Multi-Scale Auroral Energy Transport from Alfv'enic Turbulence: A Data-Driven Simulation of Jupiter’s Ionospheric Response

Author: Mr. Arjun Singh Vijoriya

Affiliation: Assistant Professor, Parul University, Vadodara, Gujarat, India

Published: September 5, 2025

DOI: Yet to assign

Journal: Vijoriya International Journal for Research & Innovation

ISSN: Yet to Assign
, 

Abstract:
This study presents a fully simulation-based approach to modeling Jupiter’s auroral processes using open-access planetary magnetic field models and Python-based analysis tools. By integrating dipolar magnetic field line tracing, parallel electric field computation, and Poynting flux estimation across a range of ionospheric conductivities and MHD wave parameters, we evaluate the energetics and dynamics of auroral energy transport. The simulation yields peak Poynting flux values (∼67,600 mW/m2) and auroral power outputs (∼2.2 °ø 1021 TW), significantly exceeding values reported by Juno-era observations . Additionally, predicted auroral brightness (∼1022 Rayleighs) and unphysical AlfvÅLen speeds (∼8.9 °ø 106 km/s) suggest overestimations stemming from assumptions in plasma density and field alignment . The absence of modeled precipitating electron flux further contrasts with typical magnetosphere-ionosphere coupling observations . Despite these discrepancies, the model captures the system’s high sensitivity to Pedersen conductance and Alfv'enic turbulence, supporting theoretical predictions of nonlinear feedback in auroral generation . This work demonstrates both the potential and the limitations of accessible, code-based planetary simulations in replicating outer planetary magnetospheric phenomena, and sets the stage for future studies with realistic wave-particle interactions and validated input parameters.

Keywords:

Auroral Energy Transport, Alfv'enic Turbulence, Alfv'enic wave,  planetary magnetic field models, MHD wave parameters