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Measuring Tropospheric Delay from a Floating GPS Receiver

机译:测量浮动GPS接收器的对流层延迟

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Obtaining accurate measurements of atmospheric water vapour content and its variability is important for both meteorological applications and climate research. During the last decade considerable research has been carried out to develop a technique of estimating tropospheric delay using static GPS. The tropospheric delay estimates can then be converted into estimates of atmospheric water vapour, which can be used in weather prediction models. It has been shown that it is possible to obtain estimates of atmospheric water vapour using static GPS to within 1-2 kg/m{sup}2 of WVR and radiosonde measurements (Rocken et al, 1997, Dodson and Baker, 1998a). It would be beneficial to extend this technique so that tropospheric delay can be estimated using moving GPS receivers. Estimates of tropospheric delay, and hence atmospheric water vapour, could then be obtained from offshore locations, which would provide a valuable calibration tool for Space Based WVRs, and allow much higher temporal resolution of atmospheric water vapour. Removing the tropospheric delay from the GPS observations may also improve the accuracy of the position estimates that can be obtained from kinematic processing over baselines where the atmospheric conditions are different at each end. This could be useful for wide area networks (e.g. WAAS, EGNOS) where inaccuracies in the tropospheric model used might otherwise cause significant range and positioning errors (Dodson et al, 1999a). A technique known as the Horizontal Constraint Method was developed in Dodson et al (1999b), and this was shown to give tropospheric delay estimates at a moving receiver that were of a comparable accuracy to those obtained from the static GPS technique. This paper describes new work that has been performed to verify if the findings of Dodson et al (1999b) could be reproduced in a more dynamic environment and for longer baseline lengths. The results show that the accuracy of tropospheric delay estimates using static GPS can also be obtained using GPS data from a moving receiver, even if the baseline length is such that atmospheric conditions at the rover are different to those at the base.
机译:获得大气水蒸气含量的精确测量及其可变性对于气象应用和气候研究都很重要。在过去十年中,已经进行了大量的研究,以制定使用静态GPS估算对流层延迟的技术。然后可以将对流层延迟估计转换为大气水蒸气的估计,可用于天气预报模型。已经表明,可以使用静态GPS在WVR和无线电探测器测量的1-2kg / m {sup} 2内获得大气水蒸气的估计(Rocken等,1997,Dodson和Baker,1998a)。扩展该技术是有益的,使得可以使用移动的GPS接收器估计对流层延迟。然后可以从海上地点获得对流层延迟,以及大气水蒸气的估计,这将为基于空间的WVR提供有价值的校准工具,并允许大气水蒸气的时间更高的时间分辨率。从GPS观察中移除对流层延迟也可以提高可以通过在每个端的大气条件不同的基线上的运动学加工中获得的位置估计的准确性。这对广域网(例如WAAS,EGNOS)有用,其中使用的对流层模型中的不准确性可能会导致显着的范围和定位错误(Dodson等,1999a)。在Dodson等人(1999b)中开发了一种称为水平约束方法的技术,并显示出在移动接收器中为从静态GPS技术获得的那些具有可比精度的移动接收器中的对流层延迟估计。本文介绍了以验证DoDson等人(1999b)的发现,以验证的新工作是否可以在更具动态环境中再现,并且用于较长的基线长度。结果表明,即使基线长度使得漫游者处的大气条件与基部处的大气条件不同,也可以利用来自移动接收器的GPS数据来获得使用静态GPS的对流层延迟估计的准确性。

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