InSAR大气水汽定标与验证——以胶东半岛为例

doi:10.13474/j.cnki.11-2246.2026.1009

摘要/Abstract

摘要： [目的] 合成孔径雷达干涉测量(InSAR)大气水汽监测基于差分干涉原理，反演结果为差分大气可降水量(PWV相对量)。为获取InSAR PWV的绝对值，本文提出了一种融合InSAR、北斗卫星导航系统(BDS)与ERA5气象再分析数据的大气水汽精细化监测方法。[方法] 利用StaMPS-InSAR技术处理了胶东半岛区域25幅Sentinel-1A影像，反演得到ΔPWV；利用BDS PWV和ERA5 PWV对InSAR ΔPWV进行时空定标，得到PWV绝对值。[结果] 结果表明，InSAR PWV与青岛探空站、FULS及RUSH站PWV的相关系数均达0.96以上，均方根误差(RMSE)分别为3.44、2.58和2.39 mm。综合验证显示，InSAR PWV无显著系统性偏差，整体精度优于3.5 mm。相较单一BDS定标方案，本文提出的BDS与ERA5联合定标方法将精度提升了16.5%～28.4%，验证了该定标策略在复杂沿海环境下的可靠性。[结论] InSAR PWV空间分辨率可达米级，可精细地呈现PWV的变化特征，这对研究复杂地形区域极端降水天气PWV时空分布及演变规律具有重要的参考价值。

关键词: 大气可降水量, BDS, StaMPS-InSAR, 多源数据融合, 定标

Abstract: [Purposes] Interferometric synthetic aperture radar (InSAR)atmospheric water vapor monitoring is based on the principle of differential interferometry,with the inversion result representing the differential precipitable water vapor (ΔPWV),i.e.,a relative measure of PWV.To derive the absolute InSAR PWV values,this study proposes a refined atmospheric water vapor monitoring method by integrating InSAR,BeiDou Navigation Satellite System (BDS),and ERA5 reanalysis data. [Methods] By applying the StaMPS-InSAR technique to 25 Sentinel-1A images over the Jiaodong peninsula region,ΔPWV was retrieved.The InSAR-derived ΔPWV was then spatiotemporally calibrated using BDS PWV and ERA5 PWV to obtain absolute PWV values. [Findings] Results indicate that the correlation coefficients between InSAR PWV and PWV measurements from Qingdao sounding stations,FULS,and RUSH stations all exceed 0.96,with respective root mean square errors (RMSE)of 3.44,2.58,and 2.39 mm.Comprehensive validation demonstrated that InSAR PWV exhibits no significant systematic bias,with overall accuracy exceeding 3.5 mm.Compared with the single BDS calibration approach,the proposed joint BDS-ERA5 calibration method improves accuracy by 16.5%to 28.4%,demonstrating the reliability of the calibration strategy in complex coastal environments. [Conclusions] The proposed method yields absolute PWV with meter-level spatial resolution,effectively capturing fine-scale spatiotemporal variations.This approach provides significant reference value for investigating the distribution and evolution of PWV during extreme precipitation events in complex terrain regions．

Key words: precipitable water vapor, BDS, StaMPS-InSAR, multi-source data fusion, calibrate

中图分类号:

P237

郭秋英, 华桂宏, 李朋朋, 李德伟, 王政玉, 孙英君. InSAR大气水汽定标与验证——以胶东半岛为例[J]. 测绘通报, 2026, 0(10): 61-66,91.

Guo Qiuying, Hua Guihong, Li Pengpeng, Li Dewei, Wang Zhengyu, Sun Yingjun. Calibration and validation of InSAR atmospheric water vapor: a case study of Jiaodong peninsula[J]. Bulletin of Surveying and Mapping, 2026, 0(10): 61-66,91.

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链接本文: http://tb.chinasmp.com/CN/10.13474/j.cnki.11-2246.2026.1009

http://tb.chinasmp.com/CN/Y2026/V0/I10/61

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