SWOT卫星海面高自交叉点不符值及其影响因素分析

doi:10.3976/j.issn.1002-4026.2025040

摘要/Abstract

摘要：

利用地表水与海洋地形卫星(SWOT)的L2级低速率专家级数据,采用格网法计算交叉点位置,定量分析了自交叉点不符值大小,并通过定量分析探索了交叉点时间差、交叉点距离、离海岸距离、纬度等因素对不符值的影响。结果表明,大多数区域的不符值集中在-0.2~0.2 m之间,数据一致性较好,但在特定区域出现较大的不符值。进一步分析发现,交叉点之间的距离对不符值影响较小,靠近海岸线的不符值较为离散,随着距离海岸线的增加不符值逐渐减小并趋于稳定;在高纬度区域,不符值也有所减小,时间差对不符值的影响则表现出一定的离散性,而在一定范围内(2 km),交叉点之间的距离对交叉点不符值影响不大。研究结论为改进SWOT卫星测高数据的精度和可靠性提供了科学依据。

关键词: 地表水与海洋地形卫星, 自交叉点不符值, 纬度, 时间差

Abstract:

Using Level-2 low-rate expert-level data obtained from the Surface Water and Ocean Topography (SWOT) satellites, this study calculates the positions of crossover points using a gridding method, quantitatively analyzes self-crossover discrepancies, and investigates the impacts of various factors—the time difference between the crossover points, crossover distance, distance from the coast, and latitude—on these discrepancies.Results show that in most regions, discrepancies fall within the range of -0.2 m to 0.2 m, indicating good data consistency, although notable discrepancies are observed in specific regions. Further analysis reveals that the distance between the crossover points has a minimal impact on discrepancies; discrepancies near the coastline are relatively dispersed, while those observed in regions farther from the coastline tend to decrease and stabilize. In high-latitude regions, discrepancies decrease. The time difference shows a certain degree of dispersion in its influence on discrepancies. In a certain range (within 2 km), the distance between the crossover points has a minimal impact on discrepancies. The findings of this study provide a scientific basis for improving the accuracy and reliability of altimetry data obtained from SWOT satellites.

Key words: surface water and ocean topography satellite, self-crossover discrepancies, latitude, time difference

中图分类号:

P414.4

邓艳芬, 章晓洁, 蒋芸芸, 赵建丽. SWOT卫星海面高自交叉点不符值及其影响因素分析[J]. 山东科学, 2025, 38(3): 34-39.

DENG Yanfen, ZHANG Xiaojie, JIANG Yunyun, ZHAO Jianli. Analysis of self-crossover discrepancies in observed sea surface height using SWOT satellites and influencing factors[J]. Shandong Science, 2025, 38(3): 34-39.

图/表 6

图1

图2

图3

图4

图5

图6

参考文献 21

[1]	张体强, 朱卫东, 范子贤. Jason-3卫星高度计回波波形去噪及重定方法研究[J]. 大地测量与地球动力学, 2023, 43(11): 1183-1187. DOI: 10.14075/j.jgg.2023.11.015.
[2]	潘轶, 岳建平, 宋亚宏, 等. 1993-2015年中国南海海平面变化的初步研究[J]. 地理空间信息, 2017, 15(10):9-13. DOI:10.3969/j.issn.1672-4623.2017.10.003.
[3]	MARTIN S A, MANUCHARYAN G E, KLEIN P. Synthesizing sea surface temperature and satellite altimetry observations using deep learning improves the accuracy and resolution of gridded sea surface height anomalies[J]. Journal of Advances in Modeling Earth Systems, 2023, 15(5): e2022MS003589. DOI: 10.1029/2022ms003589.
[4]	杨佳仪, 周佳轩, 吴红波. 1992年以来贝加尔湖湖区水位变化特征分析[J]. 地理空间信息, 2023, 21(9):31-35.DOI:10.3969/j.issn.1672-4623.2017.10.
[5]	LIU L, ZHANG X Y, FEI J F, et al. Key factors for improving the resolution of mapped sea surface height from multi-satellite altimeters in the South China Sea[J]. Remote Sensing, 2023, 15(17): 4275. DOI: 10.3390/rs15174275.
[6]	AGARWAL N, SHARMA R, KUMAR R. Impact of along-track altimeter sea surface height anomaly assimilation on surface and sub-surface currents in the Bay of Bengal[J]. Ocean Modelling, 2022, 169: 101931. DOI: 10.1016/j.ocemod.2021.101931.
[7]	陈旭, 孔祥雪, 周润生, 等. 一种基于SWOT宽刈幅模拟数据的沿轨垂线偏差求解方法[J]. 海洋学报, 2023, 45(11):175-184.DOI:10.12284/hyxb2023138.
[8]	周兴华, 杨磊, 徐永生, 等. 干涉雷达高度计定标检验进展[J]. 海洋科学进展, 2020, 38(4):549-561.DOI:10.3969/j.issn.1671-6647.2020.04.001.
[9]	CHELTON D B, SAMELSON R M, FARRAR J T. The effects of uncorrelated measurement noise on SWOT estimates of sea surface height, velocity, and vorticity[J]. Journal of Atmospheric and Oceanic Technology, 2022, 39(7): 1053-1083. DOI: 10.1175/jtech-d-21-0167.1.
[10]	徐永生, 高乐, 张云华. 美国新一代测高卫星SWOT:评述我国宽刈幅干涉卫星的发展借鉴[J]. 遥感技术与应用, 2017, 32(1): 84-94. DOI: 10.11873/j.issn.1004-0323.2017.1.0084.
[11]	SUN M Z, FENG W, YU D C, et al. Analysing the impact of SWOT observation errors on marine gravity recovery[J]. Geophysical Journal International, 2024, 237(2): 862-871. DOI: 10.1093/gji/ggae073.
[12]	YU Y, SANDWELL D T, DIBARBOURE G, et al. Accuracy and resolution of SWOT altimetry: Foundation seamounts[J]. Earth and Space Science, 2024, 11(6): e2024EA003581. DOI: 10.1029/2024ea003581.
[13]	白卓, 张颢馨, 马纯永, 等. 星载成像高度计双侧独立交叉定标方法[J]. 遥感学报, 2023, 27(4): 919-931.DOI:10.11834/jrs.20221170.
[14]	陈洁好, 张云华, 董晓. 天宫二号三维成像微波高度计大气斜距时延校正[J]. 遥感学报, 2020, 24(9): 1059-1069.DOI:10.11834/jrs.20208509.
[15]	MERTIKAS S, TRIPOLITSIOTIS A, DONLON C, et al. The ESA permanent facility for altimetry calibration: Monitoring performance of radar altimeters for sentinel-3A, sentinel-3B and Jason-3 using transponder and sea-surface calibrations with FRM standards[J]. Remote Sensing, 2020, 12(16): 2642. DOI: 10.3390/rs12162642.
[16]	管斌, 孙中苗, 刘晓刚, 等. 验潮站和深海压力仪用于卫星高度计性能评估的可行性分析[J]. 测绘学报, 2019, 48(2): 161-168.DOI:10.11947/j.AGCS.2019.20170655.
[17]	杨磊, 周兴华, 林明森, 等. HY-2A卫星雷达高度计全球IGDR数据质量评估[J]. 地球物理学进展, 2016, 31(2): 629-636. DOI: 10.6038/pg20160216.
[18]	杨磊, 周兴华, 王朝阳, 等. 基于GNSS浮标和验潮资料的HY-2A卫星高度计绝对定标[J]. 海洋学报, 2017, 39(1): 111-120. DOI: 10.3969/j.issn.0253-4193.2017.01.012.
[19]	XU X Y, XU K, SHEN H, et al. Sea surface height and significant wave height calibration methodology by a GNSS buoy campaign for HY-2A altimeter[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(11): 5252-5261. DOI: 10.1109/jstars.2016.2584626.
[20]	CUI W, WANG W, JIE Z, et al. Improvement of sea surface height measurements of HY-2A satellite altimeter using Jason-2[J]. Marine Geodesy, 2018, 41(6): 632-648. DOI: 10.1080/01490419.2018.1529643.
[21]	AVISO/DUACS. SWOT Level-3 KaRIn Low Rate SSH Basic (Version 1)[DB/OL]. [2025-03-20]. https://www.aviso.altimetry.fr/en/data/products/sea-surface-height-products/global/swot-l3-ocean-products.html.