Comparison of spectral partitioning techniques for wind wave and swell.

The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme.

Saved in:
Bibliographic Details
Main Authors: Li, Shuiqing, Zhao, Dongliang
Format: Journal Contribution biblioteca
Language:English
Published: 2012
Subjects:Wind wave, Wave spectrum, Swell, Partition,
Online Access:http://hdl.handle.net/1834/14829
Tags: Add Tag
No Tags, Be the first to tag this record!
id dig-aquadocs-1834-14829
record_format koha
spelling dig-aquadocs-1834-148292021-05-19T06:40:46Z Comparison of spectral partitioning techniques for wind wave and swell. Li, Shuiqing Zhao, Dongliang Wind wave Wave spectrum Swell Partition The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme. Published 2018-11-23T07:06:52Z 2018-11-23T07:06:52Z 2012 Journal Contribution Not Known http://hdl.handle.net/1834/14829 en pp.24-36
institution UNESCO
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-aquadocs
tag biblioteca
region Europa del Oeste
libraryname Repositorio AQUADOCS
language English
topic Wind wave
Wave spectrum
Swell
Partition
Wind wave
Wave spectrum
Swell
Partition
spellingShingle Wind wave
Wave spectrum
Swell
Partition
Wind wave
Wave spectrum
Swell
Partition
Li, Shuiqing
Zhao, Dongliang
Comparison of spectral partitioning techniques for wind wave and swell.
description The ocean waves are generally mixed with wind wave and swell. In order to separate these two kinds of ocean waves, many wave spectral partitioning techniques have been proposed. In this study, a two-dimensional(2D) and three one-dimensional (1D) wave spectral partitioning techniques (denoted as PM, WH, and JP) are examined based on the model simulations and in-situ observations. It is shown that the 2D technique could provide the most reliable results as a whole. Compared with 2D technique, PM and JP techniques obviously overestimate the wind-wave components, and the same situation happens for WH technique at low wind speed. With the adjustment of the partitioning frequency ratio, the 1D PM technique is modified, in which the result agree well with that of the 2D scheme.
format Journal Contribution
topic_facet Wind wave
Wave spectrum
Swell
Partition
author Li, Shuiqing
Zhao, Dongliang
author_facet Li, Shuiqing
Zhao, Dongliang
author_sort Li, Shuiqing
title Comparison of spectral partitioning techniques for wind wave and swell.
title_short Comparison of spectral partitioning techniques for wind wave and swell.
title_full Comparison of spectral partitioning techniques for wind wave and swell.
title_fullStr Comparison of spectral partitioning techniques for wind wave and swell.
title_full_unstemmed Comparison of spectral partitioning techniques for wind wave and swell.
title_sort comparison of spectral partitioning techniques for wind wave and swell.
publishDate 2012
url http://hdl.handle.net/1834/14829
work_keys_str_mv AT lishuiqing comparisonofspectralpartitioningtechniquesforwindwaveandswell
AT zhaodongliang comparisonofspectralpartitioningtechniquesforwindwaveandswell
_version_ 1756076092229156864