测绘通报 ›› 2025, Vol. 0 ›› Issue (9): 98-104.doi: 10.13474/j.cnki.11-2246.2025.0916

• 学术研究 • 上一篇    下一篇

基于COSMIC-2反演的对流层延迟高程补偿方法及精度评估

吴昂道, 唐旭   

  1. 南京信息工程大学遥感与测绘工程学院, 江苏 南京 210044
  • 收稿日期:2025-02-05 发布日期:2025-09-29
  • 通讯作者: 唐旭。E-mail:Xu.Tang@nuist.edu.cn
  • 作者简介:吴昂道(1999—),男,硕士生,主要从事GNSS气象学方向的研究。E-mail:202312480181@nuist.edu.cn
  • 基金资助:
    国家重点研发计划(2023YFE0208400)

Elevation compensation method and accuracy assessment for COSMIC-2 tropospheric delay

WU Angdao, TANG Xu   

  1. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • Received:2025-02-05 Published:2025-09-29

摘要: 针对部分掩星COSMIC-2由于近地表数据缺失导致反演的天顶对流层延迟(ZTD)偏小的问题,本文首先利用ERA5数据提取相应时空的ZTD高程缩放因子,然后结合负指数模型对COSMIC-2 ZTD进行高程校正,并使用2020—2022年我国区域的探空站和陆态网GNSS ZTD数据验证模型校正精度。结果表明,修正后的COSMIC-2 ZTD较修正前的平均RMSE分别减少了30.95 和32.48 cm。此外,进一步分析了2022年不同月份的修正效果,结果显示,各月份COSMIC-2修正后ZTD的RMSE集中于2~8 cm。表明负指数高程模型在校正我国地区COSMIC-2 ZTD数据上具有良好的适用性,可以为我国的GNSS导航定位和水汽监测提供良好的对流层延迟改正服务。

关键词: 对流层延迟, 高程缩放因子, 负指数高程模型, 掩星COSMIC-2, ERA5再分析资料

Abstract: In response to the underestimation of COSMIC-2-retrieved zenith tropospheric delay (ZTD)caused by missing near-surface data,this study firstly employs elevation-based scaling factors derived from the ERA5 dataset,then applies a negative exponential model to correct the COSMIC-2 ZTD,and finally validates the correction accuracy using radiosonde measurements and GNSS ZTD data from the crustal movement observation network of China (CMONOC)across China during 2020—2022.The results indicate that,after applying the correction,the mean RMSE of the COSMIC-2 ZTD decreases by 30.95 and 32.48 cm when compared to the radiosonde and GNSS ZTD references,respectively.Moreover,a month-by-month assessment for 2022 shows that the corrected COSMIC-2 ZTD RMSE stabilizes within a range of 2~8 cm.These findings demonstrate the suitability of the negative exponential elevation model for enhancing COSMIC-2 ZTD data over China,providing reliable tropospheric delay corrections that benefit both GNSS navigation and atmospheric water-vapor monitoring.

Key words: zenith tropospheric delay, elevation scaling factor, negative exponential elevation model, COSMIC-2 radio occultation, ERA5 reanalysis data

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