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  • Chartier_et_al-2014-Radio_Science

    Rights statement: ©2013. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. 0048-6604/14/10.1002/2013RS005238

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Ionospheric imaging in Africa

Research output: Contribution to journalJournal article

Published
  • Alex T. Chartier
  • Cathryn N. Mitchell
  • Julian A. R. Rose
  • David R. Jackson
  • Pierre Cilliers
  • John-Bosco Habarulema
  • Zama Katamzi
  • Lee-Anne Mckinnell
  • Tshimangadzo Matamba
  • Ben Opperman
  • Nicholas Ssessanga
  • Nigussie Mezgebe Giday
  • Vumile Tyalimpi
  • Giorgiana De Franceschi
  • Vincenzo Romano
  • Carlo Scotto
  • Riccardo Notarpietro
  • Fabio Dovis
  • Eugene Avenant
  • Richard Wonnacott
  • Elijah Oyeyemi
  • Ayman Mahrous
  • Gizaw Mengistu Tsidu
  • Harvey Lekamisy
  • Joseph Ouko Olwendo
  • Patrick Sibanda
  • Tsegaye Kassa Gogie
  • Babatunde Rabiu
  • Kees De Jong
  • Adekola Adewale
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<mark>Journal publication date</mark>17/03/2014
<mark>Journal</mark>Radio Science
Issue number1
Volume49
Number of pages9
Pages (from-to)19-27
Publication StatusPublished
Early online date8/01/14
<mark>Original language</mark>English

Abstract

Accurate ionospheric specification is necessary for improving human activities such as radar detection, navigation, and Earth observation. This is of particular importance in Africa, where strong plasma density gradients exist due to the equatorial ionization anomaly. In this paper the accuracy of three-dimensional ionospheric images is assessed over a 2 week test period (2-16 December 2012). These images are produced using differential Global Positioning System (GPS) slant total electron content observations and a time-dependent tomography algorithm. The test period is selected to coincide with a period of increased GPS data availability from the African Geodetic Reference Frame (AFREF) project. A simulation approach that includes the addition of realistic errors is employed in order to provide a ground truth. Results show that the inclusion of observations from the AFREF archive significantly reduces ionospheric specification errors across the African sector, especially in regions that are poorly served by the permanent network of GPS receivers. The permanent network could be improved by adding extra sites and by reducing the number of service outages that affect the existing sites.

Key Points

Ionospheric image quality in Africa is assessed Simulated and real data are both used An extended receiver network greatly improves accuracy

Bibliographic note

©2013. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. 0048-6604/14/10.1002/2013RS005238