Joint Reprocessing of Shipborne Gravity Anomalies Based on MultiSources:A Case Study of the Gulf of Mexico

Guo Jinyun; Zhang Hongfei; Li Zhen; Zhu Chengcheng; Liu Xin; Luo Hongxin

doi:10.13203/j.whugis20230088

Turn off MathJax

Article Contents

Abstract

References

Guo Jinyun, Zhang Hongfei, Li Zhen, Zhu Chengcheng, Liu Xin, Luo Hongxin. Joint Reprocessing of Shipborne Gravity Anomalies Based on MultiSources:A Case Study of the Gulf of Mexico[J]. Geomatics and Information Science of Wuhan University. DOI: 10.13203/j.whugis20230088

Citation:

PDF (2108 KB)

Joint Reprocessing of Shipborne Gravity Anomalies Based on MultiSources:A Case Study of the Gulf of Mexico

1. College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China;
2. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China

More Information

Received Date: June 03, 2023
Available Online: July 16, 2023

Graphical Abstract

Abstract

Abstract

Objectives: Shipborne gravity anomaly data plays a crucial role in the construction of marine gravity field models. Although the existing shipborne gravity anomaly data have undergone conventional gravity measurement corrections and dynamic environmental effect corrections at the time of acquisition, the data span a long time period, involve multiple measurement agencies, gravity instruments, and reference frames, and thus exhibit a multi-source characteristic. Furthermore, due to the limitations of measurement and data processing techniques at the time of acquisition, the quality of the data varies and contains significant errors, making direct application difficult. Methods: In this study, a joint reprocessing method for multi-source shipborne gravity anomaly data is proposed, which refines the ship tracks through outlier elimination, long-wavelength error correction, intersection point adjustment, and systematic error compensation. First, rough tracks and remaining rough points were eliminated by comparing them with the reference gravity field; second, a quadratic polynomial model derived from the normal gravity formula was used to correct the long-wavelength error of the survey lines; finally, the error estimation and systematic error compensation of the observed values were performed through intersection point condition adjustment and the construction of a mixed polynomial model. Results: Taking the Gulf of Mexico as an example, shipborne gravity anomaly data in this region were obtained from the National Centers for Environmental Information (NCEI). After a series of joint processing methods, the root mean square (RMS) of crossover differences is reduced from 12.1mGal to 3.7mGal, and the residual RMS of gravity anomaly model SIO V32.1 is reduced from 6.62mGal before refinement to 3.91mGal. The difference between the two sets of ship tracks and the model was analyzed in the frequency domain, and the power spectral density of the error was significantly reduced in all frequency domains. Conclusions: As this study combined shipborne gravity data from different periods for joint processing, the final processing results have a certain gap compared to the precision of modern high-precision shipborne gravity measurements. However, overall, the accuracy of shipborne data has been significantly improved, which greatly enhances the utilization rate of shipborne data. This method can be used to further optimize global shipborne gravity anomaly data, providing a reliable dataset for constructing high-precision ocean gravity field models.
- Shipborne gravimetry,
- Gravity anomaly,
- Gulf of Mexico,
- Data reprocessing,
- Long-wave error correction,
- Crossover adjustment,
- Power spectrum density

FullText(HTML)

References (40)

References

[1]	Hackney R I, Featherstone W E. Geodetic Versus Geophysical Perspectives of the ‘Gravity Anomaly’[J]. Geophysical Journal International. 2003, 154(1):35-43. DOI: 10.1046/j.1365-246X.2003.01941.X.
[2]	Guo J, Luo H, Zhu C, et al. Accuracy Comparison of Marine Gravity Derived From HY-2A/GM And Cryosat-2 Altimetry Data:A Case Study in The Gulf of Mexico[J]. Geophysical Journal International. 2022, 230(2):1267-1279. DOI: 10.1093/gji/ggac114.
[3]	Fairhead J D, Green C M, Odegard M E. Satellite-Derived Gravity Having an Impact on Marine Exploration[J]. The Leading Edge. 2001, 20(8):873-876. DOI: 10.1190/1.1487298.
[4]	Haxby w F, Karner G D, Labrecqu J L, et al. Digital Images of Combined Oceanic and Continental Data Sets And Their Use In Tectonic Studies[J]. Eos, Transactions American Geophysical Union. 1983, 64(52):995-1004. DOI: 10.1029/EO064i052p00995.
[5]	Lu B, Xu C, Li J, et al. Marine Gravimetry and Its Improvements to Seafloor Topography Estimation In The Southwestern Coastal Area Of The Baltic Sea[J]. Remote Sensing. 2022, 14(16):3921. DOI: 10.3390/rs14163921.
[6]	Gaina C, Roest W R, Müller R D, et al. The Opening of The Tasman Sea:A Gravity Anomaly Animation[J]. Earth Interactions. 1998, 2(4):1-23. DOI: 10.1175/1087-3562(1998)002<0001:TOOTTS>2.3.CO.
[7]	Sandwell D T, Smith W H F. Marine Gravity Anomaly from Geosat and ERS 1 Satellite Altimetry[J]. Journal of Geophysical Research:Solid Earth. 1997, 102(B5):10039-10054. DOI: 10.1029/96JB03223.
[8]	Xing Leling, Li Hui, Xuan Songbo, et al. Long-Term Gravity Changes in Chinese Mainland from GRACE and Terrestrial Gravity Measurements[J]. Chinese Journal Geophysics. 2012, 55(5):1557-1564. DOI:10.6038/j.issn.0001-5733.2012.05.013.(邢乐林, 李辉, 玄松柏, 等. GRACE和地面重力测量监测到的中国大陆长期重力变化[J]. 地球物理学报, 2012, 55(5):1557-1564. DOI:10.6038/j.issn.0001-5733.2012.05.013.)
[9]	Sun Zhongmiao, Zai Zhenhe, Li Yingchun. Status and Development of Airborne Gravimeter. Progress in Geophysics. 2013, 28(1):1-8. DOI:10.6038/pg20130101.(孙中苗, 翟振和, 李迎春. 航空重力仪发展现状和趋势[J]. 地球物理学进展, 2013, 28(1):1-8. DOI:10.6038/pg20130101.)
[10]	Lu B, Barthelmes F, Li M, et al. Shipborne Gravimetry in the Baltic Sea:Data Processing Strategies, Crucial Findings and Preliminary Geoid Determination Tests[J]. Journal of Geodesy, 2019, 93(7):1059-1071. DOI: 10.1007/s00190-018-01225-7
[11]	Ke Baogui, Zhang Chuanyin, Guo Chunxi, et al. System Error Correction for Shipborne Gravimetric Data from Different Regions of Offshore in China[J]. Geomatics and Information Science of Wuhan University, 2015, 40(3):417-421.(柯宝贵, 章传银, 郭春喜, 等. 船载重力测量数据不同测区系统偏差纠正方法研究[J]. 武汉大学学报(信息科学版), 2015, 40(3):417-421.)
[12]	Dehlinger P. Marine Gravity[M]. New York:Elservier Scientific Publishing Company, 1978.
[13]	Ning Jinsheng, Huang Motao, Ouyang Yongzhong, et al. Progress In Marine and Airborne Gravimetry Technology[J]. Hydrographic surveying and charting. 2014, 34(3):67-72. DOI:10.3969/j.issn.1671-3044.2014.03.018(宁津生, 黄谟涛, 欧阳永忠, 等. 海空重力测量技术进展[J]. 海洋测绘, 2014, 34(3):67-72. DOI:10.3969/j.issn.1671-3044.2014.03.018)
[14]	Torge W. Gravimetry[M]. Berlin:Walter de Gruyter, 1989.
[15]	Van Hees G L S. Gravity Survey of The North Sea[J]. Marine Geodesy. 1983, 6(2):167-182. DOI: 10.1080/15210608309379453.
[16]	Prince R A, Forsyth D W. A Simple Objective Method for Minimizing Crossover Errors in Marine Gravity Data[J]. Geophysics. 1984, 49(7):849-1121. DOI: 10.1190/1.1441722.
[17]	Hwang C, Hsiao Y S, Shih H C, et al. Geodetic and Geophysical Results from Twiwan Airborne Gravity Survey:Data Reduction and Accuracy Assessment[J]. Journal Geophysical Research. 2007, 112(B4):B04407. DOI: 10.1029/2005JB004220.
[18]	Hunegnaw A, Hipkin R G, Edwards J. A Method of Error Adjustment for Marine Gravity with Application to Mean Dynamic Topography in The Northern North Atlantic[J]. Journal of Geodesy. 2009, 83(2):161-174. DOI: 10.1007/s00190-008-0249-2.
[19]	于红娟, 郭金运, 刘扬, 等. CG-5相对重力仪野外实验精度分析[J]. 测绘科学, 2017, 42(3):155-160. DOI: 10.16251/j.cnki.1009-2307.2017.03.028. Yu Hongjuan, Guo Jinyun, Liu Yang, et al. Precision Analysis on CG-5 Relative Gravimeter through Field Experiments. Science of Surveying and Mapping, 2017, 42(3):155-160. DOI: 10.16251/j.cnki.1009-2307.2017.03.028.
[20]	Manoussakis G, Korakitis R, Milas P. Gravimetric Estimation of The Eötvös Matrix Components[J]. Contributions to Geophysics and Geodesy. 2017, 47(1):53-68. DOI: 10.1515/congeo-2017-0004
[21]	Lacoste L J B. Crosscorrelation Method for Evaluating and Correcting Shipboard Gravity Data[J]. Geophysics. 1973, 38(4):701-709. DOI: 10.1190/1.1440369.
[22]	Deng Kailiang, Huang Xianyuan, Liu Xiaowei, et al. Detection of Gross Errors in Ship-borne Gravity Data Based on Window-moving RMS Model[J]. Hydrographic Surveying and Charting. 2016, 36(3):7-9. DOI:10.3969/j.issn.1671-3044.2016.03.002.(邓凯亮, 黄贤源, 刘骁炜, 等. 基于窗口移动中误差模型探测船载重力数据粗差[J]. 海洋测绘, 2016, 36(3):7-9. DOI:10.3969/j.issn.1671-3044.2016.03.002.)
[23]	Huang M T, Zhai G J, Guan Z, et al. On The Compensation of Systematic Errors in Marine Gravity Measurements[J]. Marine Geodesy. 1999, 22(3):183-194. DOI: 10.1080/014904199273452.
[24]	Huang Motao, Zai Guojun, Ouyang Yongzhong, et al. Two-Step Processing for Compensating the Systematic Errors in Marine Gravity Measurements[J]. Geomatics and Information Science of Wuhan University. 2002, 27(3):251-255. DOI:10.13203/j.whugis2002.03.005.(黄谟涛, 翟国君, 欧阳永忠, 等. 海洋重力测量误差补偿两步处理法[J]. 武汉大学学报(信息科学版), 2002, 27(3):251-255. DOI:10.13203/j.whugis2002.03.005.)
[25]	Christeson G L, Van Avendonk H J A, Norton I O, et al. Deep Crustal Structure in the Eastern Gulf of Mexico[J]. Journal of Geophysical Research. Solid Earth, 2014, 119(9):6782-6801. DOI: 10.1002/2014JB011045.
[26]	Mulet S, Rio M H, Etienne H, et al. The New CNES-CLS18 Global Mean Dynamic Topography[J]. Ocean Science. 2021, 17(3):789-808. DOI: 10.5194/OS-17-789-2021.
[27]	Zingerle P, Pail R, Gruber T, et al. The Combined Global Gravity Field Model XGM2019e[J]. Journal of Geodesy. 2020, 94(7):66. DOI: 10.1007/s00190-020-01398-0.
[28]	Sandwell D T, Harper H, Tozer B, et al. Gravity Field Recovery from Geodetic Altimeter Missions[J]. Advances in Space Research. 2021, 68:1059-1072. DOI: 10.1016/j.asr.2019.09.011
[29]	HUANG Motao, DENG Kailiang, OUYANG Yongzhong, et al. Application of Satellite Altimeter-Derived Gravity Model in the Error Detection of Shipborne and Airborne Gravimetry[J]. Journal of Huazhong University of Science and Technology. (Natural Science Edition). 2022, 50(9):126-133. DOI:10.13245/j.hust.220918.(黄谟涛, 邓凯亮, 欧阳永忠, 等. 卫星测高重力模型在海空重力测量误差检测中的应用[J]. 华中科技大学学报(自然科学版), 2022, 50(9):126-133. DOI:10.13245/j.hust.220918.)
[30]	Wessel P, Watts A B. On the Accuracy of Marine Gravity Measurements[J]. Journal Of Geophysical Research, Solid Earth. 1988, 93(B1):393-413. DOI: 10.1111/j.1365-246X.1995.tb07013.x.
[31]	Miloš P. On the Normal Gravity Formulae[J]. Studia Geophysical et Geodaetica. 1990, 34(4):289-312. DOI: 10.1007/BF02316951.
[32]	Hwang C, Parsons B. Gravity Anomalies Derived from Seasat, Geosat, ERS-1 and TOPEX/POSEIDON Altimetry and Ship Gravity:A Case Study Over the Reykjanes Ridge[J]. Geophysical Journal International. 1995, 122(2):551-568. DOI: 10.1111/j.1365-246X.1995.tb07013.x.
[33]	Liu Yanchun, Li Mingsan, Huang Motao. The Rank-Defect Adjustment Model for Survey-Line Systematic Errors in Marine Survey Net[J]. Geomatics and Information Science of Wuhan University. 2001, 26(6):533-538. DOI:10.13203/j.whugis2001.06.013. (刘雁春, 李明叁, 黄谟涛. 海洋测线网系统误差调整的秩亏网平差模型[J]. 武汉大学学报(信息科学版), 2001, 26(6):533-538. DOI:10.13203/j.whugis2001.06.013.)
[34]	Wessel P. XOVER:A Cross-Over Error Detector for Track Data[J]. Computer & Geosciences. 1989, 15(3):333-346. DOI: 10.1016/0098-3004(89)90044-7.
[35]	Wessel P. Tools for Analyzing Intersecting Tracks:The X2sys Package[J]. Computer & Geosciences. 2010, 36(3):348-354. DOI: 10.1016/j.cageo.2009.05.009.
[36]	Wei Jiancheng. Research on Advance Data Processing Technology for Air-sea Gravimetry[D]. Xi'an:Chang'an University, 2019.(韦建成. 海空重力数据精细化处理技术研究[D]. 西安:长安大学, 2019.)
[37]	Huang Motao, Guan Zheng, Zhai Guojun, et al. The Self-Calibrating Adjustment of Marine Gravity Survey Network[J]. Acta Geodactica et Cartographica Sinica, 1999, 28(2):162-171. (黄谟涛, 管铮, 翟国君, 等. 海洋重力测量网自检校平差[J]. 测绘学报, 1999, 28(2):162-171.)
[38]	Pyrchla K, Pajak M, Pyrchla J, et al. Analysis of Free-Air Anomalies on the Seaway of the Gulf of GdaŃsk:A Case Study[J]. Earth and Space Science. 2020, 7(5):e2019EA000983, DOI: 10.1029/2019EA000983.
[39]	Pujol M I, Schaeffer P, Faugère Y, et al. Gauging the Improvement of Recent Mean Sea Surface Models:A New Approach for Identifying and Quantifying Their Errors[J]. Journal of Geophysical Research-Oceans. 2018, 123(8):5889-5911. DOI: 10.1029/2017JC013503.
[40]	Zhu C, Liu X, Guo J, et al. Sea Surface Heights and Marine Gravity Determined from SARAL/Altika Ka-Band Altimeter over South China Sea[J]. Pure and Applied Geophysics. 2021, 178:1513-1527. DOI: 10.1007/s00024-021-02709-y.

[1]	XU Xinqiang, ZHAO Jun. A Multi-Parameter Regularization Method in Downward Continuation for Airborne Gravity Data[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 956-963, 973. DOI: 10.13203/j.whugis20180335
[2]	BIAN Shaofeng, WU Zemin. Optimal Tikhonov Regularization Matrix and Its Application in GNSS Ambiguity Resolution[J]. Geomatics and Information Science of Wuhan University, 2019, 44(3): 334-339. DOI: 10.13203/j.whugis20160474
[3]	CUI Shengcheng, ZHU Wenyue, YANG Shizhi, LI Xuebin. Regularization-Based Retrieval Method for Surface Reflective Property Parameters[J]. Geomatics and Information Science of Wuhan University, 2018, 43(8): 1264-1270. DOI: 10.13203/j.whugis20160244
[4]	CHEN Xin, ZHAI Guojun, BAO Jingyang, OUYANG Yongzhong, LU Xiuping, DENG Kailiang. Least Squares Collocation-Tikhonov Regularization Method for the Downward Continuation of Airborne Gravity Data[J]. Geomatics and Information Science of Wuhan University, 2018, 43(4): 578-585. DOI: 10.13203/j.whugis20150728
[5]	ZENG Xiaoniu, LIU Daizhi, LI Xihai, SU Juan, CHEN Dingxin, QI Wei. An Improved Singular Value Modification Method for Ill-posed Problems[J]. Geomatics and Information Science of Wuhan University, 2015, 40(10): 1349-1353. DOI: 10.13203/j.whugis20130709
[6]	LIU Bin, GONG Jianya, JIANG Wanshou, ZHU Xiaoyong. Improvement of the Iteration by Correcting Characteristic Value Based on Ridge Estimation and Its Application in RPC Calculating[J]. Geomatics and Information Science of Wuhan University, 2012, 37(4): 399-402.
[7]	WANG Zhenjie, OU Jikun, LIU Lintao. A Method for Resolving Ill-conditioned Problems——Two-Step Solution[J]. Geomatics and Information Science of Wuhan University, 2005, 30(9): 821-824.
[8]	WANG Zhenjie, OU Jikun, QU Guoqing, HAN Baomin. Determining the Smoothing Parameter in Semi-parametric Model Using L-curve Method[J]. Geomatics and Information Science of Wuhan University, 2004, 29(7): 651-653.
[9]	WANG Zhenjie, OU Jikun. Determining the Ridge Parameter in a Ridge Estimation Using L-curve Method[J]. Geomatics and Information Science of Wuhan University, 2004, 29(3): 235-238.
[10]	XU Tianhe, YANG Yuanxi. Robust Tikhonov Regularization Method and Its Applications[J]. Geomatics and Information Science of Wuhan University, 2003, 28(6): 719-722.

Cited By

Get Citation

PDF

XML

Article views (410) PDF downloads (38)

Joint Reprocessing of Shipborne Gravity Anomalies Based on MultiSources:A Case Study of the Gulf of Mexico

Abstract

References

Related Articles

Catalog

Related

Joint Reprocessing of Shipborne Gravity Anomalies Based on MultiSources:A Case Study of the Gulf of Mexico

Abstract

References

Related Articles

Catalog

Related

Export File

Citation

Format

Content