Achievements in 2015

Peer-reviewed papers

  1. Seko, H., M. Kunii, S. Yokota, T. Tsuyuki, and T. Miyoshi, 2015: Ensemble experiments using a nested LETKF system to reproduce intense vortices associated with tornadoes of 6 May 2012 in Japan. Progress in Earth and Planetary Science, 2:42. doi:10.1186/s40645-015-0072-3
  2. Kotsuki, S., and K. Tanaka, 2015: SACRA - a method for the estimation of global high-resolution crop calendars from a satellite-sensed NDVI. Hydrology and Earth System Sciences, 19, 4441-4461. doi:10.5194/hess-19-4441-2015
  3. 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
  4. Otsuka, M., M. Kunii, H. Seko, K. Shimoji, M. Hayashi, and K. Yamashita, 2015: Assimilation Experiments of MTSAT Rapid Scan Atmospheric Motion Vectors on a Heavy Rainfall Event. J. Meteorol. Soc. Japan, 93, 459-475. doi:10.2151/jmsj.2015-030
  5. Miyazaki S., K. Saito, J. Mori, T. Yamazaki, T. Ise, H. Arakida, T. Hajima, Y. Iijima, H. Machiya, T. Sueyoshi, H. Yabuki, E.J. Burke, M. Hosaka, K. Ichii, H. Ikawa, A. Ito, A. Kotani, Y. Matsuura, M. Niwano, T. Nitta, R. O'ishi, T. Ohta, H. Park, T. Sasai, A. Sato, H. Sato, A. Sugimoto, R. Suzuki, K. Tanaka, S. Yamaguchi, and K. Yoshimura, 2015: The GRENE-TEA Model Intercomparison Project (GTMIP): overview and experiment protocol for Stage 1. Geosci. Model Dev., 8, 2841-2856. doi:10.5194/gmd-8-2841-2015
  6. Otsuka, S. and T. Miyoshi, 2015: A Bayesian optimization approach to multi-model ensemble Kalman filter with a low-order model. Mon. Wea. Rev., 143, 2001-2012. doi:10.1175/MWR-D-14-00148.1
  7. Ruiz, J. J., and M. Pulido, 2015: Parameter Estimation Using Ensemble Based Data Assimilation in the Presence of Model Error. Mon. Wea. Rev., Volume 143, Issue 5. doi:10.1175/MWR-D-14-00017.1
  8. Ruiz, J. J., T. Miyoshi, S. Satoh, T. Ushio, 2015: A Quality Control Algorithm for the Osaka Phased Array Weather Radar. SOLA, Vol. 11, 48-52. doi:10.2151/sola.2015-011
  9. Kotsuki S., H. Takenaka, K. Tanaka, A. Higuchi and T. Miyoshi, 2015: 1-km-resolution land surface analysis over Japan: Impact of satellite-derived solar radiation. Hydrological Research Letters, 9, 14-19. doi: 10.3178/hrl.9.14
  10. Sawada, M., T. Sakai, T. Iwasaki, H. Seko, K. Saito and T. Miyoshi, 2015: Assimilating high-resolution winds from a Doppler lidar using an ensemble Kalman filter with lateral boundary adjustment. Tellus A, 67, 23473. doi:10.3402/tellusa.v67.23473
  11. Chang, C.-C., S.-C. Yang, and C. Keppenne, 2014: Applications of the mean re-recentering scheme to improve typhoon track prediction: A case study of typhoon Nanmadol (2011). JMSJ Ser. II, 92, 559-584. doi:10.2151/jmsj.2014-604
  12. Terasaki, K., M. Sawada, and T. Miyoshi, 2015: Local Ensemble Transform Kalman Filter Experiments with the Nonhydrostatic Icosahedral Atmospheric Model NICAM. SOLA, 11, 23-26. doi:10.2151/sola.2015-006

Other papers

  1. Penny S. G., and T. Miyoshi, 2015: A local particle filter for high dimensional geophysical systems. Nonlin. Processes Geophys. Discuss., 2, 1631-1658. doi:10.5194/npgd-2-1631-2015

Invited Presentations

  1. [Keynote] Miyoshi: T., "Big Data Assimilation" revolutionizing numerical weather prediction. Symposium on "The Frontier of Numerical Weather Prediction", Beijing, China, 11th December 2015.
  2. Miyoshi, T.: "Big Data Assimilation" Revolutionizing Weather Prediction. NTU, Taiwan, 26th November 2015.
  3. Miyoshi, T.: "Big Data Assimilation" Revolutionizing Weather Prediction. CWB, Taiwan, 25th November 2015.
  4. Miyoshi, T.: "Big Data Assimilation" Revolutionizing Weather Prediction. NCU, Taiwan, 24th November 2015.
  5. Miyoshi, T.: Big Data Assimilation Revolutionizing Numerical Weather Prediction. Workshop Big Data and Environment, Buenos Aires, Argentina, 10-13th November 2015.
  6. Miyoshi, T.: Big Data, Supercomputing, and Data Assimilation. KISTI, Daejeon, Korea, 4th November 2015.
  7. Miyoshi, T.: Big Data, Supercomputing, and Data Assimilation. Atmospheric and Oceanic Science Departmental Seminar Series, Maryland, USA 7-9th October 2015.
  8. Miyoshi, T.: Numerical Weather Prediction: Chaos, Predictability and Data Assimilation. iTHES Colloquium, Wako, Japan, 15th September 2015.
  9. Terasaki, K.: Some aspects of the computation of the 3D normal-mode functions. MODES workshop, 26th August, 2015.
  10. Miyoshi, T.: Data Assimilation toward Big Data and Post-peta-scale Supercomputing: A Personal Perspective. OneNOAA Science Seminar Series, College Park, USA, 24th August 2015.
  11. Miyoshi, T.: Satellite Data Assimilation: A perspective. the Weather-Chaos meeting, College Park, USA, 21th August 2015.
  12. Miyoshi, T.: "Big Data Assimilation" revolutionizing numerical weather prediction. 2nd Mini-Symposium on Computations, Brains and Machine, Wako, Japan, 14th July 2015.
  13. Yang, S.-C.: Adjusting ensemble for EnKF assimilation: applicatiopns to severe weather prediction. 14th CAS-TWAS-WMO Forum Coupled Data Assimilation Symposium, Beijing, 7th July 2015.
  14. Miyoshi, T.: Data Assimilation toward Big Data and Post-peta-scale Supercomputing: A Personal Perspective. 14th CAS-TWAS-WMO Forum Coupled Data Assimilation Symposium, Beijing, China 7th July 2015.
  15. Miyoshi, T.: Covariance Localization and Inflation. 14th CAS-TWAS-WMO Forum Data Assimilation Summer School, Beijing, 2nd July 2015.
  16. Miyoshi, T.: Satellite Data Assimilation: A Perspective. JpGU Annual Meeting (Japan Geoscience Union), Makuhari, Japan, 28th May 2015.
  17. Miyoshi, T.: "Big Data Assimilation" Revolutionizing Severe Weather Forecasting. JpGU Annual Meeting (Japan Geoscience Union), Makuhari, Japan, 26th May 2015.
  18. Miyoshi, T.: Data Assimilation Toward Big Data and Post-Peta-Scale Supercomputing: A Personal Perspective. ICTS Data Assimilation Program organized by CMI, Hong Kong Baptist University, 20th April 2015.
  19. Miyoshi, T.: Numerical Weather Prediction: Chaos, Predictability, and Data Assimilation. ICTS Data Assimilation Program organized by CMI, Hong Kong Baptist University, 20th April 2015.
  20. Miyoshi, T.: Data assimilation toward big data and post-peta-scale supercomputing: a personal perspective. International Workshop on Theoretical Aspects of Ensemble Data Assimilation for the Earth System, Les Houches, France, 6th April 2015.
  21. Shima, S.: Numerical study on the cumulus-stratus transition using the super-droplet method. International Workshop on Cloud Turbulence, Nagoya Institute of Technology, Nagoya, Japan, 5th March 2015.
  22. Miyoshi, T.: Big Data Assimilation" Revolutionizing Severe Weather Forecasting. The 4th International Symposium on Data Assimilation, Kobe, 23rd, February, 2015.
  23. [Keynote] Miyoshi, T.: "Big Data Assimilation" Revolutionizing Severe Weather Forecasting. 95th AMS Annual Meeting, American Meteorological Society, 19th Conference on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface (IOAS-AOLS), Phoenix, AZ, USA, 5th January 2015.

Honors and Awards

  1. Miyoshi, T.: Japan Geoscience Union Nishida Prize 2014, 27th May 2015.
  2. Kondo, K.: The 4th International Symposium on Data Assimilation, Best Poster Award. 25th February 2015.

Working with us

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

Concerns about living in Japan? RIKEN has support for non-Japanese scientists. https://www.riken.jp/en/careers/newcomers/

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

To Top