Geoscientific Model Development
Geoscientific Model Development
Geoscientific Model Development
Articles | Volume 15, issue 20
Articles | Volume 15, issue 20
Geosci. Model Dev., 15, 7903–7912, 2022
https://doi.org/10.5194/gmd-15-7903-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 15, 7903–7912, 2022
https://doi.org/10.5194/gmd-15-7903-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 20
Development and technical paper
27 Oct 2022
Development and technical paper | 27 Oct 2022

Spatial filtering in a 6D hybrid-Vlasov scheme to alleviate adaptive mesh refinement artifacts: a case study with Vlasiator (versions 5.0, 5.1, and 5.2.1)

Konstantinos Papadakis et al.

Model code and software

Vlasiator Pfau-Kempf, Yann and Von Alfthan, Sebastian and Sandroos, Arto and Ganse, Urs and Koskela, Tuomas and Battarbee, Markus and Hannuksela, Otto Akseli and Honkonen, Ilja and Papadakis, Kostis and Grandin, Maxime and Pokhotelov, DImitry and Zhou, Hongyang and Kotipalo, Leo and Alho, Markku https://doi.org/10.5281/ZENODO.6782211

fmihpc/vlasiator: Vlasiator 5.0 S. von Alfthan, Y. Pfau-Kempf, A. Sandroos, U. Ganse, O. Hannuksela, I. Honkonen, M. Battarbee, T. Koskela, and D. Pokhotelov https://doi.org/10.5281/ZENODO.3640594

fmihpc/vlasiator: Vlasiator 5.1 Y. Pfau-Kempf, S. Von Alfthan, A. Sandroos, U. Ganse, T. Koskela, M. Battarbee, O. A. Hannuksela, I. Honkonen, K. Papadakis, M. Grandin, D. Pokhotelov, H. Zhou, L. Kotipalo, and M. Alho https://doi.org/10.5281/ZENODO.4719554

fmihpc/analysator: v0.9 (v0.9) Markus Battarbee, Otto Akseli Hannuksela, Yann Pfau-Kempf, Sebastian von Alfthan, Urs Ganse, Riku Jarvinen, Leo, Jonas Suni, Markku Alho, lturc, Ilja, tvbrito, and Maxime Grandin https://doi.org/10.5281/zenodo.4462515

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Short summary
Vlasiator is a plasma simulation code that simulates the entire near-Earth space at a global scale. As 6D simulations require enormous amounts of computational resources, Vlasiator uses adaptive mesh refinement (AMR) to lighten the computational burden. However, due to Vlasiator’s grid topology, AMR simulations suffer from grid aliasing artifacts that affect the global results. In this work, we present and evaluate the performance of a mechanism for alleviating those artifacts.
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