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Volume 18 Issue 5

Sep.  2001

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2001 >  18(5): 767-786

Assimilation of Satellite Altimetry into a Western North Pacific Operational Model

  • 1.

    Meteorological Research Institute, 1-1 Nagamine, Tsukuba 305-0052 Japan,Meteorological Research Institute, 1-1 Nagamine, Tsukuba 305-0052 Japan,Japan Meteorological Agency, 1-3-4 Otemachi, Tokyo 100-8122 Japan,Institute of Atmospheric Physics, Chinese Academy of Science, Beijing 100029,Magritte SNC, Milano, Italy

  • 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 re gion as a local response to a global climate change with assimilated four-dimensional data sets, develop ment 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/POSEIDON (T/P) altimeter data. Subsurface temperature and salinity fields are projected from the T / P altimeter data with a statistical correlation method and are assim ilated 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 experi ments 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 smal ler than that in the North Atlantic.
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    • Manuscript History

    Manuscript received: 10 September 2001
    Manuscript revised: 10 September 2001
    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

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    Assimilation of Satellite Altimetry into a Western North Pacific Operational Model

    • 1. Meteorological Research Institute, 1-1 Nagamine, Tsukuba 305-0052 Japan,Meteorological Research Institute, 1-1 Nagamine, Tsukuba 305-0052 Japan,Japan Meteorological Agency, 1-3-4 Otemachi, Tokyo 100-8122 Japan,Institute of Atmospheric Physics, Chinese Academy of Science, Beijing 100029,Magritte SNC, Milano, Italy
    • Manuscript received: 2001-09-10
    • Manuscript revised: 2001-09-10

    Abstract: 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 re gion as a local response to a global climate change with assimilated four-dimensional data sets, develop ment 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/POSEIDON (T/P) altimeter data. Subsurface temperature and salinity fields are projected from the T / P altimeter data with a statistical correlation method and are assim ilated 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 experi ments 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 smal ler than that in the North Atlantic.

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