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Article Dans Une Revue Annales Geophysicae Année : 2003

Derivation of TEC and estimation of instrumental biases from GEONET in Japan

Résumé

This paper presents a method to derive the ionospheric total electron content (TEC) and to estimate the biases of GPS satellites and dual frequency receivers using the GPS Earth Observation Network (GEONET) in Japan. Based on the consideration that the TEC is uniform in a small area, the method divides the ionosphere over Japan into 32 meshes. The size of each mesh is 2° by 2° in latitude and longitude, respectively. By assuming that the TEC is identical at any point within a given mesh and the biases do not vary within a day, the method arranges unknown TECs and biases with dual GPS data from about 209 receivers in a day unit into a set of equations. Then the TECs and the biases of satellites and receivers were determined by using the least-squares fitting technique. The performance of the method is examined by applying it to geomagnetically quiet days in various seasons, and then comparing the GPS-derived TEC with ionospheric critical frequencies (foF2). It is found that the biases of GPS satellites and most receivers are very stable. The diurnal and seasonal variation in TEC and foF2 shows a high degree of conformity. The method using a highly dense receiver network like GEONET is not always applicable in other areas. Thus, the paper also proposes a simpler and faster method to estimate a single receiver's bias by using the satellite biases determined from GEONET. The accuracy of the simple method is examined by comparing the receiver biases determined by the two methods. Larger deviation from GEONET derived bias tends to be found in the receivers at lower (<30° N) latitudes due to the effects of equatorial anomaly.
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Dates et versions

hal-00317176 , version 1 (18-06-2008)

Identifiants

  • HAL Id : hal-00317176 , version 1

Citer

G. Ma, T. Maruyama. Derivation of TEC and estimation of instrumental biases from GEONET in Japan. Annales Geophysicae, 2003, 21 (10), pp.2083-2093. ⟨hal-00317176⟩

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