论文标题
来自里斯本机场地区Scinda GNSS接收器提供的电离层参数数据集
Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area
论文作者
论文摘要
在这里，我们介绍由2014年11月至2019年7月在里斯本机场地区安装的Scinda GNSS接收器提供的数据集。安装的设备是带有Javad Choke-Ring天线的Novatel Euro4。 The data are in an archived format and include the general messages on quality of records (*.msg), RANGE files (*.rng), raw observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere scintillations monitor (ISMRB; *.ism) and ionospheric parameters: total electron content (TEC), TEC指数（ROTI）的变化速率和闪烁指数S4（*.scn）。提供的数据涵盖了整个2015年。原始数据分辨率为1分钟，可用于每个接收器 - 卫星对。可以使用T. Barlyaeva（2019）开发的MATLAB的特定“ scinda-iono”工具箱来完成电离层闪烁数据集的处理和分析，并通过Mathworks File Exchange System在线获得。该工具箱计算每个可用接收器 - 卫星对的电离层参数的1小时均值，并在分析的小时内在所有可用的卫星上平均。在这里，我们介绍了2015年接下来几个月的处理数据：3月，6月，10月和12月。选择月份是包含2015年最重要的地磁事件。其他月份可以使用上述工具箱从原始数据中获得1小时的手段。提供的数据集对于基于GNS和电离层的科学界来说很有趣。
Here we present datasets provided by a SCINDA GNSS receiver installed in the Lisbon airport area from November of 2014 to July of 2019. The installed equipment is a NovAtel EURO4 with a JAVAD Choke-Ring antenna. The data are in an archived format and include the general messages on quality of records (*.msg), RANGE files (*.rng), raw observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere scintillations monitor (ISMRB; *.ism) and ionospheric parameters: total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation index S4 (*.scn). The presented data cover the full 2015 year. The raw data are of 1-minute resolution and available for each of the receiver-satellite pairs. The processing and the analysis of the ionosphere scintillation datasets can be done using a specific "SCINDA-Iono" toolbox for the MATLAB developed by T. Barlyaeva (2019) and available online via MathWorks File Exchange system. The toolbox calculates 1-hour means for ionospheric parameters for each of the available receiver-satellite pairs and averaged over all available satellites during the analyzed hour. Here we present the processed data for the following months in 2015: March, June, October, and December. The months were selected as containing most significant geomagnetic events of 2015. The 1-hour means for other months can be obtained from the raw data using the aforementioned toolbox. The provided datasets are interesting for the GNSS and ionosphere based scientific communities.
