Abstract Ionospheric Total Electron Content (TEC) forecasting during geomagnetic storms is crucial for reliable Global Navigation Satellite System (GNSS) operations. Traditional single-frequency ionospheric broadcast correction models (Klobuchar and NeQuick-G models) are likely to have large ionospheric prediction erro...
Chakali Raja Sekhar, D. Ratnam· Journal of Applied Geodesy· 0 citations
ERA5 is the fifth-generation atmospheric reanalysis from the European Centre for Medium-Range Weather Forecasts. It combines observations with a weather model to reconstruct past atmospheric conditions. We compared its 0.25° and 1° grids to assess tropospheric parameter errors and data requirements for Global Navigatio...
Accurate prediction of ionospheric Total Electron Content (TEC) during geomagnetically disturbed conditions remains challenging, particularly when empirical models perform poorly during storms and neural network (NN) approaches rely explicitly on geomagnetic indices such as Kp/Ap or Dst/SYM-H. In this study, we develop...
Sumanjit Chakraborty, Gopi K Seemala, A. P. Dimri· Advances in Space Research· 0 citations
Existing global ionospheric models have limited capability in representing the winter anomaly over North America. This study develops a North American Ionospheric TEC Empirical Model (NAI-TECEM) based on multi-source TEC data fusion. GPS-TEC, CODE-GIM, IRI2020, Jason-TEC, and COSMIC-TEC data from 2010 to 2021 were inte...
Aim: This study examines the temporal behaviour of GPS-derived total electron content (GPS-TEC) and evaluates the capability of the International Reference Ionosphere-2016 (IRI-2016) and NeQuick-2 models to reproduce observed ionospheric conditions over Birnin Kebbi, Nigeria (12.64° N, 4.22° E; dip latitude 2.68° N).
M...
E. Onori, A. Ogwala, Alimat A. Asalu et al.· Asian Journal of Research an...· 0 citations
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