电离层多源数据同化方法研究  

Research on ionospheric multisource data assimilation method

作　　者：欧明[1,2] 甄卫民[2] 徐继生[1] 於晓[1,2] 张风国[2] 邓忠新[2] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430079 [2]中国电波传播研究所,山东青岛266107

出　　处：《电波科学学报》2015年第1期147-152,共6页Chinese Journal of Radio Science

基　　金：科技部国际科技合作专项(2011DFA-22270);地震预测所基本科研业务专项(2012IES0203)

摘　　要：多源数据同化是实现电离层天气现报和预报的重要途径.选择参数化电离层模型作为背景模型,基于地基全球卫星导航系统(Global Navigation Satellite System,GNSS)观测以及第二代气象/电离层气候卫星探测系统(Constellation Observing System for Meteorology Ionosphere and Climate 2,COSMIC 2)掩星测量,利用经验电离层模型NeQuick计算得到多源观测数据,结合水平和垂直方向分离的高斯型协方差矩阵及卡尔曼滤波方法实现了中国区域电离层多源数据同化反演.同化结果表明,多源数据同化方法能将观测资料有效地同化到背景模式中从而获得较好的同化结果.与背景模式相比,同化后得到的电离层总电子含量及电子密度误差均显著下降.Multisource data assimilation is an important way which can be used for ionospheric weather nowcast and forecast.In this paper,parameterized ionospheric model(PIM)is chosen to be the background model as well as NeQuick model output is utilized to be the observations of the ground-based GNSS and COSMIC 2occultation measurements.Error covariance matrix which spatial correlations are separable horizontally is given by a Gaussian in geophysical coordination.Kalman filter is used for ionospheric multisource data assimilation in China region.Assimilation results show that it can obtain a good estimation of total electron content(TEC)and ionospheric electron density(IDE)by ingesting the multisource data into the background model.The error of the TEC and IDE are significantly reduced after multisource data assimilation.

关 键 词：电离层 地基GNSS COSMIC 2 掩星 数据同化 

分 类 号：P352[天文地球—空间物理学]