Effective solar indices for ionospheric modeling: a review and a proposal for a real-time regional IRI
The first part of this paper reviews methods using effective solar indices to update a
background ionospheric model focusing on those employing the Kriging method to perform …
background ionospheric model focusing on those employing the Kriging method to perform …
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 …
A short-term forecast method of maximum usable frequency for HF communication
J Wang, Y Shi, C Yang, Z Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To further improve the quantitative forecasting ability of high-frequency (HF) communication
frequency, we propose a maximum usable frequency (MUF) adaptive forecasting method …
frequency, we propose a maximum usable frequency (MUF) adaptive forecasting method …
Real-time updating of the Simplified Ionospheric Regional Model for operational applications
B Zolesi, A Belehaki, I Tsagouri, LR Cander - Radio Science, 2004 - ieeexplore.ieee.org
A method for mapping of ionospheric conditions over Europe, suitable to be used in real
time for operational applications, is described in this paper. The method is based on the …
time for operational applications, is described in this paper. The method is based on the …
Forecasting ionospheric structure during the great geomagnetic storms
LR Cander, SJ Mihajlovic - Journal of Geophysical Research …, 1998 - Wiley Online Library
Characteristics of midlatitude ionospheric disturbances during several great geomagnetic
storms have been investigated using data from the European geomagnetic observatories …
storms have been investigated using data from the European geomagnetic observatories …
[PDF][PDF] Machine learning methodology for ionosphere total electron content nowcasting
The dynamics of ionospheric parameters forecasting and nowcasting are actual and rather
challenging tasks. The feature selection is the principal challenge for the accurate …
challenging tasks. The feature selection is the principal challenge for the accurate …
On the potential applicability of the simplified ionospheric regional model to different midlatitude areas
B Zolesi, LR Cander, G De Franceschi - Radio Science, 1996 - ieeexplore.ieee.org
The simplified ionospheric regional model (SIRM) was originally developed for modeling the
most relevant ionospheric characteristics over Europe for radiocommunication purposes …
most relevant ionospheric characteristics over Europe for radiocommunication purposes …
An overview of ionosphere—Thermosphere models available for space weather purposes
A Belehaki, I Stanislawska, J Lilensten - Space science reviews, 2009 - Springer
Our objective is to review recent advances in ionospheric and thermospheric modeling that
aim at supporting space weather services. The emphasis is placed on achievements of …
aim at supporting space weather services. The emphasis is placed on achievements of …
Simplified regional prediction model of long-term trend for critical frequency of ionospheric F2 Region over east Asia
J Wang, H Bai, X Huang, Y Cao, Q Chen, J Ma - Applied Sciences, 2019 - mdpi.com
To improve the accuracy of predictions and simplify the difficulty with the algorithm, a
simplified empirical model is proposed in developing a long-term predictive approach in …
simplified empirical model is proposed in developing a long-term predictive approach in …
Modeling ionospheric foF2 response during geomagnetic storms using neural network and linear regression techniques
M Tshisaphungo, JB Habarulema… - Advances in Space …, 2018 - Elsevier
In this paper, the modeling of the ionospheric foF 2 changes during geomagnetic storms by
means of neural network (NN) and linear regression (LR) techniques is presented. The …
means of neural network (NN) and linear regression (LR) techniques is presented. The …