Relevant bibliographies by topics / Ionospheric electron density – South Africa

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters

Academic literature on the topic 'Ionospheric electron density – South Africa'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Ionospheric electron density – South Africa"

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Yao, Y. B., P. Chen, S. Zhang, and J. J. Chen. "Temporal and spatial variations in ionospheric electron density profiles over South Africa during strong magnetic storms." Natural Hazards and Earth System Sciences 13, no. 2 (2013): 375–84. http://dx.doi.org/10.5194/nhess-13-375-2013.

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Abstract. Observations from the South African TrigNet global navigation satellite system (GNSS) and vertical total electron content (VTEC) data from the Jason-1 satellite were used to analyze the variations in ionospheric electron density profiles over South Africa before and after the severe geomagnetic storms on 15 May 2005. Computerized ionospheric tomography (CIT) was used to inverse the 3-D structure of ionospheric electron density and its response to the magnetic storms. Inversion results showed that electron density significantly increased at 10:00 UT, 15 May compared with that at the s
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Sibanda, P., and L. A. McKinnell. "Topside ionospheric vertical electron density profile reconstruction using GPS and ionosonde data: possibilities for South Africa." Annales Geophysicae 29, no. 2 (2011): 229–36. http://dx.doi.org/10.5194/angeo-29-229-2011.

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Abstract. Successful empirical modeling of the topside ionosphere relies on the availability of good quality measured data. The Alouette, ISIS and Intercosmos-19 satellite missions provided large amounts of topside sounder data, but with limited coverage of relevant geophysical conditions (e.g., geographic location, diurnal, seasonal and solar activity) by each individual mission. Recently, methods for inferring the electron density distribution in the topside ionosphere from Global Positioning System (GPS)-based total electron content (TEC) measurements have been developed. This study is focu
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Altadill, David, Antoni Segarra, Estefania Blanch, et al. "A method for real-time identification and tracking of traveling ionospheric disturbances using ionosonde data: first results." Journal of Space Weather and Space Climate 10 (2020): 2. http://dx.doi.org/10.1051/swsc/2019042.

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Traveling Ionospheric Disturbances (TIDs) are wave-like propagating irregularities that alter the electron density environment and play an important role spreading radio signals propagating through the ionosphere. A method combining spectral analysis and cross-correlation is applied to time series of ionospheric characteristics (i.e., MUF(3000)F2 or foF2) using data of the networks of ionosondes in Europe and South Africa to estimate the period, amplitude, velocity and direction of propagation of TIDs. The method is verified using synthetic data and is validated through comparison of TID detec
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Savas, Caner, and Fabio Dovis. "The Impact of Different Kernel Functions on the Performance of Scintillation Detection Based on Support Vector Machines." Sensors 19, no. 23 (2019): 5219. http://dx.doi.org/10.3390/s19235219.

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Scintillation caused by the electron density irregularities in the ionospheric plasma leads to rapid fluctuations in the amplitude and phase of the Global Navigation Satellite Systems (GNSS) signals. Ionospheric scintillation severely degrades the performance of the GNSS receiver in the signal acquisition, tracking, and positioning. By utilizing the GNSS signals, detecting and monitoring the scintillation effects to decrease the effect of the disturbing signals have gained importance, and machine learning-based algorithms have been started to be applied for the detection. In this paper, the pe
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Okoh, D. I., L. A. McKinnell, and P. J. Cilliers. "Developing an ionospheric map for South Africa." Annales Geophysicae 28, no. 7 (2010): 1431–39. http://dx.doi.org/10.5194/angeo-28-1431-2010.

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Abstract. The development of a map of the ionosphere over South Africa is presented in this paper. The International Reference Ionosphere (IRI) model, South African Bottomside Ionospheric Model (SABIM), and measurements from ionosondes in the South African Ionosonde Network, were combined within their own limitations to develop an accurate representation of the South African ionosphere. The map is essentially in the form of a computer program that shows spatial and temporal representations of the South African ionosphere for a given set of geophysical parameters. A validation of the map is att
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Jin, Shuanggen, J. U. Park, J. L. Wang, B. K. Choi, and P. H. Park. "Electron Density Profiles Derived From Ground-Based GPS Observations." Journal of Navigation 59, no. 3 (2006): 395–401. http://dx.doi.org/10.1017/s0373463306003821.

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Nowadays GPS is widely used to monitor the ionosphere. However, the current results from ground-based GPS observations only provide some information on the horizontal structure of the ionosphere, and are extremely restricted in mapping its vertical structure. In this paper, tomography reconstruction technique was used to image 3D ionospheric structure with ground-based GPS. The first result of the 3D images of the ionospheric electron density distribution in South Korea has been generated from the permanent Korean GPS Network (KGN) data. Compared with the profiles obtained by independent ionos
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van de Heyde, V. P., C. P. Price, and D. M. Moeketsi. "Effects of mid-latitude geomagnetic storms on ionospheric Total Electron Content over South Africa." South African Journal of Geology 119, no. 1 (2016): 135–46. http://dx.doi.org/10.2113/gssajg.119.1.135.

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Ackermann, E. R., J. P. de Villiers, and P. J. Cilliers. "Nonlinear dynamic systems modeling using Gaussian processes: Predicting ionospheric total electron content over South Africa." Journal of Geophysical Research: Space Physics 116, A10 (2011): n/a. http://dx.doi.org/10.1029/2010ja016375.

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Lin, C. H., J. T. Lin, C. H. Chen, et al. "Ionospheric shock waves triggered by rockets." Annales Geophysicae 32, no. 9 (2014): 1145–52. http://dx.doi.org/10.5194/angeo-32-1145-2014.

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Abstract. This paper presents a two-dimensional structure of the shock wave signatures in ionospheric electron density resulting from a rocket transit using the rate of change of the total electron content (TEC) derived from ground-based GPS receivers around Japan and Taiwan for the first time. From the TEC maps constructed for the 2009 North Korea (NK) Taepodong-2 and 2013 South Korea (SK) Korea Space Launch Vehicle-II (KSLV-II) rocket launches, features of the V-shaped shock wave fronts in TEC perturbations are prominently seen. These fronts, with periods of 100–600 s, produced by the propul
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He, Y., D. Yang, J. Qian, and M. Parrot. "Response of the ionospheric electron density to different types of seismic events." Natural Hazards and Earth System Sciences 11, no. 8 (2011): 2173–80. http://dx.doi.org/10.5194/nhess-11-2173-2011.

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Abstract. The electron density data recorded by the Langmuir Probe Instrument (ISL, Instrument Sonde de Langmuir) onboard the DEMETER satellite have been collected for nearly 4 yr (during 2006–2009) to perform a statistical analysis. During this time, more than 7000 earthquakes with a magnitude larger than or equal to 5.0 occurred all over the world. For the statistical studies, all these events have been divided into various categories on the basis of the seismic information, including Southern or Northern Hemisphere earthquakes, inland or sea earthquakes, earthquakes at different magnitude l
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Dissertations / Theses on the topic "Ionospheric electron density – South Africa"

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Okoh, Daniel Izuikeninachi. "Developing an ionospheric map for South Africa." Thesis, Rhodes University, 2009. http://hdl.handle.net/10962/d1005244.

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This thesis describes the development of an ionospheric map for the South African region using the current available resources. The International Reference Ionosphere (IRI) model, the South African Bottomside Ionospheric Model (SABIM), and measurements from ionosondes in the South African Ionosonde Network, were incorporated into the map. An accurate ionospheric map depicting the foF2 and hmF2 parameters as well as electron density profiles at any location within South Africa is a useful tool for, amongst others, High Frequency (HF) communicators and space weather centers. A major product of t
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Sibanda, Patrick. "Challenges in topside ionospheric modelling over South Africa." Thesis, Rhodes University, 2010. http://hdl.handle.net/10962/d1005238.

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This thesis creates a basic framework and provides the information necessary to create a more accurate description of the topside ionosphere in terms of the altitude variation of the electron density (Ne) over the South African region. The detailed overview of various topside ionospheric modelling techniques, with specific emphasis on their implications for the efforts to model the South African topside, provides a starting point towards achieving the goals. The novelty of the thesis lies in the investigation of the applicabilityof three different techniques to model the South African topside
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Jacobs, Linda. "An investigation into improved ionospheric F1 layer predictions over Grahamstown, South Africa." Thesis, Rhodes University, 2005. http://hdl.handle.net/10962/d1008094.

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This thesis describes an analysis of the F1 layer data obtained from the Grahamstown (33.32°S, 26.500 E), South Africa ionospheric station and the use of this data in improving a Neural Network (NN) based model of the F1 layer of the ionosphere. An application for real-time ray tracing through the South African ionosphere was identified, and for this application real-time evaluation of the electron density profile is essential. Raw real-time virtual height data are provided by a Lowell Digisonde (DPS), which employs the automatic scaling software, ARTIST whose output includes the virtual-torea
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McKinnell, L. A. "A neural network based ionospheric model for the bottomside electron density profile over Grahamstown, South Africa." Thesis, Rhodes University, 2003. http://hdl.handle.net/10962/d1005262.

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This thesis describes the development and application of a neural network based ionospheric model for the bottomside electron density profile over Grahamstown, South Africa. All available ionospheric data from the archives of the Grahamstown (33.32ºS, 26.50ºE) ionospheric station were used for training neural networks (NNs) to predict the parameters required to produce the final profile. Inputs to the model, called the LAM model, are day number, hour, and measures of solar and magnetic activity. The output is a mathematical description of the bottomside electron density profile for that partic
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Giday, Nigussie Mezgebe. "Optimizing MIDAS III over South Africa." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1011277.

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In this thesis an ionospheric tomographic algorithm called Multi-Instrument Data Anal- ysis System (MIDAS) is used to reconstruct electron density profiles using the Global Positioning System (GPS) data recorded from 53 GPS receivers over the South African region. MIDAS, developed by the Invert group at the University of Bath in the UK, is an inversion algorithm that produces a time dependent 3D image of the electron density of the ionosphere. GPS receivers record the time delay and phase advance of the trans- ionospheric GPS signals that traverse through the ionosphere from which the ionosphe
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Ssessanga, Nicholas. "Development of an ionospheric map for Africa." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1011498.

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This thesis presents research pertaining to the development of an African Ionospheric Map (AIM). An ionospheric map is a computer program that is able to display spatial and temporal representations of ionospheric parameters such as, electron density and critical plasma frequencies, for every geographical location on the map. The purpose of this development was to make the most optimum use of all available data sources, namely ionosondes, satellites and models, and to implement error minimisation techniques in order to obtain the best result at any given location on the African continent. The
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Haggard, Raymond. "The effects of particle precipitation on the ionosphere in the South Atlantic Anomaly Region." Thesis, Rhodes University, 1994. http://hdl.handle.net/10962/d1005248.

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The first ground based observations of aeronomic phenomena in the South Atlantic Anomaly Region are presented. These data show that enhancements in foF2 and foE can be directly attributed to precipitated electron energy fluxes in the Anomaly Region. The regular occurrence of particle induced sporadic-E ionization is also presented together with the first measurable 391.4 nm airglow radiation of about 16 R. The first comprehensive survey of energy fluxes carried by energetic particles using satellites is also presented for both daytime and nighttime as well as the seasonal fluctuations. We foun
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Moeketsi, Daniel Mojalefa. "Solar cycle effects on GNSS-derived ionospheric total electron content observed over Southern Africa." Thesis, Rhodes University, 2008. http://hdl.handle.net/10962/d1005275.

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The South African Global Navigation Satellite System (GNSS) network of dual frequency receivers provide an opportunity to investigate solar cycle effects on ionospheric Total Electron Content (TEC) over the South Africa region by taking advantage of the dispersive nature of the ionospheric medium. For this task, the global University of New Brunswick Ionospheric Modelling Technique (UNB-IMT) was adopted, modified and applied to compute TEC using data from the southern African GNSS Network. TEC values were compared with CODE International GNSS services TEC predictions and Ionosonde-derived TEC
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McKinnell, Lee-Anne. "A neural network based ionospheric model for the bottomside electron density profile over Grahamstown, South Africa /." 2002. http://eprints.ru.ac.za/24/.

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Moeketsi, Daniel Mojalefa. "Solar cycle effects on GNSS-derived ionospheric total electron content observed over Southern Africa /." 2007. http://eprints.ru.ac.za/1155/.

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Book chapters on the topic "Ionospheric electron density – South Africa"

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Tsidu, Gizaw Mengistu, Gebreab Kidanu, and Gebregiorgis Abraha. "Tomographic Reconstruction of Ionospheric Electron Density Using Altitude-Dependent Regularization Strength over the Eastern Africa Longitude Sector." In Ionospheric Space Weather. John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781118929216.ch11.

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