Variability in Footpoint Mapping of BBFs Using Tsyganenko Models: Impact on Swarm Conjunctions
Vanina Lanabere, Andrew P. Dimmock, Louis Richard, Stephan Buchert, Yuri V. Khotyaintsev, Octav Marghitu

TL;DR
This study evaluates how different Tsyganenko magnetic field models affect the footpoint mapping of BBFs, revealing variability that influences magnetospheric-ionospheric studies and satellite conjunction analyses.
Contribution
It systematically analyzes the impact of input parameters on footpoint locations across multiple Tsyganenko models using a large BBF dataset.
Findings
Approximately 90% of footpoints are near midnight MLAT and MLT.
Model differences cause about +/-4° in MLAT and +/-1 hour in MLT.
Uncertainty in footpoints affects satellite conjunction counts.
Abstract
Magnetospheric-ionospheric coupling studies often rely on multi-spacecraft conjunctions, which require accurate magnetic field mapping tools. For example, linking measurements from the magnetotail with those in the ionosphere involves determining when the orbital magnetic footpoint of THEMIS or MMS intersects with the footpoint of Swarm. The Tsyganenko models are commonly used for tracing magnetic field lines. In this study, we aim to analyze how the footpoint locations are impacted by the input parameters of these models, including solar wind conditions, geomagnetic activity, and the location in the magnetotail. A dataset of 2394 bursty bulk flows (BBFs) detected by MMS was mapped to Earth's ionosphere with six different Tsyganenko models. Approximately 90% of the ionospheric footpoints are concentrated within 70{\deg} +/-5{\deg} magnetic latitude (MLAT) and +/-3 hours of magnetic…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInsect Pheromone Research and Control · Ecosystem dynamics and resilience
