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System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals

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doi.org2025-03-24 收录
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http://doi.org/10.17632/jbx98yscmd.1
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System for Rapid Analysis of Ionospheric Dynamics based on GNSS TEC Signals (S-RAID) performs downloading, parsing, and processing of Global Navigation Satellite System (GNSS) signal measurements and their geometry of observations, calculation of slant and vertical total electron contents (sTEC and vTEC) and subsequent visualization for selected band-passes of fluctuations with periods shorter than two hours. In a routine operation, the System processes 15/30 sec GNSS signal measurements over Continental United States (CONUS) from ~2700 stations. Raw GNSS signal measurements are collected from public archives, including The Crustal Dynamics Data Information System (CDDIS), EarthScope/UNAVCO, National Oceanic and Atmospheric Administration (NOAA), and Scripps Institution of Oceanography's Orbit and Permanent Array Center (SOPAC). The System is oriented towards rapid access to GNSS sTEC/vTEC data for the investigation of traveling ionospheric disturbances (TIDs) of various nature, from large scale TIDs to irregularities of ~10s of km and minutes of periods, in particular those driven by atmospheric acoustic and gravity wave dynamics. The details of data processing methodology are provided the section Steps to Reproduce below, and in (2) and Supporting Information to it. Currently, this archive provides an access to high-resolution visualization of processed vTEC mapped over CONUS for years 2017-2023. The structure of the archive: /YYYY/MM/DD/animation.mp4, where YYYY - year, MM - month, DD - day of month, animation.mp4 - temporally evolving visualization of processed vTEC (see Steps to Reproduce for the details of data processing methodology). To reference the archive or the methodology for data processing, we suggest to: (1) Cite this archive by its DOI: 10.17632/jbx98yscmd.1, and/or (2) Cite Inchin, P. A., et al. (2023). Multi-layer evolution of acoustic-gravity waves and ionospheric disturbances over the United States after the 2022 Hunga Tonga volcano eruption. AGU Advances, 4. https://doi.org/10.1029/2023AV000870. Being processed in an automated regime, the visualizations may contain errors and bugs and thus should be used with caution as is. If you encounter any issues or wish to obtain data for animation replication, contact Inchin P.A. inchinp@erau.edu, inchinpa@gmail.com, J.B. Snively snivelyj@erau.edu or M.D. Zettergren zettergm@erau.edu. Research is supported by DARPA Cooperative Agreement HR00112120003. This work is approved for public release; distribution is unlimited. The content of the information does not necessarily reflect the position or the policy of the Government, and no official endorsement should be inferred.

基于全球导航卫星系统(GNSS)电离层总电子含量(TEC)信号的系统快速分析电离层动力学(S-RAID)执行GNSS信号测量及其观测几何的下载、解析和处理,计算斜向和垂直总电子含量(sTEC和vTEC),并对选定通带内周期短于两小时的波动进行后续的可视化。在日常操作中,该系统处理来自美国大陆(CONUS)的约2700个站点的15/30秒GNSS信号测量。原始GNSS信号测量数据从公共档案收集,包括地壳动力学数据信息系统(CDDIS)、地球科学/UNAVCO、国家海洋和大气管理局(NOAA)以及斯克里普斯海洋研究所轨道和永久阵列中心(SOPAC)。该系统旨在快速获取GNSS sTEC/vTEC数据,以研究各种性质的移动电离层扰动(TIDs),从大规模TIDs到周期约为数十千米和分钟的扰动,特别是那些由大气声波和重力波动力学驱动的扰动。数据处理的详细方法见以下“重现步骤”部分,以及(2)和其补充信息部分。 目前,该档案提供2017-2023年对美国大陆(CONUS)映射处理后的高分辨率vTEC可视化的访问。 档案结构: /YYYY/MM/DD/animation.mp4,其中YYYY代表年份,MM代表月份,DD代表月份中的某一天,animation.mp4代表处理后的vTEC随时间演化的可视化(详细的数据处理方法见“重现步骤”)。 为引用该档案或数据处理方法,我们建议:(1)通过其DOI引用此档案:10.17632/jbx98yscmd.1,或(2)引用Inchin, P. A.等(2023)发表的论文:《2022年洪加托纳火山爆发后美国上空的声重力波和电离层扰动的多层演化》。AGU Advances,4。https://doi.org/10.1029/2023AV000870。 由于自动化处理,可视化可能存在错误和缺陷,因此应谨慎使用。如遇任何问题或需要获取用于动画复制的数据,请联系Inchin P.A. inchinp@erau.edu,inchinpa@gmail.com,J.B. Snively snivelyj@erau.edu或M.D. Zettergren zettergm@erau.edu。 研究得到DARPA合作协议HR00112120003的支持。本工作已获准公开发布;分发不受限制。信息内容并不一定反映政府的立场或政策,且不应推断出官方认可。
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搜集汇总
背景与挑战
背景概述
该数据集基于GNSS TEC信号,提供美国大陆区域2017-2023年的电离层动力学快速分析系统(S-RAID),专注于计算和可视化垂直总电子含量(vTEC)以研究电离层扰动。数据来源于多个公共GNSS测量档案,支持对声波和重力波驱动的电离层不规则性的研究,并以动画形式呈现高分辨率vTEC映射。
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