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Simulation of Mercury's magnetosheath with a combined hybrid‐paraboloid model
Author(s) -
Parunakian David,
Dyadechkin Sergey,
Alexeev Igor,
Belenkaya Elena,
Khodachenko Maxim,
Kallio Esa,
Alho Markku
Publication year - 2017
Publication title -
journal of geophysical research: space physics
Language(s) - English
Resource type - Journals
eISSN - 2169-9402
pISSN - 2169-9380
DOI - 10.1002/2017ja024105
Subject(s) - magnetosheath , magnetosphere , magnetopause , spacecraft , physics , micrometeoroid , magnetometer , geophysics , aerospace engineering , magnetic field , computational physics , astronomy , engineering , quantum mechanics , space debris
In this paper we introduce a novel approach for modeling planetary magnetospheres that involves a combination of the hybrid model and the paraboloid magnetosphere model (PMM); we further refer to it as the combined hybrid model. While both of these individual models have been successfully applied in the past, their combination enables us both to overcome the traditional difficulties of hybrid models to develop a self‐consistent magnetic field and to compensate the lack of plasma simulation in the PMM. We then use this combined model to simulate Mercury's magnetosphere and investigate the geometry and configuration of Mercury's magnetosheath controlled by various conditions in the interplanetary medium. The developed approach provides a unique comprehensive view of Mercury's magnetospheric environment for the first time. Using this setup, we compare the locations of the bow shock and the magnetopause as determined by simulations with the locations predicted by stand‐alone PMM runs and also verify the magnetic and dynamic pressure balance at the magnetopause. We also compare the results produced by these simulations with observational data obtained by the magnetometer on board the MErcury Surface, Space ENvironment, GEochemistry, and Ranging (MESSENGER) spacecraft along a dusk‐dawn orbit and discuss the signatures of the magnetospheric features that appear in these simulations. Overall, our analysis suggests that combining the semiempirical PMM with a self‐consistent global kinetic model creates new modeling possibilities which individual models cannot provide on their own.