Total electron content models and their use in ionosphere monitoring
Total electron content models and their use in ionosphere monitoring
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DOI：
10.1029/2010rs004620
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发表时间：
2011-09-22
期刊：
影响因子：
1.6
通讯作者：
Wilken, V.
中科院分区：
文献类型：
--
作者：
Jakowski, N.;Mayer, C.;Wilken, V.
在使用L波段频率的全球导航卫星系统（GNSS）中，电离层导致的信号延迟相当于高达100米的链路相关距离误差。在双频测量中，这种误差可以通过L1和L2相位的线性组合来纠正，而在单频测量中，需要额外的信息来减轻电离层误差，电离层误差与电离层的总电子含量（TEC）成正比。从相应的GNSS测量或模型值推断出的TEC地图可以提供这一信息。除了导航和遥感应用中的直接距离误差校正外，TEC或电子密度模型在电离层监测和预报中起着关键作用。在本文中，我们讨论了TEC模型的发展和使用，用于校准TEC，重建可靠的TEC地图，以及基于GNSS测量预测TEC行为。欧洲和全球TEC地图和相应的1小时前预报通过业务空间天气和电离层数据服务（http://swaciweb.dlr.de）分发给国际社会。Neustrelitz TEC模型是用于不同类型应用的一系列区域和全球TEC模型的基本方法。该模式仅用几个系数近似典型的TEC变化，这取决于地点、时间和太阳活动水平。
In Global Navigation Satellite Systems (GNSS) using L band frequencies, the ionosphere causes signal delays that correspond to link-related range errors of up to 100 m. Whereas this error can be corrected in dual-frequency measurements by a linear combination of L1 and L2 phases, in single-frequency measurements, additional information is needed to mitigate the ionospheric error which is proportional to the total electron content (TEC) of the ionosphere. This information can be provided by TEC maps deduced from corresponding GNSS measurements or from model values. Besides direct range error correction in navigation and remote sensing applications, TEC or electron density models play a key role in ionospheric monitoring and forecasting. In this paper we discuss the development and use of TEC models for calibrating TEC, reconstructing reliable TEC maps, and forecasting TEC behavior based on GNSS measurements. European and global TEC maps and corresponding 1 h ahead forecasts are distributed via the operational space weather and ionosphere data service (http://swaciweb.dlr.de) to the international community. The Neustrelitz TEC Model is a basic approach for a family of regional and global TEC models used in different types of applications. The model approximates typical TEC variations depending on the location, time, and level of solar activity with only a few coefficients.