The interannual sea level variability in the Indian Ocean as simulated by an Ocean General Circulation Model

• Published in: International journal of climatology Vol. 38; no. 3; pp. 1132 - 1144
• Main Authors: Deepa, J. S., Gnanaseelan, C., Kakatkar, R., Parekh, A., Chowdary, J. S.
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.03.2018; Wiley Subscription Services, Inc
• Subjects: Altimeters; Altimetry; Annual variations; Anomalies; Computer simulation; Curl (vectors); Downwelling; El Nino; El Nino events; El Nino phenomena; El Nino-Southern Oscillation event; El Niño; General circulation models; Indian Ocean Dipole; Indonesian Throughflow; Interannual variability; Oceans; OGCM; Sea level; Sea level anomalies; Sea level changes; Sea level variability; Sea level variations; Southern Oscillation; Tide gauges; Tides; Variability; Wind; Wind stress; Wind stress curl; Zonal winds; Indian Ocean
• ISSN: 0899-8418; 1097-0088
• DOI: 10.1002/joc.5228

The study finds that co‐occurrence years (years when IOD and El Niño events co‐occur) contribute significantly towards the interannual variability in the Indian Ocean. Carefully designed Ocean General Circulation Model (OGCM) captured the observed variability. The OGCM experiments are carried out by modulating the forcing fields over the Pacific and the Indian Ocean to understand the physical mechanisms causing sea level variability in the Indian Ocean. Decadal variability in the ENSO is primarily contributing to the decadal variability in the Indian Ocean sea level. ABSTRACT Limited coverage of tide gauge observations and limited length record of altimeter observations remain inadequate for the Indian Ocean sea level variability studies especially for longer periods. This study takes advantage of Ocean General Circulation Model (OGCM) simulations and ocean reanalysis to explore the interannual variability of sea level in the Indian Ocean. The model simulated sea level anomalies display good correlation with altimetry and reanalysis products. This consistency in model simulations with observations and reanalysis highlights the potential use of this OGCM in understanding the sea level variability. Analysis reveals that co‐occurrence years (years when Indian Ocean Dipole (IOD) and El Niño events co‐occur) contribute significantly towards the interannual variability in the Indian Ocean compared to pure IOD or El Niño events, and are characterized by persistent generation of open ocean downwelling, with maximum signals in the 10° to 5°S region. The OGCM experiments are carried out by modulating the forcing fields over the Pacific and the Indian Ocean to understand the physical mechanisms causing sea level variability. The experiments suggest that the remote forcing from the Pacific Ocean via Indonesian ThroughFlow (ITF) induce significant sea level changes in the southern Indian Ocean only with variability mostly in the decadal time scales and the northern and equatorial Indian Ocean are not affected by ITF. This study also shows that El Niño and IOD‐induced variations in zonal wind stress and wind stress curl mainly contribute the interannual sea level variations in the Indian Ocean. The forcing associated with the co‐occurrence years are multi‐phased with coastal and open ocean forcing. Whereas the pure IOD and El Nino forcing is mainly found only over the open ocean. The decadal variability in the ENSO is primarily responsible for the decadal sea level variability in the Indian Ocean by modulating ITF transport.