Achievements in 2018

Peer-reviewed papers

  1. Hatfield, S. E., Düben, P. D., Chantry, M., Kondo, K., Miyoshi, T., & Palmer, T. N., 2018: Choosing the optimal numerical precision for data assimilation in the presence of model error. Journal of Advances in Modeling Earth Systems, 10, 2177- 2191. doi:10.1029/2018MS001341
  2. Komori, N., T. Enomoto, T. Miyoshi, A. Yamazaki, A. Kuwano-Yoshida and B. Taguchi, 2018: Ensemble-based Atmospheric Reanalysis using a Global Coupled Atmosphere-Ocean GCM. Mon. Wea. Rev., 146, 3311-3323. doi:10.1175/MWR-D-17-0361.1
  3. Ryo Furue, Kohei Takatama, Hideharu Sasaki, Niklas Schneider, Masami Nonaka, Bunmei Taguchi, 2018: Impacts of sea-surface salinity in an eddy-resolving semi-global OGCM. Ocean Modelling, Volume 122, Pages 36-56,. doi:10.1016/j.ocemod.2017.11.004
  4. Michiko OTSUKA, Hiromu SEKO, Kazuki SHIMOJI, Koji YAMASHITA, 2018: Characteristics of Himawari-8 Rapid Scan Atmospheric Motion Vectors Utilized in Mesoscale Data Assimilation. Journal of the Meteorological Society of Japan. Ser. II, 96B, 111-131. doi:10.2151/jmsj.2018-034
  5. Kotsuki, S., Terasaki, K., Yashiro, H., Tomita, H., Satoh, M., & Miyoshi, T., 2018: Online model parameter estimation with ensemble data assimilation in the real global atmosphere: A case with the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) and the Global Satellite Mapping of Precipitation data. Journal of Geophysical Research: Atmospheres, 123, 7375-7392. doi:10.1029/2017JD028092
  6. Lien, G.-Y., D. Hotta, E. Kalnay, T. Miyoshi, and T.-C. Chen, 2018: Accelerating assimilation development for new observing systems using EFSO. Nonlin. Processes Geophys., 25, 129-143. doi:10.5194/npg-25-129-2018
  7. Sawada, Y., T. Nakaegawa, T. Miyoshi, 2018: Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation? Journal of Geophysical Research: Atmospheres, 123, 848-860. doi:10.1002/2017JD027531
  8. Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto, T. Miyoshi, 2018: Assimilation of Himawari-8 all-sky radiances every 10 minutes: Impact on precipitation and flood risk prediction. Journal of Geophysical Research: Atmospheres, 123, 965-976. doi:10.1002/2017JD027096
  9. Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita and K. Bessho, 2018: Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015). Mon. Wea. Rev., 146, 213-229. doi:10.1175/MWR-D-16-0357.1

Invited Presentations

  1. T. Miyoshi: Big Data, Supercomputing, and Data Assimilation: Weather Prediction and Beyond "RIKEN BAIHO Awards", The All-RIKEN Workshop 2018, Wako, Japan, 14th December 2018.
  2. T. Miyoshi: Prediction Science: The 5th Paradigm Fusing the Computational Science and Data Science, BDEC2, Indiana, USA., 29th November 2018.
  3. T. Miyoshi: Big Data Assimilation: achievements and future directions, Meteorological Society of Japan 2018 Fall Meeting, Ogura Special Lecture Joint Session, Sendai, Japan, 29th October 2018.
  4. Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Towa Tachibana, Ryuta Uozumi, Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi: Monitoring GHG emission from rice cropping and the dissemination status of mitigation activities. 11th GEOPSS Asia Pacific Sympodium, Group on Earth Observations, Kyoto, Japan, October 25, 2018.
  5. Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Towa Tachibana, Ryuta Uozumi, Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi: Satellite data based transparent MRV system of GHGs emission from Asian agricultural ecosystems. 11th GEOPSS Asia Pacific Sympodium, Group on Earth Observations, Kyoto, Japan, October 24, 2018.
  6. T. Miyoshi: Pushing the limits: Big Data Assimilation research at RIKEN, Open session with JMA: Sharing plans for international research, JMA HQ Auditorium, Tokyo, Japan, 12th October 2018.
  7. T. Miyoshi: Data assimilation for nonlinear ensemble forecasts, Fourth meeting of the WWRP PDEF Working Group, Tokyo, Japan, 11th October 2018.
  8. Sawada, Y., T. Nakaegawa, T. Miyoshi, and T. Ushiyama: Hydrometeorology as an inversion problem: Can river discharge observations improve the atmosphere by ensemble data assimilation?, 9th Japanese Data Assimilation Workshop, Tokyo, Japan, 10th October 2018.
  9. T. Miyoshi: Satellite data assimilation and parameter estimation with NICAM-LETKF, CEN/CliSAP WORKSHOP "Climate Data Assimilation", Hamburg, Germany, 5th October 2018.
  10. T. Miyoshi: Innovating "Big Data Assimilation" technology for revolutionizing very-short-range severe weather prediction, CREST Symposium on Big Data Application, Tokyo, Japan, 30th September 2018.
  11. Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Towa Tachibana, Ryuta Uozumi, Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi: GHG observation of rice field, Joint JECAM/Asia-RiCE Meeting, Taichung City, Taiwan, 17th September 2018.
  12. Guo-Yuan Lien, Takemasa Miyoshi, Takumi Honda, Shigenori Otsuka: Rapid-update-cycle high-resolution assimilation of radar data: Results from exploratory experiments and potential for operational prediction, 2018 Conference on Weather Analysis and Forecasting, Taipei, Taiwan, 11th September 2018.
  13. T. Miyoshi: Advancing Data Assimilation as a Science Hub: From Weather Forecasting and Beyond, MADA2018, Le Bourget-du Lac, France, 20th August 2018.
  14. Takemasa MIYOSHI, Shunji KOTSUKI, Koji TERASAKI, Keiichi KONDO, Guo-Yuan LIEN, Kenta KUROSAWA, Masaki SATOH, Hirofumi TOMITA, and Eugenia KALNAY: Enhancing Data Assimilation of GPM Observations, AOGS, Honolulu, Hawaii, 4th June 2018.
  15. Guo-Yuan Lien, Seiya Nishizawa, Ryuji Yoshida, Hisashi Yashiro, Tatiana Martsinkevich, Takumi Honda, Shigenori Otsuka, Takemasa Miyoshi, Hirofumi Tomita, and Yutaka Ishikawa: The computational aspect of the SCLAE-LETKF data assimilation system for rapid-update-cycle, high-resolution radar data assimilation, JpGU2018, Chiba, Japan, 20th May 2018.
  16. Guo-Yuan Lien, Takemasa Miyoshi: Issues regarding maintaining ensemble spreads, balance, and high-resolution information in rapid-update-cycle radar data assimilation with the LETKF, JpGU2018, Chiba, Japan, 20th May 2018.
  17. Okazaki, A., Miyoshi, T., Yoshimura, K., Zhang, F.: Toward online data assimilation for the millennium reanalysis, JpGU 2018, Chiba, Japan, 22nd May 2018.
  18. Terasaki, K., T. Miyoshi: Accounting for the observation error correlation in data assimilation, JpGU2018, Chiba, Japan, 20th May 2018.
  19. Miyoshi, T.: Advancing Data Assimilation as a Science Hub. ADAPT seminar, The Pennsylvania State University ADAPT Center, University Park, PA, USA, 20th March 2018.
  20. Miyoshi, T.: Data Assimilation Research at RIKEN. ESSIC Seminar, University of Maryland, MD, USA, 16th March 2018.
  21. Miyoshi, T.: Advancing Data Assimilation as a Science Hub. Departmental Seminar, AOSC, University of Maryland, USA, 15th March 2018.
  22. Miyoshi, T., H. Tomita, S. Satoh, T. Ushio, and Y. Ishikawa: Project Progress Report CREST International Symposium on Big Data Application, Akihabara, 17th January 2018.

Honors and Awards

  1. Miyoshi, T.: Excellent Achievement Award, HPCI (High Performance Computing Infrastructure) Project Report Meeting Program Committee. November 2 ,2018.
  2. Honda, T.: Yamamoto-Syono Award, Meteorological society of Japan. October 30, 2018.
  3. Miyoshi, T.: Gold Medal Prize, Yomiuri Techno Forum. April 25, 2018.
  4. Honda, T: 9th RIKEN Research Incentive Award, "Improvement of Typhoon and heavy rainfall predictions by assimilating radiance observations from a new generation satellite "Himawari-8"". March 15, 2018.
  5. Miyoshi, T: RIKEN BAIHO Award, Research to Fuse Data Analysis with Simulations. June 5, 2018.

Working with us

Please contact us if you are interested in working on cutting-edge data assimilation research.

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Data Assimilation Research Team

7-1-26, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo 650-0047, Japan
RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team

Directions

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

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