Selected Papers

  1. Sun, Q., T. Miyoshi, S. Richard, 2023: Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter., Journal of Computational and Applied Mathematics. doi:10.1016/j.cam.2022.114772
  2. Miyoshi, T. and Q. Sun, 2022: Control Simulation Experiment with the Lorenz's Butterfly Attractor, Nonlin. Processes Geophys., 29, 133-139. doi:10.5194/npg-29-133-2022
  3. Honda, T., A. Amemiya, S. Otsuka, G.-Y. Lien, J. Taylor, Y. Maejima, S. Nishizawa, T. Yamaura, K. Sueki, H. Tomita, S. Satoh, Y. Ishikawa, and T. Miyoshi, 2022: Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar: Description and Preliminary Evaluation, J. Adv. Modeling Earth Systems, 14(6), e2021MS002823. doi:10.1029/2021MS002823
  4. 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
  5. 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
  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

Honors and Awards

  • Miyoshi Takemasa: 'Awards for Science and Technology' The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology, 数値天気予報を革新するビッグデータ同化の研究. 8th Aril 2022.
  • Miyoshi Takemasa,Kouji Terasaki: RIKEN BAIHO Award, Construction of new weather forecast system by large-scale ensemble computations using global cloud resolving model and localized ensemble Kalman filter on Fugaku. 23rd March 2022.
  • James Taylor: RIKEN Oubu Research Incentive Award, Oversampling Reflectivity Observations from a Geostationary Precipitation Radar Satellite: Impact on Typhoon Forecasts within a Perfect Model OSSE Framework. 23rd March 2022.
  • Ohishi, S.: JOC The Young Author Award: Frontolysis by surface heat flux in the eastern Japan Sea: importance of mixed layer depth 28th November 2020.
  • Miyoshi, T.: FY2020 Prime Minister's Commendations to Contributors for Disaster Prevention. 1st September 2020.
  • Shigenori Otsuka: RIKEN Oubu Research Incentive Award, Development of a novel three-dimensional precipitation nowcast method and its real-time demonstration. 3rd April 2020.
  • Shunji Kotsuki: RIKEN Oubu Research Incentive Award, Advancing Ensemble Data Assimilation-based Global Weather Forecast System. 12th March 2019.
  • Miyoshi, T.: Excellent Achievement Award, HPCI (High Performance Computing Infrastructure) Project Report Meeting Program Committee. 2nd November 2018.
  • Honda, T.: Yamamoto-Syono Award, Meteorological society of Japan. 30th October 2018.
  • Miyoshi, T.: Gold Medal Prize, Yomiuri Techno Forum. 25th April 2018.
  • 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"". 15th March 2018.
  • Miyoshi, T: RIKEN BAIHO Award, Research to Fuse Data Analysis with Simulations. 5th June 2018.
  • Satoh, M., H. Tomita, H. Yashiro, H. Miura, C. Kodama, T. Seiki, A. Noda, Y. Yamada, D. Goto, M. Sawada, T. Miyoshi, Y. Niwa, M. Hara, T. Ohno, S. Iga, T. Arakawa, T. Inoue, H. Kubokawa, 2014: The non-hydrostatic icosahedral atmospheric model: description and development. Progress in Earth and Planetary Science, 1:18. doi:10.1186/s40645-014-0018-1 The Most Cited Paper Award 2017 (by Japan Geoscience Union). 18th April 2017.
  • Miyoshi, T.: Editor's Award, Monthly Weather Review (by American Meteorological Society, Seattle). January 2017.
  • Satoh, M., H. Tomita, H. Yashiro, H. Miura, C. Kodama, T. Seiki, A. Noda, Y. Yamada, D. Goto, M. Sawada, T. Miyoshi, Y. Niwa, M. Hara, T. Ohno, S. Iga, T. Arakawa, T. Inoue, H. Kubokawa, 2014: The non-hydrostatic icosahedral atmospheric model: description and development. Progress in Earth and Planetary Science, 1:18. doi:10.1186/s40645-014-0018-1
    The Most Accessed Paper Award 2016 (by Japan Geoscience Union). 22nd May 2016.
  • Miyoshi, T.: Meteorological Society of Japan Award. 19th May 2016.
  • Guo-Yuan Lien: 7th RIKEN Research Incentive Award. "Development of Precipitation Data Assimilation Method using Ensemble Kalman Filter". 30th March 2016.
  • Miyoshi, T.: Japan Geoscience Union Nishida Prize 2014. 27th May 2015.
  • Kondo, K.: The 4th International Symposium on Data Assimilation, Best Poster Award. 25th Feburuary 2015.
  • Miyoshi, T.: The Young Scientists' Prize, The Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology. 15th April 2014.
  • Yoshimura, K., Miyoshi, T., M. Kanamitsu: Hydraulic Engineering Paper Award, Committee on Hydroscience and Hydraulic Engineering, Japan Society of Civil Engineers, . 4th March 2014.

List of Yearly Achievements

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

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RIKEN Center for Computational Science (R-CCS) Data Assimilation Research Team

Directions

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