Influence of ocean tidal loading on InSAR offshore areas deformation monitoring
Influence of ocean tidal loading on InSAR offshore areas deformation monitoring
复制标题
大地测量与地球动力学_海洋潮汐载荷对InSAR的影响
DOI：
10.1016/j.geog.2016.09.004
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发表时间：
2017
影响因子：
2.4
通讯作者：
Hongqiang Zhang
中科院分区：
文献类型：
--
作者：
Mengfei Lei;Qijie Wang;Xiaoli Liu;Bing Xu;Hongqiang Zhang
海潮会引起海水质量的重新分布，从而引起地球表面的变形，即海潮载荷（OTL）。OTL垂直位移可以达到几厘米，特别是在沿海地区，因此必须考虑其在高精度大地测量领域的影响。本文主要研究OTL对InSAR变形测量的影响。我们改善了南海的环境。然后将改进后的区域模型与其他区域模型进行比较。结果表明，改进后的区域模型可以达到更高的精度。然后用它代替全局模型的离岸部分来生成当前模型。我们发现，本模型观测到的位移在某些位置比其他模型大2 ~ 3 mm。最后，利用该模型对上海和洛杉矶InSAR观测到的形变进行了校正。IGS台站位移与校正数据的对比表明，OTL校正可使InSAR变形结果精度提高约20%。
The ocean tide can cause the redistribution of the seawater mass, resulting in earth's surface deformation, namely ocean tidal loading (OTL). OTL vertical displacement may reach several centimeters, especially in coastal areas, so its effect in the field of high precision geodesy must be considered. This study concentrates on the influences of OTL on InSAR deformation measurements. We improve the osu.chinasea.2010 regional model and then compare the improved regional model with other regional models. It turns out that the improved regional model can achieve higher precision. Then we use it to replace the offshore part of the global model to generate the present model. We find that the displacement observed by the present model is 2–3 mm larger than that of other models on some sites. Finally, the present model is used to correct the deformation observed by InSAR of Shanghai and Los Angeles. A comparison between the displacements of IGS station with the corrected data shows that the OTL correction can improve the accuracy of InSAR deformation results by about 20%.
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影响因子：
--
作者：
E. Rignot;L. Padman;D. Macayeal;M. Schmeltz
通讯作者：
E. Rignot;L. Padman;D. Macayeal;M. Schmeltz
影响因子：
4.4
作者：
S. Melachroinos;R. Biancale;M. Llubes;F. Perosanz;F. Lyard;M. Vergnolle;M. Bouin;F. Masson;J. Nicolas;L. Morel;S. Durand
通讯作者：
S. Melachroinos;R. Biancale;M. Llubes;F. Perosanz;F. Lyard;M. Vergnolle;M. Bouin;F. Masson;J. Nicolas;L. Morel;S. Durand
影响因子：
25.2
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通讯作者：
Yi, Y.
影响因子：
1.6
作者：
L. Padman;S. Erofeeva;I. Joughin
通讯作者：
L. Padman;S. Erofeeva;I. Joughin
影响因子：
5.7
作者：
Fang Guo-hong;Xu Xiaoqing;Wei Ze-xun;W. Yonggang;Wang Xinyi
通讯作者：
Fang Guo-hong;Xu Xiaoqing;Wei Ze-xun;W. Yonggang;Wang Xinyi