The Coherency and Correlation between Sea Surface Temperature and Wind Velocity in Malacca Strait: Cross Wavelet Transform and Wavelet Coherency Application

  • Hanah Khoirunnisa Geomatics Engineering Department, State Polytechnics of Batam
  • Ulung Jantama Wisha Research Institute for Coastal Resources and Vulnerability, Ministry of Marine Affairs and Fisheries
  • Muhammad Zainuddin Lubis Geomatics Engineering Department, State Polytechnics of Batam

Abstract

This study tried to observe the correlation and coherency between sea surface temperature (SST) and wind velocity in the Malacca Strait at the year of 2015. The SST and wind velocity data with 6 hours interval step have been used in this study. S-Transform, the Cross Wavelet Transform, and the Wavelet Coherency were applied to observe the influence of the variation of sea surface temperature to the wind velocity in Malacca Strait. These methods could produce the phase lag and the time of occurrence between them. S-Transform was used to show the spectrum energy of the sea surface temperature variation. The strongest correlation between them has the period of 32 days during July to August and October to November at each point with significance level of 95 %. The coherency of them has the range of 4 to 64 days at each point. The last result is the spectrum energy of SST variation that has the period of 5 to 50 days at each point. It was similar to the result of the correlation and coherence period between the wind velocity and the SST data

References

Amiruddin A. M., Z. Z. Ibrahim, and S. A. Ismail. 2011. Water Mass Characteristics in the Strait of Malacca using Ocean Data View. Research Journal of Environmental Sciences, 5(1):49-58.

Chua, T.E., S.A. Ross and H. Yu, 1997. Malacca Straits Environmental Profile. MPP-EAS Technical Report 10. IMO., Quezon City, Philipines, pp: 259.

Hii S. Y., A. T. Law, N. A. M. Shazili, M. K. Abdul Rashid, H. Mohd Lokman, F. M. Yusoff, and H. M. Ibrahim. 2006. The Straits of Malacca: Hydrological Parameters, Biochemical Oxygen Deman and Total Suspended Solids. Journal of Sustainability Science and Management, 1(1):1-14.

Lin, Y. N., K. Sieh, and J. Stock. 2010. Submarine Landslides along the Malacca Strait-Mergui Basin Shelf Margin: Insights from Sequence-Stratigraphic Analysis. Journal of Geophysical Research, 115: B12102.

Susanto, D. R., A. L. Gordon, and Q. Zheng. 2001. Upwelling along the Coasts of Java and Sumatra and its Relation to ENSO. Geophysical Research Letters, 28: 1599 – 1602.

Grinsted, A., J. C. Moore, and S. Jevrejeva. 2004. Application of the Cross Wavelet Transform and Wavelet Coherence to Geophysical Time Series. Nonlinear Processes in Geophysics, 11: 561 – 566.

Rao, R. R. and R. Sivakumar. 2000. Seasonal Variability of Near-surface Thermal Structure and Heat Budget of the Mixed Layer of the Tropical Indian Ocean from a New Global Ocean Temperature Climatology. Journal of Geophysical Research, 105:995-1015.

Syamsul, R., D. Peter, W. Mulyadi, S. Jurgen, I. Yopie, I. Taufiq, M. Muhammad. 2012. General Circulation in The Malacca Strait and Andaman Sea: A Numerical Model Study. American Journal of Environmental Sciences. 8(5): 479-488.

Tomczak, M., dan J. S. Godfrey. 2001. Regional Oceanography: An Introduction. Permagon. Tarrytown. New York.

Wang, Y. H. 2010. The Tutorial: S-Transform. National Taiwan University. ROC.

Wyrtki, K. 1961. Physical Oceanography of the South-East Asian Waters. Naga Report 2. Univ. Calif Scripps Inst. Ocean., La Jolla, pp. 62-91.
Published
2017-09-01
How to Cite
KHOIRUNNISA, Hanah; WISHA, Ulung Jantama; LUBIS, Muhammad Zainuddin. The Coherency and Correlation between Sea Surface Temperature and Wind Velocity in Malacca Strait: Cross Wavelet Transform and Wavelet Coherency Application. Journal of Geoscience, Engineering, Environment, and Technology, [S.l.], v. 2, n. 3, p. 210-216, sep. 2017. ISSN 2541-5794. Available at: <http://journal.uir.ac.id/index.php/JGEET/article/view/590>. Date accessed: 25 nov. 2017. doi: https://doi.org/10.24273/jgeet.2017.2.3.590.
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Articles