Oceanic Pycnocline Depth Estimation from SAR Imagery

  • Yang, Jingsong (Lab of Ocean Dynamic Processes and Satellite Oceanography, Second Institute of Oceanography, State Lab of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources) ;
  • HUANG, Weigen (Lab of Ocean Dynamic Processes and Satellite Oceanography, Second Institute of Oceanography) ;
  • XIAO, Qingmei (Lab of Ocean Dynamic Processes and Satellite Oceanography, Second Institute of Oceanography) ;
  • ZHOU, Chenghu (State Lab of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources) ;
  • ZHOU, Changbao (Lab of Ocean Dynamic Processes and Satellite Oceanography, Second Institute of Oceanography) ;
  • HSU, Mingkuang (Department of Oceanography, National Taiwan Ocean University)
  • Published : 2003.11.03

Abstract

Oceanic pycnocline depth is usually obtained from in situ measurements. As ocean internal waves occur on and propagate along oceanic pycnocline, it is possible to estimate the depth remotely. This paper presents a method for retrieving pycnocline depth from synthetic aperture radar (SAR) imagery where internal waves are visible. This model is constructed by combining a two-layer ocean model and a nonlinear internal wave model. It is also assumed that the observed groups of internal wave packets on SAR imagery are generated by local semidiurnal tides. Case study in East China Sea shows a good agreement with in situ CTD data.

Keywords