Impact of Indian Ocean Dipole on intraseasonal zonal currents at 90°E on the equator as revealed by self‐organizing map

A neural network pattern recognition approach called self-organizing map (SOM) has been used to examine the impact of the Indian Ocean Dipole (IOD) on intraseasonal zonal currents in the eastern equatorial Indian Ocean. This study shows that during negative IOD events the intraseasonal zonal currents are mostly dominated by the first two modes. On the other hand, contributions from the higher modes to the intraseasonal zonal current significantly increase during positive IOD events. This is attributed to the change in the background stratification associated with the IOD events; the sharp pycnocline in the eastern basin during the positive IOD events causes the wind forcing to project more onto the higher modes.

[1]  N. Saji,et al.  Response of the equatorial Indian Ocean to an unusual wind event during 1994 , 1999 .

[2]  C. Torrence,et al.  A Practical Guide to Wavelet Analysis. , 1998 .

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

[4]  Jorma Laaksonen,et al.  SOM_PAK: The Self-Organizing Map Program Package , 1996 .

[5]  P. Webster,et al.  Dynamical response of equatorial Indian Ocean to intraseasonal winds: Zonal Flow , 2001 .

[6]  M. Cane,et al.  A Note on Low-Frequency Equatorial Basin Modes , 1981 .

[7]  W. Han,et al.  Impact of Atmospheric Intraseasonal Oscillations on the Indian Ocean Dipole during the 1990s , 2006 .

[8]  Ruoying He,et al.  Sea Surface Temperature Patterns on the West Florida Shelf Using Growing Hierarchical Self-Organizing Maps , 2006 .

[9]  A. Mariano,et al.  Dynamics of the Eastern Surface Jets in the Equatorial Indian Ocean , 1999 .

[10]  Peter J. Webster,et al.  Coupled ocean–atmosphere dynamics in the Indian Ocean during 1997–98 , 1999, Nature.

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

[12]  J. O'Brien,et al.  Equatorial Jet in the Indian Ocean: Theory , 1974, Science.

[13]  W. Han Origins and Dynamics of the 90-Day and 30–60-Day Variations in the Equatorial Indian Ocean , 2005 .

[14]  A. E. Gill Atmosphere-Ocean Dynamics , 1982 .

[15]  Antonio J. Busalacchi,et al.  Oceanic processes associated with anomalous events in the Indian Ocean with relevance to 1997–1998 , 2000 .

[16]  B. Goswami,et al.  A dipole mode in the tropical Indian Ocean , 1999, Nature.

[17]  Teuvo Kohonen,et al.  The self-organizing map , 1990, Neurocomputing.

[18]  Toshio Yamagata,et al.  Abrupt termination of Indian Ocean dipole events in response to intraseasonal disturbances , 2004 .

[19]  Y. Masumoto,et al.  Intraseasonal variability in the upper layer currents observed in the eastern equatorial Indian Ocean , 2005 .

[20]  L. Fu Intraseasonal Variability of the Equatorial Indian Ocean Observed from Sea Surface Height, Wind, and Temperature Data , 2007 .

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

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

[23]  Yukio Masumoto,et al.  Intraseasonal variations of surface and subsurface currents off Java as simulated in a high‐resolution ocean general circulation model , 2006 .