On data assimilation in a pseudo-spectral wave prediction model using a Kalman filter

Seongjin Yoon, Jinwhan Kim, Wooyoung Choi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A wave data assimilation scheme based on Kalman filtering combined with a nonlinear wave model is developed. Two state variables, the free surface elevation and the free surface velocity potential, are updated in time by solving the nonlinear evolution equations numerically using an efficient pseudo-spectral method while the error covariance matrix often computed numerically is determined analytically by solving the linear wave model in the wavenumber domain. Numerical experiments are performed with synthetic data with noise for one-dimensionally propagating irregular waves characterized by the JONSWAP spectrum. It is shown that the estimated free surface elevation using the present data assimilation scheme matches well the numerical solution of the nonlinear wave model in the absence of noise. The present data assimilation scheme improves greatly the stability and efficiency of the wave prediction system in comparison with that based on a purely numerical data assimilation scheme.

Original languageEnglish (US)
Title of host publicationProgram Book - OCEANS 2012 MTS/IEEE Yeosu
Subtitle of host publicationThe Living Ocean and Coast - Diversity of Resources and Sustainable Activities
DOIs
StatePublished - Oct 1 2012
EventOCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities - Yeosu, Korea, Republic of
Duration: May 21 2012May 24 2012

Publication series

NameProgram Book - OCEANS 2012 MTS/IEEE Yeosu: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities

Other

OtherOCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities
CountryKorea, Republic of
CityYeosu
Period5/21/125/24/12

All Science Journal Classification (ASJC) codes

  • Ocean Engineering

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