Spherical cap harmonic model for mapping and predicting regional TEC |
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| Authors: | Jingbin Liu Ruizhi Chen Zemin Wang Hongping Zhang |
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| Institution: | (1) Department of Navigation and Positioning, Finnish Geodetic Institute, 02431 Masala, Finland;(2) Chinese Antarctic Center of Surveying and Mapping, Wuhan University, Wuhan, 430079, China;(3) State Key laboratory Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China |
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| Abstract: | An approach to modeling the regional ionospheric total electron content (TEC) based on spherical cap harmonic analysis is
presented. This approach not only provides a better regional TEC mapping accuracy, but also the capability for ionospheric
model prediction based on spectrum analysis and least squares collocation. Unlike conventional approaches, which predict the
immediate TEC with models using current observations, the spherical cap harmonic approach utilizes models using past observations
to predict a model which will provide future TEC values. A significant advantage in comparison with conventional approaches
is that the spherical cap harmonic approach can be used to predict the long-term TEC with reasonable accuracy. This study
processes a set of GPS data with an observation time span of 1 year from two GPS networks in China. The TEC mapping accuracy
of the spherical cap harmonic model is compared with the polynomial model and the global ionosphere model from IGS. The results
show that the spherical cap harmonic model has a better TEC mapping accuracy with smoother residual distributions in both
temporal and spatial domains. The TEC prediction with the spherical cap harmonic model has been investigated for both short-
and long-term intervals. For the short-term interval, the prediction accuracies for the latencies of 1-day, 2-days, and 3-days
are 2.5 TECU, 3.5 TECU, and 4.5 TECU, respectively. For the long-term interval, the prediction accuracy is 4.5 TECU for a
2-month latency. |
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