Application of China's First Generation Global Atmospheric Reanalysis Data in InSAR Atmospheric Correction： A Case Study of Southern California

YUAN Yuwei; LI Zhiwei; MU Minzheng

doi:10.13203/j.whugis20230154

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Application of China's First Generation Global Atmospheric Reanalysis Data in InSAR Atmospheric Correction： A Case Study of Southern California

Photogrammetry and Remote Sensing | 更新时间：2026-11-05

- Application of China's First Generation Global Atmospheric Reanalysis Data in InSAR Atmospheric Correction： A Case Study of Southern California
- Geomatics and Information Science of Wuhan University Vol. 50, Issue 5, Pages: 959-972(2025)
- 作者机构：
  
  中南大学地球科学与信息物理学院，湖南长沙，410083
- 作者简介：
- 基金信息：
- DOI：10.13203/j.whugis20230154
  CLC： P237
- Received：26 April 2023，
  
  Published：05 May 2025
- 稿件说明：
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袁煜伟,李志伟,母岷政.中国第一代全球大气再分析数据在InSAR大气改正中的应用研究：以南加州地区为例[J].武汉大学学报（信息科学版）,2025,50(5):959-972.

YUAN Yuwei,LI Zhiwei,MU Minzheng.Application of China’s First Generation Global Atmospheric Reanalysis Data in InSAR Atmospheric Correction: A Case Study of Southern California[J].Geomatics and Information Science of Wuhan University,2025,50(5):959-972.
袁煜伟,李志伟,母岷政.中国第一代全球大气再分析数据在InSAR大气改正中的应用研究：以南加州地区为例[J].武汉大学学报（信息科学版）,2025,50(5):959-972. DOI：,10.13203/j.whugis20230154

YUAN Yuwei,LI Zhiwei,MU Minzheng.Application of China’s First Generation Global Atmospheric Reanalysis Data in InSAR Atmospheric Correction: A Case Study of Southern California[J].Geomatics and Information Science of Wuhan University,2025,50(5):959-972. DOI：,10.13203/j.whugis20230154

摘要

大气延迟是合成孔径雷达干涉测量（interferometric synthetic aperture radar，InSAR）地表形变监测的主要误差源之一。提出采用中国第一代全球大气和陆面再分析产品（China’s first generation global atmospheric and land reanalysis product

CRA）数据改正InSAR对流层延迟，并采用小基线集InSAR（small baseline subset InSAR

SBAS-InSAR）技术对南加州的地表变形监测进行了详细分析与评估。首先提出了利用该产品计算对流层延迟的方法，通过顾及大气参数垂直分层及水平变化的物理特性，分别对该产品原始气象参数进行垂直向和水平向的插值，沿卫星视线方向积分计算大气延迟，通过与原始干涉图差分，得到大气改正结果；然后将结果从干涉图相位标准差、空间相关性和相位-高程相关系数3个方面进行误差分析；最后利用Sentinel-1数据进行南加州形变测量实验，将该方法与经典SBAS-InSAR结果进行对比，使用全球定位系统数据进行验证。结果表明：（1）校正后的干涉图平均标准差减小了34.7%，65%的干涉图平均标准差减小了20%以上；（2）干涉图空间结构函数的期望平方差显著性下降表明该产品能有效抑制长波大气；（3）相关性的拟合系数变化表明该产品能够有效降低高程影响带来的大气垂直分层分量；（4）说明利用分辨率较低的全球大气模型数据进行大气改正时考虑对流层空间变化的有效性。所得结果说明了CRA产品在InSAR大气校正上的可行性。

Abstract

Objectives

Atmospheric delay is one of the main error sources in interferometric synthetic aperture radar (InSAR) surface deformation monitoring. Using the global meteorological model to correct the tropospheric delay has been successfully applied in recent years.

Methods

An InSAR atmospheric correction method is presented

which introduces China's first generation global atmospheric and land reanalysis product (CRA). Taking into account the physical characteristics of tropospheric meteorological parameters

the method was tested and evaluated quantitatively in Los Angeles

Southern California. The results show the feasibility of CRA products in InSAR atmospheric correction. First

the meteorological parameters such as temperature

water vapor and air pressure are obtained by CRA

taking into account the spatial variation characteristics of atmospheric parameters

according to the vertical stratification characteristics of meteorological data

the piecewise function is used to interpolate in the vertical direction. By considering the spatial variability of the atmosphere

the interpolation is carried out in the horizontal plane. According to the results

the atmospheric delay is calculated along the satellite line of sight. The atmospheric correction result is obtained by difference with the original interferogram. Second

verify and analyze the results. First

the error analysis is carried out from three aspects: interferogram standard deviation

spatial correlation and phase-elevation correlation coefficient. It is compared with the results of GACOS (generic atmospheric correction online service for InSAR) and PyAPS (Python⁃based atmospheric phase screen mitigation library) methods. Finally

78 interferograms obtained from 40 scenes Sentinel-1 data of Southern California based on short baseline principle are used to carry out sequential deformation measurement experiments

the proposed method is compared with classical small baseline subset InSAR (SBAS-InSAR) results

and verified by global positioning system （GPS) data.

Results

The results show that: (1) The average standard deviation of the corrected interferogram is reduced by 34.7% and the average standard deviation of 65% of interferograms has been reduced by more than 20%

especially for the interferograms that are seriously affected by the atmosphere. It is better than GACOS and PYAPS with an average improvement of 30%. (2) The significant decrease of the expected square variance of the spatial structure function of the interferogram shows that the product can effectively suppress the long-wave atmosphere. (3) The change of the fitting coefficient of correlation shows that the product can effectively reduce the atmospheric vertical stratification component caused by the influence of elevation. Depending on the degree of atmospheric influence

CRA can improve the vertical stratification component of the atmosphere

ranging from 20% to 60% or more. (4) It is effective to take the spatial variation of convection into account when establishing a high-resolution InSAR tropospheric delay map using low-resolution global atmospheric model data.

Conclusions

This paper confirms that CRA can correct and improve the overall accuracy of deformation monitoring. Through quantitative evaluation

researchers can fully understand the correction effect and performance of this pro-duct

which is helpful in promoting the application and development of this product. However

due to the differences of external data

follow-up research can combine global navigation satellite system(GNSS) data with CRA solution to further improve the accuracy of InSAR atmospheric correction.

关键词

Keywords

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