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Spatiotemporal accuracy evaluation and errors analysis of global VTEC maps using a simulation technique
The computation of vertical total electron content (VTEC) maps has become an important issue gradually for the international GNSS service. Given the...
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A short-term prediction model of global ionospheric VTEC based on the combination of long short-term memory and convolutional long short-term memory
The ionospheric vertical total electron content (VTEC) is an essential parameter for studying the ionosphere's dynamic variations, and its short-term...
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Impact and synergies of GIM error estimates on the VTEC interpolation and single-frequency PPP at low latitude region
The vertical total electron content (VTEC) is one of the key quantities to describe variations of the ionosphere and can be provided to users to...
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Ionospheric VTEC and satellite DCB estimated from single-frequency BDS observations with multi-layer map** function
The ionospheric delays and satellite differential code biases (DCBs) act as the significant error sources in the global navigation satellite system...
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Performance Analysis of NeQuick-G, IRI-2016, IRI-Plas 2017 and AfriTEC Models over the African Region during the Geomagnetic Storm of March 2015
AbstractThis paper investigates the diurnal variations of modelled and observed vertical total electron content (VTEC) over the African region (40° N...
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Observation of Atmospheric and Ionospheric Anomalies before the Nepal Earthquakes on 25th April and 12th May 2015
AbstractIdentifying pre-seismic atmospheric and ionospheric anomalies is of research importance but also meets difficulties, especially for...
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High-precision VTEC derivation with GEONET
This paper proposes a new technique, namely Phase bias-based Small Grid Model (PSGM), to derive absolute ionospheric vertical total electron content...
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Using real GNSS data for ionospheric disturbance remote sensing associated with strong thunderstorm over Wuhan city
Acoustic-gravity waves (AGWs) generated in the lower atmosphere can cause the ionosphere’s ionized plasma. Therefore, the electromagnetic signals...
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New encoder–decoder convolutional LSTM neural network architectures for next-day global ionosphere maps forecast
Global navigation satellite system (GNSS) signals are significantly affected by the ionosphere. An efficient way to assess the ionospheric effects on...
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Ionospheric Anomalies Due to Nepal Earthquake-2015 as Observed from GPS-TEC Data
AbstractThe ionosphere is a part of the upper atmosphere, where there are enough electrons and ions, which effectively interact with terrestrial and...
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Multi-GNSS global ionosphere modeling enhanced by virtual observation stations based on IRI-2016 model
The inhomogeneous distribution of Global Navigation Satellite System (GNSS) stations results in inaccurate vertical total electron contents (VTECs)...
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Topside ionospheric TEC modeling using multiple LEO satellites based on genetic algorithm-optimized machine learning models
Machine learning approaches are introduced to model the three-dimensional topside total electron content (TEC) using multiple low Earth orbit (LEO)...
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Physics-informed loss functions for vertical total electron content forecast
We design physics-informed loss functions for training Artificial Neural Network (ANN) models to forecast the ionospheric vertical Total Electron...
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On the application of the raw-observation-based PPP to global ionosphere VTEC modeling: an advantage demonstration in the multi-frequency and multi-GNSS context
The ionospheric delay accounts for one of the major errors that the Global Navigation Satellite Systems (GNSS) suffer from. Hence, the global...
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Global forecasting of ionospheric vertical total electron contents via ConvLSTM with spectrum analysis
The widely used GNSS correction services for high precision positioning take advantage of accurate real-time TEC forecasting based on vertical total...
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Study of ionospheric responses over China during September 7–8, 2017 using GPS, Beidou (GEO), and Swarm satellite observations
The ionospheric responses over China during the geomagnetic storm on September 7–8, 2017 are investigated by using the Global Positioning System...
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An improved NeQuick-G global ionospheric TEC model with a machine learning approach
The advancements in computational resources and Artificial Intelligence (AI) technological tools can predict Global Ionospheric Maps (GIMs). The...
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Improving the (re-)convergence of multi-GNSS real-time precise point positioning through regional between-satellite single-differenced ionospheric augmentation
The long (re-)convergence time seriously limits many applications of real-time precise point positioning (RTPPP) in challenging environments like...
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Performance analysis of IRI-2016 model TEC predictions over Northern and Southern Hemispheric IGS stations during descending phase of solar cycle 24
Global Positioning System (GPS) is an effective tool for monitoring the Earth’s ionosphere. This paper concerns with temporal and spatial variations...
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Support Vector Regression model to predict TEC for GNSS signals
Ionospheric Total Electron Content (TEC) predominantly affects the radio wave communication and navigation links of Global Navigation Satellite...
