Modeling of ionospheric scintillation
D Vasylyev, Y Béniguel, W Volker… - Journal of Space …, 2022 - swsc-journal.org
A signal, such as from a GNSS satellite or microwave sounding system, propagating in the
randomly inhomogeneous ionosphere, experiences chaotic modulations of its amplitude …
randomly inhomogeneous ionosphere, experiences chaotic modulations of its amplitude …
A new version of the NeQuick ionosphere electron density model
NeQuick is a three-dimensional and time dependent ionospheric electron density model
developed at the Aeronomy and Radiopropagation Laboratory of the Abdus Salam …
developed at the Aeronomy and Radiopropagation Laboratory of the Abdus Salam …
Long short‐term memory neural network for ionospheric total electron content forecasting over China
An increasing number of terrestrial‐and space‐based radio‐communication systems are
influenced by the ionospheric space weather, making the ionospheric state increasingly …
influenced by the ionospheric space weather, making the ionospheric state increasingly …
Deep learning for global ionospheric TEC forecasting: Different approaches and validation
The application of deep learning technology to ionospheric prediction has become a new
research hotspot. However, there are still some gaps, such as the prediction effect with …
research hotspot. However, there are still some gaps, such as the prediction effect with …
The evolution of the DGR approach to model electron density profiles
SM Radicella, R Leitinger - Advances in Space Research, 2001 - Elsevier
The paper describes the evolution of the “profiler” proposed by Di Giovanni and Radicella
(1990) to calculate the electron density distribution with height up to the F2 peak based on …
(1990) to calculate the electron density distribution with height up to the F2 peak based on …
A new global TEC model for estimating transionospheric radio wave propagation errors
N Jakowski, MM Hoque, C Mayer - Journal of Geodesy, 2011 - Springer
Abstract Space-based navigation and radar systems operating at single frequencies of< 10
GHz require ionospheric corrections of the signal delay or range error. Because this …
GHz require ionospheric corrections of the signal delay or range error. Because this …
Total electron content models and their use in ionosphere monitoring
N Jakowski, C Mayer, MM Hoque, V Wilken - Radio Science, 2011 - ieeexplore.ieee.org
In Global Navigation Satellite Systems (GNSS) using L band frequencies, the ionosphere
causes signal delays that correspond to link-related range errors of up to 100 m. Whereas …
causes signal delays that correspond to link-related range errors of up to 100 m. Whereas …
GIMLi: Global Ionospheric total electron content model based on machine learning
AV Zhukov, YV Yasyukevich, AE Bykov - GPS Solutions, 2021 - Springer
Abstract EXtreme Gradient Boosting over Decision Trees (XGBoost or XGBDT) is a powerful
tool to model a wide range of processes. We propose a new approach to create a global …
tool to model a wide range of processes. We propose a new approach to create a global …
[PDF][PDF] The NeQuick model genesis, uses and evolution
SM Radicella - Annals of geophysics, 2009 - annalsofgeophysics.eu
The NeQuick model genesis, uses and evolution Page 1 417 ANNALS OF GEOPHYSICS, VOL.
52, N. 3/4, June/August 2009 Key words ionospheric model – model assessment – model uses …
52, N. 3/4, June/August 2009 Key words ionospheric model – model assessment – model uses …
Progress in space weather modeling in an operational environment
This paper aims at providing an overview of latest advances in space weather modeling in
an operational environment in Europe, including both the introduction of new models and …
an operational environment in Europe, including both the introduction of new models and …