Variability of island-induced ocean vortex trains, in the Kuroshio region southeast of Taiwan Island

Zhe Wen Zheng*, Quanan Zheng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

This study examines the horizontal scale and spatial characteristics of island-induced ocean vortex trains (IOVTs) in the Kuroshio region southeast of Taiwan Island using European remote sensing satellite ERS-1 SAR imagery. US Aqua satellite Moderate Resolution Imaging Spectroradiometer (MODIS) data are used to analyze the sea surface temperature (SST) features of the study area. Seasonal composites of SST images show that the IOVTs are current-induced vortexes rather than wind-induced ones. Furthermore, using the HYbrid Coordinate Ocean Model/Navy Coupled Ocean Data Assimilation (HYCOM/NCODA) system that generated current and sea surface height anomaly data, the temporal and spatial variability of the Green Island IOVTs is analyzed. The variability of IOVTs within this region shows a distinct seasonality. This seasonal variability of IOVTs is closely associated with the shoreward shift of Kuroshio mainstream driven by the winter northeasterly monsoon. This scenario is verified by vector empirical orthogonal function analysis focused on the weak IOVT period in 2012. In addition to meandering of the Kuroshio, westward-propagating mesoscale eddies and the arrival of typhoons play an important role in modifying the variability of IOVTs at intraseasonal timescale.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalContinental Shelf Research
Volume81
DOIs
Publication statusPublished - 2014 Jun 15

Keywords

  • Island-induced ocean vortex trains
  • Kuroshio
  • SST
  • Sea surface height anomaly
  • Synthetic aperture radar

ASJC Scopus subject areas

  • Oceanography
  • Aquatic Science
  • Geology

Fingerprint

Dive into the research topics of 'Variability of island-induced ocean vortex trains, in the Kuroshio region southeast of Taiwan Island'. Together they form a unique fingerprint.

Cite this