Primary Convener:
Qianli Ma, Boston University

Convener:
Michael Liemohn, University of Michigan Ann Arbor
Consuelo Cid, Universidad de Alcala
Shasha Zou, University of Michigan
Cristian Ferradas, NASA Goddard Space Flight Center
Chao Yue, Peking University
Jacob Bortnik, University of California Los Angeles

Chair:
Michael Liemohn, University of Michigan Ann Arbor
Cristian Ferradas, New Mexico Consortium
Consuelo Cid, Universidad de Alcala
Jacob Bortnik, University of California Los Angeles

Fifty years ago (1975), a Dst prediction algorithm was published that has come to be known as the Burton equation. Since then, numerous studies have used the differential equation approach to predict geomagnetic indices from ground-based magnetometer data. Many other studies have applied different techniques, from first-principles numerical models to neural networks, to predict geomagnetic indices. The Dst index serves as an indicator of the Earth’s ring current intensity. The Earth’s ring current is comprised of electrons and ions from 1 keV to several hundred keV. The ring current particle fluxes are affected by the electric and magnetic fields in the magnetosphere and wave-particle interaction processes. This session welcomes presentations on all geomagnetic activity index prediction techniques and the observation and modeling of Earth’s ring current dynamics. Presentations are welcome that provide a historical, current, or prospective view of modeling the geomagnetic disturbances and the geospace system.

Index Terms
2778 Ring current
2788 Magnetic storms and substorms
7924 Forecasting
7959 Models

Neighborhoods:
4. Beyond Earth

Suggested Itineraries:
Space Weather
Machine Learning and AI

Cross-Listed:
SA - SPA-Aeronomy