Advances in Atmospheric Sciences

, Volume 18, Issue 5, pp 767–786 | Cite as

Assimilation of Satellite Altimetry into a Western North Pacific Operational Model

  • Masafumi Kamachi
  • Tsurane Kuragano
  • Noriya Yoshioka
  • Jiang Zhu
  • Francesco Uboldi


An ocean data assimilation system, COMPASS-K (the Comprehensive Ocean Modeling, Prediction, Analysis and Synthesis System in the Kuroshio-region), has been developed at the Meteorological Research Institute (MRI). The purposes of the development are understanding ocean variability in the Kuroshio region as a local response to a global climate change with assimilated four-dimensional data sets, development of an operational system in the Japan Meteorological Agency, and for the GODAE (Global Ocean Data Assimilation Experiment) project.

The model is an eddy permitting version of an MRI-OGCM. Space-time decorrelation scales of ocean variability are estimated with TOPEX I POSEIDON (TIP) altimeter data. Subsurface temperature and salinity fields are projected from the TIP altimeter data with a statistical correlation method and are assimilated into the model with a time-retrospective nudging scheme.

Seasonal variation in the western North Pacific is investigated. Realistic space-time distribution of the physical quantities, the path of Kuroshio and its separation from Honshu are captured well. The Kuroshio volume transport is well reproduced in a reanalysis experiment of 1993. Preliminary predictability experiments are done in February and March, 1994. Predictability diagram shows the time scale of the predictability for temperature field is about 17 days in the Kuroshio south of Japan. This time scale is smaller than that in the North Atlantic.

Key words

Assimilation Kuroshio Predictability 


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Copyright information

© Advances in Atmospheric Sciences 2001

Authors and Affiliations

  • Masafumi Kamachi
    • 1
  • Tsurane Kuragano
    • 1
  • Noriya Yoshioka
    • 2
  • Jiang Zhu
    • 3
  • Francesco Uboldi
    • 4
  1. 1.Meteorological Research InstituteTsukubaJapan
  2. 2.Japan Meteorological AgencyTokyoJapan
  3. 3.Institute of Atmospheric PhysicsChinese Academy of ScienceBeijingChina
  4. 4.Magritte SNCMilanoItaly

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