Discussion of “Ocean Wave Statistics for 1961 North Atlantic Storm”

1978 ◽  
Vol 104 (4) ◽  
pp. 461-462
Author(s):  
Jurjen A. Battjes
Keyword(s):  
North Atlantic ◽  
Ocean Wave ◽  
Wave Statistics

Ocean Wave Statistics for 1961 North Atlantic Storm

1977 ◽  
Vol 103 (4) ◽  
pp. 433-448
Author(s):  
Subrata K. Chakrabarti ◽  
Ralph P. Cooley
Keyword(s):  
North Atlantic ◽  
Ocean Wave ◽  
Wave Statistics

Analysis of Wave Energy Sources in the North Atlantic Waters in View of Design Challenges

2016 ◽  
Author(s):  
Jose V. Taboada ◽  
Hirpa G. Lemu
Keyword(s):  
Renewable Energy ◽  
North Atlantic ◽  
Wave Energy ◽  
Energy Resources ◽  
Structural Performance ◽  
Energy Sources ◽  
Wave Power ◽  
Wave Statistics ◽  
Wave Characteristics

This paper describes a wave energy analysis of North Atlantic waters and provides an overview of the available resources. The analysis was conducted using a scatter diagram data combined with wave statistics and empirical parameters given by wave height and periods. Such an overview is instrumental for modelling of wave energy sources, design of wave energy converter (WEC) devices and determination of locations of the devices. Previous survey of wave energy resources widely focused on determination of the reliability on installations of WECs. Though the renewable energy source that can be utilized from the waves is huge, the innovative work in design and development of WECs is insignificant and the available technologies still require further optimization. Furthermore, the wave potential of North Atlantic waters is not sufficiently studied and documented. Closer review of the literature also shows that wave energy conversion technology, compared with other conversion machines of renewable energy sources such as wind energy and solar energy, seems still immature and most of the research and development efforts in this direction are limited in scope. The design of energy converters is also highly dictated by the wave energy resource intensity distribution, which varies from North to South hemisphere. The immaturity of the technology can be attributed to several factors. Since there are a number of uncertainties on the accuracy of wave data, the design, location and installation of WECs face a number of challenges in terms of their service life, structural performance and topological configuration. As a result, collection and assessment of wave characteristics and the wave state conditions data serve as key inputs for development of robust, reliable, operable and affordable wave energy converters. The fact that a number of variables are involved in wave distribution characteristics and the extraction of wave power, treating these variables in the design process imposes immense challenges for the design optimization and hence the optimum energy conversion. The conversion machines are expected to extract as high wave energy as possible while their structural performance is ensured. The study reported in this paper is to analyse wave data over several years of return periods with a detailed validation for wave statistics and wave power. The analysis is intended to contribute in better understanding of the wave characteristics with influencing parameters that can serve as design optimization parameters. A method is proposed to conduct a survey and analysis of the available wave energy resources and the potential at cited locations. The paper concludes that wave energy data accuracy is the baseline for project scoping, coastal and offshore design, and environmental impact assessments.

scholarly journals A Multisensor Comparison of Ocean Wave Frequency Spectra from a Research Vessel during the Southern Ocean Gas Exchange Experiment

2013 ◽  
Vol 30 (12) ◽  
pp. 2907-2925 ◽  
Author(s):  
Alejandro Cifuentes-Lorenzen ◽  
James B. Edson ◽  
Christopher J. Zappa ◽  
Ludovic Bariteau
Keyword(s):  
High Frequency ◽  
Doppler Radar ◽  
Inertial Sensors ◽  
Wave Spectrum ◽  
Ocean Wave ◽  
Modulation Transfer ◽  
Laser Altimeter ◽  
Frequency Spectra ◽  
Wave Statistics ◽  
Wave Measurements

Abstract Obtaining accurate measurements of wave statistics from research vessels remains a challenge due to the platform motion. One principal correction is the removal of ship heave and Doppler effects from point measurements. Here, open-ocean wave measurements were collected using a laser altimeter, a Doppler radar microwave sensor, a radar-based system, and inertial measurement units. Multiple instruments were deployed to capture the low- and high-frequency sea surface displacements. Doppler and motion correction algorithms were applied to obtain a full 1D (0.035–1.3 ± 0.2 Hz) wave spectrum. The radar-based system combined with the laser altimeter provided the optimal low- and high-frequency combination, producing a frequency spectrum in the range from 0.035 to 1.2 Hz for cruising speeds ≤3 m s−1 with a spectral rolloff of f−4 Hz and noise floor of −20/−30 dB. While on station, the significant wave height estimates were comparable within 10%–15% among instrumentation. Discrepancies in the total energy and in the spectral shape between instruments arise when the ship is in motion. These differences can be quantified using the spectral behavior of the measurements, accounting for aliasing and Doppler corrections. The inertial sensors provided information on the amplitude of the ship’s modulation transfer function, which was estimated to be ~1.3 ± 0.2 while on station and increased while underway [2.1 at ship-over-ground (SOG) speed; 4.3 m s−1]. The correction scheme presented here is adequate for measurements collected at cruising speeds of 3 m s−1 or less. At speeds greater than 5 m s−1, the motion and Doppler corrections are not sufficient to correct the observed spectral degradation.

The Development of a New Global Atlas of Wave Statistics

1985 ◽  
Vol 38 (1) ◽  
pp. 145-149
Author(s):  
N. M. C. Dacunha ◽  
N. Hogben
Keyword(s):  
Ocean Wave ◽  
Wave Statistics ◽  
Wave Data ◽  
Preliminary Account ◽  
Previous Account ◽  
The Uk

In 1967 a compilation of visual wave data was published as a book with the title Ocean Wave Statistics, which is still widely used. In 1983 work began on the development of a new global atlas of wave statistics which will be available both as a book and as a computer database. This task is being undertaken by NMI Ltd in collaboration with the UK Meteorological Office with funding from the Department of Industry and is expected to take about three years. A preliminary account of the project has already been published. This article briefly recapitulates the case for the new atlas and updates the indication previously given of the proposed form of the contents, which has been revised in the light of comments received. Reference will be included to the plans for an associated database not mentioned in the previous account.

scholarly journals OCEAN WAVE STATISTICS FROM FNWC SPECTRAL ANALYSES

1976 ◽  
Vol 1 (15) ◽  
pp. 13
Author(s):  
Warren C. Thompson ◽  
F. Michael Reynolds
Keyword(s):  
Deep Water ◽  
Water Wave ◽  
Spectral Element ◽  
Coastal Engineering ◽  
Ocean Wave ◽  
Frequency Of Occurrence ◽  
Numerical Weather ◽  
Significant Wave ◽  
Wave Statistics ◽  
Deep Water Wave

Climatological wave data that may be shoaled and refracted from a deep-water wave station can be compiled in two forms from spectral ocean wave analyses produced by the Fleet Numerical Weather Central at Monterey, California: (1) significant wave statistics, which are similar to statistical tables currently in use, and (2) spectral element statistics, which give the frequency of occurrence of energy densities contained in a matrix of 15 frequency bands and 12 direction bands. Experimental formats of both types of statistical compilations are presented, their properties are examined, and the coastal engineering applications of these statistics are discussed.

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