{"title":"An initial investigation of the non-isotropic feature of GNSS tropospheric delay","authors":"Ying Xu, Zaozao Yang, Hongzhan Zhou, Fangzhao Zhang","doi":"10.1186/s43020-023-00122-5","DOIUrl":null,"url":null,"abstract":"Tropospheric delay is a significant error source in Global Navigation Satellite Systems (GNSS) positioning. Slant Path Delay (SPD) is commonly derived by multiplying Zenith Tropospheric Delay (ZTD) with a mapping function. However, mapping functions, assuming atmospheric isotropy, restrict the accuracy of derived SPDs. To improve the accuracy, a horizontal gradient correction is introduced to account for azimuth-dependent SPD variations, treating the atmosphere as anisotropic. This study uncovers that, amidst atmospheric dynamics and spatiotemporal changes in moisture content, the SPD deviates from that based on traditional isotropy or anisotropy assumption. It innovatively introduces the concept that SPD exhibits non-isotropy with respect to azimuth angles. Hypothesis validation involves assessing SPD accuracy using three mapping functions at five International GNSS Service (IGS) stations, referencing the SPD with the ray-tracing method. It subsequently evaluates the SPD accuracy with horizontal gradient correction based on Vienna Mapping Function 3 (VMF3) estimation. Lastly, the non-isotropic of SPD is analyzed through the ray-tracing method. The results indicate the smallest residual (1.1–82.7 mm) between the SPDs with VMF3 and those with the ray-tracing. However, introducing horizontal gradient correction yields no significant improvement of SPD accuracy. Considering potential decimeter-level differences in SPD due to non-isotropic tropospheric delay across azimuth angles, a precise grasp and summary of these variations is pivotal for accurate tropospheric delay modeling. This finding provides vital support for future high-precision tropospheric delay modeling.","PeriodicalId":52643,"journal":{"name":"Satellite Navigation","volume":"1 1","pages":""},"PeriodicalIF":9.0000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Satellite Navigation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1186/s43020-023-00122-5","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
引用次数: 0
Abstract
Tropospheric delay is a significant error source in Global Navigation Satellite Systems (GNSS) positioning. Slant Path Delay (SPD) is commonly derived by multiplying Zenith Tropospheric Delay (ZTD) with a mapping function. However, mapping functions, assuming atmospheric isotropy, restrict the accuracy of derived SPDs. To improve the accuracy, a horizontal gradient correction is introduced to account for azimuth-dependent SPD variations, treating the atmosphere as anisotropic. This study uncovers that, amidst atmospheric dynamics and spatiotemporal changes in moisture content, the SPD deviates from that based on traditional isotropy or anisotropy assumption. It innovatively introduces the concept that SPD exhibits non-isotropy with respect to azimuth angles. Hypothesis validation involves assessing SPD accuracy using three mapping functions at five International GNSS Service (IGS) stations, referencing the SPD with the ray-tracing method. It subsequently evaluates the SPD accuracy with horizontal gradient correction based on Vienna Mapping Function 3 (VMF3) estimation. Lastly, the non-isotropic of SPD is analyzed through the ray-tracing method. The results indicate the smallest residual (1.1–82.7 mm) between the SPDs with VMF3 and those with the ray-tracing. However, introducing horizontal gradient correction yields no significant improvement of SPD accuracy. Considering potential decimeter-level differences in SPD due to non-isotropic tropospheric delay across azimuth angles, a precise grasp and summary of these variations is pivotal for accurate tropospheric delay modeling. This finding provides vital support for future high-precision tropospheric delay modeling.
对流层延迟是全球导航卫星系统(GNSS)定位的一个重要误差源。斜路径延迟(SPD)通常是通过将天顶对流层延迟(ZTD)与映射函数相乘得出的。然而,假设大气各向同性的映射函数限制了推导出的 SPD 的精度。为了提高精度,引入了水平梯度校正,将大气视为各向异性,以考虑与方位角有关的 SPD 变化。这项研究发现,在大气动力学和含水量的时空变化中,SPD 偏离了传统的各向同性或各向异性假设。它创新性地提出了 SPD 在方位角上表现出非各向同性的概念。假设验证包括在五个国际全球导航卫星系统服务(IGS)站点使用三种制图函数评估 SPD 精确度,并用射线追踪方法参考 SPD。随后,根据维也纳测绘函数 3(VMF3)的估算,通过水平梯度校正评估 SPD 的精度。最后,通过射线追踪法分析了 SPD 的非各向异性。结果表明,使用 VMF3 的 SPD 与使用光线追踪的 SPD 之间的残差(1.1-82.7 毫米)最小。然而,引入水平梯度校正并不能显著提高 SPD 的精度。考虑到各方位角非各向同性对流层延迟导致的 SPD 可能存在分米级的差异,准确把握和总结这些变化对于准确的对流层延迟建模至关重要。这一发现为未来高精度对流层延迟建模提供了重要支持。
期刊介绍:
Satellite Navigation is dedicated to presenting innovative ideas, new findings, and advancements in the theoretical techniques and applications of satellite navigation. The journal actively invites original articles, reviews, and commentaries to contribute to the exploration and dissemination of knowledge in this field.