...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Atmospheric research >Ground-based GNSS ZTD/IWV estimation system for numerical weather prediction in challenging weather conditions
【24h】

Ground-based GNSS ZTD/IWV estimation system for numerical weather prediction in challenging weather conditions

机译：地面GNSS ZTD / IWV估算系统，用于在恶劣天气条件下进行数值天气预报

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The Global Navigation Satellite Systems (GNSS) are one of the very few tools that can provide continuous, unbiased, precise and robust atmosphere condition information. The extensive research of GNSS space-based segment (e.g. available precise, real-time satellite orbits and clocks), unlimited access to the ground-based Continuously Operating Reference Stations (CORS) GNSS networks along with the well established data processing methods provides an unprecedented opportunity to study the environmental impacts on the GNSS signal propagation. GNSS measurements have been successfully used in precise positioning, tectonic plate monitoring, ionosphere studies and troposphere monitoring. However all GNSS signals recorded on the ground by CORS are subject to ionosphere delay, troposphere delay, multipath and signal strength loss. Nowadays, the GNSS signal delays are gradually incorporated into the numerical weather prediction (NWP) models. Usually the Zenith Total Delay (ZTD) or Integrated Water Vapour (IWV) have been considered as an important source of water vapour contents and assimilated into the NWP models. However, successful assimilation of these products requires strict accuracy assessment, especially in the challenging severe weather conditions. In this study a number of GNSS signal processing strategies have been verified to obtain the best possible estimates of troposphere delays using a selection of International GNSS Service (IGS) orbit and clock products. Three different severe weather events (severe storm, flash flooding, flooding) have been investigated in this paper. The strategies considered are; 1) Double Differenced (DD) network solution with shortest baselines, 2) DD network solution with longest baselines, 3) DD baseline-by-baseline solution (tested but not considered), 4) Zero Differenced (ZD) Precise Point Positioning (PPP) based on ambiguity float solutions, all with precise orbits and clocks, and real time clocks and predicted orbits. The quality of the estimates obtained has been evaluated against radiosonde measurements, Automatic Weather Station (AWS) observations, NWP (assimilation step without ground-based GNSS data) and ZTD estimates from the well established IGS processing centre, the Center of Orbit Determination in Europe (CODE). It shows that the ZTD and WV estimates from the DD short baseline solution are robust with usually a very small bias ( - 2.7 to -0.8 mm) and errors of less than 10 mm (7.6-8.5) (ZTD) or 3 mm (2.6-2.7) (IWV). The DD short baseline network solution was found to be the most reliable method in the considered case studies, regardless of the type of orbits and clocks applied.
机译：全球导航卫星系统（GNSS）是为数不多的能够提供连续，无偏，精确和可靠的大气状况信息的工具之一。对GNSS天基段（例如可用的精确，实时卫星轨道和时钟）进行了广泛的研究，对地面连续操作参考站（CORS）GNSS网络的无限制访问以及完善的数据处理方法提供了前所未有的优势研究环境对GNSS信号传播的影响的机会。 GNSS测量已成功用于精确定位，构造板块监测，电离层研究和对流层监测。但是，CORS在地面上记录的所有GNSS信号都会受到电离层延迟，对流层延迟，多径和信号强度损失的影响。如今，GNSS信号延迟已逐渐纳入数值天气预报（NWP）模型中。通常，天顶总延迟（ZTD）或综合水蒸气（IWV）被认为是水蒸气含量的重要来源，并已被吸收到NWP模型中。但是，成功吸收这些产品需要严格的准确性评估，尤其是在严峻的恶劣天气条件下。在这项研究中，已使用多种国际GNSS服务（IGS）轨道和时钟产品，对许多GNSS信号处理策略进行了验证，以获得对流层延迟的最佳估计。本文研究了三种不同的严重天气事件（强风暴，山洪，洪水）。考虑的策略是； 1）基线最短的双差（DD）网络解决方案，2）基线最长的DD网络解决方案，3）DD逐基线基线解决方案（已测试但未考虑），4）零差（ZD）精确点定位（PPP） ）基于不确定性浮动解决方案，所有解决方案都具有精确的轨道和时钟，以及实时时钟和预测的轨道。已根据探空仪测量，自动气象站（AWS）观测，NWP（无地面GNSS数据的同化步骤）和来自完善的IGS处理中心，欧洲轨道确定中心的ZTD评估对评估的质量进行了评估。 （码）。它表明，DD短基线解决方案的ZTD和WV估计值是可靠的，通常具有非常小的偏差（-2.7至-0.8 mm），并且误差小于10 mm（7.6-8.5）（ZTD）或3 mm（2.6 -2.7）（IWV）。在所考虑的案例研究中，发现DD短基线网络解决方案是最可靠的方法，而与所应用的轨道和时钟的类型无关。

著录项

  • 来源
    《Atmospheric research》 |2014年第3期|414-426|共13页
  • 作者

    Witold Rohm; Yubin Yuan; Bertukan Biadeglgne; Kefei Zhang; John Le Marshall;

  • 作者单位

    RMIT University, SPACE Research Centre, GPO Box 2476 Melbourne, VIC 3001, Australia,Wroclaw University of Environmental and Life Sciences, Institute of Geodesy and Geoinformatics, Grunwaldzka 53, 50-357 Wroclaw, Poland;

    RMIT University, SPACE Research Centre, GPO Box 2476 Melbourne, VIC 3001, Australia;

    Australian Bureau of Meteorology, Melbourne, VIC, Australia;

    RMIT University, SPACE Research Centre, GPO Box 2476 Melbourne, VIC 3001, Australia;

    Australian Bureau of Meteorology, Melbourne, VIC, Australia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    ZTD/IWV estimation; GNSS meteorology; Verification;

    机译：ZTD / IWV估算;GNSS气象学;验证;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号