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首页> 外文期刊>Journal of Geophysical Research, D. Atmospheres: JGR >An evaluation of the expression of the atmospheric refractivity for GPS signals
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An evaluation of the expression of the atmospheric refractivity for GPS signals

机译:评估大气的表达折射率对GPS信号

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摘要

An expression is derived from first principles for the refractivity of air at L band frequencies, which includes GPS, as well as other GNSS satellite radionavigation signals. Under conditions of pressure, temperature, and moisture content found in the Earth's atmosphere, the expression has an average relative error of approximately 0.01%. This level of accuracy is required to guarantee that the expression does not introduce bias, when it is used within the context of Numerical Weather Prediction (NWP) applications. The thermodynamic dependences of the air's refractivity N are revisited, and the possible sources of uncertainty are analyzed. A first principles microphysical model is constructed, which relates the refractivity at L band frequencies with several measurable properties of matter. The experimental values that are critical for this purpose are already available in the literature and are of high accuracy. Based on this model, a simple expression suitable for atmospheric and weather applications is proposed: N (n – 1) 106 =(1 + 10/6 No) where N_0 = (222.682 + 0.069 t) pd + (6701.605 + 6385.886 r) p_w with pd and p_w as the densities of dry air and water vapor in the air (kg/m3), T = 273.15/T– 1, and T as the absolute temperature in K. The dependence of the coefficients in the expression with respect to the input physical parameters is analyzed. Given the error of the experimental parameters, it is concluded that the proposed expression improves the accuracy to meet the needs of NWP applications.
机译:一个表达式是来自第一原则空气的折射率在L波段的频率,其中包括GPS,以及其他GNSS吗卫星无线电导航信号。环境的压力,温度和水分地球大气层中发现的内容,平均相对误差表达式大约0.01%。需要保证表达式不引入偏见,当内使用数值天气预报(NWP)应用程序。空气的折射率N是重新审视,可能的来源的不确定性进行了分析。第一原理微观物理学的模型构造,这与折射率在L乐队和几个可衡量的频率物质的性质。,为此已经至关重要在文学和高可用准确性。表达式适用于大气和天气提出了应用程序:N (N - 1) 106 = (1 +没有10/6)N_0 = (222.682 + 0.069 t) pd +(6701.605 + 6385.886 r)与pd和p_w p_w干燥的空气和水蒸气的密度空气(公斤/立方米),T = 273.15 / T - 1,和T绝对温度的依赖性对系数的表达式输入物理参数进行了分析。实验参数的误差,它是得出结论,该表达式可以提高数值天气预报的精度来满足需求应用程序。

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