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作 者:周润生 张胜军[1] 孔祥雪[2] ZHOU Run-sheng;ZHANG Sheng-jun;KONG Xiang-xue(School of Resources&Civil Engineering,Northeastern University,Shenyang 110819,China;Liaoning Earthquake Agency,Shenyang 110031,China)
机构地区:[1]东北大学资源与土木工程学院,辽宁沈阳110819 [2]辽宁省地震局,辽宁沈阳110031
出 处:《东北大学学报(自然科学版)》2023年第9期1328-1336,共9页Journal of Northeastern University(Natural Science)
基 金:国家自然科学基金资助项目(41804002);中央高校基本科研业务费专项资金资助项目(N2201012).
摘 要:我国海洋二号系列卫星积累了海量数据,而测高资料沿轨大地水准面分辨能力的提升与海洋重力场模型的精化紧密关联.基于自谱分析、互谱分析和相干函数计算等实现了卫星测高资料的沿轨大地水准面分辨能力估算,并分别选定HY-2B与SARAL/AltiKa,HY-2C与Jason-2的空间相近轨迹序列开展实验.研究结果表明,HY-2C的平均分辨能力为19.15 km,略优于HY-2B与Jason-2,同时略低于脉冲重复频率更高的SARAL/AltiKa Ka波段测高资料.此外,重复周期的共线处理能通过有效抑噪以显著提升沿轨大地水准面分辨能力,在5,10和20个周期共线处理的情况下,HY-2B沿轨分辨能力分别提升了19.26%,38.56%和46.69%.因此,在HY-2A,CryoSat-2等测高任务提供了多周期重复观测的大地测量任务观测序列时,必要的共线处理将为海洋重力场模型精化带来更高效的数据融合.The series of HY-2 satellites have accumulated a large amount of data,and the improvement of the resolution of the along orbit geoid of altimetry data is closely related to the refinement of the ocean gravity field model.This paper utilizes self-spectrum analysis,cross spectrum analysis,and coherence function calculation to estimate along orbit geoid resolution of satellite altimetry data.Spatially similar trajectory sequences of HY-2B and SARAL/AltiKa,as well as HY-2C and Jason-2,were selected to carry out the experiment.The results show that the average resolution of HY-2C is 19.15 km,slightly better than HY-2B and Jason-2,but slightly lower than the SARAL/AlitKa Ka-band altimetry data with higher pulse repetition frequency.In addition,the repeated period collinear processing can significantly improve the resolution of along-track geoid by effectively suppressing noise.Under the condition of 5,10 and 20 periods collinear processing,the resolution of HY-2B along orbit is improved by 19.26%,38.56%and 46.69%,respectively.Therefore,when HY-2A,CryoSat-2 and other altimetry missions provide the observation sequence of geodetic missions with multi-period and repeated observations,the necessary collinear processing will bring more efficient data fusion for the refinement of marine gravity field model.
分 类 号:P228[天文地球—大地测量学与测量工程]
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