The Dynamical Ionosphere
A Systems Approach to Ionospheric Irregularity

Coordinators: Materassi Massimo, Forte Biagio, Coster Anthea J., Skone Susan

Language: English
Cover of the book The Dynamical Ionosphere

Keywords

Artificial intelligence; Aurora; Chromosphere; Citizen science; Climatological modeling; Complex ionosphere; Complexity sciences; Coupling from above and below; Data fusion; Data science; Database; Data-driven science; Development; Dynamic ionosphere; Dynamical ionosphere; Dynamical system; Earth plasma system; Earth’s ionosphere; Electric field; Electrodynamics; Electron density models; Empirical ionospheric models; Equatorial plasma bubbles; Equatorial spread-F; Fluid dynamics; Formation of the ionosphere; Formulation; Geomagnetic storm; Geomagnetically induced currents; Geospace; Global positioning system; GNSS; Goals for predictions of ionospheric behavior; GPS; Information theory methods; Inverse theory; Ionosphere; Ionosphere-atmosphere interactions; Ionospheric current during sudden impulse; Ionospheric disturbances; Ionospheric irregularities; Ionospheric layers; Ionospheric variability; IRI; ISR; Kinetic theory; Latitude domains; Machine learning; Magnetic storms; Magnetosphere-ionosphere coupling; Magnetosphere-ionosphere interactions; Markov assumption; Medium-scale traveling ionospheric disturbances; Mid-latitude ionosphere; Models in geophysics; Multi-instrument global diagnostics; Multiple phase screens; Multiscale analysis; Mutual coherence function; NeQuick; Parabolic wave equation; Photosphere; Photospheric magnetic field; Plasma instability; Plasma irregularities; Plasmasphere boundary layer; Prereversal enhancement; Propagation modeling; Radio scintillation; Rytov approximation; Scaling invariance; Solar system; Solar wind; Space physics; Space science; Space weather; Spatiotemporal dynamical complexity; Substorms; Total electron content; Traditional theoretical approach; Turbulence; Variability

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337 p. · 19x23.3 cm · Paperback

The Dynamical Ionosphere: A Systems Approach to Ionospheric Irregularity examines the Earth?s ionosphere as a dynamical system with signatures of complexity. The system is robust in its overall configuration, with smooth space-time patterns of daily, seasonal and Solar Cycle variability, but shows a hierarchy of interactions among its sub-systems, yielding apparent unpredictability, space-time irregularity, and turbulence. This interplay leads to the need for constructing realistic models of the average ionosphere, incorporating the increasing knowledge and predictability of high variability components, and for addressing the difficulty of dealing with the worst cases of ionospheric disturbances, all of which are addressed in this interdisciplinary book.

Borrowing tools and techniques from classical and stochastic dynamics, information theory, signal processing, fluid dynamics and turbulence science, The Dynamical Ionosphere presents the state-of-the-art in dealing with irregularity, forecasting ionospheric threats, and theoretical interpretation of various ionospheric configurations.

The Earth’s Ionosphere, An Overview 1. Introduction 2. Day-to-day Variability of the Ionosphere 3. Ionospheric Conjugate Point Science: Hemispheric Coupling 4. Status and Future Directions 5. Mid-Latitude Ionospheric Features: Natural Complexity In Action 6. Empirical Ionospheric  Models 7. Wrap Up

Global Complexity 8. Complex Dynamics of the Sun-Earth Interaction 9. Storms and Sub-storms 10. Geomagnetically Induced Currents

Local Irregularities 11. From instabilities to irregularities 12. Equatorial F region Irregularities 13. Scintillation Theory

The Future Era of Ionospheric Science 14. The Complex Ionosphere 15. New high resolution techniques to probe the ionosphere 16. Advanced Statistical Tools in Near-Earth Space Science 17. Ionospheric Science in the age of Big Data 18. Scintillation Modeling 19. Multiscale Analysis of the Turbulent Ionospheric Medium 20. The future Ionospheric Physics

Geophysicists, Plasma Physicists, Space Physicists, as well as graduate students and upper level undergraduates in that area. Also researchers in other applied physics fields, including astronomy

Massimo Materassi received his PhD in theoretical physics, and served his post-doc in near-Earth plasma turbulence. He is now a researcher for the National Research Council in Italy. His research interests include space weather dynamics, turbulence, information analysis, theoretical dynamical models, plasma physics, and dissipative processes.
Biagio Forte is a Research Fellow for the Department of Electronic and Electrical Engineering at the University of Bath. His research interests include physics and chemistry of the upper ionised atmosphere, plasma turbulence and instabilities in magnetized plasmas, trans-ionospheric radio waves propagation, radio wave scintillation (ionospheric and interplanetary), radio occultation, and space weather effect mitigation.
Anthea J. Coster is Assistant Director and Principal Research Scientist at MIT’s Haystack Observatory, which collaborates with faculty and staff in various departments and laboratories at MIT and includes a 37-meter radio telescope for observation. Her research interests include physics of the ionosphere, magnetosphere, and thermosphere, GPS positioning and measurement accuracy, space weather and storm time effects, and magnetosphere and ionosphere coupling.
Susan Skone is Associate Professor of Geomatics Engineering at the University of Calgary. Dr. Skone's research focuses on Global Navigation Satellite Systems (GNSS). Specific interests include ionosphere modeling for wide area differential GPS applications, scintillation monitoring for GPS, and water vapour estimation for GPS meteorology. Dr. Skone is also involved in several national and international working groups, and is active in Women in Science and Engineering activities at the University of Calgary.
  • Presents studies addressing Earth’s ionosphere as a complex dynamical system, including irregularities and radio scintillation, ionospheric turbulence, nonlinear time series analysis, space-ionosphere connection, and space-time structures
  • Utilizes interdisciplinary tools and techniques, such as those associated with stochastic dynamics, information theory, signal processing, fluid dynamics and turbulence science
  • Offers new data-driven models for different ionospheric variability phenomena
  • Provides a synoptic view of the state-of-the-art and most updated theoretical interpretation, results and data analysis tools of the "worst case" behavior in ionospheric configurations