A framework for detailed multiphase cloud modeling on HPC systems

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review



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.


Original languageEnglish
Title of host publicationParallel Computing: From Multicores and GPU's to Petascale
EditorsBarbara Chapman, Frédéric Desprez, Gerhard R. Joubert, Alain Lichnewsky, Frans J. Peters, Thierry Priol
PublisherIOS Press, Amsterdam [u. a.]
Number of pages8
Publication statusPublished - 2010

Publication series

SeriesAdvances in Parallel Computing

External IDs

Scopus 79954521541
ORCID /0000-0003-3137-0648/work/142238857



  • atmospheric modeling, dynamic load balancing, high performance computing, model coupling