Abstract
A total of 649 GPS/Leveling points and 799897 2′ × 2′ gridded mean gravity anomalies in mainland China are used for the evaluation of the recently released Earth Gravitational Models (EGMs) including the GOCE only models (GO_CONS_GCF_2_TIM_R3 (GO_TIM_R3), GRACE only models ITG-Grace2010s, combined satellite gravity field models (GO_CONS_GCF_2_DIR_R3 (GO_DIR_R3), GOCO03S, DGM-1S, EIGEN-5S, EIGEN-6S), and combined gravity field models (EIGEN-51C, EIGEN-6C, GIF48, EGM2008) from satellite observations and ground gravity data sets. The statistical results show that in mainland China the most precise model is EIGEN-6C with the standard deviation (STD) ±0.183 m of the quasi-geoid height differences compared with the GPS/Leveling data and the STD ±22.5 mGal of the gravity anomaly differences compared with the gridded mean gravity anomalies from observations. For EGM2008, they are ±0.240 m and ±24.0 mGal respectively. Among the satellite only gravity models from GRACE, GOCE and LAGEOS observations, GO_TIM_R3 is the best one in mainland China, and the STDs of the corresponding quasi-geoid differences and the gravity anomaly differences are ±0.459 m and ±31.3 mGal respectively, which are nearly at the same levels as the ones for the models EIGEN-6S, GOCO03S and GO_DIR_R3. This shows that the GOCE mission can recover more medium-short wavelength gravity signals in mainland China than former satellite gravity missions.
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Acknowledgements
This study is funded by Natural Science Foundation China (grant No. 41210006), the National 973 Program China (grant No. 2013CB733301), and the Funds for Creative Research Groups of NSFC (grant No. 41021061).
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Li, J., Jiang, W., Zou, X., Xu, X., Shen, W. (2014). Evaluation of Recent GRACE and GOCE Satellite Gravity Models and Combined Models Using GPS/Leveling and Gravity Data in China. In: Marti, U. (eds) Gravity, Geoid and Height Systems. International Association of Geodesy Symposia, vol 141. Springer, Cham. https://doi.org/10.1007/978-3-319-10837-7_9
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DOI: https://doi.org/10.1007/978-3-319-10837-7_9
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