一种基于SWOT宽刈幅模拟数据的沿轨垂线偏差求解方法  

A method for solving along-track vertical deflection based on SWOT wideswath simulated data

作　　者：陈旭[1] 孔祥雪[2] 周润生 王勇 张胜军[1] Chen Xu;Kong Xiangxue;Zhou Runsheng;Wang Yong;Zhang Shengjun(School of Resources and 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：《海洋学报》2023年第11期175-184,共10页

基　　金：国家自然科学基金项目(41804002);中央高校基本科研业务费项目(N2201012)。

摘　　要：2022年12月16日成功发射的SWOT卫星是新一代宽刈幅测高任务,预期可以提供全球海域及内陆水面的二维条带高度信息,有望解决传统一维观测值解算垂线偏差方向分量精度不一的问题。本文利用SWOT模拟数据联立多个方向求解沿轨垂线偏差,并根据模拟数据特点提出两种提升解算精度方案:一是选取联立观测值时适当增大距离,二是根据SWOT条带数据质量分别赋权。与EGM2008模型检核表明,SWOT模拟数据求得的垂线偏差南北向检核标准差为0.4168角秒,东西向模型检核标准差为0.4729角秒,解算质量优于其他方案,证明了改进方案的可行性,并利用“天宫二”号宽刈幅数据进行了方法验证,表明可应用于SWOT真实数据求解垂线偏差。The SWOT was successfully launched on December 16,2022,which is a new generation of wide-swath altimetry satellite.The SWOT is expected to provide two-dimensional strip hight informations of global sea area and inland water surface.It is expected to solve the problem of traditional one-dimensional observations,which is inconsistent accuracy in solving the directional component of the vertical deflection.In this paper,we adopted SWOT simulated data to solve along-track vertical deflection by jointing multi-directions,and proposed two up-grading schemes according to the characteristics of the simulated data:one is to increase the distance of joint obser-vations appropriately,and the other is to assign weights according to the quality of SWOT strip data separately.The vertical deflection of the SWOT simulated data solved is checked with EGM2008 model,the standard deviation of the north component and east component are 0.4168,0.4729 arcsec respectively.The solution quality is better than other schemes,it proves the feasibility of improved schemes.The method is also validated using Tiangong II wide-swath data.So it can be applied to SWOT real data to solve the vertical deflection.

关 键 词：SWOT 宽刈幅干涉计 模拟数据 垂线偏差 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置] P715.6[自动化与计算机技术—控制科学与工程]