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Using real polar ground gravimetry data to solve the GOCE polar gap problem in satellite-only gravity field recovery

机译：使用真实的极地重力数据解决纯卫星重力场恢复中的GOCE极隙问题

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摘要

With the successful completion of European Space Agency (ESA)'s PolarGAP campaign, ground gravity data are now available for both polar regions. Therefore, it is now possible to solve the GOCE polar gap problem in satellite-only gravity field recovery by using additional polar ground gravity data instead of some regularization methods. However, ground gravimetry data need to be filtered to remove the short-wavelength information beyond a certain harmonic degree to avoid spectral leakage when inferring satellite-only gravity field models. For the Arctic, the ArcGP data set was successfully applied when inferring the high-resolution gravity field model EGM2008 which could be used for this filtering there. For Antarctica, a combination of latest airborne gravimetry data from ESA's PolarGap campaign and some previous gravity data was recently published which was irregularly distributed in space and still had some small gaps within the GOCE south polar gap. Therefore, we proposed a point mass modeling method for this filtering which was similar to the way using EGM2008 for such filtering to the ground gravity data in the Arctic. Furthermore, a variance component estimation was applied to combine the normal equations from the different sources to build a global gravity field model called IGGT_R1C. Then, this model's accuracy was evaluated by comparison with other gravity field models in terms of difference degree amplitudes, gravity anomaly differences as well as external checking by obit adjustment and gravity data in the GOCE polar gap areas. This gravity field model performed well globally according to these checking results; especially, the RMS of the residuals between the filtered gravity data and that calculated from IGGT_R1C was the smallest (2.6 mGal in the Arctic and 5.4 mGal in Antarctica) compared with that of the relevant satellite-only gravity field models, e.g., GOCO05s. Therefore, the disturbing impact of the GOCE polar data gap problem could be solved by adding the polar ground gravity data.
机译：随着欧洲航天局（ESA）的PolarGAP活动的成功完成，两个极地的地面重力数据现已可用。因此，现在可以通过使用其他极地重力数据代替某些正则化方法来解决仅卫星重力场恢复中的GOCE极隙问题。但是，需要对地面重力数据进行过滤，以去除超过一定谐波度的短波信息，从而避免在推断仅卫星重力场模型时发生频谱泄漏。对于北极，推断高分辨率重力场模型EGM2008（可用于此处的滤波）时，成功应用了ArcGP数据集。对于南极洲，最近发布了来自ESA的PolarGap活动的最新机载重量数据和一些先前的重力数据的组合，这些数据在空间中呈不规则分布，但在GOCE南极缝隙内仍存在一些小缝隙。因此，我们提出了一种用于该滤波的点质量建模方法，该方法类似于使用EGM2008对北极中的地面重力数据进行滤波的方法。此外，应用了方差分量估计来组合来自不同来源的正态方程，以建立一个称为IGGT_R1C的全局重​​力场模型。然后，通过与其他重力场模型的差异度幅值，重力异常差异以及GOCE极隙区域中的倾角调整和重力数据进行的外部检查，对该模型的准确性进行了评估。根据这些检查结果，该重力场模型在整体上表现良好；特别是，与相关的仅卫星重力场模型（例如GOCO05）相比，滤波后的重力数据与根据IGGT_R1C计算得出的残差RMS最小（北极地区为2.6 mGal，南极洲为5.4 mGal）。因此，可以通过增加极地重力数据来解决GOCE极数据间隙问题的干扰影响。

著录项

  • 来源
    《Journal of Geodesy》 |2020年第3期|34.1-34.12|共12页
  • 作者

    Lu Biao; Foerste Christoph; Barthelmes Franz; Petrovic Svetozar; Flechtner Frank; Luo Zhicai; Zhong Bo; Zhou Hao; Wang Xiaolong; Wu Tangting;

  • 作者单位

    GFZ German Res Ctr Geosci D-14473 Potsdam Germany|Tech Univ Berlin Dept Geodesy & Geoinformat Sci D-10623 Berlin Germany|Univ Twente Dept Earth Syst Anal Fac Geoinformat Sci & Earth Observat ITC NL-7500 AE Enschede Netherlands;

    GFZ German Res Ctr Geosci D-14473 Potsdam Germany;

    GFZ German Res Ctr Geosci D-14473 Potsdam Germany|Tech Univ Berlin Dept Geodesy & Geoinformat Sci D-10623 Berlin Germany;

    Huazhong Univ Sci & Technol MOE Key Lab Fundamental Phys Quant Measurement Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol Hubei Key Lab Gravitat & Quantum Phys PGMF Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol Sch Phys Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol Inst Geophys Wuhan 430074 Peoples R China|Huazhong Univ Sci & Technol PGMF Wuhan 430074 Peoples R China;

    Wuhan Univ Sch Geodesy & Geomat Wuhan 430079 Peoples R China|Wuhan Univ Minist Educ Key Lab Geospace Environm & Geodesy Wuhan 430079 Peoples R China;

    Wuhan Univ Sch Geodesy & Geomat Wuhan 430079 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    GOCE; GRACE; Polar gravity anomalies; Global gravity field model; Gravity filtering;

    机译：GOCE;恩典;极地重力异常;整体重力场模型;重力过滤;

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