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Long-Term Tidal Analysis and Prediction from Tide Gauge Stations in Malaysia Using Harmonic Analysis
Tides are dynamic in nature and are generally difficult to predict accurately. When combined with meteorological effects and natural disasters, tidal analysis, and prediction require extensive research with the appropriate methods and software to predict the tides accurately. Some of the commonly used software in Malaysia are GeoTide and TOTIS based on harmonic analysis, and they may produce different results. Hence, this research aims to evaluate the reliability of GeoTide and TOTIS software for tidal analysis and prediction in Malaysia. The hourly tidal data of 19 years is retrieved from 17 tide gauge stations in Malaysia from the Department of Survey and Mapping Malaysia (DSMM) through the University of Hawaii Sea Level Centre (UHSLC) Legacy Data Portal to achieve the aim of the study. The latest updated data period for each tide gauge station is used based on data availability. The tidal data is analysed and predicted using harmonic analysis through GeoTide and TOTIS software. Tidal constituents, which are generated through tidal analysis, are employed to forecast tides. The root mean square error (RMSE) and the datum offset is are computed to assess the outcomes obtained from both software. The RMSE of the results from each software is within 0.15 m for all stations. Comparing the results between both software shows that the mean difference in RMSE is 0.007 m, and the differences in datum levels are within 0.07 m for each station. Thus, the differences in RMSE are minimal, and the datum offset is insignificant. It implies that both GeoTide and TOTIS software is reliable for tidal analysis and prediction accuracy.
Long-Term Tidal Analysis and Prediction from Tide Gauge Stations in Malaysia Using Harmonic Analysis
Tides are dynamic in nature and are generally difficult to predict accurately. When combined with meteorological effects and natural disasters, tidal analysis, and prediction require extensive research with the appropriate methods and software to predict the tides accurately. Some of the commonly used software in Malaysia are GeoTide and TOTIS based on harmonic analysis, and they may produce different results. Hence, this research aims to evaluate the reliability of GeoTide and TOTIS software for tidal analysis and prediction in Malaysia. The hourly tidal data of 19 years is retrieved from 17 tide gauge stations in Malaysia from the Department of Survey and Mapping Malaysia (DSMM) through the University of Hawaii Sea Level Centre (UHSLC) Legacy Data Portal to achieve the aim of the study. The latest updated data period for each tide gauge station is used based on data availability. The tidal data is analysed and predicted using harmonic analysis through GeoTide and TOTIS software. Tidal constituents, which are generated through tidal analysis, are employed to forecast tides. The root mean square error (RMSE) and the datum offset is are computed to assess the outcomes obtained from both software. The RMSE of the results from each software is within 0.15 m for all stations. Comparing the results between both software shows that the mean difference in RMSE is 0.007 m, and the differences in datum levels are within 0.07 m for each station. Thus, the differences in RMSE are minimal, and the datum offset is insignificant. It implies that both GeoTide and TOTIS software is reliable for tidal analysis and prediction accuracy.
Long-Term Tidal Analysis and Prediction from Tide Gauge Stations in Malaysia Using Harmonic Analysis
Earth & Environmental sci. Library
Yadava, Ram Narayan (editor) / Ujang, Muhamad Uznir (editor) / Daric, L. Z. H. (author) / Din, A. H. M. (author) / Hamden, M. H. (author) / Alihan, N. S. A. (author) / Adzmi, N. H. M. (author)
2024-03-31
32 pages
Article/Chapter (Book)
Electronic Resource
English
Tidal analysis , Tidal prediction , GeoTide , TOTIS , Tide Gauge , Tidal constituents Computer Science , Computer Applications , Geography, general , Environmental Management , Monitoring/Environmental Analysis , Analytical Chemistry , Geotechnical Engineering & Applied Earth Sciences , Earth and Environmental Science
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