Achievements in 2019

Peer-reviewed papers

  1. Koji Terasaki, Shunji Kotsuki, Takemasa Miyoshi, 2019: Multi-Year Analysis Using the NICAM-LETKF Data Assimilation System. SOLA, 2019, 15, p.41-46. doi:10.2151/sola.2019-009
  2. Yasumitsu MAEJIMA, Takemasa MIYOSHI, Masaru KUNII, Hiromu SEKO, Kae SATO, 2019: Impact of Dense and Frequent Surface Observations on 1-Minute-Update Severe Rainstorm Prediction: A Simulation Study. Journal of the Meteorological Society of Japan, Ser. II, Volume 97, Issue 1, Pages 253-273. doi:10.2151/jmsj.2019-014
  3. Sawada, Y., Okamoto, K., Kunii, M., & Miyoshi, T., 2019: Assimilating every-10-minute Himawari-8 infrared radiances to improve convective predictability. Journal of Geophysical Research: Atmospheres, 124, 2546-2561. doi:10.1029/2018JD029643
  4. Okamoto, K, Sawada, Y, Kunii, M., 2019: Comparison of assimilating all-sky and clear-sky infrared radiances from Himawari-8 in a mesoscale system. Q J R Meteorol Soc., 145 745-766. doi:10.1002/qj.3463
  5. Takumi Honda, Shohei Takino, Takemasa Miyoshi, 2019: Improving a Precipitation Forecast by Assimilating All-Sky Himawari-8 Satellite Radiances: A Case of Typhoon Malakas (2016) SOLA, Volume 15, Pages 7-11. doi:10.2151/sola.2019-002
  6. Shunji Kotsuki, Koji Terasaki, Kaya Kanemaru, Masaki Satoh, Takuji Kubota, Takemasa Miyoshi, 2019: Predictability of Record-Breaking Rainfall in Japan in July 2018: Ensemble Forecast Experiments with the Near-Real-Time Global Atmospheric Data Assimilation System NEXRA. SOLA, Volume 15A, Pages 1-7. doi:10.2151/sola.15A-001
  7. S. Takino, T. Honda, T. Miyoshi, T. Tsukada, 2019: Improving prediction of river-basin precipitation by assimilating every-10-minute all-sky Himawari-8 infrared satellite radiances - A case of Typhoon Malakas (2016) International Commission On Large Dams 2019 Symposium Proceedings, Volume 2, p339.
  8. Kotsuki, S., K. Kurosawa, S. Otsuka, K. Terasaki, T. Miyoshi, 2019: Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights, Wea. Forecasting, 34, 701-714. doi:10.1175/WAF-D-18-0164.1
  9. Okazaki, A., Honda, T., Kotsuki, S., Yamaji, M., Kubota, T., Oki, R., Iguchi, T., Miyoshi, T., 2019: Simulating precipitation radar observations from a geostationary satellite, Atmos. Meas. Tech., 12, 3985-3996. doi:10.5194/amt-12-3985-2019
  10. Kotsuki S., Kurosawa K., Miyoshi T., 2019: On the Properties of Ensemble Forecast Sensitivity to Observations. Quarterly Journal of the Royal Meteorological Society, 145, 1897-1914. doi:10.1002/qj.3534
  11. Kondo, K., T. Miyoshi, 2019: Non-Gaussian statistics in global atmospheric dynamics: a study with a 10240-member ensemble Kalman filter using an intermediate atmospheric general circulation model. Nolin. Processes Geophys., 26, 211-225. doi:10.5194/npg-26-211-2019
  12. Okazaki, A., Yoshimura, K., 2019: Global evaluation of proxy system models for stable water isotopes with realistic atmospheric forcing. Journal of Geophysical Research: Atmospheres, 124, 8972- 8993. doi:10.1029/2018JD029463
  13. Kenta Kurosawa, Yusuke Uchiyama, Taichi Kosako, 2019: Development of a numerical marine weather routing system for coastal and marginal seas using regional oceanic and atmospheric simulations, Ocean Engineering, Volume 195, 2020, 106706, ISSN 0029-8018. doi:10.1016/j.oceaneng.2019.106706
  14. Steven J. Greybush, Eugenia Kalnay, R. John Wilson, Ross N. Hoffman, Thomas Nehrkorn, Mark Leidner, Janusz Eluszkiewicz, Hartzel E. Gillespie, Matthew Wespetal, Yongjing Zhao, Matthew Hoffman, Patrick Dudas, Timothy McConnochie, Armin Kleinböhl, David Kass, Daniel McCleese, Takemasa Miyoshi, 2019: The Ensemble Mars Atmosphere Reanalysis System (EMARS) Version 1.0, Geoscience Data Journal, Volume 6, Issue 2 November 2019 Pages 137-150, 23 August 2019. doi:10.1002/gdj3.77
  15. Taeka AWAZU, Shigenori OTSUKA, Takemasa MIYOSHI, 2019: Verification of Precipitation Forecast by Pattern Recognition, Journal of the Meteorological Society of Japan. Ser. II, Volume 97, Issue 6, Pages 1173-1189. doi:10.2151/jmsj.2019-066
  16. Shigenori OTSUKA, Shunji KOTSUKI, Marimo OHHIGASHI, Takemasa MIYOSHI, 2019: GSMaP RIKEN Nowcast: Global Precipitation Nowcasting with Data Assimilation, Journal of the Meteorological Society of Japan. Ser. II, Volume 97, Issue 6, Pages 1099-1117. doi:10.2151/jmsj.2019-061

Invited Presentations

  1. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ESSIC seminar, College Park, MD, USA, 28th March 2019.
  2. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ADAPT Co-Sponsoresd Seminar, University Park, PA, USA, 25th March 2019.
  3. T. Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, RIMS Gasshuku Seminar 2019 for Data assimilation, Kyoto, Japan, 20th March 2019.
  4. T. Miyoshi: Introductory Lecture for data assimilation, RIMS Gasshuku Seminar 2019 for Data assimilation, Kyoto, Japan, 18th March 2019.
  5. Hironori Arai, Wataru Takeuchi, Kei Oyoshi, Lam Dao Nguyen, Towa Tachibana, Ryuta Uozumi, Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi: Low cost and transparent MRV system of GHG emissions based on satellite remote sensing data case study on CH4 emission from the Mekong delta, 27th IIS forum "Earth observation, disaster monitoring and risk assessment from space", Tokyo, Japan, 6th March 2019.
  6. Takemasa Miyoshi, Shigenori Otsuka, Takumi Honda, Guo-Yuan Lien, Yasumitsu Maejima, Yoshito Yoshizaki, Hiromu Seko, Hirofumi Tomita, Shinsuke Satoh, Tomoo Ushio, Tatiana V. Martsinkevich, Balazs Gerofi, Yutaka Ishikawa: Big Data Assimilation: Past 5 Years and Perspectives for the Future, ICMCX-XIII, Okinawa, Japan, 6th March 2019.
  7. T. Miyoshi: Big Data, Supercomputing, and Data Assimilation: Weather Prediction and Beyond, LMD-X seminar, Paris, France, 26th Feburuary 2019.
  8. Hironori Arai: Wataru Takeuchi,Kei Oyoshi, Lam Dao Nguyen,Towa Tachibana, Ryuta Uozumi,Koji Terasaki, Takemasa Miyoshi, Hisashi Yashiro, Kazuyuki Inubushi, Satellite data based MRV system of GHGs emission from tropical rice paddies, ALOS Kyoto & Carbon Initiative 25th Science Team meeting, Tokyo, Japan, 5th Feburuay 2019.
  9. Takemasa Miyoshi, Hirofumi Tomita, Shinsuke Satoh, Tomoo Ushio, Yutaka Ishikawa: Project Report, CREST International Symposium on Big Data Application, Tokyo, Japan, 14th January 2019.
  10. Kotsuki S., Sato Y., Terasaki K., Yashiro H., Tomita H., Satoh M., Miyoshi T.: Model Parameter Estimation with Data Assimilation using NICAM-LETKF. JpGU Meeting 2019, Chiba, Japan, 29th May 2019.
  11. Arakida, H., S. Kotsuki, S. Otsuka, Y. Sawada, T. Miyoshi: Data assimilation experiments with MODIS LAI observations and the dynamic global vegetation model SEIB-DGVM over Siberia, JPGU2019, Chiba, Japan, 29th May 2019.
  12. Takemasa Miyoshi: Big data assimilation: A New Science for Weather Prediction and Beyond, 14th International EnKF Workshop in Voss, PARK HOTEL VOSSEVANGEN, Voss, Norway, 4th June 2019.
  13. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, Seminar, DWD, Frankfurt, Germany, 13th June 2019.
  14. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, Seminar, LMU, Munich, Germany, 17th June 2019.
  15. Takemasa Miyoshi: HPC challenges in numerical climate simulation and weather prediction, International HPC Summer School 2019, R-CCS, Kobe, Japan, 10th July 2019.
  16. Takemasa Miyoshi: Big Data Assimilation A New Science for Weather Prediction and Beyond, 6th CREST "Big Data Application" Camp for Researchers, Shonan Village Center, Kanagawa, Japan, 26th September 2019.
  17. Takemasa Miyoshi: Big Data Assimilation Incorporating Deep Learning with Phased Array Radar Data and Numerical Weather Prediction, BDEC2 San Diego, La Jolla Shores Hotel, San Diego, USA, 16th October 2019.
  18. Takemasa Miyoshi: Big Data Assimilation: 30-second-update Weather Forecasting and Perspectives toward DA-AI Integration, Big Data, Data Assimilation and Uncertainty Quantification, Institut Henri Poincaré, Paris, France, 12th November 2019.
  19. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, ACADEMIA SINICA, Taipei, Taiwan, 27th November 2019.
  20. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, National Taiwan University, Taipei, Taiwan, 28th November 2019.
  21. Takemasa Miyoshi: Big Data Assimilation: A New Science for Weather Prediction and Beyond, National Central University, Taoyuan City, Taiwan, 29th November 2019.
  22. Otsuka, S., T. Miyoshi: Overview of the rapid-update weather forecasting with the phased-array weather radar, 2019 6th KNU CARE Workshop on Phase array radar and Nowcasting, Daegu, South Korea, 5th December 2019.
  23. Otsuka, S., M. Ohhigashi, T. Miyoshi: Three-dimensional precipitation nowcasting with the phased-array weather radar, 2019 6th KNU CARE Workshop on Phase array radar and Nowcasting, Daegu, South Korea, 5th December 2019.

Honors and Awards

  1. Shunji Kotsuki: RIKEN Oubu Research Incentive Award, Advancing Ensemble Data Assimilation-based Global Weather Forecast System. 12th March 2019.

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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