...
首页> 外文期刊>Journal of Geophysical Research, A. Space Physics: JGR >Data Assimilation of Ground-Based GPS and Radio Occultation Total Electron Content for Global Ionospheric Specification
【24h】

Data Assimilation of Ground-Based GPS and Radio Occultation Total Electron Content for Global Ionospheric Specification

机译:基于地面GPS和无线电清层全局电离层规格的数据同化

获取原文
获取原文并翻译 | 示例
           

摘要

This study presents an approach based on the Gauss-Markov Kalman filter to assimilate the total electron content observed from ground-based GPS receivers and space-based radio occultation instrumentations (such as FORMOSAT-3/COSMIC (F3/C) and FORMOSAT-7/COSMIC-2 (F7/C2)) into the International Reference Ionosphere. Observing System Simulation Experiments (OSSEs) show that the data assimilation procedure consisting of the forecast and the measurement update steps can better improve the accuracy of the data assimilation analysis than the assimilation procedure using the measurement update alone. Compared with F3/C, the denser F7/C2 occultation observations can improve the analysis accuracy significantly as suggested by OSSEs. The real data assimilation results are further validated with global ionosphere maps, the global ground-based GPS measurements, and the ionospheric F_2 peak height and electron density sounded by ionosondes. Both the OSSEs and validation results confirm that a number of improvements to the data assimilation procedure presented in this paper can indeed be used to reconstruct the three-dimensional ionospheric electron density adequately.
机译:本研究提出了一种基于Gauss-Markov卡尔曼滤波器的方法,以吸收从基于地面的GPS接收器和基于空间的无线电介质仪器观察到的总电子含量(例如Formosat-3 / COSMIC(F3 / C)和Formosat-7 / COSMIC-2(F7 / C2))进入国际参考电离层。观察系统仿真实验(OSSES)表明,由预测和测量更新步骤组成的数据同化程序可以更好地提高数据同化分析的准确性,而不是单独使用测量更新的同化过程。与F3 / C相比,更密集的F7 / C2掩星观察可以显着提高分析准确性,如OSSES所示。实际数据同化结果进一步验证了全局电离层地图,全局基于地基GPS测量,电离层F_2峰值高度和电子密度被离子泡沫探测。 OSSES和验证结果都证实了本文提出的数据同化程序的多项改进,确实可以用于充分重建三维电离层电子密度。

著录项

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