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Establishment of a Site-Specific Tropospheric Model Based on Ground Meteorological Parameters over the China Region

机译:基于中国地区地面气象参数的对流层对流层模型的建立

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摘要

China is a country of vast territory with complicated geographical environment and climate conditions. With the rapid progress of the Chinese BeiDou satellite navigation system (BDS); more accurate tropospheric models must be applied to improve the accuracy of navigation and positioning. Based on the formula of the Saastamoinen and Callahan models; this study develops two single-site tropospheric models (named SAAS_S and CH_S models) for the Chinese region using radiosonde data from 2005 to 2012. We assess the two single-site tropospheric models with radiosonde data for 2013 and zenith tropospheric delay (ZTD) data from four International GNSS Service (IGS) stations and compare them to the results of the Saastamoinen and Callahan models. The experimental results show that: the mean accuracy of the SAAS_S model (bias: 0.19 cm; RMS: 3.19 cm) at all radiosonde stations is superior to those of the Saastamoinen (bias: 0.62 cm; RMS: 3.62 cm) and CH_S (bias: −0.05 cm; RMS: 3.38 cm) models. In most Chinese regions; the RMS values of the SAAS_S and CH_S models are about 0.51~2.12 cm smaller than those of their corresponding source models. The SAAS_S model exhibits a clear improvement in the accuracy over the Saastamoinen model in low latitude regions. When the SAAS_S model is replaced by the SAAS model in the positioning of GNSS; the mean accuracy of vertical direction in the China region can be improved by 1.12~1.55 cm and the accuracy of vertical direction in low latitude areas can be improved by 1.33~7.63 cm. The residuals of the SAAS_S model are closer to a normal distribution compared to those of the Saastamoinen model. Single-site tropospheric models based on the short period of the most recent data (for example 2 years) can also achieve a satisfactory accuracy. The average performance of the SAAS_S model (bias: 0.83 cm; RMS: 3.24 cm) at four IGS stations is superior to that of the Saastamoinen (bias: −0.86 cm; RMS: 3.59 cm) and CH_S (bias: 0.45 cm; RMS: 3.38 cm) models.
机译:中国是一个幅员辽阔的国家,地理环境和气候条件复杂。随着中国北斗卫星导航系统(BDS)的飞速发展;必须使用更精确的对流层模型来提高导航和定位的准确性。基于Saastamoinen和Callahan模型的公式;这项研究使用2005年至2012年的探空仪数据为中国地区开发了两个单点对流层模型(分别称为SAAS_S和CH_S模型)。我们使用2013年的探空仪数据和天顶对流层延迟(ZTD)数据评估了两个单点对流层模型。来自四个国际GNSS服务(IGS)站的数据,并将它们与Saastamoinen和Callahan模型的结果进行比较。实验结果表明:在所有探空仪站上,SAAS_S模型的平均精度(偏差:0.19 cm; RMS:3.19 cm)优于Saastamoinen(偏差:0.62 cm; RMS:3.62 cm)和CH_S(偏差) :-0.05厘米; RMS:3.38厘米)模型。在大多数中国地区; SAAS_S和CH_S模型的RMS值比其相应源模型的RMS值小约0.51〜2.12 cm。与低纬地区的Saastamoinen模型相比,SAAS_S模型在准确性上有明显的提高。在GNSS定位中将SAAS_S模型替换为SAAS模型时;中国地区垂直方向平均精度可提高1.12〜1.55 cm,低纬度地区垂直方向平均精度可提高1.33〜7.63 cm。与Saastamoinen模型的残差相比,SAAS_S模型的残差更接近于正态分布。基于短期最新数据(例如2年)的单点对流层模型也可以达到令人满意的精度。 SAAS_S模型在四个IGS站的平均性能(偏差:0.83 cm; RMS:3.24 cm)优于Saastamoinen(偏差:−0.86 cm; RMS:3.59 cm)和CH_S(偏差:0.45 cm; RMS) :3.38厘米)型号。

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