常用对流层延迟修正模型的适用性分析及精化

Applicability analysis and refinement of tropospheric delay correction models

针对不同对流层延迟模型的改正精度不同的问题,该文利用中国地区4个测站2015年的气象数据和天顶总延迟(ZTD)数据,研究了3种对流层延迟模型(萨斯塔莫宁(Saastamoinen)、SAAS和勃兰克(Black))在不同典型区域和不同季节的精度;在考虑Hopfield模型的纬度和周年周期特性的基础上,给出了一个新的HLD(Hopfield-Latitude-Day)模型。结果表明,3种经典模型中,Black模型的精度最高,SAAS模型次之,Hopfield模型最差。特别是在高海拔地区,以上特征更加明显。3种模型的数值精度均具有明显的季节性特征,冬季改正效果优于夏季。在低海拔地区,HLD模型的精度得到了明显提高,与同等条件下的3种经典模型相比,其精度分别提升了42.2%、40.2%和31.3%。

Aiming at the problem of different correction accuracy of different tropospheric delay models, the accuracy of three tropospheric delay models(Hopfield, SAAS and Black) in different typical regions and seasons was studied by using the meteorological data and zenith total delay(ZTD) data of four stations in China in 2015. Considering the latitude and annual period characteristics of Hopfield model, a new model called Hopfield-Latitude-Day model was given in this paper. The results showed that among the three classical models, Black model had the highest accuracy, SAAS model was the second, and Hopfield model was the worst. Especially in high altitude areas, the above characteristics were more obvious. The numerical accuracy of the three models had obvious seasonal characteristics, and the correction effect in winter was better than that in summer. Compared with the three classical models under the same conditions, the accuracy of HLD model was improved by 42.2%,40.2% and 31.3% respectively.