Data Assimilation Research Team Achievements

Peer-reviewed papers

1. Liang, J., N. Sugimoto, and T. Miyoshi, 2025: Unveiling Energy Conversions of the Venus Atmosphere by the Bred Vectors. Geophysical Research Letters, 52, e2024GL112663. doi:10.1029/2024GL112663
2. Hu G., S. L. Dance, A. Fowler, D. Simanin, J. Waller, T. Auligne, S. Healy, D. Hotta, U. Löhnen, T. Miyoshi, N. C. Prive, O. Stiller, X. Wang, M. Weissmann, 2025: On methods for assessment of the influence and impact of observations in convection-permitting numerical weather prediction. Q. J. Roy. Meteorol. Soc., e4933. doi:10.1002/qj.4933
3. Matsugishi, S., Y. -W. Chen, K. Terasaki, K. Kanemaru, S. Kotsuki, H. Yashiro, K. Yamamoto, M. Satoh, T. Kubota and T. Miyoshi, 2025: NICAM-LETKF JAXA Research Analysis (NEXRA) version 2.0. Geoscience Data Journal, GDJ370011.doi:10.1002/gdj3.70011
4. Matsugishi, S., Y. -W. Chen, K. Terasaki, H. Yashiro, S. Kotsuki, K. Kanemaru, K. Yamamoto, M. Satoh, T. Kubota and T. Miyoshi, 2025: Intercomparison of NICAM-LETKF JAXA Research Analysis (NEXRA) version 2 and 3. SOLA, Vol. 21, 240-244(TBA) (in press)
5. Ohishi, S., Y. Kobayashi, and T. Miyoshi, 2025: Including Cross Correlation between Forecast and Observation Errors in an Ensemble Kalman Filter. Mon. Wea. Rev., 153, 1035-1043, doi.org:10.1175/MWR-D-25-0016.1.
6. Konduru, R. T., R. Bale, M. Tsubokura, and T. Miyoshi, 2025: Transforming Urban Wind Engineering by Taming Extreme Weather Strong Winds Over Urban Skylines with Ultra-High-Resolution Simulations on Supercomputer Fugaku, SCA '25:Proceedings of the 2025 Supercomputing Asia Conference, 79-87. doi:10.1145/3718350.3718353
7. Satoh, M., T. Kawabata, T. Miyakawa, M. Nakano, H. Yashiro, T. Miyoshi, L. Duc, P. -Y. Wu, T. Oizumi, Y. Maejima, J. Taylor, R. Yoshimura, K. Terasaki, Y. Yamada, R. Masunaga, T. Kawasaki, and M. Tanoue, 2025: Achievements in atmospheric sciences by the large-ensemble and high-resolution forecasting studies using the supercomputer Fugaku, Progress in Earth and Planetary Science, 12:64. doi:10.1186/s40645-025-00730-6
8. Baron, P., S. Otsuka, S. Kawamura, and T. Ushio, 2025: Real-time nowcasting of sudden heavy rainfall using artificial neural network and multi-parameter phased array radar, SOLA, doi:10.2151/sola.2025-039 (in press)
9. Mulia, I. E., U. Shimada, N. Ueda , and T. Miyoshi, 2025: Multi-horizon prediction of tropical cyclone intensity and its interpretability with temporal fusion transformer, Scientific Reports (in press)

Invited Presentations

1. Takemasa Miyoshi: Prediction Science: the fifth science integrating inductive and deductive sciences, ISDA Online, January 9, 2025
2. Konduru, R.T., Otsuka, S. and Miyoshi, T.: A new insight on the precipitation emulator "Digi Precip" for skillful forecast. International workshop on Rainfall Climatology over south east Asia, Tokyo Metropolitan University, February 20, 2025
3. Takemasa Miyoshi: ゲリラ豪雨予報と金星大気, 理研第16回情報系研究会, オンライン, February 26, 2025
4. Takemasa Miyoshi: Prediction Science: the fifth science integrating inductive and deductive sciences, ISEE Symposium Frontier of Space-Earth Environmental Research as Predictive Science, Nagoya University, March 6, 2025
5. Otsuka, S., T. Miyoshi, J. Liang, M. Goodliff, G. Saliou, S. Ouala, and P. Tandeo: Toward integration of ML/NWP/DA. Super Computing Asia 2025, Singapore, March 12, 2025
6. Takemasa Miyoshi: RIKEN's activities to integrate DA and AI/ML, DA Forum by University of Melbourne, Bureau of Meteorology, Melbourne, Australia, March 12, 2025
7. Shigenori Otsuka: 「富岳」による天気予報とビッグデータ同化. 第100回関西CAE懇話会,大阪, March 14, 2025, Keynote
8. Otsuka, S. and Miyoshi T.: Global precipitation nowcasting with ConvLSTM and adverarial training. JpGU 2025, Chiba, May 29, 2025

Honors and Awards