Ground GNSS Station Selection to Generate the Global Ionosphere Maps Using the Information Content
Ground GNSS Station Selection to Generate the Global Ionosphere Maps Using the Information Content
复制标题
DOI：
10.1029/2020sw002675
复制
发表时间：
2021-12
期刊：
影响因子：
--
通讯作者：
Sicheng Wang;Sixun Huang;H. Fang
中科院分区：
文献类型：
--
作者：
Sicheng Wang;Sixun Huang;H. Fang
世界各地的卫星星座和地面接收机越来越多，它们可以提供丰富的电离层遥感数据源。由于不同的分析中心使用不同的生成技术和不同的地面站，其常规发布的全球电离层图（GIMs）存在一些差异。为了研究在3DVAR数据同化的框架下，应选择多少台站和哪些台站产生GIMs的问题，提出了一种基于信息含量的逐级迭代方法。该方法采用信息量定性评价一次测量对重构GIM的信息贡献，并在每次迭代中选择信息量最大的地面站。2018年从DOY 001到DOY 120收集了来自国际GNSS服务网络和Multi - GNSS实验网络的约500台地面接收机，以证明该方法的可行性。结果表明，前100个入选台站的信息贡献率超过70%，前200个入选台站的信息贡献率高达87%。当站点选择准则占总信息量的95%时，重构每个GIM需要近300个站点。此外，还对GPS、GLONASS、GALILEO和北斗卫星星座的定量信息贡献进行了初步分析。
More and more satellite constellations and ground receivers are available all over the world, and they can provide rich ionospheric remote sensing data sources. Due to the fact that different analysis centers use different generation techniques and different ground stations, their routinely released Global Ionosphere Maps (GIMs) have some differences. To study the problems of how many stations and which stations should be optimally chosen to generate the GIMs, a step‐by‐step iterative method based on the information content is proposed under the framework of 3DVAR data assimilation. This method adopts the information content to qualitatively evaluate the information contribution of a measurement to the reconstructed GIM, and selects the ground station with a maximum information content in every iteration. About 500 ground receivers from the International GNSS Services networks and Multi‐GNSS Experiment networks are collected from DOY 001 to DOY 120 in 2018 to demonstrate the feasibility of this method. The results show that the information contribution from the first 100 selected stations is over 70%, and the information contribution from the first 200 chosen stations is up to 87%. When the station selection criterion is taken as 95% of the total information content, nearly 300 stations are needed to reconstruct each GIM. Moreover, the quantitative information contribution from GPS, GLONASS, GALILEO, and BEIDOU satellite constellations is preliminarily analyzed.