A framework for detailed multiphase cloud modeling on HPC systems
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Cloud processes are appreciated to be of increasing importance to the comprehension of the atmosphere. Therefore, weather models have recently been extended by detailed spectral descriptions of cloud processes. However, the high computational costs hinder their practical application. This paper introduces the novel framework FD4 (Four-Dimensional Distributed Dynamic Data structures), which is developed to parallelize and couple cloud models to atmospheric models in an efficient way and to enable a higher scalability on HPC systems. Results of first tests with the regional forecast model COSMO are presented.
Details
Original language | English |
---|---|
Title of host publication | Parallel Computing: From Multicores and GPU's to Petascale |
Editors | Barbara Chapman, Frédéric Desprez, Gerhard R. Joubert, Alain Lichnewsky, Frans J. Peters, Thierry Priol |
Publisher | IOS Press, Amsterdam [u. a.] |
Pages | 281-288 |
Number of pages | 8 |
Volume | 19 |
Publication status | Published - 2010 |
Peer-reviewed | Yes |
Publication series
Series | Advances in Parallel Computing |
---|
External IDs
Scopus | 79954521541 |
---|---|
ORCID | /0000-0003-3137-0648/work/142238857 |
Keywords
Keywords
- atmospheric modeling, dynamic load balancing, high performance computing, model coupling