GOCE卫星数据确定的全球稳态海面地形和海表地转流

发布时间：2018-07-02 09:04

本文选题：GOCE卫星 + 地球重力场模型　；参考：《地球物理学进展》2017年04期

【摘要】：利用GOCE卫星235天的观测数据恢复了200阶次的重力场模型SWJTU-GO01S,结合欧空局提供的最新GOCE重力场模型和CNES-CLS 2011平均海面高模型,计算了全球稳态海面地形和海表地转流,并采用GRACE模型、多源数据同化模型和海洋浮标观测数据对GOCE模型的计算结果进行对比分析.结果表明:由于重力场模型精度和分辨率较高,GOCE计算结果所需的滤波半径小于GRACE结果;GOCE和GRACE模型的计算结果与CNES-CLS09稳态海面地形差异的RMS分别为6 cm和7 cm左右;与海洋浮标实测数据对比发现,GOCE和GRACE的计算结果与实测数据差异明显,但GOCE的计算结果优于GRACE结果,而SWJTU-GO01S与DIR-R4和TIM-R4模型在全球范围内具有较好的一致性.整体而言,GOCE比GRACE数据的计算结果可以反映更小尺度地转流,且计算的精度更高;海洋环流结果和水准数据的对比表明SWJTU-GO01S与DIR-R4和TIM-R4模型的精度符合性较好,三者计算的地转流精度基本相当.
[Abstract]:The gravity field model SWJTU-GO01S of order 200 has been restored by using the observation data from the GOCE satellite for 235 days. Combined with the latest GOCE gravity field model provided by ESA and the average sea surface height model CNES-CLS 2011, the global steady sea surface topography and surface geostrophic currents have been calculated, and the Grace model has been used. The multisource data assimilation model and ocean buoy observation data are compared and analyzed to the calculation results of GOCE model. The results show that because the precision and resolution of gravity field model are higher than that of Grace model, the RMS of the difference between the calculated results and CNES-CLS09 steady-state sea surface topography is about 6 cm and 7 cm, respectively. Comparing with the measured data of ocean buoy, it is found that the calculated results of GOCE and Grace are obviously different from the measured data, but the results of GOCE are superior to those of Grace, while SWJTU-GO01S is in good agreement with DIR-R4 and TIM-R4 models in the global scope. On the whole, the calculated results of GOCE are more accurate than those of Grace data, and the comparison of ocean circulation results with leveling data shows that SWJTU-GO01S has better accuracy than DIR-R4 and TIM-R4 models. The accuracy of geostrophic flow calculated by the three methods is basically the same.
【作者单位】：西南石油大学土木工程与建筑学院;
【基金】：国家自然科学基金(41574018,41404018) 大地测量与地球动力学国家重点实验室开放基金(SKLGED2017-2-1-E)联合资助
【分类号】：P223

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