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Titel:

A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Krenz, Lukas; Rannabauer, Leonhard; Bader, Michael
Seitenangaben Beitrag:
311-323
Abstract:
We present a high-order discontinuous Galerkin (dg) solver of the compressible Navier-Stokes equations for cloud formation processes. The scheme exploits an underlying parallelized implementation of the ader-dg method with dynamic adaptive mesh refinement. We improve our method by a pde-independent general refinement criterion, based on the local total variation of the numerical solution. While established methods use numerics tailored towards the specific simulation, our scheme works scenario i...     »
Horizon 2020:
supported by Horizon 2020 project nr. 67169 ExaHyPE , supported by Horizon 2020 project nr. 823844 ChEESE
Herausgeber:
Wyrzykowski R., Deelman E., Dongarra J., Karczewski K.
Kongress- / Buchtitel:
Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019
Kongress / Zusatzinformationen:
Bialystok, Poland
Verlag / Institution:
Springer
Jahr:
2020
Quartal:
1. Quartal
Jahr / Monat:
2020-03
Monat:
Mar
Seiten:
10
Serientitel:
Lecture Notes in Computer Science
Serienbandnummer:
12043
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1007/978-3-030-43229-4_27
WWW:
https://link.springer.com/chapter/10.1007/978-3-030-43229-4_27
Hinweise:
Archive-ID: 2019_11_05_krenz_PPAM_cloudSupercomputing
TUM Einrichtung:
Department of Informatics
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