Abstract
This paper addresses the implementation of a coupled numerical analysis of the Earth’s magnetospheric dynamics and spacecraft charging (SC) processes based on our in-house Code-To-Code Adapter (CoToCoA). The basic idea is that the magnetohydrodynamic (MHD) simulation reproduces the global dynamics of the magnetospheric plasma, and its pressure and density data at local spacecraft positions are provided and used for the SC calculations. This allows us to predict spacecraft charging that reflects the dynamic changes of the space environment. CoToCoA defines three types of independent programs: Requester, Worker, and Coupler, which are executed simultaneously in the analysis. Since the MHD side takes the role of invoking the SC analysis, Requester and Worker positions are assigned to the MHD and SC calculations, respectively. Coupler then supervises necessary coordination between them. Physical data exchange between the models is implemented using MPI remote memory access functions. The developed program has been tested to ensure that it works properly as a coupled physical model. The numerical experiments also confirmed that the addition of the SC calculations has a rather small impact on the MHD simulation performance with up to about 500-process executions.
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Acknowledgements
This work was supported in part by the Joint Usage and Research Center for Interdisciplinary Large-Scale Information Infrastructure and Innovative High Performance Computing Infrastructure (project numbers: jh210047-NAH, jh220017, jh230042, hp220040, and hp230046), as well as the Japan Society for the Promotion of Science (JSPS) KAKENHI Grant Number JP22K12049. The numerical experiments were carried out using the ITO System at Kyushu University and the Camphor system at Kyoto University.
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Miyake, Y. et al. (2023). Implementation of Coupled Numerical Analysis of Magnetospheric Dynamics and Spacecraft Charging Phenomena via Code-To-Code Adapter (CoToCoA) Framework. In: Mikyška, J., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2023. ICCS 2023. Lecture Notes in Computer Science, vol 14074. Springer, Cham. https://doi.org/10.1007/978-3-031-36021-3_46
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