New Ways to Modelling and Predicting Ionosphere Variables
SM Radicella - Atmosphere, 2023 - mdpi.com
The new way of thinking science from Newtonian determinism to nonlinear unpredictability
and the dawn of advanced computer science and technology can be summarized in the …
and the dawn of advanced computer science and technology can be summarized in the …
Study of Ionospheric Bending Angle and Scintillation Profiles Derived by GNSS Radio-Occultation with MetOp-A Satellite
In this work, a dedicated campaign by MetOp-A satellite is conducted to monitor the
ionosphere based on radio-occultation (RO) measurements provided by the onboard GNSS …
ionosphere based on radio-occultation (RO) measurements provided by the onboard GNSS …
Machine learning approach for ionospheric scintillation prediction on ROTI parameter over the African region during solar cycle 24
Scintillation is a dynamic phenomenon of the earth's ionosphere that adversely affects
satellite-based communication and navigation systems. It is characterized by rapid …
satellite-based communication and navigation systems. It is characterized by rapid …
Ionospheric Error Models for Satellite-Based Navigation—Paving the Road towards LEO-PNT Solutions
Low Earth Orbit (LEO) constellations have recently gained tremendous attention in the
navigational field due to their larger constellation size, faster geometry variations, and higher …
navigational field due to their larger constellation size, faster geometry variations, and higher …
Topside ionospheric TEC modeling using multiple LEO satellites based on genetic algorithm-optimized machine learning models
Abstract Machine learning approaches are introduced to model the three-dimensional
topside total electron content (TEC) using multiple low Earth orbit (LEO) satellites. The three …
topside total electron content (TEC) using multiple low Earth orbit (LEO) satellites. The three …
Calibration of Swarm plasma densities overestimation using neural networks
Recent studies have shown that the measurements of Langmuir Probes (LPs) onboard
ESA's Swarm mission overestimate ion densities on the nightside by up to 50%. The …
ESA's Swarm mission overestimate ion densities on the nightside by up to 50%. The …
[HTML][HTML] Validation of the IRI-2020 topside ionosphere options through in-situ electron density observations by low-Earth-orbit satellites
The topside ionosphere extends from the F2-layer peak, where the electron density reaches
its absolute maximum in the ionosphere, to the overlying plasmasphere and …
its absolute maximum in the ionosphere, to the overlying plasmasphere and …
[HTML][HTML] Validation of the NeQuick model, Ensemble Kalman filter and SMART+ based estimations of the topside ionosphere and plasmasphere
T Gerzen, D Minkwitz, M Schmidt, S Rudenko - Advances in Space …, 2024 - Elsevier
In this work, we analyse the performance of an Ensemble Kalman filter (EnKF) approach, the
simultaneous multiplicative column normalized method SMART+ and the NeQuick model to …
simultaneous multiplicative column normalized method SMART+ and the NeQuick model to …
Machine learning based modeling of thermospheric mass density
In this study, we propose a machine learning based approach to construct an empirical
model of thermospheric mass densities, based on the MultiLayer Perceptron and bi …
model of thermospheric mass densities, based on the MultiLayer Perceptron and bi …
Modeling the Topside Ionosphere Effective Scale Height through In Situ Electron Density Observations by Low-Earth-Orbit Satellites
In this work, we aim to characterize the effective scale height at the ionosphere F2-layer
peak (H 0) by using in situ electron density (N e) observations by Langmuir Probes (LPs) …
peak (H 0) by using in situ electron density (N e) observations by Langmuir Probes (LPs) …