CORRECTION FACTORS OF HINDCAST WIND AND WAVE FOR MALAYSIAN WATERS
Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN STRUCTURAL, CIVIL, ENVIRONMENTAL AND MECHANICAL ENGINEERING
Author(s): KURIAN V. J , LIEW M.S , MAYEETAE Z , YEW G. Z
Abstract: Unreliability of measured meteorological and oceanographic (metocean) data happens due to missing data as a result of faulty measuring equipment during the measuring process. Therefore, SEAFINE hindcast model data is introduced as an alternative to measured data. SEAFINE is readily available, parametrically reliable and is able to provide long periods of historical metocean data. Therefore, SEAFINE becomes a common tool to assess metocean information at any locations especially in the South China Sea. However, SEAFINE is found to be not as accurate as measured data. The accuracy of the SEAFINE is improved and correction factors are recommended for three (3) operating regions located in Malaysian waters which are Peninsular Malaysian Operation, Serawak operation and Sabah Operation. The findings presented herein found that wind speeds determined from the SEAFINE are generally higher than measured ones. Wave height data obtained from the SEAFINE is found to agree well with that of measur
- Publication Date: 14-Jul-2013
- DOI: 10.15224/978-981-07-7021-1-56
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CORRELATION OF METOCEAN PARAMETERS FOR MALAYSIAN WATERS
Published In: INTERNATIONAL CONFERENCE ON FUTURE TRENDS IN STRUCTURAL, CIVIL, ENVIRONMENTAL AND MECHANICAL ENGINEERING
Author(s): LIEW M.S , OTHMAN N.A
Abstract: Numerous time series analysis method has been introduced. Metocean forces are known as the most challenging factors in designing stage of offshore structure. Environmental loads are also known as the basic design of any primary structure of offshore platforms. Cross-spectral analysis enables two parameters to be analyzed simultaneously. In this research, a cross-spectral analysis of two environmental loads which are wind speed and wave height, will be analyzed simultaneously. Cross-spectral density is defined as the Fourier Transform of the corresponding cross-correlation function. Cross-correlation is a measure of similarityof these two waveforms as a function of a time-lag applied to one of them. In time series analysis, the cross-spectrum is used as part of frequency domain analysis of the cross-correlation between two time series.Cross-spectral analysis is also known as an extension of spectral analysis. Spectral analysis is described as a representation of a time series or mathema
- Publication Date: 14-Jul-2013
- DOI: 10.15224/978-981-07-7021-1-57
- Views: 0
- Downloads: 0