| 温度与天气对IGS跟踪站联测的残差影响分析 |
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| 引用本文： | 杨成林,徐白山,韩中含.温度与天气对IGS跟踪站联测的残差影响分析[J].全球定位系统,2019,44(3):126-130. |
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| 作者姓名： | 杨成林 徐白山 韩中含 |
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| 作者单位： | 东北大学 资源与土木工程学院,辽宁 沈阳 110819 |
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| 摘 要： | 针对一年中全球卫星导航系统(GNSS)服务(IGS)跟踪站联测残差影响较大等问题,总结平均温度变化、雨雪天气情况与IGS站联测残差的关系,判断影响IGS跟踪站联测残差的因素.适合我国境内及周边IGS站联测的基准站的稳定性检测,并使用标准化均方根误差平均值(NRMS)进行评价,在避免影响精度因素的情况下进行联测,提高精度.最后选取2018年CHAN站作为未知站点,对我国东北地区周边4个IGS站(BJFS、DAEJ、SHAO、ULAB)进行联测,利用GAMIT/GLOBK软件进行高精度基线处理,并选择2017年数据进行检核.实验结果表明平均温度变化与雨雪天气是影响IGS跟踪站联测残差的两项因素,平均温度与NRMS值呈负相关趋势,相关性大于60%.雨雪天气联测效果较差,较非雨雪天气NRMS值相差0.5mm左右,其中降雪天气联测精度最低,不建议雨雪天气进行联测任务.
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| 关 键 词： | IGS站 残差 GAMIT/GLOBK软件 雨雪天气 平均温度 NRMS |
Analysis of residual impact of temperature and weather on IGS station joint measurement |
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| YANG Chenglin,XU Baishan,HAN Zhonghan.Analysis of residual impact of temperature and weather on IGS station joint measurement[J].Gnss World of China,2019,44(3):126-130. |
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| Authors: | YANG Chenglin XU Baishan HAN Zhonghan |
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| Affiliation: | College of Resources and Civil Engineering,Northeastern University,Shenyang 110819,China |
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| Abstract: | Aiming at the problems of the GNSS service station (IGS tracking station) joint measurement residual impact in a year, the relationship between the weather conditions of average temperature change, rain and snow and IGS statio joint residual is summarized, and the factors affecting the joint measurement accuracy of IGS tracking station are judged. It is suitable for the stability test of the base stations in and around China, and the standardized root mean square error average (NRMS) is used to evaluate and improve the accuracy by avoiding the influence of precision factors. Finally, the CHAN station of 2018 is selected as the unknown site. The four IGS stations (BJFS, DAEJ, SHAO, ULAB) around the northeastern region of China are jointly tested. The GAMIT／GLOBK software is used for high-precision baseline processing, and the data of 2017 is selected to Check it out. The experimental results show that average temperature and rain and snow weather are two factors affecting the joint measurement residual of IGS tracking station. The average temperature and NRMS value are negatively correlated, and the correlation is greater than 60％. The combined effect of rain and snow weather is poor. Compared with non-rain and snow weather, the NRMS value is about 0.5 mm, and the combined accuracy of snowfall weather is the lowest. It is not recommended to conduct joint testing tasks in rain and snow. |
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| Keywords: | IGS station residual GAMIT/GLOBK software rain and snow weather average temperature NRMS |
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