the best wave forecast with high accuracy; the feature space presented no clear pattern to allow for successful classification. The challenges and limitations of such RF predictions for longer forecast ranges are discussed in order to support future studies in this area. Full article
(This article belongs to the Special Issue The Use of Storm Models in Marine Engineering Practical Problems)
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