@inproceedings{oai:jaxa.repo.nii.ac.jp:00003484,
 author = {齋藤, 紀男 and 上田, 陽子 and 田中, 誠 and 中西, 功 and 仁尾, 友美 and 小西, 利幸 and 南, 貴博 and 井口, 茂 and 井上, 淳一 and 鳥居, 雅也 and Saito, Norio and Ueda, Yoko and Tanaka, Makoto and Nakanishi, Isao and Nio, Tomomi and Konishi, Toshiyuki and Minami, Takahiro and Iguchi, Shigeru and Inoue, Junichi and Torii, Masaya},
 book = {宇宙航空研究開発機構特別資料: 第48回流体力学講演会/第34回航空宇宙数値シミュレーション技術シンポジウム論文集, JAXA Special Publication: Proceedings of the 48th Fluid Dynamics Conference / the 34th Aerospace Numerical Simulation Symposium},
 month = {Dec},
 note = {第48回流体力学講演会/第34回航空宇宙数値シミュレーション技術シンポジウム (2016年7月6日-8日. 金沢歌劇座), 金沢市, 石川, 48th Fluid Dynamics Conference /the 34th Aerospace Numerical Simulation Symposium (July 6-8, 2016. The Kanazawa Theatre), Kanazawa, Ishikawa, Japan, Earth observation by satellites is an important tool for scientific study of global environmental changes. Observation data are reprocessed almost every year according to progress in computational model to obtain physical information from observation. As the amount of observation data grows day by day, reprocessing time of the data expands longer and longer. However, data latency is an important subject because quick access to earth observation data considerably encourages research into global environmental 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 GOSAT(GOSAT: Greenhouse gases Observing Satellite) observation data. GOSAT 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 shorter latency. Next, we 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 shorter 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., 形態: カラー図版あり, Physical characteristics: Original contains color illustrations, 資料番号: AA1630031009, レポート番号: JAXA-SP-16-007},
 pages = {91--96},
 publisher = {宇宙航空研究開発機構(JAXA), Japan Aerospace Exploration Agency (JAXA)},
 title = {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},
 volume = {JAXA-SP-16-007},
 year = {2016}
}