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Kashima Ray-tracing Service (KARATS)On-line provision of total troposphere slant delay corrections for East Asian sites

机译:Kashima射线跟踪服务(Karats)在线提供全对流层对流层倾斜延迟矫正为东亚地点

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In recent years numerical weather models (NWM) have undergone an improvement of spatial and temporal resolution. This makes them not only useful for the computation of mapping functions but also allows slant troposphere delays from ray-tracing to be obtained. Such ray-traced troposphere corrections can be applied to GNSS by reduction of atmospheric path delays from code and phase observations. In order to obtain highly accurate troposphere slant delays the weather model needs to have a sufficiently high spatial and temporal resolution which reflects the complex weather situation at the concerned receiver locations. The meso-scale analysis model from the Japanese Meteorological Agency (JMA) with its three hourly time-update interval provides a good trade-off between the area which is covered by the model and its spatial resolution and thus has been chosen as input for the computation of the 4D refractivity field. As set of tools, named "Kashima Ray-tracing Tools" (KARAT) are capable of handling all necessary steps including NWM handling, ray-tracing and reduction of the original observations. In order to enable a large number of users to benefit from the use of ray-traced observations it was decided to provide the reduction of troposphere delays from user's observations files as a service. The National Institute of Information and Communications Technology (NICT) will launch the "Kashima Ray-tracing Service" (KARATS) in the last quarter of 2008, providing a web-based interface which enables the user to submit his RINEX data and receive the reduced observation files free of charge. Thus, we briefly discuss KARAT and its components and present how KARATS is planned to operate. Additionally we discuss how observations which have been reduced by ray-traced delays have to be handled in GNSS processing and we show how this strategy improves space geodetic estimates.
机译:近年来,数值天气模型(NWM)经历了改善空间和时间分辨率。这使得它们不仅可用于计算映射功能,而且还允许获得倾斜的对流层延迟来获得射线跟踪。这种射线描绘的对流层校正可以通过减少来自代码和相位观察的大气路径延迟来应用于GNSS。为了获得高精度的对流层倾斜延迟,天气模型需要具有足够高的空间和时间分辨率,这反映了有关接收器位置的复杂天气状况。日本气象局(JMA)的中音级分析模型及其三个小时时间更新间隔提供了模型覆盖的区域与其空间分辨率之间的良好权衡,因此已被选为输入4D折射率场的计算。作为一组工具,名为“Kashima射线跟踪工具”(KARAT)能够处理所有必要的步骤,包括NWM处理,射线跟踪和减少原始观测。为了使大量用户能够受益于使用射线跟踪观察,决定从用户的观察文件作为服务中的对流层延迟减少。国家信息和通信技术研究所(NICT)将在2008年的上季度推出“克什米纳射线追踪服务”(Karats),提供基于Web的界面,使用户能够提交他的Rinex数据并获得减少观察文件免费。因此,我们简要介绍了Karat及其组件,并展示了Karats如何计划运作。此外,我们讨论如何在GNSS处理中处理通过射线跟踪延迟减少的观察,并且我们展示了如何改善空间大地测量的策略。

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