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Retrieval of Tropospheric Refractivity Profiles Using Slant Tropospheric Delays Derived From a Single Ground‐Based Global Navigation Satellite System Station

机译:使用倾斜的全球导航卫星系统站使用倾斜的对流层延迟检索对流层折射率曲线

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The Global Navigation Satellite System (GNSS) has proved to be a powerful tool for applications in meteorology. In this study, we propose a novel slant tropospheric delay (STD) model to obtain the vertical distribution of atmospheric refractivity based on a single ground‐based GNSS receiver. The new model is used to convert the STD into a function of the vertical gradient of temperature, and it is divided into two layers (above and below the tropopause) for integration. The optical vertical gradient of temperature can be estimated according to the STD obtained from the GNSS observations from a higher satellite elevation angle. The distribution of atmospheric refractivity can then be derived from the vertical gradient of temperature and the surface atmospheric refractivity. Moreover, to further improve the accuracy of the STD model‐derived atmospheric refractivity, we correct it using a “theoretical retrieval” method based on the STDs obtained at a lower elevation angle. The optical ranges of theoretical retrieval are obtained above and below 5?km. Finally, a search is performed for the value of atmospheric refractivity that best fits the model equations, and this value is taken as the final inversion result. Data collected from eight GNSS stations and nearby radiosonde stations in 2016 were used to verify the new method. Using the radiosonde‐derived values as a reference, the accuracy of the STD model‐derived atmospheric refractivity was improved by 13.4% compared with the traditional technique. In addition, again using the radiosonde‐derived values as a reference, the accuracy of the atmospheric refractivity derived with the optically corrected method was improved by 20.4% compared with the uncorrected STD model.
机译:全球导航卫星系统(GNSS)已被证明是气象中应用的强大工具。在本研究中,我们提出了一种新颖的倾斜式延迟(STD)模型,以基于单个地基GNSS​​接收器获得大气折射率的垂直分布。新模型用于将STD转换为温度垂直梯度的函数,并且它分为两层(上方和对象地下的对象)进行集成。可以根据从更高卫星仰角获得的GNSS观察结果获得的STD来估计温度的光学垂直梯度。然后可以从温度和表面大气折射率的垂直梯度衍生大气折射率的分布。此外,为了进一步提高STD模型推导的大气折射率的准确性,我们使用基于在较低仰角获得的STD的“理论检索”方法来校正它。理论检索的光学范围以上和低于5Ωkm。最后,对最佳适合模型方程的大气折射率值执行搜索,并且该值被视为最终的反转结果。 2016年从8个GNSS站和附近的无线电电站收集的数据用于验证新方法。与传统技术相比,使用无线电探测值衍生值作为参考,STD模型衍生的大气折射率的准确性提高了13.4%。另外,与未经校正的STD模型相比,再次使用可无线电衍生值作为参考的作为参考,衍生与光学校正法的大气折射率的精度提高了20.4%。

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