测绘学报 ›› 2021, Vol. 50 ›› Issue (3): 285-294.doi: 10.11947/j.AGCS.2021.20200111

• 大地测量学与导航 •    下一篇

顾及层析区域外测站的GNSS水汽层析建模方法

赵庆志1, 姚宜斌2, 姚顽强1   

  1. 1. 西安科技大学测绘科学与技术学院, 陕西 西安 710054;
    2. 武汉大学测绘学院, 湖北 武汉 430079
  • 收稿日期:2020-03-29 修回日期:2020-06-30 发布日期:2021-03-31
  • 作者简介:赵庆志(1989-),男,副教授,GNSS数据处理及GNSS气象学研究。E-mail:zhaoqingzhia@163.com
  • 基金资助:
    陕西省自然科学基础研究计划(2020JQ-738);国家自然科学基金(41904036)

A method to establish the tomography model considering the data of GNSS stations outside the research area

ZHAO Qingzhi1, YAO Yibin2, YAO Wanqiang1   

  1. 1. College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China;
    2. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2020-03-29 Revised:2020-06-30 Published:2021-03-31
  • Supported by:
    The Natural Science Basic Research Project of Shaanxi (No. 2020JQ-738);The National Natural Science Foundation of China (No. 41904036)

摘要: 针对传统水汽层析技术无法利用层析区域外GNSS测站数据的现状,提出一种顾及层析区域外测站数据的三维水汽建模方法。基于GPT2w模型计算层析区域的水汽密度初始场,首先,引入比例系数并联合水汽密度初值确定该比例系数表达式;然后,估计层析区域外测站信号在区域内的水汽含量;最后,构建顾及层析区域外测站数据的水汽观测方程。本文方法能够有效利用层析区域外的测站数据,改善层析结果的精度和可靠性,但仅能利用层析区域外一定范围内的测站。选取浙江CORS网中24个GNSS测站和一个无线电探空站共23 d的数据进行验证。试验结果表明,相对于传统层析方法,本文方法的射线利用率和有射线穿过的体素数分别提高了26.8%和14.9%;以探空数据为参考基准,本文方法计算的IWV和水汽密度均优于传统方法。

关键词: GNSS, 无线电探空, 层析技术, GPT2w模型

Abstract: To overcome the phenomenon of the traditional tomography technique that cannot use the data of GNSS stations outside the research area, a novel three-dimensional water vapor tomography modeling considering the data of GNSS stations outside the research area is proposed. The initial water vapor field of tomographic area in each voxel was calculated based on the GPT2w model. The proportional coefficient is introduced and combined with the initial value of water vapor density to determine the proportional coefficient expression. The water vapor content of the signals in the tomography area from the stations outside this area is estimated. Finally, the water vapor observation equation considering the data from the GNSS stations outside the tomographic region is established. The proposed method can be used to utilize the GNSS observation efficiently and improve the accuracy of tomographic result, but it only validated to the GNSS stations located in a certain range outside the tomographic area. Twenty-four GNSS stations and one radiosonde station in Zhejiang CORS network were used to verify the proposed tomography model in this paper. The experimental results show that compared with the traditional chromatography method, the utilization rate of GNSS signals and the voxel number with signals passing through are increased by 26.8% and 14.9%, respectively. Taking the radiosonde data as reference, it is found that the accuracy of integrated water vapor and water vapor density profiles calculated by the proposed method are better than those calculated by the traditional method.

Key words: global navigation satellite system, radiosonde, tomography technique, GPT2w model

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