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On the possible contribution of ionospheric vertical drifts to TEC modelling in low latitudes

机译:关于电离层垂直漂移在低纬度地区造型的可能贡献

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摘要

A single station empirical total electron content (TEC) model based on the Global Navigation Satellite System (GNSS) data during 2001-2015 is presented over the African low latitude region. For the first time, we have investigated the contribution of ionospheric vertical drifts to TEC modelling by including vertical E×B drift generated from Communication/Navigation Outage and Forecasting System (C/NOFS) satellite data as an input along with diurnal variation, seasonal variation, solar activity and geomagnetic activity representations. The inputs were used to develop the neural network (NN) TEC model over Mbarara, MBAR (0.6°S, 30.74°E; 10.22°S geomagnetic) which was later validated on independent dataset that was selected from different solar activity periods. The model without vertical E×B drift as an input gave mean absolute error (MAE) of 4.013 TECU. Inclusion of the vertical E×B drift input reduced the MAE to 3.757 TECU equivalent to an average improvement of 6.4% in TEC modelling. The maximum improvement attained was around 13% during the high solar activity period. The correlation coefficient (R) values for models without and with vertical ExB drift input were 0.954 and 0.958 respectively. Our results show that availability of ionospheric vertical drift data has the potential of improving future TEC modelling in low latitude regions.
机译:在非洲低纬度地区介绍了基于2001 - 2015年全球导航卫星系统(GNSS)数据的单站经验总电子含量(TEC)模型。我们首次调查了电离层垂直漂移到TEC建模的贡献,包括从通信/导航中断和预测系统(C / NOFS)卫星数据作为输入以及季节变异,季节性变化的垂直E×B漂移,太阳能活动和地磁活动表示。输入用于通过Mbarara,MBara(0.6°S,30.74°E; 10.22°S的地磁)开发神经网络(NN)TEC模型,后来在从不同的太阳能期间选择的独立数据集上验证。没有垂直e×b的模型作为输入的输入给出了4.013 tecu的平均误差(mae)。包含垂直E×B漂移输入将MAE减少至3.757 TECU,其相当于TEC建模的平均提高6.4%。在高太阳能活动期间,达到的最大改善约为13%。模型的相关系数(R)值,垂直EXB漂移输入分别为0.954和0.958。我们的结果表明,电离层垂直漂移数据的可用性具有改善低纬度地区未来TEC造型的潜力。

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