GNSS water vapour tomography - Expected improvements by combining GPS, GLONASS and Galileo observations
GNSS water vapour tomography - Expected improvements by combining GPS, GLONASS and Galileo observations
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DOI：
10.1016/j.asr.2010.09.011
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发表时间：
2011-03-01
影响因子：
2.6
通讯作者：
Raabe, Armin
中科院分区：
文献类型：
--
作者：
Bender, Michael;Stosius, Ralf;Raabe, Armin
德国地球科学研究中心使用约350个德国全球导航卫星系统站运行全球导航卫星系统水蒸气层析成像系统。全球导航卫星系统在GFZ的数据处理工作几乎是实时的，并在业务上提供天顶总延迟、综合水蒸气和倾斜延迟数据。这个每小时超过50,000个倾斜延迟的大型数据集通过层析成像技术用于重建空间分辨的湿度场。可以预期，来自未来伽利略系统的更多观测将提供更多的信息，并提高质量。因此，2009年7月14日开始了一项为期12小时的模拟研究，以估计全球定位系统、伽利略系统和全球导航卫星系统数据对全球导航卫星系统层析成像的影响。结果表明，通过结合两个或三个卫星系统的观测，倾斜路径大气的空间复盖率得到了极大的改善。对于可靠的层析重建来说，同样重要的是倾斜路径交叉点的分布，因为它们需要定位集成延迟信息。如果将两个或三个系统组合在一起，交点的数量可以增加到原来的4倍或8倍，并且它们的分布将覆盖更大的大气区域。组合后的数据集可用于将重建的湿度场的时空分辨率提高到水平30公里、垂直300米和15分钟。使用目前可用的技术不能显著提高重建质量。(C)2010年空间研委会。爱思唯尔有限公司出版。保留所有权利。
The German Research Centre for Geosciences (GFZ) operates a GNSS water vapour tomography system using about 350 German GNSS stations. The GNSS data processing at the GFZ works in near real-time and provides zenith total delays, integrated water vapour and slant delay data operationally. This large data set of more than 50,000 slant delays per hour is used to reconstruct spatially resolved humidity fields by means of tomographic techniques. It can be expected that additional observations from the future Galileo system provide more information with improved quality. A simulation study covering 12 h at 14 July 2009 was therefore started to estimate the impact of GPS, Galileo and GLONASS data on the GNSS tomography. It is shown that the spatial coverage of the atmosphere with slant paths is highly improved by combining observations from two or three satellite systems. Equally important for a reliable tomographic reconstruction is the distribution of slant path intersections as they are required to locate the integrated delay information. The number of intersection points can be increased by a factor of 4 or 8 if two or three systems are combined and their distribution will cover larger regions of the atmosphere. The combined data sets can be used to increase the spatiotemporal resolution of the reconstructed humidity fields up to 30 km horizontally, 300 m vertically and 15 min. The reconstruction quality could not be improved considerably using the currently available techniques. (C) 2010 COSPAR. Published by Elsevier Ltd. All rights reserved.