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A hybrid approach for recovering high-resolution temporal gravity fields from satellite laser ranging

机译:一种从卫星激光测距中恢复高分辨率时间重力场的混合方法

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A new approach to recover time-variable gravity fields from satellite laser ranging (SLR) is presented. It takes up the concept of lumped coefficients by representing the temporal changes of the Earth's gravity field by spatial patterns via combinations of spherical harmonics. These patterns are derived from the GRACE mission by decomposing the series of monthly gravity field solutions into empirical orthogonal functions (EOFs). The basic idea of the approach is then to use the leading EOFs as base functions in the gravity field modelling and to adjust the respective scaling factors straightforward within the dynamic orbit computation; only for the lowest degrees, the spherical harmonic coefficients are estimated separately. As a result, the estimated gravity fields have formally the same spatial resolution as GRACE. It is shown that, within the GRACE time frame, both the secular and the seasonal signals in the GRACE time series are reproduced with high accuracy. In the period prior to GRACE, the SLR solutions are in good agreement with other techniques and models and confirm, for instance, that the Greenland ice sheet was stable until the late 1990s. Further validation is done with the first monthly fields from GRACE Follow-On, showing a similar agreement as with GRACE itself. Significant differences to the reference data only emerge occasionally when zooming into smaller river basins with strong interannual mass variations. In such cases, the approach reaches its limits which are set by the low spectral sensitivity of the SLR satellites and the strong constraints exerted by the EOFs. The benefit achieved by the enhanced spatial resolution has to be seen, therefore, primarily in the proper capturing of the mass signal in medium or large areas rather than in the opportunity to focus on isolated spatial details.
机译:提出了一种从卫星激光测距(SLR)中恢复时间变量重力场的新方法。通过通过球面谐波的组合代表空间模式来代表地球重力场的时间变化来占据总体系数的概念。这些模式通过将一系列每月重力场解决方案分解为经验正交功能(EOF)来源于宽限性任务。然后,该方法的基本思想是在重力场建模中使用前导EOF作为基础功能,并在动态轨道计算内调整相应的缩放因子;仅针对最低程度,球形谐波系数分别估计。结果,估计的重力场具有与恩典相同的空间分辨率。结果表明,在宽限时框内,宽度时间序列中的世俗和季节性信号都以高精度再现。在恩典前的时期,单反解决方案与其他技术和模型吻合良好,并确认,例如,格陵兰冰盖稳定直至20世纪90年代末。进一步的验证是使用宽限性后续的第一个每月字段完成的,显示与恩典本身类似的协议。在具有强大的持续群体变化的较小河流盆地上放大时,偶尔会出现与参考数据的显着差异。在这种情况下,该方法通过SLR卫星的低光谱灵敏度和EOF施加的强制约束来达到其限制。因此,必须看到增强的空间分辨率所实现的损益,主要是在培养基或大面积中的质量信号的适当捕获,而不是专注于隔离空间细节的机会。

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