Abstract
This paper was utilized a new approach for modelling sea surface current from JASON-1 satellite altimetry data. This was based on utilizing of the Volterra series expansion in order to transform the time series satellite altimetry data into a real ocean surface current. Thus,the basic equation of hydrodynamic has been solved by second order Volterra model. Then, the Volterra kernel inversion used to obtain the sea surface current velocity. The finite element model of Lax-Wendorff schemes used which was based on triangular space-time elements to map the spatial current variation in the South China Sea over different monsoon periods. In situ sea surface current measurements were collected along the east coast of peninsular Malaysia by using electromagnetic current meters. The study shows that the maximum current magnitude of 1.2 m/s was occurred during the northeast monsoon period as compared to other monsoon periods. The main noticeable feature was an existence of anticlockwise eddy in the Gulf of Thailand. The results also shows a good correlation between in situ current measurements and the Volterra-Lax-Wendrof scheme with high R2 of 0.91. It can be said that Volterra-Lax-Wendrof scheme can be used as numerical scheme for modelling sea surface current from altimetry data.
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References
Alejandro, C., Nasir, M.S.: Dynamic bahaviour of the upper layers of the South China Sea. In: Proceeding of the national conference on climate change, Universiti Pertanian Malaysia, Serdang, Selangor, Malaysia, August 12-13, 1996, pp. 135–140 (1996)
Inglada, J., Garello, R.: Depth estimation and 3D topography reconstruction from SAR images showing underwater bottom topography signatures. In: Proceedings of IGARSS 1999 (1999)
Imawaki, S., Unchida, H., Ichikawa, K., Ambe, D.: Estimating the High-Resolution Mean sea-Surface Velocity Field by Combined Use of Altimeter and Drifter Data for Geoid Model Improvement. Space Science Reviews 108, 195–204 (2003)
Hu, J., Kawamura, H., Hong, H., Kobashi, F., Wang, D.: 3-6 Months Variation of Sea surface Height in The South China Sea and Its Adjacent Ocean. J. Oceanography 57, 69–78 (2001)
Liska, L., Wendroff, B.: Composite schemes for conservation laws. SIAM J. Numer. Anal. 35(6), 2250–2271 (1998)
Maged, M.: Coastal Water Circulation off Kuala Terengganu, Malaysia. MSc. Thesis Universiti Pertanian Malaysia (1994)
Maged, M.: Wave spectra and shoreline change by remote sensing data. Ph.D. Thesis, Universiti Putra Malaysia, Serdang, Kuala Lumpur, Malaysia (2000)
Mohd, I., Ahemd, S., Wah, F., Chin, K.: Water Circulation Pattern from Sea Surface Current and Chlorophyll-A Derived Using Satellite Data in the South China Sea. In: Paper Presented at the 2nd International Hydrographic and Oceanographic Conference and exhibition 2005 (IHOCE 2005), Kuala Lumpur, Malaysia, July 5-7, 2005 (2005)
Wyrtki, K.: Physical Oceanography of the South-East Asian Waters. In: NAGA Report, vol. 2, Univ. Calif., Scripps Inst. Ocean, La Jolla (1962)
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Marghany, M., Hashim, M., Cracknell, A.P. (2008). Volterra Algorithm for Modelling Sea Surface Current Circulation from Satellite Altimetry Data. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69848-7_11
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DOI: https://doi.org/10.1007/978-3-540-69848-7_11
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