Title of article
Modeling medium-scale TEC structures, observed by Belgian GPS receivers network Original Research Article
Author/Authors
I. Kutiev، نويسنده , , P. Marinov، نويسنده , , S. Fidanova، نويسنده , , R. Warnant، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2009
Pages
8
From page
1732
To page
1739
Abstract
GALOCAD project “Development of a Galileo Local Component for the nowcasting and forecasting of atmospheric disturbances affecting the integrity of high precision Galileo applications” aims to perform a detailed study on ionospheric small- and medium-scale structures and to assess the influence of these structures on the reliability of Galileo precise positioning applications. GPS-derived TEC (total electron content) is obtained from the Belgium Dense Network (BDN), consisting of 67 permanent GPS stations. An empirical 3-D model is developed for studying these ionospheric structures. The model, named LLT model, described temporal variations of TEC in latitude/longitude frame (46°, 52°)N and (−1°, 11°)E. The spatial variations of TEC are modeled by Tchebishev base functions, while the temporal variations are described by a trigonometric basis. To fit the model to the data, the observed area is divided into bins with (1° × 1°) geographic scale and 6 min on time axis. LLT model is made flexible, with varying number of coefficients along each axis. This allows different degree of smoothing, which is the key element of the present approach. Model runs with higher number of coefficients, capturing in details medium-scale TEC structures are subtracted from results obtained with smaller number of coefficients; the latter represent the background ionosphere. The residual structures are localized and followed as they travel across the observed area. In this way, the size, velocity, and direction of the irregular structures are obtained.
Keywords
MSTIDs , GPS positioning , TEC modeling , Ionospheric disturbances
Journal title
Advances in Space Research
Serial Year
2009
Journal title
Advances in Space Research
Record number
1132680
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