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      • Faculty of Engineering
      • Department of Electrical and Electronics Engineering
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      Spatio-temporal interpolation of total electron content using a GPS network

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      Author
      Deviren, M. N.
      Arıkan, F.
      Arıkan, Orhan
      Date
      2013
      Source Title
      Radio Science
      Print ISSN
      0048-6604
      Publisher
      IEEE
      Volume
      48
      Issue
      3
      Pages
      302 - 309
      Language
      English
      Type
      Conference Paper
      Article
      Item Usage Stats
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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 weather
      Spatio-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
      Permalink
      http://hdl.handle.net/11693/20891
      Published Version (Please cite this version)
      http://dx.doi.org/10.1002/rds.20036
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      • Department of Electrical and Electronics Engineering 3524
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