Journal of Ocean University of China

, Volume 16, Issue 6, pp 998–1002 | Cite as

Parameter identification of JONSWAP spectrum acquired by airborne LIDAR

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Abstract

In this study, we developed the first linear Joint North Sea Wave Project (JONSWAP) spectrum (JS), which involves a transformation from the JS solution to the natural logarithmic scale. This transformation is convenient for defining the least squares function in terms of the scale and shape parameters. We identified these two wind-dependent parameters to better understand the wind effect on surface waves. Due to its efficiency and high-resolution, we employed the airborne Light Detection and Ranging (LIDAR) system for our measurements. Due to the lack of actual data, we simulated ocean waves in the MATLAB environment, which can be easily translated into industrial programming language. We utilized the Longuet-Higgin (LH) random-phase method to generate the time series of wave records and used the fast Fourier transform (FFT) technique to compute the power spectra density. After validating these procedures, we identified the JS parameters by minimizing the mean-square error of the target spectrum to that of the estimated spectrum obtained by FFT. We determined that the estimation error is relative to the amount of available wave record data. Finally, we found the inverse computation of wind factors (wind speed and wind fetch length) to be robust and sufficiently precise for wave forecasting.

Key words

JONSWAP spectrum parameter identification least square method airborne LIDAR 

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Notes

Acknowledgements

This work is supported by the Scientific Instruments Development Program of NSFC (No. 615278010), and the National Key Basic Research Program of China (973 program) under grant No. 2014CB845301/2/3.

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Copyright information

© Science Press, Ocean University of China and Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Key Laboratory of Autonomous Systems and Networked Control, Ministry of EducationSouth China University of TechnologyGuangzhouP. R. China
  2. 2.LAGEP, Bâtiment CPEUniversité Claude Bernard Lyon 1VilleurbanneFrance

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