Achievements in 2014

Peer-reviewed papers

  1. 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 No. 6, 559-584. doi:10.2151/jmsj.2014-604
  2. Terasaki, K., and T. Miyoshi, 2014: Data Assimilation with Error-Correlated and Non-Orthogonal Observations: Experiments with the Lorenz-96 Model. SOLA, 10, 210-213. doi:10.2151/sola.2014-044
  3. Kotsuki, S., K. Terasaki, and T. Miyoshi, 2014: GPM/DPR Precipitation Compared with a 3.5-km-resolution NICAM Simulation. SOLA, 10, 204-209. doi:10.2151/sola.2014-043
  4. Yang, S.-C., S.-Y. Chen, S.-H. Chen, C.-Y. Huang and C.-S. Chen, 2013: Evaluating the impact of the COSMIC-RO bending angle data on predicting the heavy precipitation episode on 16 June 2008 during SoWMEX-IOP8. Mon. Wea. Rev., 142, 4139-4163. doi:10.1175/MWR-D-13-00275.1
  5. 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
  6. Otsuka, S., M. Takeshita, and S. Yoden, 2014: A numerical experiment on the formation of the tropopause inversion layer associated with an explosive cyclogenesis: Possible role of gravity waves. Progress in Earth and Planetary Science, 1, 19. doi:10.1186/s40645-014-0019-0
  7. Miyoshi, T., K. Kondo, and T. Imamura, 2014: The 10240-member ensemble Kalman filtering with an intermediate AGCM. Geophysical Research Letters, 41, 5264-5271. doi:10.1002/2014GL060863
  8. Yoshimura, K., T. Miyoshi, and M. Kanamitsu, 2014: Observation System Simulation Experiments Using Water Vapor Isotope Information. J. Geophys. Res., 119. doi:10.1002/2014JD021662
  9. Matsuoka, S., H. Sato, O. Tatebe, F. Takatsu, M. A. Jabri, M. Koibuchi, I. Fujiwara, S. Suzuki, M. Kakuta, T. Ishida, Y. Akiyama, T. Suzumura, K. Ueno, H. Kanezashi, and T. Miyoshi, 2014: Extreme Big Data (EBD): Next Generation Big Data Infrastructure Technologies Towards Yottabyte/Year. Supercomputing Frontiers and Innovations, 1, No.2, 89-107. doi:10.14529/jsfi140206
  10. Yoden, S., K. Ishioka, D. Durran, T. Enomoto, Y. Hayashi, T. Miyoshi, and M. Yamada, 2014: Theoretical Aspects of Variability and Predictability in Weather and Climate Systems. Bull. Amer. Meteor. Soc., 95, 1101-1104. doi:10.1175/BAMS-D-14-00009.1
  11. Cecelski, S. F., D.-L. Zhang, and T. Miyoshi, 2014: Genesis of Hurricane Julia, 2010: within an African Easterly Wave: Developing and Non-Developing Members from WRF-LETKF Ensemble Forecasts. J. Atmos. Sci., 71, 2763-2781. doi:10.1175/JAS-D-13-0187.1
  12. Huang, Z-K, Z. Peng, H-N Liu, M-G Zhang, X-G Ma, S-C Yang, S-D Lee, and S-Y Kim, 2014: Development of CMAQ for East Asia CO2 data assimilation under an EnKF framework: a first result. Chinese Science Bulletin, 59.25, 3200-3208. doi:10.1007/s11434-014-0348-9
  13. Tsai, C.-C., S.-C. Yang, and Y.-C. Liou, 2014: Improving Short-Term QPFs with a WRF-LETKF Radar Data assimilation system: OSSEs on Typhoon Morakot (2009). Tellus A, 66, 21804. doi:10.3402/tellusa.v66.21804
  14. Watanabe, S., Y. Hirabayashi, S. Kotsuki, N. Hanasaki, K. Tanaka, C.M.R. Mateo, M. Kiguchi, E. Ikoma, S. Kanae, T. Oki, 2014: Application of performance metrics to climate models for projecting future river discharge in the Chao Phraya River basin. Hydrological Research Letters, 8, 33-38. doi:10.3178/hrl.8.33
  15. Kotsuki, S., K. Tanaka, and S. Watanabe, 2014: Projected hydrological changes and their consistency under future climate in the Chao Phraya River Basin using multi-model and multi-scenario of CMIP5 dataset. Hydrological Research Letters, 8, 27-32. doi:10.3178/hrl.8.27

Invited Presentations

  1. Miyoshi, T.: Big Data Assimilation Revolutionizing Weather Prediction. 13th Japan Science and Technology Agency (JST) Advisory Committee Meeting (13th JST Advisory Committee Meeting), Kyoto, Japan, 3rd October 2014.
  2. Miyoshi, T.: Big Data Assimilation"revolutionizing severe weather forecasting. Workshop on perspectives in computational climate science and 7th OFES International Workshop, Aizu-wakamatsu, Japan, 2nd October 2014.
  3. Miyoshi, T.: Big Data Assimilation"revolutionizing severe weather forecasting. Joint Workshop of 6th International Workshop on Global Cloud Resolving Modeling and 3rd International Workshop on Nonhydrostatic Numerical Models, Kobe, Japan, 25th September, 2014.
  4. Miyoshi, T., M. Kunii, J. Ruiz, H. Seko, S. Satoh, T. Ushio, Y. Ishikawa, H. Tomita, K. Bessho: Recent activities on "Big Data Assimilation" in Japan. WWOSC 2014, Session SCI-PS137, Montreal, Canada, 18th August 2014.
  5. Miyoshi, T.: "Big Data Assimilation" for Revolutionizing Weather Prediction. The 53rd IDC HPC User Forum, Kobe, Japan, 16th July 2014.
  6. Miyoshi, T.: Numerical Weather Prediction and 'Big Data Assimilation', International HPC Summer School 2014, Budapest, Hungary, 3rd June 2014.
  7. Miyoshi, T.: Recent activities on 'Big Data Assimilation' in Japan. The 6th EnKF Workshop, Buffalo, NY, USA, 21st May 2014.
  8. Terasaki, K. and T. Miyoshi: Data assimilations with correlated observation errors and non-orthogonal observation operator. ESA-DA workshop on correlated errors in data assimilation, University of Reading, Reading, UK, 24th April 2014.
  9. S. Shima: Preliminary numerical study on the cumulus-stratus transition induced by the increase of formation rate of aerosols. Workshop on Space Climate, Solar Terrestrial Environment Laboratory, Nagoya University, Japan, 3rd April 2014.
  10. Miyoshi, T.: Ensemble Kalman Filter in Meteorology and "Big Data Assimilation. Mathematical Science on Big Data Assimilation in Meteorology, Kyoto, Japan, 19th Mar 2014.

Honors and Awards

  1. 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.
  2. Yoshimura, K., T. Miyoshi, M. Kanamitsu: Hydraulic Engineering Paper Award, Committee on Hydroscience and Hydraulic Engineering, Japan Society of Civil Engineers, 4th March 2014.

Working with us

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Data Assimilation Research Team

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

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