利用单站电离层测高仪与GPS数据的同化反演试验

利用测高仪和GPS观测数据进行了单站电离层电子密度廓线的同化反演实验,实验中设计了一套基于Kalman滤波的电离层数据同化系统,采用了水平和垂直方向可分离的高斯型误差协方差矩阵,利用IRI2000模式作为同化反演的背景场,分别使用了测高仪数据和GPS数据进行了单独同化反演和联合同化反演实验,结果显示：在各类同化参数不改变的情况下,单独利用GPS数据反演结果较好,不仅可以得到较为准确的TEC,电子密度廓线结果也有较好的提升;单独使用测高仪反演的结果较差,在峰高以下电子密度廓线和观测较一致,但峰高以上电子密度廓线和观测比较的结果较差,并且TEC结果和观测也有一定误差;而利用GPS和测高仪数据联合反演的结果最好,无论是反演的电子密度廓线还是TEC值都和观测最为接近.

Ionospheric Data Assimilation and Inversion Experiment with Using the Single lonosonde and GPS Data

This paper introduced the assimilation and inversion experiment of single station ionospheric electron density profile with using the ionosonde and GPS observation data. The experiments designed a set of ionospheric data assimilation system based on Kalman filter with using the horizontal and vertical direction separable gaussian error covariance matrix. The IRI2000 pattern was used as a background ionosphere of the experiments which respectively uses the ionosonde and GPS data of separate and joint. The results show that in the case of all kinds of assimilation parameters is settled, separately using GPS data inversion results is good, the TEC is more accurate, and the electron density profile results have good ascension. The ionosonde data inversion result is not so good, the electron density profile under the peak height is consistent with the observation, but the results high above the peak height have some deviation, and the TEC results also have some errors with the observation. The joint data inversion results is the best, both the inversion of electron density profile and the TEC values are close to the observation.