2002Unpublished venueRequires access

Validation of wave model using ERS altimeter and SAR wave mode data

Ruixue Zhang, Tian Kuay Lim, Dayalan Kasilingam, I.‐I. Lin, V. Khoo

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Abstract

A second generation ocean wave model of Meteorological Service Singapore (MSS) is validated in two ways, theoretically and by using field data. The results of theoretical validation show that the wave growth rate and spectrum are in agreement with expected parameters. The field data is chosen between 16-21 Nov., 1995, which corresponding to the North East monsoon period. The wave model is driven by the 10 m surface wind of MSS Numerical Weather Prediction (NWP) model. The Significant Wave Height (SWH) of the wave model is compared with the SWH ERS altimeter data. In general, it is found that the two data sets are in agreement, the SWH of the wave model is found to be higher than the altimeter SWH in high wave region and lower in low wave region. Qualitative comparisons between SAR wave mode data and the wave model spectra are also made. SAR wave mode spectra reflect the peak frequency detected in wave model outputs. From the evolution of SWH with time, it is shown that the wave model is capable in predicting the wave pattern in response to the North East monsoon phenomena.

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What this paper is about

A second generation ocean wave model of Meteorological Service Singapore (MSS) is validated in two ways, theoretically and by using field data. The results of theoretical validation show that the wave growth rate and spectrum are in agreement with expected parameters. The field data is chosen between 16-21 Nov., 1995, which corresponding to the North East monsoon period. The wave model is driven by the 10 m surface wind of MSS Numerical Weather Prediction (NWP) model. The Significant Wave Height (SWH) of the wave model is compared with the SWH ERS altimeter data. In general, it is found that the two data sets are in agreement, the SWH of the wave model is found to be higher than the altimeter SWH in high wave region and lower in low wave region. Qualitative comparisons between SAR wave mode data and the wave model spectra are also made. SAR wave mode spectra reflect the peak frequency detected in wave model outputs. From the evolution of SWH with time, it is shown that the wave model is capable in predicting the wave pattern in response to the North East monsoon phenomena.

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Available abstract

A second generation ocean wave model of Meteorological Service Singapore (MSS) is validated in two ways, theoretically and by using field data. The results of theoretical validation show that the wave growth rate and spectrum are in agreement with expected parameters. The field data is chosen between 16-21 Nov., 1995, which corresponding to the North East monsoon period. The wave model is driven by the 10 m surface wind of MSS Numerical Weather Prediction (NWP) model. The Significant Wave Height (SWH) of the wave model is compared with the SWH ERS altimeter data. In general, it is found that the two data sets are in agreement, the SWH of the wave model is found to be higher than the altimeter SWH in high wave region and lower in low wave region. Qualitative comparisons between SAR wave mode data and the wave model spectra are also made. SAR wave mode spectra reflect the peak frequency detected in wave model outputs. From the evolution of SWH with time, it is shown that the wave model is capable in predicting the wave pattern in response to the North East monsoon phenomena.

Key concepts: Significant wave height, Wind wave model, Altimeter, Wave model, Wave height, Wind wave, Electromagnetic spectrum, Surface wave

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