Annales Geophysicae · 2010 · 69 citations · 27 references
Natural SciencesEarth SciencesGeophysicsAtmospheric ScienceGeomagnetismGlobal Navigation Satellite SystemsIonospheric ElectrodynamicsSatellite OrbitsSatellite SensorsAccuracy AnalysisBias EstimationData Accuracy AnalysisInstrumental ErrorIonospheric IrregularitiesIonospheric Total Electron ContentTotal Electron Content Variations
Abstract. With one bias estimation method, the latitude-related error distribution of instrumental biases estimated from the GPS observations in Chinese middle and low latitude region in 2004 is analyzed statistically. It is found that the error of GPS instrumental biases estimated under the assumption of a quiet ionosphere has an increasing tendency with the latitude decreasing. Besides the asymmetrical distribution of the plasmaspheric electron content, the obvious spatial gradient of the ionospheric total electron content (TEC) along the meridional line that related to the Equatorial Ionospheric Anomaly (EIA) is also considered to be responsible for this error increasing. The RMS of satellite instrumental biases estimated from mid-latitude GPS observations in 2004 is around 1 TECU (1 TECU = 1016/m2), and the RMS of the receiver's is around 2 TECU. Nevertheless, the RMS of satellite instrumental biases estimated from GPS observations near the EIA region is around 2 TECU, and the RMS of the receiver's is around 3–4 TECU. The results demonstrate that the accuracy of the instrumental bias estimated using ionospheric condition is related to the receiver's latitude with which ionosphere behaves a little differently. For the study of ionospheric morphology using the TEC derived from GPS data, in particular for the study of the weak ionospheric disturbance during some special geo-related natural hazards, such as the earthquake and severe meteorological disasters, the difference in the TEC accuracy over different latitude regions should be paid much attention.
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A global mapping technique for GPS‐derived ionospheric total electron content measurements
A. J. Mannucci, Brian Wilson, Dah‐Ning Yuan et al. · Radio Science · 1998 · 1.3K citations · Full text
Pre-earthquake ionospheric anomalies registered by continuous GPS TEC measurements
J. Y. Liu, Yu-Jung Chuo, S. Shan et al. · Annales Geophysicae · 2004 · 526 citations · Full text