Articles | Volume 17, issue 16
https://doi.org/10.5194/gmd-17-6401-2024
https://doi.org/10.5194/gmd-17-6401-2024
Development and technical paper
 | 
29 Aug 2024
Development and technical paper |  | 29 Aug 2024

Physics-motivated cell-octree adaptive mesh refinement in the Vlasiator 5.3 global hybrid-Vlasov code

Leo Kotipalo, Markus Battarbee, Yann Pfau-Kempf, and Minna Palmroth

Related authors

The Vlasiator 5.2 Ionosphere – Coupling a magnetospheric hybrid-Vlasov simulation with a height-integrated ionosphere model
Urs Ganse, Yann Pfau-Kempf, Hongyang Zhou, Liisa Juusola, Abiyot Workayehu, Fasil Kebede, Konstantinos Papadakis, Maxime Grandin, Markku Alho, Markus Battarbee, Maxime Dubart, Leo Kotipalo, Arnaud Lalagüe, Jonas Suni, Konstantinos Horaites, and Minna Palmroth
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-101,https://doi.org/10.5194/gmd-2024-101, 2024
Revised manuscript accepted for GMD
Short summary
Atmospheric odd nitrogen response to electron forcing from a 6D magnetospheric hybrid-kinetic simulation
Tuomas Häkkilä, Maxime Grandin, Markus Battarbee, Monika E. Szeląg, Markku Alho, Leo Kotipalo, Niilo Kalakoski, Pekka T. Verronen, and Minna Palmroth
Ann. Geophys. Discuss., https://doi.org/10.5194/angeo-2024-7,https://doi.org/10.5194/angeo-2024-7, 2024
Preprint under review for ANGEO
Short summary
Finding reconnection lines and flux rope axes via local coordinates in global ion-kinetic magnetospheric simulations
Markku Alho, Giulia Cozzani, Ivan Zaitsev, Fasil Tesema Kebede, Urs Ganse, Markus Battarbee, Maarja Bussov, Maxime Dubart, Sanni Hoilijoki, Leo Kotipalo, Konstantinos Papadakis, Yann Pfau-Kempf, Jonas Suni, Vertti Tarvus, Abiyot Workayehu, Hongyang Zhou, and Minna Palmroth
Ann. Geophys., 42, 145–161, https://doi.org/10.5194/angeo-42-145-2024,https://doi.org/10.5194/angeo-42-145-2024, 2024
Short summary

Related subject area

Solar-terrestrial science
New routine NLTE15µmCool-E v1.0 for calculating the non-local thermodynamic equilibrium (non-LTE) CO2 15 µm cooling in general circulation models (GCMs) of Earth's atmosphere
Alexander Kutepov and Artem Feofilov
Geosci. Model Dev., 17, 5331–5347, https://doi.org/10.5194/gmd-17-5331-2024,https://doi.org/10.5194/gmd-17-5331-2024, 2024
Short summary
The Vlasiator 5.2 Ionosphere – Coupling a magnetospheric hybrid-Vlasov simulation with a height-integrated ionosphere model
Urs Ganse, Yann Pfau-Kempf, Hongyang Zhou, Liisa Juusola, Abiyot Workayehu, Fasil Kebede, Konstantinos Papadakis, Maxime Grandin, Markku Alho, Markus Battarbee, Maxime Dubart, Leo Kotipalo, Arnaud Lalagüe, Jonas Suni, Konstantinos Horaites, and Minna Palmroth
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-101,https://doi.org/10.5194/gmd-2024-101, 2024
Revised manuscript accepted for GMD
Short summary
Daily INSOLation (DINSOL-v1.0): an intuitive tool for classrooms and specifying solar radiation boundary conditions
Emerson D. Oliveira
Geosci. Model Dev., 16, 2371–2390, https://doi.org/10.5194/gmd-16-2371-2023,https://doi.org/10.5194/gmd-16-2371-2023, 2023
Short summary
SSolar-GOA v1.0: a simple, fast, and accurate Spectral SOLAR radiative transfer model for clear skies
Victoria Eugenia Cachorro, Juan Carlos Antuña-Sanchez, and Ángel Máximo de Frutos
Geosci. Model Dev., 15, 1689–1712, https://doi.org/10.5194/gmd-15-1689-2022,https://doi.org/10.5194/gmd-15-1689-2022, 2022
Short summary
Application of CCM SOCOL-AERv2-BE to cosmogenic beryllium isotopes: description and validation for polar regions
Kseniia Golubenko, Eugene Rozanov, Gennady Kovaltsov, Ari-Pekka Leppänen, Timofei Sukhodolov, and Ilya Usoskin
Geosci. Model Dev., 14, 7605–7620, https://doi.org/10.5194/gmd-14-7605-2021,https://doi.org/10.5194/gmd-14-7605-2021, 2021
Short summary

Cited articles

Battarbee, M., Hannuksela, O. A., Pfau-Kempf, Y., von Alfthan, S., Ganse, U., Jarvinen, R., Leo, Suni, J., Alho, M., lturc, Ilja, tvbrito, and Grandin, M.: fmihpc/analysator: v0.9, Zenodo [code], https://doi.org/10.5281/zenodo.4462515, 2021. a
Berger, M. J. and Jameson, A.: Automatic adaptive grid refinement for the Euler equations, AIAA J., 23, 561–568, https://doi.org/10.2514/3.8951, 1985. a
Childs, H., Brugger, E., Whitlock, B., Meredith, J., Ahern, S., Pugmire, D., Biagas, K., Miller, M. C., Harrison, C., Weber, G. H., Krishnan, H., Fogal, T., Sanderson, A., Garth, C., Bethel, E. W., Camp, D., Rubel, O., Durant, M., Favre, J. M., and Navratil, P.: High Performance Visualization–Enabling Extreme-Scale Scientific Insight, edited by: Bethel, E. W., Childs, H., and Hansen, C., 1st Edn., Chapman and Hall/CRC, 520 pp., https://doi.org/10.1201/b12985, 2012. a
Devine, K., Boman, E., Heapby, R., Hendrickson, B., and Vaughan, C.: Zoltan Data Management Service for Parallel Dynamic Applications, Comput. Sci. Eng., 4, 90–97, https://doi.org/10.1109/5992.988653, 2002. a, b, c
Dubart, M., Ganse, U., Osmane, A., Johlander, A., Battarbee, M., Grandin, M., Pfau-Kempf, Y., Turc, L., and Palmroth, M.: Resolution dependence of magnetosheath waves in global hybrid-Vlasov simulations, Ann. Geophys., 38, 1283–1298, https://doi.org/10.5194/angeo-38-1283-2020, 2020. a, b, c
Download
Short summary
This paper examines a method called adaptive mesh refinement in optimization of the space plasma simulation model Vlasiator. The method locally adjusts resolution in regions which are most relevant to modelling, based on the properties of the plasma. The runs testing this method show that adaptive refinement manages to highlight the desired regions with manageable performance overhead. Performance in larger-scale production runs and mitigation of overhead are avenues of further research.