摘要
针对全球卫星导航系统(GNSS)获取对流层天顶延迟(ZTD)空间覆盖低的问题,提出一种高分辨率ZTD快速成图算法,旨在从甘肃省连续运行基准站网(GSCORS)观测数据中估计分辨率为0.01°×0.01°的ZTD图:引入全球预报系统(GFS)预报产品建立虚拟测站,采用球冠谐分析法联合处理GNSS观测与虚拟ZTD,最终生成2023年甘肃庆阳及周边地区8000多张ZTD图;所提算法估计的GSCORS-ZTD产品首次用于评估研究区域其他的多源ZTD产品,并分析该地区ZTD的时空变化特征。以独立的GNSS和全球气候第五代大气再分析数据(ERA5)为参考,实验结果表明,所提算法估计的ZTD图全年平均均方根误差(RMSE)与偏差分别为14.95/9.54 mm和20.79/12.60 mm,具有高质量和精细分辨率的产品特征。
Aiming at the problem of low spatial coverage of zenith tropospheric delay(ZTD)derived from global navigation satellite system(GNSS)observations,the paper proposed a high-resolution ZTD rapid mapping algorithm,in order to estimate a ZTD map with a resolution of 0.01°×0.01°from observation data of Gansu continuously operating reference station(GSCORS):the global forecast system(GFS)forecast products were introduced to establish virtual stations,and spherical harmonic analysis was used to jointly process GNSS observations and virtual ZTD.ultimately,more than 8000 ZTD maps were generated for Qingyang and surrounding areas in Gansu Province in 2023;the proposed algorithm-estimated GSCORS-ZTD product was used for the first time to evaluate the ZTD products from other multi-source data in the study area and to analyze the temporal and spatial variation characteristics of ZTD in the region.By using independent GNSS and the fifth generation atmospheric reanalysis of the global climate(ERA5)data as references,experimental results showed that the root mean square error(RMSE)and bias of the ZTD maps estimated by the proposed algorithm would be 14.95/9.54 mm and 20.79/12.60 mm,respectively,with the characteristic of high-quality and fine-resolution products.
作者
王立阳
WANG Liyang(Surveying and Mapping Engineering Institute of GanSu Province/Emergency Mapping Engineering Research Center of Gansu Province,Lanzhou 730000,China)
出处
《导航定位学报》
北大核心
2026年第1期132-141,共10页
Journal of Navigation and Positioning
基金
2024年度自然资源部部省合作项目(2024ZRBSHZ169)
甘肃省自然资源厅科技创新项目(202217)
甘肃省陇原青年英才资金资助项目。
