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• W2575137964 abstract "Global Ionospheric Maps (GIM) of vertical Total Electron Content (TEC) are utilized in an ingestion approach to generate a 3D specification of the ionosphere over the African Equatorial Ionospheric Anomaly (EIA) by using NeQuick model. The effectiveness of the GIM to specify the ionosphere over the African region has been assessed during the IONAF, a project under the ESA’s Alcantara Initiative. A series of analysis that takes into account the day-to-day variability seen by the GIM and by specific receivers’ ground stations have shown that the vertical TEC derived from the GIMs (CODE) presents a systematic but not necessarily constant positive offset with respect to the corresponding data obtained from individual stations. These offsets have been taken into account in the ingestion process. Therefore, as option, an 'adjustment' to the vertical TEC from CODE has been introduced, to see if it has any effect in modeling the ionosphere in the region of interest. One of the outputs of the ingestion process is a series of maps of foF2 over the African EIA. A validation with foF2 values from the only ionosonde station available in that period, Ilorin, for some months of the year 2010 has been performed. Another comparison with the slant TEC obtained in the 3D specification using GNSS data from the station bjco, Benin, in a given day has been done. Results show that the mismodelings are reduced when the positive offset is taken out from the maps. The paper concludes with an investigation of the effects of the NeQuick bottomside thickness parameter (B2bot) mismodeling on the electron density retrieval. A parameterization of experimental B2bot as a function of time is used to explore the possibility of reducing the mismodeling when foF2 is retrieved from the 3D specification of the ionosphere obtained through the data ingestion process." @default.
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• W2575137964 date "2017-10-01" @default.
• W2575137964 modified "2023-10-01" @default.
• W2575137964 title "Evaluation of NeQuick as a model to characterize the Equatorial Ionization Anomaly over Africa using data ingestion" @default.
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• W2575137964 doi "https://doi.org/10.1016/j.asr.2017.01.013" @default.
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