Spatio-temporal interpolation of total electron content using a GPS network
Author
Deviren, M. N.
Arıkan, F.
Arıkan, Orhan
Date
2013Source Title
Radio Science
Print ISSN
0048-6604
Publisher
IEEE
Volume
48
Issue
3
Pages
302 - 309
Language
English
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Abstract
Constant monitoring and prediction of Space Weather events require investigation of the variability of total electron content (TEC), which is an observable feature of ionosphere using dual-frequency GPS receivers. Due to various physical and/or technical obstructions, the recordings of GPS receivers may be disrupted resulting in data loss in TEC estimates. Data recovery is very important for both filling in the data gaps for constant monitoring of ionosphere and also for spatial and/or temporal prediction of TEC. Spatial prediction can be obtained using the neighboring stations in a network of a dense grid. Temporal prediction recovers data using previous days of the GPS station in a less dense grid. In this study, two novel and robust spatio-temporal interpolation algorithms are introduced to recover TEC through optimization by using least squares fit to available data. The two algorithms are applied to a regional GPS network, and for a typical station, the number of days with full data increased from 68% to 85%.
Keywords
GPS network for monitoring of space weatherSpatio-temporal interpolation of TEC
Total electron content
Dual frequency
Least squares fit
Regional GPS networks
Space weather
Spatial prediction
Spatio-temporal interpolations
Temporal prediction
Total electron content
Algorithms
Interpolation
Ionosphere
Ionospheric measurement
Global positioning system