SWOT测高数据反演高分辨率海洋重力场增益分析

doi:10.11947/j.AGCS.2026.20250422

测绘学报 ›› 2026, Vol. 55 ›› Issue (7): 1158-1170.doi: 10.11947/j.AGCS.2026.20250422

• 人工智能的大地测量与卫星重力反演前沿 • 上一篇

SWOT测高数据反演高分辨率海洋重力场增益分析

禤键豪¹(), 陈秋杰¹(), 张兴福², 沈云中¹

^1.同济大学测绘与地理信息学院，上海　200092
^2.广东工业大学测绘遥感系，广东　广州　510006

收稿日期:2025-10-11 修回日期:2026-01-05 发布日期:2026-08-18
通讯作者: 陈秋杰 E-mail:jhxuan@tongji.edu.cn;qiujiechen@tongji.edu.cn
作者简介:禤键豪（1999—），男，博士生，研究方向为高分辨率地球重力场模型构建。 E-mail：jhxuan@tongji.edu.cn
基金资助:
国家自然科学基金(42192532; 42574006);国家重点研发计划(2021YFB3900101);中央高校基本科研业务费专项资金资助

Assessing the enhancement of high-resolution marine gravity field recovery by SWOT altimetry data

Jianhao Xuan¹(), Qiujie Chen¹(), Xingfu Zhang², Yunzhong Shen¹

^1.College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China
^2.Department of Surveying, Mapping and Remote Sensing, Guangdong University of Technology, Guangzhou 510006, China

Received:2025-10-11 Revised:2026-01-05 Published:2026-08-18
Contact: Qiujie Chen E-mail:jhxuan@tongji.edu.cn;qiujiechen@tongji.edu.cn
About author:Xuan Jianhao (1999—), male, PhD candidate, majors in high-resolution Earth's gravity field modelling. E-mail: jhxuan@tongji.edu.cn
Supported by:
The National Natural Science Foundation of China(42192532; 42574006);The National Key Research and Development Program of China(2021YFB3900101);The Fundamental Research Funds for the Central Universities

摘要/Abstract

摘要：

高分辨率海洋重力场是研究海底构造、资源勘探和海洋环流的关键基础数据。本文结合SWOT等多源测高卫星数据和GRACE/GOCE重力卫星法方程数据，采用块对角法方程与全法方程融合算法在椭球谐层面解算了2190阶Tongji-SWOT03全球重力场模型。利用频-空域分析及与船测数据进行了对比验证，结果表明：①联合解算有效融合了卫星重力数据蕴含的重力场长波信号与SWOT卫星捕获的高频重力场信号；②Tongji-SWOT03模型在全球船测数据评估中取得3.64 mGal的最优精度，同时在近岸、公海及海沟等不同海域均表现稳定，且局部对比结果也验证了其对重力异常细节的刻画能力；③重力场融合模型相较于海洋重力场模型精度提升幅度为2%～7%。因此，融合多源卫星观测是构建高精度、高分辨率全球海洋重力场模型的有效途径。

关键词: 高分辨率重力场模型, SWOT, 卫星重力, 船测重力异常, 块对角最小二乘

Abstract:

The high-resolution marine gravity field is critical for studying seabed tectonics, resource exploration, and ocean circulation. This study developed a degree and order 2190 global gravity field solution named Tongji-SWOT03 in ellipsoidal harmonics by integrating the block-diagonal normal equation of multi-source altimetry data (including SWOT) with the full normal equation from GRACE/GOCE satellite gravity data. Spectral-spatial domain analysis and validation against shipborne gravity data reveal that: ①the combined solution effectively incorporates the long-wavelength signals from satellite gravimetry and the high-frequency details from SWOT data; ②the Tongji-SWOT03 solution achieves the highest overall accuracy of 3.64 mGal in global shipborne validation, demonstrates robust performance across diverse marine environments, including coastal zones, open oceans, and trenches, shows enhanced capability in resolving fine-scale gravity anomaly features; ③the combined gravity field solutions improve accuracy by 2%～7% over marine gravity field solutions. This study confirms that multi-source satellite data combination provides an effective pathway toward high-accuracy and high-resolution global marine gravity field modeling.

Key words: high-resolution gravity field solution, SWOT, satellite gravimetry, shipborne gravity anomaly, block-diagonal least squares

中图分类号:

P223

禤键豪, 陈秋杰, 张兴福, 沈云中. SWOT测高数据反演高分辨率海洋重力场增益分析[J]. 测绘学报, 2026, 55(7): 1158-1170.

Jianhao Xuan, Qiujie Chen, Xingfu Zhang, Yunzhong Shen. Assessing the enhancement of high-resolution marine gravity field recovery by SWOT altimetry data[J]. Acta Geodaetica et Cartographica Sinica, 2026, 55(7): 1158-1170.

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链接本文: http://xb.chinasmp.com/CN/10.11947/j.AGCS.2026.20250422

http://xb.chinasmp.com/CN/Y2026/V55/I7/1158

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	模型	最小值	最大值	RMS
重力场融合模型	Tongji-SWOT03	－50.04	33.74	3.64
	Tongji-Grav32.1	－53.87	55.05	3.83
	Tongji-DTU17	－45.16	33.97	3.83
	Tongji-SDUST22	－45.56	37.02	3.84
	Tongji-NSOAS24	－43.55	35.70	3.76
海洋重力场模型	Grav_SWOT_03	－51.27	41.21	3.73
	Grav_32.1	－53.75	58.46	3.92
	DTU17	－46.34	31.59	3.89
	SDUST2022GRA	－46.50	37.69	3.86
	NSOAS24	－44.37	37.17	3.82

模型	卫星	近岸区域（0～10 km）			近岸区域（10～20 km）			公海区域（>20 km）
模型	卫星	最小值	最大值	RMS	最小值	最大值	RMS	最小值	最大值	RMS
重力场融合模型	Tongji-SWOT03	－50.04	32.84	7.32	－33.36	32.79	5.45	－30.57	34.62	3.41
	Tongji-Grav32.1	－53.77	48.48	8.11	－40.80	47.44	6.33	－28.69	32.36	3.53
	Tongji-DTU17	－45.16	31.76	6.87	－23.22	26.62	5.83	－23.98	26.36	3.62
	Tongji-SDUST22	－45.56	37.48	8.17	－31.68	31.00	6.09	－25.09	30.46	3.55
	Tongji-NSOAS24	－43.55	34.49	7.53	－29.37	34.65	5.93	－29.02	28.89	3.50
海洋重力场模型	Grav_SWOT_03	－51.27	33.23	7.43	－34.63	29.71	5.64	－30.64	42.00	3.49
	Grav_32.1	－54.97	51.88	8.24	－41.25	49.51	6.49	－28.94	39.21	3.60
	DTU17	－46.34	31.47	6.94	－23.24	24.29	5.83	－23.71	25.85	3.68
	SDUST2022GRA	－46.50	37.79	8.18	－31.66	26.60	5.98	－25.02	30.32	3.56
	NSOAS24	－44.37	35.51	7.59	－29.31	30.01	5.87	－29.06	28.85	3.55

模型	卫星	最小值	最大值	RMS
重力场融合模型	Tongji-SWOT03	－35.99	28.25	4.24
	Tongji-Grav32.1	－53.87	44.86	4.60
	Tongji-DTU17	－18.59	26.26	4.40
	Tongji-SDUST22	－41.04	32.25	4.56
	Tongji-NSOAS24	－37.54	29.85	4.44
海洋重力场模型	Grav_SWOT_03	－37.65	30.21	4.35
	Grav_32.1	－53.75	47.80	4.66
	DTU17	－18.64	25.70	4.44
	SDUST2022GRA	－40.78	32.79	4.57
	NSOAS24	－37.43	31.87	4.52

卫星	最小值	最大值	RMS
Tongji-SWOT03	－61.91	43.04	4.19
Tongji-Grav32.1	－63.92	41.69	4.30
Tongji-DTU17	－52.90	39.08	4.33
Tongji-SDUST22	－53.09	43.68	4.31
Tongji-NSOAS24	－48.99	38.13	4.27

SWOT测高数据反演高分辨率海洋重力场增益分析

Assessing the enhancement of high-resolution marine gravity field recovery by SWOT altimetry data

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