A High-Performance Framework for Sun-to-Earth Space Weather Modeling

Ovsei Volberg,Tamas I. Gombosi,Kenneth G. Powell,Aaron J. Ridley,Kenneth C. Hansen,Gabor Toth,Quentin F. Stout,Darren De Zeeuw,Kevin Kane,David R. Chesney,Robert Oehmke

IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 13 - Volume 14（2005）

引用 6|浏览1

暂无评分

摘要

The Space Weather Modeling Framework (SWMF) aims at providing software architecture for integrated modeling of different domains of Sun-Earth system and high-performance physics-based space weather simulation. The SWMF component architecture promotes collaboration between developers of individual physics models and empowers them by providing coupling context and parallel and distributed computing support. The framework design places minimal requirements on components. The webbased Graphical User Interface facilitates the remote access to the framework even from scientific groups that do not have an access to supercomputers or clusters otherwise.

查看译文

关键词

high-performance physics-based space weather,sun-earth system,swmf component architecture,sun-to-earth space weather modeling,high-performance framework,coupling context,space weather modeling framework,framework design,remote access,software architecture,individual physics model,different domain,object oriented programming,atmospheric modeling,atmosphere,graphic user interface,parallel computing,distributed computing,weather forecasting,magnetohydrodynamics,application software,physical model,graphical user interfaces,internet,predictive models,parallel processing,ionosphere,space weather,magnetosphere

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要