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<p style="font-weight: 400;"><span>Dear Colleagues,</span></p>
<p style="font-weight: 400;"><span>We invite researchers to contribute to a special issue of Advances in Space Research (<em>ASR</em>) on “</span><strong><em>Ionospheric </em></strong><strong><em>I</em></strong><strong><em>maging: Recent </em></strong><strong><em>A</em></strong><strong><em>dvances and </em></strong><strong><em>F</em></strong><strong><em>uture </em></strong><strong><em>D</em></strong><strong><em>irections</em></strong>”. <span> </span>Ionospheric imaging is a technique for producing images of the ionosphere using various instruments such as ground-based, space-based, and radio occultation systems. <span> </span>It is a powerful technique for studying the ionosphere and its impact on radio communication and navigation systems. <span> </span>This specialized issue will serve as a platform for researchers and scientists to explore the latest advances in ionospheric imaging techniques. <span> </span>We solicit high-quality original research papers on the following topics, but are not limited to:</p>
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<li><strong>Validation and improvement of ionospheric imaging techniques: </strong>This includes contributions to new techniques for extracting 2D, 3D, or 4D ionospheric representations from ground-based or space-based observations.<span> </span>We also welcome contributions of ionospheric imaging data used to validate and improve ionospheric models.</li>
<li><strong>Ionospheric tomography: </strong>Ionospheric imaging and tomography studies can be used to investigate ionospheric variability and to improve our understanding of the global ionosphere. <span> </span>We also seek papers addressing newdevelopments and applications of the algebraic, statistical, or machine learning-based reconstruction techniques used in computerized ionospheric tomography.</li>
<li><strong><span>Data assimilation for improved ionospheric imaging:</span></strong><span> Data assimilation (DA) has the potential to significantly improve the accuracy and performance of ionospheric imaging. This special issue also invites papers on new approaches or advances/validation of standard techniques to DA, and applications of DA to ionospheric imaging for specific purposes.</span></li>
<li><strong><span>Advances in instrumentation and applied ionospheric imaging:</span></strong><span> This also includes contributions to the development of new instruments for ionospheric imaging and how ionospheric imaging is being utilized in practical scenarios. For example, enhancing the reliability and efficiency of radio communication, navigation systems, space weather forecasts, and satellite orbit dynamics.</span><span style="font-size: 10pt;"> </span></li>
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<p style="font-weight: 400;"><span>Contributions to this special issue will present a comprehensive understanding of the current status of the accuracy of ionospheric models. Furthermore, it will highlight the implications of these advancements in ionospheric imaging for various sectors, including space science, atmospheric physics, telecommunications, and navigation systems. Through a collection of insightful articles and research findings, this special topic aims to foster collaboration, disseminate knowledge, and inspire further research in the field of ionospheric imaging.</span></p>
<p style="font-weight: 400;"><span>Papers must be submitted electronically to <a href="https://www.editorialmanager.com/AISR" target="_blank" rel="noopener noreferrer">https://www.editorialmanager.com/AISR</a>. To ensure that all manuscripts are correctly identified for inclusion into the special issue, authors must select <strong>“Special Issue: Ionospheric Imaging” </strong>when they reach the "Article Type" step in the submission process. </span><span>The general format for submission of papers can be found on the <em>ASR</em> Elsevier web site at <</span>http://www.journals.elsevier.com/advances-in-space-research/>. T<span>he<strong> </strong>deadline for submissions is <strong>15 January 2025</strong>.</span></p>
<p style="font-weight: 400;"><strong><span>Dr. Marcio Muella (</span></strong><span><a href="mailto:mmuella@univap.br" rel="noreferrer"><strong>mmuella@univap.br</strong></a></span><strong><span>) </span></strong><span>and</span><strong><span> Dr. Fabricio Prol (</span></strong><span><a href="mailto:Fabricio.dossantosprol@nls.fi" rel="noreferrer"><strong>Fabricio.dossantosprol@nls.fi</strong></a></span><strong><span>) </span></strong><span>are</span><span> the</span><span> Guest Editors for this special issue. Questions can be directed to Drs. Muella or Prol or</span> <span>to the Co-Editor for Special Issues, Dr. Peggy Ann Shea (sssrc@msn.com).</span></p>
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