Optimal Methods for Estimating the JONSWAP Spectrum Peak Enhancement Factor From Measured and Hindcast Wave Data

被引:2
|
作者
Ewans, Kevin [1 ]
McConochie, Jason [2 ]
机构
[1] MetOcean Res Ltd, New Plymouth 4310, New Zealand
[2] Shell Australia Pty Ltd, Perth, WA 6837, Australia
关键词
coastal engineering; design of offshore structures; ocean waves and associated statistics; offshore safety and reliability; probability and spectral wave modeling;
D O I
10.1115/1.4047931
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The specification of design wave spectra is based on spectral parameters estimated from available wave data. Measured data allow high-resolution estimates to be made, but they suffer from sampling variability and often do not contain a sufficient number of measurements in extreme sea states. Hindcast data can be used to examine spectral features associated with extreme sea states, but they can be limited by resolution and are dependent on how the physics are incorporated in the source terms of the wave model. We examine and compare the effects of estimating JONSWAP spectrum peak enhancement factor from measured and hindcast data for a range of sea states but particularly those with large significant wave heights. In the case of the measured data, we build on earlier work and review effects associated with different methods for processing measured time series data, including the effect of sampling frequency, record length, and smoothing. These are then contrasted with estimates made from typical hindcast data, including the effect of the spectral shape associated with different source terms-in particular the four-wave interaction term. Finally, we provide recommendations on how best to estimate the peak enhancement factor of the JONSWAP spectrum for design purposes.
引用
收藏
页数:11
相关论文
共 4 条
  • [1] OPTIMAL METHODS FOR ESTIMATING THE JONSWAP SPECTRUM PEAK ENHANCEMENT FACTOR FROM MEASURED AND HINDCAST WAVE DATA
    Ewans, Kevin
    McConochie, Jason
    PROCEEDINGS OF THE ASME 38TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2019, VOL 3, 2019,
  • [2] QUALITY CONTROL ISSUES IN ESTIMATING WAVE CLIMATE FROM HINDCAST AND SATELLITE DATA
    Bitner-Gregersen, Elzbieta M.
    de Valk, Cees
    OMAE 2008: PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING - 2008, VOL 2: STRUCTURES, SAFETY AND RELIABILITY, 2008, : 819 - 827
  • [3] OPTIMAL FILTERING METHODS FOR ESTIMATING THE SPECTRUM OF A STATIONARY RANDOM PROCESS FROM ITS DISCRETE SAMPLES.
    Movsesyan, V.M.
    1600, (08):
  • [4] Methods for Estimating the Autocorrelation Function and the Power Density Spectrum from randomly sampled Laser Doppler Data
    Nobach, Holger
    Damaschke, Nils
    Kuehn, Volker
    XXX. MESSTECHNISCHES SYMPOSIUM, 2016, : 151 - 158