联合IGS、Sentinel-1、ERA5多源数据的中国台湾岛大气水汽反演

doi:10.13474/j.cnki.11-2246.2026.0207

测绘通报 ›› 2026, Vol. 0 ›› Issue (2): 38-45.doi: 10.13474/j.cnki.11-2246.2026.0207

联合IGS、Sentinel-1、ERA5多源数据的中国台湾岛大气水汽反演

周磊¹, 李德伟¹, 李晓红², 狄桂栓²

1. 山东建筑大学测绘地理信息学院, 山东济南 250101;
2. 山东省国土测绘院, 山东济南 250102

收稿日期:2025-07-03 发布日期:2026-03-12
通讯作者: 李德伟。E-mail:lidewei20@sdjzu.edu.cn
作者简介:周磊(2002—),男,主要研究方向为InSAR气象学。E-mail:18954152454@163.com
基金资助:
山东省自然科学基金(ZR2021QD155)

Atmospheric water vapor retrieval over China's Taiwan Island using combined IGS/Sentinel-1/ERA5 multi-source data

ZHOU Lei¹, LI Dewei¹, LI Xiaohong², DI Guishuan²

1. School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China;
2. Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250102, China

Received:2025-07-03 Published:2026-03-12

摘要/Abstract

摘要： 针对GNSS和InSAR技术在大气水汽反演过程中存在的各项差异导致的结果不确定问题,本文提出了一种联合IGS、Sentinel-1、ERA5多源数据的高精度、空间连续的大气水汽反演方法。首先以中国台湾岛为研究区,利用2023年72景Sentinel-1A数据生成的干涉图提取对流层延迟;其次利用IGS站干延迟验证并校正InSAR干延迟;再次通过映射函数克服GNSS与InSAR观测几何差异对结果的影响;然后利用ERA5气象再分析资料计算研究区空间连续的水汽转换系数;最后利用探空站、IGS站PWV数据验证InSAR PWV反演的精度。结果表明,与探空站和IGS站PWV相比,InSAR PWV的平均偏差均小于0.71 mm,均方根误差均小于1.63 mm。通过GNSS对干延迟和水汽转换系数计算的质量控制,InSAR可以实现高精度、空间连续、纹理细致的大气水汽提取,为山区复杂地形区域的大气水汽监测打下基础。

关键词: GNSS, InSAR, 大气延迟, 大气可降水量, 水汽转换系数

Abstract: Aiming at solving the uncertain problems result from the various differences in the atmospheric water vapor inversion process between GNSS and InSAR techniques,this paper proposes a high-precision,spatially continuous atmospheric water vapor inversion method that integrates multi-source data from IGS,Sentinel-1,ERA5.Firstly,taking China's Taiwan Island as the study area,tropospheric delays are extracted from interferograms generated by Sentinel-1A data of 72 scenes in 2023.Secondly,InSAR dry delays are verified and corrected by IGS station dry delays.Then,the geometric differences between GNSS and InSAR observations are overcome by mapping functions.And then,spatial continuous water vapor conversion coefficients are calculated by ERA5 meteorological reanalysis data.Finally,the accuracy of InSAR PWV inversion is verified by sounding station and IGS station PWV data.The results indicate that compared with PWV measurements from sounding stations and IGS stations,the average deviation of InSAR PWV is less than 0.71 mm,and the root mean square error is less than 1.63 mm.By incorporating GNSS-based quality control in the calculation of dry delay and water vapor conversion coefficients,InSAR enables high-precision,spatially continuous,and finely detailed atmospheric water vapor retrieval,thereby establishing a foundation for monitoring atmospheric water vapor distribution in mountainous regions with complex terrain.

Key words: GNSS, InSAR, atmospheric delay, precipitable water vapor, water vapor conversion factor

中图分类号:

P237

周磊, 李德伟, 李晓红, 狄桂栓. 联合IGS、Sentinel-1、ERA5多源数据的中国台湾岛大气水汽反演[J]. 测绘通报, 2026, 0(2): 38-45.

ZHOU Lei, LI Dewei, LI Xiaohong, DI Guishuan. Atmospheric water vapor retrieval over China's Taiwan Island using combined IGS/Sentinel-1/ERA5 multi-source data[J]. Bulletin of Surveying and Mapping, 2026, 0(2): 38-45.

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联合IGS、Sentinel-1、ERA5多源数据的中国台湾岛大气水汽反演

Atmospheric water vapor retrieval over China's Taiwan Island using combined IGS/Sentinel-1/ERA5 multi-source data

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