$\boldsymbol{\nabla} \boldsymbol{\cdot} \mathbf{B}$, outer boundary, and Biot-Savart in magnetosphere MHD simulations
Dean Thomas (1), Robert S. Weigel (1), Gary Quaresima (2), Antti Pulkkinen (3), Daniel T. Welling (4) ((1) Space Weather Lab, Department of Physics, Astronomy, George Mason University, Fairfax, VA, USA, (2) Department of Physics, University of Virginia, Charlottesville, VA, USA

TL;DR
This study evaluates the significance of divergence errors and boundary integrals in MHD simulations of the magnetosphere, recommending boundary-based methods over Biot-Savart for magnetic field estimation.
Contribution
It demonstrates that boundary integrals are substantial and often overlooked, proposing a more accurate and efficient boundary-based approach for magnetic field estimation in magnetospheric simulations.
Findings
Divergence errors can reach up to 30% of Biot-Savart estimates.
Outer boundary integrals are significant and should be included in calculations.
Boundary-based methods outperform Biot-Savart Law in accuracy and efficiency.
Abstract
We examine the size of and outer surface boundary integrals in estimating the surface magnetic field from magnetohydrodynamic (MHD) simulations. Maxwell's equations tell us = 0, which may be violated due to numerical error. MHD models, such as the Space Weather Modeling Framework (SWMF) and the Open Geospace General Circulation Model (OpenGGCM), use different techniques to limit . Analyses of MHD simulations typically assume errors are small. Similarly, analyses commonly use the Biot-Savart Law and magnetospheric current density estimates from MHD simulations to determine the magnetic field at a specific point on Earth. This calculation frequently omits the surface integral over the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
