The impact analysis of corrections to GOCE satellite gravity gradient observations by accounting for temporal gravity field variations

doi:10.11947/j.AGCS.2021.20200231

Abstract

Abstract: As an important data source for high-degree static gravity field recovery, the gravity gradient observations from GOCE satellite should be processed prior to gravity field estimation by removing the temporal gravity field variations. In this study, the data processing method to account for the temporal gravity field variations in GOCE gradiometric data is discussed, to better remove the influence of temporal gravity field variations, the standard and background models from ESA are updated. Consequently, high-degree static gravity field models can be directly determined from the self-processed GOCE Level 1b data. To discuss the impacts of temporal gravity field variations on high-degree static gravity field modelling, we design three different data processing schemes to remove the temporal gravity field variations. Our results show that the temporal gravity field variations have an effect on deriving high-degree gravity field models, with a maximum geoid height difference of above 1 cm over some particular regions. Therefore, during deriving high-degree static gravity field solution from GOCE data, we suggest that updating standard and background models are better to mitigate the effect of temporal gravity field variations.

Key words: GOCE satellite, gravity gradient, corrections of temporal gravity field variations, gravity field recovery

CLC Number:

P223

CHEN Jianhua, ZHANG Xingfu, SHEN Yunzhong, CHEN Qiujie, LI Weichao. The impact analysis of corrections to GOCE satellite gravity gradient observations by accounting for temporal gravity field variations[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(3): 324-332.

References

[1] DRINKWATER M R, FLOBERGHAGEN R, HAAGMANS R, et al. GOCE:ESA's first earth explorer core mission[J]. Space Science Reviews, 2003, 108(1):419-432.
[2] ESA. GOCE HPF:GOCE level 2 product data handbook[R]. Technical Note, GO-MA-HPF-GS-0110.[S.l.]:ESA, 2014.
[3] 于锦海, 万晓云. 利用引力梯度不变量解算的GOCE引力场模型[J]. 中国科学(地球科学), 2012, 42(9):1450-1458. YU Jinhai, WAN Xiaoyun. Recovery of the gravity field from GOCE data by using the invariants of gradient tensor[J]. Science China Earth Sciences, 2012, 42(9):1450-1458.
[4] XU Xinyu, ZHAO Yongqi, REUBELT T, et al. A GOCE only gravity model GOSG01S and the validation of GOCE related satellite gravity models[J]. Geodesy and Geodynamics, 2017, 8(4):260-272.
[5] MARCHENKO A N, MARCHENKO D A, LOPUSHANSKY A N. Gravity field models derived from the second degree radial derivatives of the GOCE mission:a case study[J]. Annals of Geophysics, 2017, 59(6):s0649-s0659.
[6] GRUBER T, ABRIKOSOV O, HUGENTOBLER U. Doc No:GO-TN-HPF-GS-0111 GOCE standards[S]. 2014.
[7] BOUMAN J, RISPENS S, GRUBER T, et al. Preprocessing of gravity gradients at the GOCE high-level processing facility[J]. Journal of Geodesy, 2009, 83(7):659-678.
[8] BOUMAN J, FIOROT S, FUCHS M, et al. GOCE gravitational gradients along the orbit[J]. Journal of Geodesy, 2011, 85(11):791-805.
[9] HAN S C, SHUM C K, DITMAR P, et al. Aliasing effect of high-frequency mass variations on GOCE recovery of the earth's gravity field[J]. Journal of Geodynamics, 2006, 41(1-3):69-76.
[10] JARECKI F, MÜLLER J, PETROVIC S, et al. Temporal gravity variations in GOCE gradiometric data[C]//Proceedings of 2005 IAG International Symposium Porto. Berlin, Heidelberg:Springer, 2005, 129:333-338.
[11] 邓文彬, 许闯, 阿力甫·努尔买买提. 卫星重力梯度观测数据的时变信号影响分析[J]. 武汉大学学报(信息科学版), 2016, 41(1):72-78. DENG Wenbin, XU Chuang, NURMMAMAT A. Effect of time-varying gravity signal on satellite gravity gradient observations[J]. Geomatics and Information Science of Wuhan University, 2016, 41(1):72-78.
[12] 吴云龙. GOCE卫星重力梯度测量数据的预处理研究[D]. 武汉:武汉大学, 2010. WU Yunlong. Study on the pre-processing of GOCE satellite gravity gradiometry data[D]. Wuhan:Wuhan University, 2010.
[13] 周睿. GOCE卫星SGG数据处理及空域法恢复地球重力场模型研究[D]. 郑州:信息工程大学, 2013. ZHOU Rui. Research on GOCE SGG data processing and the space-wise approach to recover gravity field model[D]. Zhengzhou:Information Engineering University, 2013.
[14] YI Weiyong. The earth's gravity field from GOCE[D]. Germany:Technische Universität Mänchen, 2012.
[15] QU Qingliang, CHANG Xiaotao, YU Shengwen, et al. Calibration for GOCE gradiometer data based on the prior gravity models[J]. Journal of Geodesy and Geoinformation Science, 2019, 2(4):21-30.
[16] WU Hu. Gravity field recovery from GOCE observations[D]. Germany:Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover, 2016.
[17] SÜNKEL H. From Eötvös to Mgal, final report[R]. Noordwijk:European Space Agency, 2000.
[18] PETIT G, LUZUM B. IERS Conventions. IERS 2010[R]. Frankfurt:Verlag des Bundesamts für Kartographie und Geodäsie, 2010.
[19] MCCARTHY D D, PETIT G. IERS conventions (2003)[M]. Frankfurt:IERS Central Bureau, 2004.
[20] CARRERE L, LYARD F, CANCET M, et al. FES 2014, A new tidal model on the global ocean with enhanced accuracy in shallow seas and in the Arctic region[C]//EGU general Assembly Conference Abstracts. Vienna, Austria:EGU, 2015.
[21] DOBSLAW H, BERGMANN-WOLF I, DILL R, et al. A new high-resolution model of non-tidal atmosphere and ocean mass variability for de-aliasing of satellite gravity observations:AOD1B RL06[J]. Geophysical Journal International, 2017, 211(1):263-269.
[22] CHEN Qiujie, SHEN Yunzhong, CHEN Wu, et al. An optimized short-arc approach:methodology and application to develop refined time series of Tongji-Grace2018 GRACE monthly solutions[J]. Journal of Geophysical Research:Solid Earth, 2019, 124(6):6010-6038.
[23] SIEMES C, REXER M, SCHLICHT A, et al. GOCE gradiometer data calibration[J]. Journal of Geodesy, 2019, 93(9):1603-1630.
[24] CHEN Qiujie, SHEN Yunzhong, FRANCIS O, et al. Tongji-Grace02s and Tongji-Grace02k:high-precision static GRACE-only global earth's gravity field models derived by refined data processing strategies[J]. Journal of Geophysical Research:Solid Earth, 2018, 123(7):6111-6137.
[25] 万晓云, 于锦海. 极地空白对GOCE引力场恢复的影响[J]. 测绘学报, 2013, 42(3):317-322. WAN Xiaoyun, YU Jinhai. Influence of polar gaps on gravity field recovery using GOCE data[J]. Acta Geodaetica et Cartographica Sinica, 2013, 42(3):317-322.