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Comparison of VTEC due to GPS and assimilation of the IRI-Plas model during a geomagnetic storm condition over Indian region

机译:印度地区地磁风暴条件下的GPS和IRI-PLAS模型的GPS和同化的比较

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Ionosphere is one of the largest sources of error for single frequency GNSS (Global Navigation Satellite Systems) users. The IRI-Plas is the widely used ionospheric and plasmaspheric climatic model for estimating VTEC (Vertical Total Electron Content) globally. This paper focuses on the performance of the IRI-Plas-2017 model with ingestion of GIM-TEC (Global Ionospheric Maps) input option at two low latitude stations, Hyderabad (Lat:17.2°N; Lon:78.5°E) and Bangalore (Lat: 12.9°N; Lon: 77.6°E) over the Indian region. The predicted TEC due to the model is compared with GPS TEC (Global Positioning System).The analysis is carried out for 7th, 8th and 9th September 2017 (Pre storm, Storm and post storm days). In this work, Symmetric Kullbacke Leibler Distance (SKLD), Cross Correlation (CC) coefficient and the metric norm (L2N) methods are used to evaluate the performance of IRI-Plas-TEC (with and without TEC input) with GPS TEC. From the results it is observed that TEC predicted by the assimilation option produced smaller estimation errors and substantial improvement of the model performance for ionospheric disturbances.
机译:电离层是错误的单频GNSS(全球导航卫星系统)用户的最大来源之一。的IRI-普拉斯是用于估计VTEC(垂直总电子含量)全球广泛使用的电离层和等离子体层气候模型。本文重点研究与GIM-TEC(全球电离层地图)输入选项的摄取的IRI-普拉斯-2017模型的性能在两个低纬度站,海得拉巴(纬度:17.2°N;经度:78.5°E)和班加罗尔(纬度:12.9°N;经度:77.6°E)在印度地区。由于该模型所预测的TEC与GPS TEC(全球定位系统)相比.The分析7进行 th ,8 th 9. th 2017年9月(预风暴,暴雨和风暴后天)。在这项工作中,对称Kullbacke Leibler距离(SKLD),互相关(CC)系数和所述度量标准(L2N)方法用于评估IRI-普拉斯-TEC(有和没有TEC输入)的性能与GPS TEC。从结果中可以观察到,TEC预测由同化选项生成较小的估计误差和电离层扰动模型性能的显着改善。

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