2025年業績一覧
査読付原著論文
- 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
- 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
- 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
- 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)
- 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.
- 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
- 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
- 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, 21, 319-328, doi:10.2151/sola.2025-039
- Mulia, I. E., U. Shimada, N. Ueda, T. Miyoshi, and M. T. Maulana, 2025: Multi-horizon prediction of tropical cyclone intensity and its interpretability with temporal fusion transformer, Scientific Reports, 15, 31284, doi:10.1038/s41598-025-15522-7
- Huo, Z., Y. Liu, J. Taylor, Y. Zhou, A. Amemiya, H. Fan, T. Miyoshi, 2025: Incremental Analysis Updates in a Convective-Scale Ensemble Kalman Filter Using Minute-by-Minute Phased Array Radar Observations, Journal of Advances in Modeling Earth Systems (in press)
招待講演
- Takemasa Miyoshi: Prediction Science: the fifth science integrating inductive and deductive sciences, ISDA Online, 2025年1月9日
- 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, 2025年2月20日
- 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, 2025年2月26日
- 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, 2025年3月6日
- 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, 2025年3月12日
- Takemasa Miyoshi: RIKEN's activities to integrate DA and AI/ML, DA Forum by University of Melbourne, Bureau of Meteorology, Melbourne, Australia, 2025年3月12日
- 大塚成徳: 「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, 2025年3月14日, Keynote
- Otsuka, S. and Miyoshi T.: Global precipitation nowcasting with ConvLSTM and adverarial training. JpGU 2025,千葉, May 29, 2025
受賞
- 三好 建正、雨宮 新、大塚 成徳、James Taylor、前島 康光、本田 匠: 理研梅峰賞「「富岳」を用いた30秒ごとに更新するリアルタイム数値天気予報」2025年3月14日.
- Jianyu Liang: 理研桜舞賞 (研究奨励賞) 「ブレッドベクトルを用いた金星大気の不安定性解析」2025年3月14日.
- Lin Li: 理研桜舞賞 (研究奨励賞) 「Chaos suppression through Chaos enhancement」2025年3月14日.
- 竹田航太: R-CCS表彰「表彰・受賞」枠 Best Presentation Award for Young Researcher /The 20th International Conference on Flow Dynamics 2024, 2025年3月.
