Long short-term memory and gated recurrent neural networks to predict the ionospheric vertical total electron content

K Iluore, J Lu - Advances in Space Research, 2022 - Elsevier
This paper provides the application of deep learning models such as Long Short-Term
Memory (LSTM) and a recently proposed Gated Recurrent Unit (GRU) in forecasting the …

[HTML][HTML] Klobuchar, NeQuickG, BDGIM, GLONASS, IRI-2016, IRI-2012, IRI-Plas, NeQuick2, and GEMTEC Ionospheric Models: A Comparison in Total Electron Content …

YV Yasyukevich, D Zatolokin, A Padokhin, N Wang… - Sensors, 2023 - mdpi.com
Global navigation satellite systems (GNSS) provide a great data source about the
ionosphere state. These data can be used for testing ionosphere models. We studied the …

A neural network‐based ionospheric model over Africa from Constellation Observing System for Meteorology, Ionosphere, and Climate and Ground Global Positioning …

D Okoh, G Seemala, B Rabiu… - Journal of …, 2019 - Wiley Online Library
The first regional total electron content (TEC) model over the entire African region (known as
AfriTEC model) using empirical observations is developed and presented. Artificial neural …

Global ionosphere modeling based on GNSS, satellite altimetry, radio occultation, and DORIS data considering ionospheric variation

J Chen, X Ren, P Yang, G Xu, L Huang… - Journal of …, 2023 - Wiley Online Library
The accuracy of ionospheric models estimated by ground‐based multiple global navigation
satellite system ionospheric data over regions with sparse tracking stations is not ideal. To …

Storm‐time modeling of the African regional ionospheric total electron content using artificial neural networks

D Okoh, JB Habarulema, B Rabiu, G Seemala… - Space …, 2020 - Wiley Online Library
This paper presents the development of a storm‐time total electron content (TEC) model
over the African sector for the first time. The storm criterion used was| Dst|≥ 50 nT and Kp≥ …

[HTML][HTML] Low-latitude ionospheric responses and coupling to the February 2014 multiphase geomagnetic storm from GNSS, magnetometers, and space weather data

A Calabia, C Anoruo, M Shah, C Amory-Mazaudier… - Atmosphere, 2022 - mdpi.com
The ionospheric response and the associated mechanisms to geomagnetic storms are very
complex, particularly during the February 2014 multiphase geomagnetic storm. In this paper …

Ionospheric and plasmaspheric electron contents from space-time collocated digisonde, COSMIC, and GPS observations and model assessments

SK Panda, H Haralambous, M Moses, JRKK Dabbakuti… - Acta Astronautica, 2021 - Elsevier
An accurate representation of bottomside, topside ionosphere, and plasmasphere electron
content remains as one of the important issues for the development of realistic ionosphere …

Total electron content at equatorial and low-, middle-and high-latitudes in African longitude sector and its comparison with IRI-2016 and IRI-PLAS 2017 models

A Ogwala, EO Somoye, SK Panda… - Advances in space …, 2021 - Elsevier
Ionosphere plays crucial role in satellite communication as well as the modern space-based
positioning, navigation and timing applications. Progressive exploitation of ground and …

[HTML][HTML] Co-seismic ionospheric disturbances following the 2016 West Sumatra and 2018 Palu earthquakes from GPS and GLONASS measurements

MN Cahyadi, B Muslim, DG Pratomo, IM Anjasmara… - Remote Sensing, 2022 - mdpi.com
The study of ionospheric disturbances associated with the two large strike-slip earthquakes
in Indonesia was investigated, which are West Sumatra on 2 March 2016 (Mw= 7.8), and …

Performance analysis of quiet and disturbed time ionospheric TEC responses from GPS-based observations, IGS-GIM, IRI-2016 and SPIM/IRI-Plas 2017 models over …

KD Reddybattula, SK Panda - Advances in Space Research, 2019 - Elsevier
This paper focuses on the variability of ionospheric Total Electron Content (TEC) over low
latitude Indian sub-continental region during the geomagnetically quiet and disturbed …