4.3 Article

Research on the methods for separating wind sea and swell from directional wave spectra in finite-depth waters

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Marine

Wind-sea and swell separation of 1D wave spectrum by deep learning

Wenyi Meng et al.

Summary: In this study, three existing methods to separate wind-sea and swell from 1D wave spectra were evaluated statistically using data from 38 meteorological buoys. Among the three methods, the PM method shows the best agreement with the 2D separation method. A new 1D wind-sea-swell separation method based on deep learning is proposed, which outperforms all existing 1D separation methods. Both methods are robust and have no significant geographical dependence.

OCEAN ENGINEERING (2023)

Article Marine & Freshwater Biology

Swell-driven sediment resuspension in the Yangtze Estuary during tropical cyclone events

Yuan-Guang Huang et al.

Summary: This study found that swells induced by tropical cyclones have a greater influence on coastal sediment resuspension compared to wind waves. The shear stress derived from swells during these cyclones was much higher than that from wind waves, resulting in a significant increase in suspended sediment concentrations.

ESTUARINE COASTAL AND SHELF SCIENCE (2022)

Article Geography, Physical

The effect of climate change on wind-wave directional spectra

Hector Lobeto et al.

Summary: By assessing wind-wave directional spectra, we comprehensively explain the projected changes in global wind-wave climatology in the 21st century. The results highlight a transition from positive to negative trends in Southern Ocean westerly swells and an increasing signal in southernmost swells propagating northward. Additionally, the study reveals a decrease in the main wave systems propagating in the North Atlantic Ocean.

GLOBAL AND PLANETARY CHANGE (2022)

Article Engineering, Ocean

A Wave Prediction Framework Based on Machine Learning and the Third Generation Wave Model

Shuai Liu et al.

Summary: A machine learning framework is developed to predict the evolution of wave spectrum in the real ocean by training an LSTM neural network on a physics-based third-generation wave model. The framework partitions the wave spectrum into windsea and swells, and accurately predicts wave conditions and spectra. The LSTM neural network achieves accurate predictions, with mean absolute error percentages of less than 5.9%, 3.3%, 3.5%, and 3.3% for significant wave height, peaked wave period, mean propagation direction, and directional spreading width, respectively.

JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME (2022)

Article Engineering, Ocean

Spectral Characteristics of Swell-Dominated Seas with In Situ Measurements in the Coastal Seas of Peru and Sri Lanka

Xiang Gao et al.

Summary: Based on in situ measurements, the wave spectra characteristics in the swell-dominated seas in the Chancay Bay, Peru, and off the coast of Hambantota, Sri Lanka were studied. Single- and double-peaked wave spectra were identified based on their spectral shapes. Existing wave spectrum models were insufficient in describing the peak enhancement and high-frequency tail shape of the measured single-peaked spectra. By considering the peak enhancement factor gamma and the shape parameter m, an improved single-peaked wave spectrum model combining JONSWAP and Wallops spectra was proposed, which outperformed other models in describing swell characteristics. Ochi-Hubble spectrum worked better than Torsethaugen spectrum for double-peaked spectra.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2022)

Article Engineering, Civil

Wave downscaling strategies for practical wave agitation studies in harbours

Eva Romano-Moreno et al.

Summary: This paper presents several strategies for downsizing wave agitation and evaluates their accuracy and performance in a real scenario. The most advanced and accurate strategies achieved improved results. A comparative analysis of the advantages, limitations, and uncertainties of each strategy provides useful insights for practical port wave agitation studies.

COASTAL ENGINEERING (2022)

Article Engineering, Marine

Prediction of dynamic responses for execution of marine operations using partitioning of multimodal directional wave spectra and machine learning regression models

Wilson Guachamin-Acero et al.

Summary: This paper introduces a methodology for assessing vessel dynamic responses using characteristics of actual 2D wave spectra and regression models from machine learning. By characterizing wave systems and training regression models, accurate predictions of dynamic responses can be obtained for offshore sites with complex wave conditions.

OCEAN ENGINEERING (2022)

Article Engineering, Civil

Investigation on the effects of Bragg reflection on harbor oscillations

Junliang Gao et al.

Summary: This study simulated Bragg reflection and its interactions with the harbor, revealing that Bragg resonant reflection can significantly alleviate harbor resonance. The research also found that the number and amplitude of sinusoidal bars have remarkable influences on the mitigation effect of harbor resonance and on the optimal wavelength of sinusoidal bars that can achieve the best mitigation effect.

COASTAL ENGINEERING (2021)

Article Engineering, Marine

Swell and sea characteristics along the south-west coast of India during the monsoon

G. Uma et al.

Summary: The study shows that during the southwest monsoon period, the off-Kochi area often exhibits wave spectra with five partitions, indicating a prevalence of mixed sea states. However, the wind-sea and swell information can be effectively separated using a spectral partitioning algorithm.

OCEAN ENGINEERING (2021)

Article Oceanography

Identification of wave systems in the multimodal sea state along the Indian shelf seas

M. M. Amrutha et al.

Summary: This study identified multimodal sea states at six locations in the shelf seas of India based on numerical model output and found that two wave systems from the south were present for most of the time in co-occurrence with other systems. The most energetic systems were observed mainly during the summer monsoon months.

OCEAN DYNAMICS (2021)

Article Oceanography

Comprehensive wave climate analysis of the Uruguayan coast

Rodrigo Alonso et al.

Summary: The study analyzed the variation of wave climate along the coast of Uruguay from the Atlantic to the Rio de la Plata estuary using high-resolution wave hindcast data. It identified three main regions along the coast and explored the different roles of wave systems in explaining the characteristics of each region.

OCEAN DYNAMICS (2021)

Article Meteorology & Atmospheric Sciences

The ERA5 global reanalysis

Hans Hersbach et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2020)

Article Engineering, Ocean

Spatially Tracking Wave Events in Partitioned Numerical Wave Model Outputs

Haoyu Jiang

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2019)

Article Oceanography

A Near-Real-Time Version of the Cross-Calibrated Multiplatform (CCMP) Ocean Surface Wind Velocity Data Set

Carl A. Mears et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2019)

Article Oceanography

Wave Climate from Spectra and Its Connections with Local and Remote Wind Climate

Haoyu Jiang et al.

JOURNAL OF PHYSICAL OCEANOGRAPHY (2019)

Article Geosciences, Multidisciplinary

The Global Signature of Ocean Wave Spectra

Jesus Portilla-Yandun

GEOPHYSICAL RESEARCH LETTERS (2018)

Article Geosciences, Multidisciplinary

Climate patterns derived from ocean wave spectra

Jesus Portilla-Yandun et al.

GEOPHYSICAL RESEARCH LETTERS (2016)

Article Engineering, Ocean

A Practical Method of Extracting Wind Sea and Swell from Directional Wave Spectrum

Zezong Chen et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2015)

Article Meteorology & Atmospheric Sciences

Wave spectra partitioning and long term statistical distribution

Jesus Portilla-Yandun et al.

OCEAN MODELLING (2015)

Article Meteorology & Atmospheric Sciences

The NCEP Climate Forecast System Version 2

Suranjana Saha et al.

JOURNAL OF CLIMATE (2014)

Article Engineering, Ocean

Wind Sea and Swell Separation of ID Wave Spectrum by a Spectrum Integration Method

Paul A. Hwang et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2012)

Article Oceanography

Measurement of long waves at the harbor of Marina di Carrara, Italy

Giorgio Bellotti et al.

OCEAN DYNAMICS (2011)

Article Engineering, Ocean

Spectral Partitioning and Identification of Wind Sea and Swell

Jesus Portilla et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2009)

Article Engineering, Ocean

Estimation of wind-sea and swell components in a bimodal sea state

K. C. Ewans et al.

JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME (2006)

Article Engineering, Ocean

On the growth of wind-generated waves in a swell-dominated region in the South Atlantic

N Violante-Carvalho et al.

JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME (2002)