Mean dynamic topography estimates purely based on GOCE gravity field models and altimetry
Mean dynamic topography estimates purely based on GOCE gravity field models and altimetry
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DOI：
10.1002/2014gl059510
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发表时间：
2014-03
影响因子：
5.2
通讯作者：
S. Becker;J. Brockmann;W. Schuh
中科院分区：
文献类型：
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作者：
S. Becker;J. Brockmann;W. Schuh
由高程平均海面和重力场模型导出的平均动力地形模型的质量主要取决于特定重力场模型的空间分辨率和精度。我们使用一种集成的方法，该方法允许在预定义的网格上估计MDT及其（逆）协方差矩阵，这是海洋数据同化的要求之一。MDT的质量和精度直接反映了所用重力场模型的质量和精度。首次提供了基于重力场和稳态海洋环流探测器（GOCE）数据的MDT估计及其完整误差协方差矩阵。我们展示了基于Jason‐1和Envisat的高度计观测结果，并结合北大西洋不同的GOCE重力场模型，展示了GOCE处理所取得的进展，以及GOCE重力场模型对MDT估计的宝贵贡献。
The quality of mean dynamic topography (MDT) models derived from an altimetric mean sea surface and a gravity field model mainly depends on the spatial resolution and accuracy of the particular gravity field model. We use an integrated approach which allows for estimating the MDT and its (inverse) covariance matrix on a predefined grid which is one of the requirements for ocean data assimilation. The quality and accuracy of the MDT directly reflects the quality and accuracy of the used gravity field model. For the first time, MDT estimates along with its full error covariance matrix based on Gravity Field and Steady‐State Ocean Circulation Explorer (GOCE) data can be provided. We demonstrate the progress accomplished with GOCE processing and the valuable contribution of the GOCE gravity field models regarding the estimation of the MDT by showing results based on altimetric observations of Jason‐1 and Envisat in combination with different GOCE gravity field models for the North Atlantic.