A Dynamical System for the Earth's Ionosphere—Space Weather through Complex System Science
A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Upper Atmosphere".
Deadline for manuscript submissions: 30 July 2024 | Viewed by 109
Special Issue Editor
Special Issue Information
Dear Colleagues,
Modelling a physical system requires representing it as a dynamical system, in which a mathematical entity is assigned to describe the system state and a law that outlines what agents make the system state evolve and how is prescribed. The latter is the evolution equation of the system, which is generally given as a differential equation. The initial and boundary conditions on the system state, then, allow the evolution to be predicted, as far as the equations written can be integrated.
All of this is applicable to the Earth’s ionosphere also: indeed, one of the most fundamental issues of ionospheric modelling is constructing dynamical models to predict the behavior of the Earth’s ionospheric region. Writing a dynamical system for a region of the Earth’s ionosphere is complicated: ionospheric regions are huge systems comprising an enormous number of neutral and charged particles that interact via electromagnetism; these are ionized by solar radiation and react chemically, finally undergoing the mechanical effects of the Earth’s lower atmospheric regions, including solar wind pressure and the Earth’s magnetic field. Many branches of physical sciences must hence be involved: particle and fluid mechanics, electromagnetism, chemistry and (non-equilibrium) thermodynamics; this all renders the task of writing “simple” dynamical models extremely difficult in principle.
This Special Issue is an attempt to collect novel and updated examples of ionospheric global or local models based on dynamical system theory. In particular, submissions that focus on the ionospheric applications of the following are encouraged:
- non-equilibrium thermodynamics,
- chaos theory,
- complex systems,
- artificial intelligence and neural networks,
- stochastic dynamics
If you are interested, please send us an email with a tentative title and short abstract by 30th July 2024.
I looking forward to hearing from you.
Dr. Massimo Materassi
Guest Editor
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Keywords
- dynamical systems vs. ionosphere
- machine learning vs. ionosphere
- ionospheric turbulence
- solar wind plasma dynamics
- magnetosphere dynamics
- near-Earth current systems
