Articles | Volume 9, issue 7
https://doi.org/10.5194/gmd-9-2293-2016
https://doi.org/10.5194/gmd-9-2293-2016
Development and technical paper
 | 
05 Jul 2016
Development and technical paper |  | 05 Jul 2016

Performance evaluation of a throughput-aware framework for ensemble data assimilation: the case of NICAM-LETKF

Hisashi Yashiro, Koji Terasaki, Takemasa Miyoshi, and Hirofumi Tomita

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Short summary
We propose the design and implementation of an ensemble data assimilation framework for weather prediction at a high resolution and with a large ensemble size. We consider the deployment of this framework on the data throughput of file I/O and multi-node communication. With regard to high-performance computing systems, where data throughput performance increases at a slower rate than computational performance, our new framework promises drastic reduction of total execution time.