Achievements in 2026

Peer-reviewed papers

  1. Arcucci, R., Healy, S., Dance, S., T. Miyoshi , et al, 2026: The convergence of machine learning and data assimilation in Earth system science. npj Artif. Intell. 2, 48, doi.org/10.1038/s44387-026-00107-0
  2. Amemiya, A. and T. Miyoshi, 2026: Impact of reduced non-Gaussianity on analysis and forecast accuracy by assimilating every-30s radar observation with ensemble Kalman filter: idealized experiments of deep convection, Nonlinear Processes in Geophysics, 33, 1-16, doi:10.5194/npg-33-1-2026
  3. Miyoshi, T., 2026: A duality principle for chaotic systems: from data assimilation to efficient control, Nonlinear Dyn., 114, 105, doi:10.1007/s11071-025-12021-2
  4. Hascoet, T., V. Pellet, S. Oishi and T. Miyoshi, 2026: Differentiable river routing for end-to-end learning of hydrological processes, J. Geophys. Res. - Machine Learning and Computation, 3, e2025JH000760, doi:10.1029/2025JH000760
  5. Guerrieri, J. M., M. Pulido, T. Miyoshi, A. Amemiya, and J. J. Ruiz, 2026: Localization in the mapping particle filter, Nonlinear Processes in Geophysics, 33, 33-49, doi:10.5194/npg-33-33-2026
  6. Konduru, R. T., J. Liang, S. Otsuka, and T. Miyoshi, 2026: Observing Systems Simulation Experiments of Hypothetical Hourly Global Coverage of Microwave Satellite Radiances: Imbalance and Adaptive Observation Error Inflation, J. Geophys. Res. - Atmosphere, 131, e2025JD044041, doi.org:10.1029/2025JD044041
  7. Almeida, A. P., H. M. J. Barbosa, M. J. Henrique, S. R. Garcia, D. J. Gagne, K. Zhou, T. Kubota, T. Ushio, S. Otsuka, S. Pfreundschuh, and A. J. P. Calheiros, 2026: A Regional Benchmark for Deep Learning–Based Hourly Precipitation Nowcasting in Latin America, IEEE Access, 14, 38306-38331, doi:10.1109/ACCESS.2026.3670767
  8. Fujisawa, Y., S. Murakami, N. Sugimoto, N. Komori, M. Takagi, T. Imamura, T. Horinouchi, G. L. Hashimoto, M. Ishiwatari, T. Enomoto, T. Miyoshi, H. Kashimura, and Y.-Y. Hayashi, 2026: ALERA-V version 1.0: an objective analysis dataset of the Venus atmosphere, Geoscience Data Journal, 13, e70080, doi:10.1002/gdj3.70080
  9. Taylor, J., A. Amemiya, T. Honda, S. Otsuka, Y. Maejima, and T. Miyoshi, 2026: Rapid 30-second-update numerical nowcasting with multi-parameter phased array radar observations: skill comparison with an advection model, SOLA (in press)

Invited Presentations

  1. Shigenori Otsuka, Takemasa Miyoshi: Rapid-update precipitation predictions with HPC and AI, SupercomputingAsia 2026 / The International Conference on High Performance Computing in Asia-Pacific Region 2026, Osaka, Japan, January 26, 2026
  2. Takemasa Miyoshi: ビッグデータ同化:ゲリラ豪雨予測から気象制御への挑戦, 第10回気象ビジネスフォーラム~AIと気象ビジネス~, Tokyo, Japan, February 19, 2026
  3. Tatsuro Iwanaka, Takeshi Imamura, Shohei Aoki, Hideo Sagawa: 金星大気の物質循環, 惑星圏シンポジウム2026, Sendai, Japan, March 2, 2026
  4. Takemasa Miyoshi: Osaka Expo 2025 Weather on Fugaku: Synergizing Big Data Assimilation and AI, JAMSTEC International Weather and Climate Modeling(IWCM) Workshop 2026, Yokohama, Japan, March 6, 2026

Honors and Awards

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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