Achievements in 2024
Peer-reviewed papers
- Terasaki, K. and T. Miyoshi, 2024: Including the horizontal observation error correlation in the ensemble Kalman filter: idealized experiments with NICAM-LETKF. Mon. Wea. Rev., 152, 277-293. doi:10.1175/MWR-D-23-0053.1
- Liang, J., N. Sugimoto, and T. Miyoshi, 2024: Analyzing the Instabilities in the Venus Atmosphere Using Bred Vectors. Journal of Geophysical Research: Planets, 129, e2023JE008067. doi:10.1029/10.1029/2023JE008067
- Ohishi, S., T. Miyoshi, and M. Kachi, 2024: Impact of atmospheric forcing on SST in the LETKF-based ocean research analysis (LORA), Ocean Modelling, 189, 102357. doi:10.1016/j.ocemod.2024.102357
- Takeda, K., S. Kaji, and T. Miyoshi, 2024: Topological regularization on numerical simulations of the advection equation, JSIAM Letters, 16, 53-56. doi:10.14495/jsiaml.16.53
- Furukawa, K., H. Sakamoto, M. Ohhigashi, S. Shima, T. Sluka, and T. Miyoshi, 2024: Particle filter data assimilation for ubiquitous unstable trajectories of two-dimensional three-state cellular automata. Nonlinear Dyn., doi:10.1007/s11071-024-09803-5
- Ohishi, S., T. Miyoshi, T. Ando, T. Higashiuwatoko, E. Yoshizawa, H. Murakami, and M. Kachi, 2024: LETKF-based Ocean Research Analysis (LORA) version 1.0, Geoscience Data Journal, 11, 995-1006. doi:10.1002/gdj3.271
- Takeda, K., and T. Sakajo, 2024: Uniform error bounds of the ensemble transform Kalman filter for chaotic dynamics with multiplicative covariance inflation, SIAM/ASA Journal on Uncertainty Quantification, 12(4), 1315-1335. doi:10.1137/24M1637192
- Li, L., J. Li, and T. Miyoshi, 2024: Chaos suppression through Chaos enhancement, Nonlinear Dyn., doi:10.1007/s11071-024-10426-z
Invited Presentations
- K. Furukawa, Well-Posedness of One-Dimensional Drift-Diffusion Equations under Dynamic Conditions and the Fourth Boundary Condition, The 25th Northeastern Symposium on Mathematical Analysis, Hokkaido University, Sapporo, February 20, 2024
- Takemasa Miyoshi, Advances and applications of satellite data assimilation of clouds, precipitation, and the ocean, DA Forum by University of Melbourne, Bureau of Meteorology, Melbourne, Australia, March 15, 2024
- Takemasa Miyoshi, Tokyo Olympics/Paralympics forecast experiment with phased array weather radar, Deepdive session at IMT Atlantique, Brest, France, April 3, 2024
- Takemasa Miyoshi, Every 30-second Phased Array Radar Data Assimilation Proven Effective for Short-range Convective Weather Forecast, 8th WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction and Earth System Prediction, Norrköping, Sweden, May 28, 2024, Keynote
- Takemasa Miyoshi, Big Data Assimilation: Real-time 30-Second-Refresh Heavy Rain Forecast Using Fugaku during Tokyo Olympics and Paralympics, Central Weather Administration, Chinese Taipei, June 18, 2024
- Takemasa Miyoshi, Toward next 100 years of data assimilation and numerical weather prediction, MSROC Centennial Celebration and Symposium, Central Weather Administration, Chinese Taipei, June 19, 2024, Keynote
- Takemasa Miyoshi, Big Data Assimilation Revolutionizing Numerical Weather Prediction Using Fugaku, 24th International Conference on Computational Science (ICCS2024), Malaga, Spain, July 2, 2024, Keynote
Honors and Awards
- Yasumitsu Maejima: RIKEN Oubu Research Incentive Award, Observing System Simulation Experiments of a Rich Phased Array Weather Radar Network Covering Kyushu for the July 2020 Heavy Rainfall Event, 12th March 2024.