Verification of 2D Wave Spectra Produced by Wave Models

2004 ◽  
Author(s):  
Jose´ Caˆndido ◽  
Henrique Oliveira Pires ◽  
M. Teresa Pontes
Keyword(s):  
Frequency Band ◽  
Wind Wave ◽  
Wave Spectra ◽  
Sea State ◽  
Directional Wave ◽  
Wave Models ◽  
Different Origins ◽  
Buoy Data

In this paper a methodology for assessing the accuracy of full directional wave spectra produced by wind-wave models is presented and tested. This methodology includes graphical and parametric comparisons of model directional spectra against data obtained from directional buoys. Results of the verification of 3rd generation wind-wave models using directional buoy data show that in general the accuracy of model directional results is good. In addition it was found that this methodology is well suited to identify the occurrence of different wave systems in the same sea state, namely swells within the same frequency band but with different origins.

scholarly journals A NEW STRATEGIC WAVE MEASUREMENT STATION OFF NAPLES PORT MAIN BREAKWATER

2017 ◽  
pp. 36 ◽  
Author(s):  
Luca Centurioni ◽  
Lance Braasch ◽  
Enrico Di Lauro ◽  
Pasquale Contestabile ◽  
Francesco De Leo ◽  
...  
Keyword(s):  
Wave Energy ◽  
Low Cost ◽  
Acoustic Doppler Current Profiler ◽  
Wave Spectra ◽  
Sea State ◽  
Gulf Of Naples ◽  
Current Profiler ◽  
Directional Wave ◽  
Low Costs ◽  
Good Agreement

The accuracy of directional wave spectra sensors is crucial for obtaining accurate forecasts of ocean and coastal wave conditions for scientific and engineering applications. In this paper, a newly designed, low-cost GPS-based wave buoy, called the Directional Wave Spectra Drifter (DWSD), is presented. A field test campaign was conducted at the Gulf of Naples, Italy with the goal of comparing the directional wave properties obtained with the DWSD and with a nearly co-located bottom-mounted Acoustic Doppler Current Profiler (ADCP) from Teledyne RD-Instruments. The comparison shows a very good agreement between the two methodologies. The reliability of this innovative instrument and its low costs allow a large variety of applications, including the implementation of a global, satellite-linked, real-time open-ocean network of drifting directional wave spectra sensors and monitoring the sea-state in harbors to aid ship transit and for planning coastal and offshore constructions. The DWSD is currently in use to better constrain the wave energy climatology with the goal of optimizing the design of a full-scale prototype Wave Energy Converter (WEC) in the port of Naples, Italy.

Directional Wave Partitioning and Its Applications to the Structural Analysis of an FPSO

2008 ◽  
Author(s):  
Ruth Lawford ◽  
Jill Bradon ◽  
Thomas Barberon ◽  
Claude Camps ◽  
Richard Jameson
Keyword(s):  
Time Series ◽  
Structural Analysis ◽  
Wave Spectrum ◽  
Wave Spectra ◽  
Offshore Structure ◽  
Sea State ◽  
Environmental Force ◽  
Directional Wave ◽  
Wind Sea ◽  
The Individual

A full characterisation of the individual components of a sea-state is key to enabling the response of an offshore structure to be accurately calculated. This paper discusses the partitioning of a time series of directional wave spectra into wind-sea and swell components with distinct frequency and direction characteristics. Once the wave data have been partitioned, JONSWAP or Pierson-Moskowitz parameters can be fitted to each spectrum using ‘best-fit’ techniques. The result of the partitioning and fitting analyses is a time series of wave parameters defining the wave spectrum for each component of the sea state. A 10-year site specific time series of directional wave spectra has been partitioned in this way and used in the analysis of the Triton FPSO, a turret moored FPSO in the central North Sea. The representation of the directionality and magnitude of each environmental force acting simultaneously on the vessel, allows the relative heading of the vessel to be determined and the mooring and hydrodynamic analyses to be performed. These analyses provided input to a structural analysis of the FPSO, which resulted in an inspection plan for monitoring the effects of the metocean conditions on the unit.

scholarly journals REAL-TIME ASSIMILATION USING A DENSE ARRAY OF DIRECTIONAL WAVE OBSERVATIONS

2018 ◽  
pp. 6
Author(s):  
Pieter Bart Smit ◽  
Tim Janssen ◽  
Wheeler Gans ◽  
Cameron Dunning
Keyword(s):  
Low Cost ◽  
Model Performance ◽  
Data Networks ◽  
Large Numbers ◽  
Independent Observations ◽  
Directional Wave ◽  
Wave Conditions ◽  
Wave Models ◽  
Solar Powered ◽  
Buoy Data

Wave conditions along our coastlines are monitored using networks of wave buoys. Augmented with regional wave now- and hind-casts from operational wave models, these data networks provide detailed regional information of wave conditions providing vital updates of wave conditions for maritime, engineering, recreational and scientific purposes. Currently, the observational networks are mostly used to initiate models and assess model performance, but are usually not directly integrated into the modeling system. Recent work by Crosby et al. (2017) explores the integration of buoy data into models and shows that data assimilation of buoy observations into models can improve predictions and wave hindcasts. The results suggest that assimilation of dense observational networks results in significant and important improvements in model performance. In the current work we leverage these modeling advances with the recent development of low-cost directional wave buoys (such as the Spoondrift Spotter, www.spoondrift.co). The use of low-cost and solar powered instruments allows for much denser long-term arrays of instruments than was previously possible. The availability of large numbers of independent observations, in turn, can provide excellent constrains on models and model boundary conditions.

Multi-peaked directional wave spectra based on extensive field measurement data in the Gulf of Oman

2021 ◽  
Vol 230 ◽  
pp. 109057
Author(s):  
Mohammad Adibzade ◽  
Mehdi Shafieefar ◽  
Hassan Akbari ◽  
Roozbeh Panahi
Keyword(s):  
Field Measurement ◽  
Measurement Data ◽  
Wave Spectra ◽  
Gulf Of Oman ◽  
Extensive Field ◽  
Directional Wave
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