基于GGOS Atmosphere数据的ZHD模型精度分析

对流层天顶干延迟(ZHD)建模是对流层延迟建模的一个重要组成部分,由于ZHD变化较为规律,因此,通常用模型来表达。而对流层天顶湿延迟(ZWD)变化不规则且随机性大,所以在GNSS处理中将它作为一个未知的待估参数。不精确的ZHD模型,会影响到ZWD估算的准确性,因此,选择精确合理的ZHD模型具有重要的意义。传统无线电探空仪数据获取的ZHD由于不能覆盖全球所有位置,尤其是海洋地区,而且在特殊天气使用也受限。为了更能全面反映ZHD模型的精度,本文尝试使用GGOS Atmosphere数据比较分析3种经典ZHD模型、即Saastamoinen模型、Hopfield模型和Black模型。通过对全球范围内的657个站点且时间覆盖长达5年的GGOS Atmosphere数据进行比较分析,我们得到以下结论:Saastamoinen模型优于Hopfield模型和Black模型,Saastamoinen模型的ZHD的精度可以优于1.5 mm。因此,在GNSS用户使用ZHD模型时,Saastamoinen模型可以作为使用模型。具体可以应用到GNSS大地测量学、GNSS车辆导航定位以及GNSS气象学。

An Analysis on ZHD Models' Accuracy Based on the GGOS Atmosphere Data

Zenith hydrostatic delay (ZHD) modeling is an important part of troposphere delay modeling,for ZHD change therefore typically and use models to express.The tropospheric zenith wet delay (ZWD) did not change rules and random,so ZWD in GNSS processing will it as an unknown parameters to be estimated.Accurate ZHD model has important significance for ZWD estimation.Imprecise ZHD models can affect the accuracy of ZWD estimation.Therefore,it is of great significance to select a reasonable ZHD model.ZHD for Conventional radiosonde data acquisition because cannot cover all global position,especially marine areas,but also in special weather it is limited to use.In order to more fully reflect the accuracy of the ZHD model,this paper attempts to use Atmosphere GGOS data to compare and analyze three classical ZHD models,namely,Saastamoinen model,Hopfield model and Black model.Through worldwide 657 sites with time coverage up to 5 years of GGOS atmosphere data analysis and comparison.We get the following conclusions:Saastamoinen model is better than to than that of Hopfield model and black model,ZHD Saastamoinen model accuracy can be less than 1.5 mam.Therefore,when GNSS users use ZHD model,the Saastamoinen model can be used as a model.The Saastamoinen model can be applied to GNSS geodesy,GNSS vehicle navigation and meteorology GNSS.