Time-Frequency and Nonlinear Analysis of Tidal Data Observed on the Kuroshio Path

Full-Text HTML XML Download Download as PDF (Size:3692KB) PP. 147-159
DOI: 10.4236/ijmnta.2016.54015    432 Downloads   565 Views  
Author(s)    Leave a comment


The tidal data of Kushimoto and Uragami on flow path of Kuroshio from 2004 to 2005 are investigated and discussed by time-frequency methods and nonlinear methods in this paper. These analyzing methods based on mathematical science show us new findings about the tidal motion observed on Kuroshio flow path. On the time-frequency analysis, 12 hours component and 24 hours component swing during the period of 350 hours and 320 hours respectively. However, any remarkable differences or changes depending on Kuroshio flow path weren’t seen on the result of time-frequency analysis. On the nonlinear analysis, a periodical structure has seen on the mutual information of tidal difference data, while Kuroshio flow is stable. In addition, the mutual information showed a characteristic of randomness and irregularity, while Kuroshio flow is unstable. The important results brought us a new finding such as classification of tidal motion regardless of the flow path of Kuroshio.

Cite this paper

Kirimoto, K. (2016) Time-Frequency and Nonlinear Analysis of Tidal Data Observed on the Kuroshio Path. International Journal of Modern Nonlinear Theory and Application, 5, 147-159. doi: 10.4236/ijmnta.2016.54015.


[1] Ken, S. and Nobuhiko, H. (1998) Variability of the Path of the Kuroshio Ocean Current over the Past 25,000 Years. Nature, 392, 592-595.
[2] Winslow and Lee, J.R. (1955) A Study of Japanese Life and Customs as Portrayed in Selected Juvenile Fiction Published from 1912 to 1954. ETD Collection for AUC Robert W. Woodruff Library, Paper 382.
[3] National Imagery and Mapping Agency, Bethesda (1995) Ocean Current. The American Practical Navigation, 31, 433-440.
[4] Shigeo, M. (1961) On the Difference in the Monthly Sea Level between Kushimoto and Uragami, Japan. Journal of the Oceanographical Society of Japan, 17, 197-200.
[5] Masaki, K. (1995) Variations of Current Path, Velocity, and Volume Transport of the Kuroshio in Relation with the Large Meander. Journal of Physical Oceanography, 25, 3103-3117.
[6] Yoshihiko, S. and Kohichi, F. (1999) Why Does the Sea Level Difference between Kushimoto and Uragami Show Periods of Large Meander and Non-Large Meander Paths of the Kuroshio South of Japan? Journal of Oceanography, 55, 43-51.
[7] Yoichi, M., Toru, N., Keiko, N., Takashi, K., Junichi, T. and Yutaka, N. (2012) Oceanic Structure in the Vicinity of Cape Shionomisaki and Distribution of Sea Level Height. Oceanography in Japan, 20, 167-177. (In Japanese)
[8] Toru, N., Yochi, M., Keiko, N., Takashi, K., Junichi, T. and Yutaka, N. (2012) Seasonal Variation of the Sea Level Difference between Kushimoto and Uragami Tide-Gauge Stations. La Mer, 50, 77-84. (In Japanese)
[9] J-DOSS; JODC Data On-Line Service System Provided by the Japan Oceanographic Data Center (JODC).
[10] Masaki, K. (1980) Sea Level Variations Along the South Coast of Japan and the Large Meander in the Kuroshio. Journal of the Oceanographical Society of Japan, 36, 97-104.
[11] Masaki, K. (1987) Spectral Properties of Sea Level and Time Scales of Kuroshio Path Variations. Journal of the Oceanographical Society of Japan, 43, 111-123.
[12] Frison, T.W., Abarbanel, H.D., Earle, M.D., Schultz, J.R. and Scherer, W.D. (1999) Chaos and Predictability in Ocean Water Levels. Journal of Geophysical Research: Oceans, 104, 7935-7951.
[13] Kenta, K., Satoki, S., Kenji, N. and Sumitoshi, O. (2002) Phenomenological Approaches to Co-Oscillating Tide in Ariake Bay by Time-Frequency, Nonlinear Methods. In SICE 2002. Proceedings of the 41st SICE Annual Conference, 2, 1059-1061.
[14] Kenta, K. and Sumitoshi, O. (2002) Effects on Tidal Fluctuations by Windings of Kuroshio Current and Flow Path Monitoring by Nonlinear Analysis. In SICE 2002. Proceedings of the 41st SICE Annual Conference, 2, 1062-1066.
[15] Fraser, A.M. and Swinney, H.L. (1986) Independent Coordinates for Strange Attractors from Mutual Information. Physical Review A, 33, 1134-1140.
[16] Lin, T.J., Juang, R.C., Chen, Y.C. and Chen, C.C. (2001) Predictions of Flow Transitions in a Bubble Column by Chaotic Time Series Analysis of Pressure Fluctuation Signals. Chemical Engineering Science, 56, 1057-1065.

comments powered by Disqus

Copyright © 2017 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.