广东工业大学学报 ›› 2014, Vol. 31 ›› Issue (2): 74-77.doi: 10.3969/j.issn.1007-7162.2014.02.014

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基于ECMWF模型改正InSAR大气延迟误差的可靠性实验

王华,彭佳卉   

  1. 广东工业大学 土木与交通工程学院,广东 广州 510006
  • 出版日期:2014-06-06 发布日期:2018-06-12
  • 作者简介:王华(1978-),男,副教授,博士,主要研究方向为InSAR、大陆构造与地震周期.
  • 基金资助:
    国家自然科学基金资助项目(41104016)

Test on InSAR Atmospheric Delay Correction Using ECMWF Model

Wang Hua, Peng Jiahui   

  1. School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
  • Online:2014-06-06 Published:2018-06-12
  • Supported by:
     

摘要: 大气延迟是影响InSAR观测数据质量的最主要因素之一.然而,这一难题一直没有很好的解决办法.近年来,采用气象模型改正InSAR大气延迟误差是一个热门的研究方向,不过其有效性和可推广性还需要一些实验来检验.本文采用青藏高原中部的InSAR数据检验基于ECMWF模型改正InSAR大气延迟误差的有效性.结果显示本实验采用的8幅干涉图中只有3幅在改正后方差减小,而所有数据的平均方差比改正之前更大,证明该模型无法很好地改正该地区InSAR的大气延迟误差.鉴于目前尚无可靠的方法判断何时何地ECMWF模型对InSAR大气延迟误差有改进作用,建议谨慎采用该模型改正大气延迟误差.

关键词: 雷达干涉测量, 大气延迟, 欧洲中尺度天气预报中心(ECMWF), 气象模型

Abstract: Atmospheric delay is one of the most significant errors in InSAR. However, efficient methods have not been found to correct such artifact yet. Weather models have been widely used to correct InSAR atmospheric delay errors in recent years, but more tests are required to demonstrate the efficiency of this method. The ECMWF model was used to correct InSAR atmospheric delay errors in central Tibet. The results indicate that only 3 out of 8 interferograms have been improved with smaller variance after correction, and the average variance is even bigger than that before correction. It means that with the ECMWF model, reliable improvements cannot be made in our study area. Considering that there is no reliable approach to test when and where the ECMWF model can improve the quality of InSAR data,  it is suggested that the users should be more careful about using this model for InSAR correction. 

Key words: InSAR, atmospheric delay, ECMWF weather model

中图分类号: 

  • TU196
[1] 陈文彬, 王华, 吴希文. 1"与3"SRTM DEM在珠江三角洲地区InSAR形变监测中的应用效果比较[J]. 广东工业大学学报, 2018, 35(02): 41-45.
[2] 吴海翔, 王华, 黄秀汝, Carolina Pagli, 杨泽鑫. 利用过采样方法提高矿区沉降干涉图的相干性[J]. 广东工业大学学报, 2015, 32(3): 123-126.
[3] 王华, 罗丽芳. 利用InSAR相干性提取青藏高原湖泊边界[J]. 广东工业大学学报, 2014, 31(1): 118-120.
[4] 王华;. InSAR数据在提取断层位置中的应用[J]. 广东工业大学学报, 2009, 26(2): 15-.
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