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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Krenz, Lukas; Rannabauer, Leonhard; Bader, Michael
Pages contribution:
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
Editor:
Wyrzykowski R., Deelman E., Dongarra J., Karczewski K.
Book / Congress title:
Parallel Processing and Applied Mathematics: 13th International Conference, PPAM 2019
Congress (additional information):
Bialystok, Poland
Publisher:
Springer
Year:
2020
Quarter:
1. Quartal
Year / month:
2020-03
Month:
Mar
Pages:
10
Bookseries title:
Lecture Notes in Computer Science
Bookseries volume:
12043
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1007/978-3-030-43229-4_27
WWW:
https://link.springer.com/chapter/10.1007/978-3-030-43229-4_27
Notes:
Archive-ID: 2019_11_05_krenz_PPAM_cloudSupercomputing
TUM Institution:
Department of Informatics
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