主要論文

  1. H. Yashiro, K. Terasaki, Y. Kawai, S. Kudo, T. Miyoshi, T. Imamura, K. Minami, H. Inoue, T. Nishiki, T. Saji, M. Satoh, and H. Tomita, 2020: A 1024-Member Ensemble Data Assimilation with 3.5-Km Mesh Global Weather Simulations, in SC20: International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Atlanta, GA, US, 2020 pp. 1-10. doi:10.1109/SC41405.2020.00005
  2. Kotsuki, S., Pensoneault, A., Okazaki, A. and Miyoshi, T., 2020: Weight Structure of the Local Ensemble Transform Kalman Filter: A Case with an Intermediate AGCM., Q. J. R. Meteorol. Soc., 146, Issue732, 3399-3415. doi:10.1002/qj.3852
  3. Otsuka, S., S. Kotsuki, M. Ohhigashi, and T. Miyoshi, 2019: GSMaP RIKEN Nowcast: Global precipitation nowcasting with data assimilation. J. Meteor. Soc. Japan, 97, 1099-1117. doi:10.2151/jmsj.2019-061
  4. Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto and T. Miyoshi, 2018: Assimilation of Himawari-8 All-Sky Radiances Every 10 Minutes: Impact on Precipitation and Flood Risk Prediction. J. Geophys. Res., 123, 965-976. doi:10.1002/2017JD027096
  5. Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien and E. Kalnay, 2017: Assimilating the Global Satellite Mapping of Precipitation Data with the Nonhydrostatic Icosahedral Atmospheric Model NICAM. J. Geophys. Res., 122, 631-650. doi:10.1002/2016JD025355
  6. Arakida, H., T. Miyoshi, T. Ise, S. Shima and S. Kotsuki, 2017: Non-Gaussian data assimilation of satellite-based Leaf Area Index observations with an individual-based dynamic global vegetation model. Nonlinear Processes in Geophys., 24, 553-567. doi:10.5194/npg-24-553-2017
  7. Miyoshi, T., G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Tomita, S. Nishizawa, R. Yoshida, S. A. Adachi, J. Liao, B. Gerofi, Y. Ishikawa, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, M. Otsuka, K. Okamoto, and H. Seko, 2016: "Big Data Assimilation" toward Post-peta-scale Severe Weather Prediction: An Overview and Progress. Proc. of the IEEE, 104, 2155-2179. doi:10.1109/JPROC.2016.2602560
  8. Miyoshi, T., M. Kunii, J. Ruiz, G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Seko, H. Tomita, and Y. Ishikawa, 2016: "Big Data Assimilation" Revolutionizing Severe Weather Prediction. Bull. Amer. Meteor. Soc., 97, 1347-1354. doi:10.1175/BAMS-D-15-00144.1
  9. Miyoshi, T., K. Kondo, and K. Terasaki, 2015: Big Ensemble Data Assimilation in Numerical Weather Prediction. Computer, 48, 15-21. doi:10.1109/MC.2015.332
  10. Miyoshi, T., K. Kondo, and T. Imamura, 2014: The 10240-member ensemble Kalman filtering with an intermediate AGCM. Geophys. Res. Lett., 41, 5264-5271. doi:10.1002/2014GL060863

受賞一覧

年別業績一覧

一緒に研究しませんか?

世界のデータ同化研究を牽引したいという希望に満ちた方、
ぜひデータ同化研究チームまでご連絡ください。
E-mail: da-team-desk(please remove here)@ml.riken.jp

データ同化研究チーム

〒650-0047 兵庫県神戸市中央区港島南町 7-1-26
国立研究開発法人理化学研究所 計算科学研究センター データ同化研究チーム

E-mail: da-team-desk(please remove here)@ml.riken.jp

ページトップへ