摘要
在GNSS定位的误差来源中,对流层延迟通常难以被彻底消除。因此,众多国内外学者针对对流层延迟改正模型进行了深入研究,并提出了诸多适用于全球范围内的对流层延迟改正模型。这些模型大致分为需要实测气象数据模型以及无需实测气象数据两大类,这两类模型中精度最高模型分别为Saastamoinen模型和GPT2w模型。利用中国地区8个IGS站的对流层延迟数据以及地面气象数据对以上2种模型的精度进行对比分析,结果表明两者的绝对偏差值仅在2 mm之内。
Tropospheric delay is usually difficult to eliminate completely among the sources of GNSS positioning errors.Therefore,many scholars at home and abroad have conducted in-depth research on tropospheric delay correction models,and put forward a number of tropospheric delay correction models suitable for the global scope.These models can be roughly divided into two categories,one is the model of actual meteorological data,the other is the mode requiring no measured meteorological data,respectively correspond Saastamoinen model and GPT2 w model.In this paper,we compared and analyzed the accuracy of the above two models by using the tropospheric delay data of eight IGS stations in China and the surface meteorological data.
出处
《地理空间信息》
2020年第12期81-83,96,I0006,共5页
Geospatial Information