利用多源数据构建全球天顶对流层延迟模型

发布时间：2018-02-13 11:34

本文关键词： 对流层延迟 GGOS Atmosphere 短周期特征多源模型区域增强　出处：《科学通报》2016年24期 　论文类型：期刊论文

【摘要】：对流层延迟是无线电大地测量技术中的重要误差源,目前常用的对流层模型的建立均是基于单一数据源.本文按照直接对天顶对流层延迟建模的思路,采用格网化的GGOS Atmosphere的对流层数据和离散的IGS对流层产品联合建模,在利用IGS的高采样率对流层产品分析天顶对流层延迟的短周期变化特征的基础上,构建了一个多源数据的全球天顶对流层延迟模型.经过检验,多源模型的内符合精度为3.6 cm,表现出良好的拟合效果.使用未参与建模的IGS站进行外符合检验,统计结果显示多源模型的全球平均bias为?0.31 cm,全球平均RMS为4.16 cm,明显优于GZTD模型(bias为?0.48 cm;RMS为4.46 cm),且与目前精度最高的GPT2w模型(bias为?0.04 cm;RMS为4.14 cm)精度相当.多源模型的改正精度在空间和时间上具有良好的稳定性,同时多源模型在有IGS站支持的地区改正效果明显优于GZTD和GPT2w模型.多源模型具有全球适用、区域增强的优点.
[Abstract]:Tropospheric delay is an important error source in radio geodetic technology, and the commonly used tropospheric model is based on a single data source. In this paper, the tropospheric data of GGOS Atmosphere and discrete IGS tropospheric products are combined to model the model. Based on the analysis of the short-period variation characteristics of tropospheric delay in zenith troposphere by IGS's high-sampling rate tropospheric products, the model is presented. A global zenith tropospheric delay model with multi-source data is constructed. The internal coincidence accuracy of the multi-source model is 3.6 cm, which shows a good fitting effect. An external coincidence test is performed using a IGS station that is not involved in the modeling. The statistical results show that the global average bias of the multi-source model is? The global average RMS is 4.16 cm, which is better than that of GZTD model. The RMS of 0.48 cm ~ (-1) is 4.46 cm ~ (-1), which is higher than that of the GPT2w model with the highest precision at present. The correction accuracy of the multi-source model is good in space and time, and the correction effect of the multi-source model in the area supported by IGS station is obviously better than that of the GZTD and GPT2w models. The advantages of regional enhancement.
【作者单位】：武汉大学测绘学院;武汉大学地球空间环境与大地测量教育部重点实验室;
【基金】：国家自然科学基金(41274022,41574028) 湖北省杰出青年科学基金(2015CFA036)资助
【分类号】：P228

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