Abstract Mean dynamic ocean topography (or MDT) is closely related to ocean circulation and global climate change. It has important scientific significance and application value for the development and utilization of marine resources in China's coastal areas. Based on the terrain gravity, marine gravity, and SRTM 3 s data, an algorithm to reduce the problem of gravity data gaps between land and sea is proposed. A consistent land-sea gravity model is established based on point-mass fusion method. Then geoid model, which accuracy was estimated to be 8.5 cm through the verification of 348 GNSS/level data from the coastal provinces, of China's coastal areas was calculated through remove-restore technique. Connecting the above geoid model with DTU15 MSS model to establish a MDT model in China's coastal areas using the direct method in space domain. The effect of gravity field model, dominant factors of sea surface topography, and low pass filter are analyzed. Taking Bohai Sea and Yellow Sea as an example, and comparing MDT with the two international models CNES_2013_MDT and DTU15_MDT. The results show that the MDT has the potential to construct a vertical datum of the ocean and carry out related scientific research and application.


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    Titel :

    Determination of the mean dynamic ocean topography model through combining multi-source gravity data and DTU15 MSS around China's coast


    Beteiligte:
    Ke, Baogui (Autor:in) / Zhang, Liming (Autor:in) / Xu, Jun (Autor:in) / Zhang, Chuanyin (Autor:in) / Dang, Yamin (Autor:in)

    Erschienen in:

    Advances in Space Research ; 63 , 1 ; 203-212


    Erscheinungsdatum :

    2018-10-28


    Format / Umfang :

    10 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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