Interaction between the East China Sea Kuroshio and the Ryukyu Current as revealed by the self‐organizing map

[1] The self‐organizing map (SOM) is used to study the linkage between the two western boundary currents, the Kuroshio Current and the Ryukyu Current, through the Kerama Gap. Four coherent ocean current patterns, extracted from a numerical model output for the Kerama Gap area, are used to describe the variability of the Kuroshio current axis and the mesoscale eddies in the Ryukyu Current system. The temporal evolution of these four patterns shows a robust cycle with an average period of 120 days. The shift of the Kuroshio current axis is found to be a dominant factor in determining the water exchange in the Kerama Gap, and the eddies associated with the Ryukyu Current are also important in affecting the strength of eddies in the Kerama Gap. The interaction between the Kuroshio Current and the Ryukyu Current through the Kerama Gap as revealed by the SOM provides new insights in understanding the water exchange between the East China Sea and the northwest Pacific.

[1]  Fernando Bação,et al.  Self-organizing Maps as Substitutes for K-Means Clustering , 2005, International Conference on Computational Science.

[2]  Yukio Masumoto,et al.  Impact of Indian Ocean Dipole on intraseasonal zonal currents at 90°E on the equator as revealed by self‐organizing map , 2008 .

[3]  K. Ichikawa Variation of the Kuroshio in the Tokara Strait Induced by Meso-Scale Eddies , 2001 .

[4]  H. Ichikawa,et al.  Kuroshio meanders in the East China Sea , 1999 .

[5]  Robert H. Weisberg,et al.  Patterns of upper layer circulation variability in the South China Sea from satellite altimetry usin , 2008 .

[6]  Y. Masumoto A fifty-year eddy-resolving simulation of the world ocean : Preliminary outcomes of OFES (OGCM for the Earth Simulator) , 2004 .

[7]  Matthieu Lengaigne,et al.  Twentieth century ENSO characteristics in the IPCC database , 2008 .

[8]  B. Qiu,et al.  On Kuroshio front fluctuations in the East China Sea using satellite and in situ observational data , 1990 .

[9]  Biweekly periodic variation of the Kuroshio axis northeast of Taiwan as revealed by ocean high-frequency radar , 2009 .

[10]  Richard B. Alley,et al.  Relative Performance of Self-Organizing Maps and Principal Component Analysis in Pattern Extraction from Synthetic Climatological Data , 2005 .

[11]  Gilles Reverdin,et al.  Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2 , 2000 .

[12]  Sylvie Thiria,et al.  Detecting decadal changes in ENSO using neural networks , 2006 .

[13]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[14]  Bruno Tremblay,et al.  The Continuum of Northern Hemisphere Teleconnection Patterns and a Description of the NAO Shift with the Use of Self-Organizing Maps , 2008 .

[15]  H. Ichikawa,et al.  Study of the Kuroshio/Ryukyu Current system based on satellite-altimeter and in situ measurements , 2008 .

[16]  Jilan Su,et al.  The Kuroshio East of Taiwan and in the East China Sea and the currents East of Ryukyu Islands during early summer of 1996 , 1998 .

[17]  Anthony J. Richardson,et al.  Using self-organizing maps to identify patterns in satellite imagery , 2003 .

[18]  T. Kohonen Self-Organized Formation of Correct Feature Maps , 1982 .

[19]  Dudley B. Chelton,et al.  Variability in satellite winds over the Benguela upwelling system during 1999–2000 , 2004 .

[20]  Christopher N. K. Mooers,et al.  Performance evaluation of the self‐organizing map for feature extraction , 2006 .

[21]  H. Ichikawa,et al.  The Northeastward current southeast of Okinawa Island observed during November 2000 to August 2001 , 2003 .

[22]  T. Kohonen Self-organized formation of topographically correct feature maps , 1982 .

[23]  Robert H. Weisberg,et al.  Patterns of ocean current variability on the West Florida Shelf using the self-organizing map , 2005 .

[24]  Caiyun Zhang,et al.  Evolution of a coastal upwelling event during summer 2004 in the southern Taiwan Strait , 2011 .

[25]  P. L. Traon,et al.  AN IMPROVED MAPPING METHOD OF MULTISATELLITE ALTIMETER DATA , 1998 .

[26]  H. Nitani,et al.  Beginning of the Kuroshio , 1972 .

[27]  H. Ichikawa,et al.  Volume Transport Variability Southeast of Okinawa Island Estimated from Satellite Altimeter Data , 2004 .

[28]  Bo Qiu,et al.  Kuroshio And Oyashio Currents , 2001 .

[29]  Teuvo Kohonen,et al.  Self-Organizing Maps, Third Edition , 2001, Springer Series in Information Sciences.

[30]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.