Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
Satellite Applications and Operations Center, Space Technology Directorate I, Japan Aerospace Exploration Agency (JAXA)
NEC Corporation
NEC Corporation
Fujitsu Limited
Fujitsu Limited
出版者
宇宙航空研究開発機構(JAXA)
出版者（英）
Japan Aerospace Exploration Agency (JAXA)
雑誌名
宇宙航空研究開発機構研究開発報告: 宇宙科学情報解析論文誌: 第6号
雑誌名(英)
JAXA Research and Development Report: Journal of Space Science Informatics Japan: Volume 6
Observation by satellites orbiting around the Earth is an important tool for scientific study of global changes. Observation data are reprocessed almost every year according to progress in computation model to obtain physical information from observation. The amount of observation data grows day by day. This yields longer and longer time to reprocess the data. However, data latency is an important subject because quick access to earth observation data considerably encourages research into global environment changes and their effects to our society. On this point, JAXA Supercomputer System Generation 2 (JSS2) helps us to solve the problem since it can enhance throughput of data processing by using a number of computing nodes. First, we have utilized JSS2 for reprocessing of IBUKI (GOSAT: Greenhouse gases Observing Satellite) observation data. IBUKI was launched on Jan. 23rd, 2009, and the data during 6.5 year period has been reprocessed in Nov. 2015. We obtained incredibly high throughput; 30 nodes (360 cores) of Pre-Post system of JSS2 were assigned and resulted in 33 times faster latency. Next, we have used JSS2 for GPM (Global Precipitation Measurement) Core Observatory that was launched on Feb. 28th, 2014. The data during 2.2 year period has been processed and 4 times faster latency was achieved in June 2016 by using 3 nodes at a maximum. As a conclusion, it is shown that JSS2 is a powerful tool to improve data latency of Earth observation data.
内容記述
形態: カラー図版あり
内容記述（英）
Physical characteristics: Original contains color illustrations
地球観測衛星データ処理におけるJAXAスパコン活用の効果検証
AA1630049009.pdf
(2.5MB)
