一种建立南海浅海海域高精度潮汐模型方法的研究

发布时间：2018-04-09 12:34

本文选题：卫星测高　切入点：潮汐模型　出处：《海洋科学进展》2016年03期

【摘要】：针对应用高度计数据建立的海潮模型在浅海海域精度较低的现状,提出采用移去-恢复技术联合利用19a T/P、Jason-1卫星原始轨道、变轨轨道高度计数据建立南海浅海海域高精度潮汐模型的方法。处理卫星高度计数据时以平均海平面为基准面,按纬差0.1°间隔采用沿迹分析提取南海海域原始轨道2 184个正常点和变轨轨道1 626个正常点;分别对原始轨道、变轨轨道正常点进行调和分析以及响应分析,得到潮汐主要分潮调和常数;进一步建立网格潮汐模型,讨论了不同分辨率潮汐模型的精度差异。基于验潮站数据集结果运用移去-恢复技术对所建潮汐模型进行改进,改进后潮汐模型4个最主要分潮O_1,K_1,M_2和S_2的RMS分别提高至7.76,9.40,13.86和8.51cm,RSS达到20.32cm,表明移去-恢复技术能够明显改善潮汐模型在浅海海域的精度。
[Abstract]:In view of the low accuracy of the ocean tide model established by using altimeter data in shallow waters, a joint use of removing-recovery technique to utilize the original orbit of the 19a T / P Pfi-Jason-1 satellite is proposed.The method of establishing a high accuracy tidal model in the shallow sea area of the South China Sea by using the orbital altimeter data.In processing the satellite altimeter data, the mean sea level is taken as the datum, and the original orbit of the South China Sea area is extracted by track analysis from the original orbit of 2,184 normal points and the orbiting orbit of 1,626 normal points according to the latitude difference of 0.1 掳, respectively, for the original orbit,The harmonic analysis and response analysis of the normal point of the orbit are carried out to obtain the main tidal harmonic constants and the grid tidal model is established and the accuracy difference of the tidal model with different resolution is discussed.Based on the results of tidal station data set, the moving-recovery technique is used to improve the tidal model.The RMS of the four main tide-compartments of the improved tidal model, O _ S _ 1 / K _ T _ 2 and S _ s _ 2, are increased to 7.76 ~ 9.40 ~ 13.86 and 8.51 cm ~ (-1) respectively, which indicates that the moving-recovery technique can obviously improve the accuracy of the tidal model in the shallow sea area.
【作者单位】：山东科技大学测绘科学与工程学院;国家海洋局第一海洋研究所;
【基金】：中央级公益性科研院所基本科研业务费专项资金资助项目——基于GNSS浮标的卫星高度计定标技术研究(2014G21) 国家海洋局科技司专项业务费项目——开展卫星海洋测绘应用(WX0316005) 国家国际科技合作专项——自主星载高度计海面在轨绝对定标关键技术研究(2014DFA21710)
【分类号】：P731.23

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