Article
Engineering, Marine
Peter Rogowski, Sophia Merrifield, Clarence Collins, Tyler Hesser, Allison Ho, Randy Bucciarelli, James Behrens, Eric Terrill
Summary: Landfalling tropical cyclones generate extreme waves, posing significant risks and damage. Accurate simulations of sea state during these storms are crucial but challenging. Studies show a general tendency for wave models to underestimate significant wave height, with distinct error patterns on an individual cyclone basis.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Meteorology & Atmospheric Sciences
Natalia Machado Crespo, Natalia Pillar da Silva, Ronaldo Maia de Jesus Palmeira, Andressa Andrade Cardoso, Clarisse Lacerda Gomes Kaufmann, Jose Antonio Moreira Lima, Marcelo Andrioni, Ricardo de Camargo, Rosmeri Porfirio da Rocha
Summary: This study aims to evaluate the accuracy of reanalysis/satellite data in reproducing significant wave height and wind speed, and assess climate simulations over the western South Atlantic. It found that the models have more realistic representation for wind speed and significant wave height in certain areas, and that there are more intense wind and wave extremes in the austral spring and winter near the southeastern coast of Brazil.
Article
Engineering, Marine
Tsubasa Kodaira, Kaushik Sasmal, Rei Miratsu, Tsutomu Fukui, Tingyao Zhu, Takuji Waseda
Summary: Accurate knowledge of ocean surface waves is crucial for ship design. This study aims to quantify model uncertainty in the state-of-the-art numerical wave hindcast products through model evaluations. Two wave hindcast products consistently showed better performance for extreme wave conditions based on buoy observations in the Northwest Atlantic and Northeast Atlantic.
Article
Oceanography
Carolina B. Gramcianinov, Joanna Staneva, Ricardo de Camargo, Pedro L. da Silva Dias
Summary: This study investigates extreme wave climate trends in the southwestern South Atlantic. The results show an overall increase in the 95th-percentile of significant wave height, with higher intensities in winter and a clockwise shift in summer events. These changes are related to the shift of storm tracks.
Article
Meteorology & Atmospheric Sciences
Jing Ma, Shang-Ping Xie, Haiming Xu, Jiuwei Zhao, Leying Zhang
Summary: Utilizing the ensemble hindcasts of the European Centre for Medium-Range Weather Forecasts (ECMWF) coupled model, this study investigates the spatiotemporal evolution of sea surface temperature (SST) and low-level winds in the tropical Atlantic, revealing the influence of North Tropical Atlantic (NTA) SST anomalies on the development of El Nino-Southern Oscillation (ENSO) events. The results show a pathway for the delayed effect of NTA SST anomalies on subsequent ENSO events and demonstrate the role of NTA SST warming in setting off a North Pacific meridional mode (NPMM), ultimately leading to La Nina events.
JOURNAL OF CLIMATE
(2021)
Article
Meteorology & Atmospheric Sciences
Suzana J. Camargo, Frederic Vitart, Chia-Ying Lee, Michael K. Tippett
Summary: This study analyzes Atlantic Ocean hurricane activity in ECMWF monthly hindcasts from 1998 to 2017, considering climatological characteristics, the impacts of changing resolution and parameterization, model skill scores, and cluster analysis comparing forecasted tracks with observations. The research explores the predictability of different clusters and their modulation by climate modes, utilizing a large sample size of TC datasets in the hindcasts.
MONTHLY WEATHER REVIEW
(2021)
Article
Geosciences, Multidisciplinary
Peter Russell, Christopher Horvat
Summary: Wind-driven mixing and Ekman pumping by slow-moving tropical cyclones can promote phytoplankton blooms in the euphotic zone. We examine an exceptional TC-induced phytoplankton bloom near Vanuatu in February 2019 and identify a parameter correlated with post-TC surface chlorophyll-a. Using synthetic storm tracks, we show the revisit times for TC-induced phytoplankton blooms in the South Pacific are on the order of hundreds to thousands of years.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Chuan-chieh Chang, Sandro w. Lubis, Karthik Balaguru, L. ruby Leung, Samson m. Hagos, Philip j. Klotzbach
Summary: This study investigates the combined impacts of the Madden-Julian oscillation (MJO) and extratropical an-ticyclonic Rossby wave breaking (AWB) on subseasonal Atlantic tropical cyclone (TC) activity and their physical connections. The results show that both the MJO and AWB play a role in suppressing TC activity during certain phases, with AWB events in phases 6-7 having a greater impact on TC development than their phases 2-3 counterparts. The study also finds that the influence of the MJO on AWB in the western subtropical Atlantic can be attributed to the modulation of the convectively forced Rossby wave source over the tropical eastern Pacific.
JOURNAL OF CLIMATE
(2023)
Review
Oceanography
Siva Srinivas Kolukula, P. L. N. Murty
Summary: The study demonstrates that machine learning techniques can be employed to improve the accuracy of wind field predictions for tropical cyclone-induced storm surges. The blending strategy using deep convolutional neural network architecture shows promising performance in real-time operational forecasts.
PROGRESS IN OCEANOGRAPHY
(2022)
Article
Engineering, Ocean
C. B. Gramcianinov, R. M. Campos, R. de Camargo, C. Guedes Soares
Summary: This study investigates the fetch patterns and configurations associated with extratropical cyclones promoting extreme wave events in the western South Atlantic Ocean. The results show that extreme waves are mainly related to the intensification stage of cyclones, with dominant SW/W directions. Surface winds typically reach their maximum 10-24 hours before the maximum significant wave height (Hs) during the event.
JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME
(2021)
Article
Engineering, Civil
Yoshinao Matsuba, Takenori Shimozono, Yoshimitsu Tajima
Summary: This study investigated the extreme wave characteristics in Eastern Japan following two successive extreme typhoons, Faxai and Hagibis. The results of observations, surveys, and numerical simulations indicated that variations in runup heights were primarily attributed to alongshore variations of beach slope. Local high runup during Faxai was caused by concentrations of incident short waves, while extreme runup during Hagibis was contributed by trapped infragravity waves on the coastal bathymetry.
COASTAL ENGINEERING
(2021)
Article
Environmental Sciences
Lucrezia Ricciardulli, Carl Mears, Andrew Manaster, Thomas Meissner
Summary: While assessing various CYGNSS wind data records, significant biases and uncertainties were found in the high-wind products during tropical cyclones, whereas winds from NOAA showed promising skill in tropical cyclones.
Article
Environmental Sciences
Silvio Davison, Alvise Benetazzo, Francesco Barbariol, Guillaume Ducrozet, Jeseon Yoo, Marco Marani
Summary: The study of extreme ocean waves has gained significant interest due to their importance in offshore design and navigation safety. However, the understanding of the physical mechanisms behind very high individual waves in crossing seas is still lacking. This study investigates the role of crossing wind sea and swell wave systems in producing extreme individual waves using numerical simulations and wave measurements. The findings suggest that extreme crest heights in crossing seas can be larger than in unimodal seas due to second-order bound wave interactions. A novel formulation for wave steepness in crossing seas is proposed to improve prediction capabilities.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Environmental Sciences
Xiaohui Li, Jingsong Yang, Jiuke Wang, Guoqi Han
Summary: This study evaluated the wind speed products of the Chinese scatterometers HY-2B/C/D and found that they underestimated high wind speeds. By using machine learning algorithms, especially the back propagation neural network (BP-NN) algorithm, significant improvements were achieved.
Article
Environmental Sciences
Wei Zhang
Summary: The study shows a significant increasing trend in extreme fast and slow translation events of Atlantic tropical cyclones from 1980 to 2019. Fast-translation events are primarily observed in the northern part of the North Atlantic, while slow-translation events are more equatorward. There is an increasing trend in the frequency of extreme slow-translation events over ocean, with no trend over land, and an increasing trend in extreme fast-translation events over both ocean and land.
Article
Oceanography
Paula Marangoni Gazineu Marinho Pinto, Ricardo Martins Campos, Marcos Nicolas Gallo, Carlos Eduardo Parente Ribeiro
Summary: Accurate simulations of significant wave height (Hs) are crucial for navigation safety and resource exploration. In this study, a post-processing model using LSTM algorithm is developed to improve the outputs of the numerical model WW3. The hybrid model, WW3+LSTM, shows better performance compared to WW3, with improved representation of peak events and storms. On average, the gains from using WW3+LSTM reach 3.8% in CORR, 14.2% in BIAS, 10.2% in RMSE, and 10.7% in SI.
Article
Engineering, Marine
M. Bernardino, M. Goncalves, R. M. Campos, C. Guedes Soares
Summary: Using the WAVEWATCHIII wave model, wave information for all ocean areas until the end of the 21st century is predicted, based on 120 years of global wind and ice-cover climate data. The results show an increase in mean significant wave height, wave energy and cumulative wave energy in the South Atlantic, and an increase in variability and a decrease in mean significant wave height in the North Atlantic. Other regions also exhibit changes, but to a lesser extent.
Article
Engineering, Marine
A. M. P. Santos, K. Fagerholt, C. Guedes Soares
Summary: The paper proposes a two-stage stochastic programming algorithm to address the Supply Vessel Planning Problem (SVPP) with stochastic demands and uncertain weather conditions in offshore oil and gas logistics. The algorithm incorporates the cost of recourse actions in the objective function and uses a genetic algorithm with discrete event simulation to approximate the cost of each solution. The study shows that solving the stochastic program leads to average annual cost savings of approximately 12% compared to solving the deterministic version.
Article
Engineering, Industrial
L. M. R. Silva, C. Guedes Soares
Summary: A robust optimization model is proposed to identify the most feasible production system that considers technical-economic and safety analysis. The model aims to minimize investment costs and pipeline risks, and it verifies the optimal solution through constraint and assumption testing. A case study demonstrates the practical performance of the methodology, highlighting the importance of direct flow paths, risk reduction, and cost reduction. The model suggests the use of a clustered satellite wells system and emphasizes the significance of reducing manifold size to decrease joint production.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Industrial
P. Antao, S. Sun, A. P. Teixeira, C. Guedes Soares
Summary: The paper evaluates the contribution of specific Risk Influencing Factors to ship collision accidents using a combination of Cox proportional hazard regression model, Bayesian rule, and least-squares method. Historical data of collision accidents worldwide and information of the world's merchant fleet are used for the assessment. Based on a global sample of 936 collision events from 2005 to 2017, six Risk Influencing Factors are assessed, including Ship length, Ship type, age of the ship, Classification Society, flag, and geographical area. The results indicate that ship type and geographical area have the greatest impact on ship collisions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Green & Sustainable Science & Technology
H. Diaz, D. Silva, C. Bernardo, C. Guedes Soares
Summary: A novel procedure is introduced to optimize the placement of floating turbines in a wind farm, using the Weighted Product Model (WPM) as a Multi-Criteria Decision Method (MCDM). The turbine position is determined based on technical, economic, and environmental criteria, incorporating expert knowledge through the Ranking Method (RM). The method is tested on two potential locations for a floating wind farm and successfully provides the optimal arrangement of wind turbines.
Article
Engineering, Marine
Ruoxuan Li, Bai-Qiao Chen, C. Guedes Soares
Summary: This paper validates a finite element model to study the buckle propagation pressure of a pipe-in-pipe system under uniform external pressure. The effects of initial imperfection, pipe scantling, and diameter ratio on the buckle propagation mode are investigated. An empirical formula is proposed to estimate the buckle propagation pressure accurately and rapidly.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
Esmaeil Zavvar, Hossam S. Abdelwahab, Emre Uzunoglu, Bai-Qiao Chen, C. Guedes Soares
Summary: This study assesses the stress distribution and hydrodynamic response of the preliminary structural design of a tension leg platform for a 10 MW wind turbine. The platform is modelled and analyzed using the finite element method. Stress distribution is determined in still water conditions with the turbine operating at above-rated conditions, and the response of the tension leg platform is estimated in the time domain. The results show reasonable agreement with available data, and classification societies' recommendations are used to check the design against stress distribution.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Editorial Material
Engineering, Marine
Bai-Qiao Chen, C. Guedes Soares
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Editorial Material
Engineering, Marine
Serge Sutulo, C. Guedes Soares
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Marine
U. Bhardwaj, A. P. Teixeira, C. Guedes Soares
Summary: This paper presents an integrated framework for the reliability-based design of deep-water vertical subsea separators using a novel collapse strength model. The proposed strength model is verified against experimental collapse pressure and other analytical models. The application of the presented methodology is demonstrated in a case study where uncertainties are systematically considered and the target reliability is used as a single design constraint.
Article
Engineering, Marine
Joao P. S. Lima, F. Evangelista, C. Guedes Soares
Summary: A method based on a Bi-fidelity Kriging model is proposed for structural reliability analysis, which saves computational effort by adding low-fidelity data samples to predict high-fidelity values.
Article
Mechanics
Huidong Zhang, Tong Wang, Cong Xu, Hongda Shi, Carlos Guedes Soares
Summary: A new wave energy converter is proposed, consisting of three split heave point absorbers and a taut-moored floating turbine, which is suitable for waves in the China Sea with short periods and small amplitudes. Physical model tests reveal that the new device significantly improves wave energy capture efficiency for short-period waves in low sea states. The submerged platform contributes to this improvement through out-of-phase heave motion and the induced shallow water effect, particularly with a high damping force in the power takeoff system. However, the high-frequency oscillation caused by the coincident wave direction and mooring lines needs further optimization of the taut mooring system.
Article
Engineering, Industrial
Dawei Gao, Kai Huang, Yongsheng Zhu, Linbo Zhu, Ke Yan, Zhijun Ren, C. Guedes Soares
Summary: This paper proposes a semi-supervised fault diagnosis method through feature perturbation and decision fusion. To improve the generalization capability of the model, a dual correlation model is constructed, and the structural parameters are adjusted. The final fusion diagnosis is achieved by analyzing high-confidence samples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Article
Engineering, Industrial
Dawei Gao, Yongsheng Zhu, Ke Yan, C. Guedes Soares
Summary: This paper introduces a risk assessment framework based on the predictable Transformer network and clustering method, which addresses the issues of inaccurate indicator calculation and difficulty in training deep learning algorithms in traditional methods. The potential collision risk ships are first clustered using a clustering algorithm, and then the Transformer network is used to predict the possible future positions of ships. Finally, the collision risk for ship pairs and the regional collision risk are evaluated based on the predicted results.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2024)
Review
Meteorology & Atmospheric Sciences
Wei Zhang, Yu Sun, Yapeng Wu, Junyu Dong, Xiaojiang Song, Zhiyi Gao, Renbo Pang, Boyu Guoan
Summary: This study employed a spatiotemporal deep-learning method to correct biases in numerical ocean wave forecasts. By using a correction model driven by both wave and wind fields and a novel pixel-switch loss function, the corrected results performed well in different seasons and improved the accuracy of the original forecasts.
