RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences Prediction Science Research Team
Team Director: Takemasa Miyoshi (Ph.D.)
Research Summary
Integrating the Simulation Science (3rd science) and Data Science (4th science), our long-term goal is to establish the new “Science of Prediction” as the 5th scientific paradigm. Prediction and control have long been studied, but it is still a challenge to apply the traditional methods to large-scale, complex problems. Here we aim to establish the science for prediction and control for large and complex real-world problems. Human society is facing difficult problems such as environmental change, natural resources, population, medicine and health, at the individual level to the global scale. The “Prediction Science” will be a hub connecting a wide range of human knowledge, providing an objective, scientific approach based on prediction to the sustainable development of human society.
Selected Publications
- 1.
Sun, Q., Miyoshi, T., Richard, S.:
"Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter."
Journal of Computational and Applied Mathematics, 419 (2023) - 2.
Miyoshi, T., and Sun, Q.:
"Control Simulation Experiment with the Lorenz's Butterfly Attractor, Nonlin."
Processes Geophys., 29, 133-139 (2022) - 3.
Honda, T., Amemiya, A., Otsuka, S., G.-Y. Lien, Taylor, J., Maejima, Y., Nishizawa, S., Yamaura, T., Sueki, K., Tomita, H., Satoh, S., Ishikawa, Y., and Miyoshi, T.:
"Development of the Real-Time 30-s-Update Big Data Assimilation System for Convective Rainfall Prediction with a Phased Array Weather Radar Description and Preliminary Evaluation"
J. Adv. Modeling Earth Systems, 14(6), e2021MS002823 (2022) - 4.
Kotsuki, S., Sato, Y., Miyoshi, T.:
"Data assimilation for climate research: Model parameter estimation of large‐scale condensation scheme"
Journal of Geophysical Research: Atmospheres, 125, e2019JD031304 (2020). - 5.
Kotsuki, S., Kurosawa, K., Otsuka, S., Terasaki, K., and Miyoshi. T.:
"Global Precipitation Forecasts by Merging Extrapolation-Based Nowcast and Numerical Weather Prediction with Locally Optimized Weights"
Wea. Forecasting, 34, 701–714 (2019) - 6.
Kotsuki, S., Kurosawa, K., and Miyoshi T.:
"On the Properties of Ensemble Forecast Sensitivity to Observations"
Quarterly Journal of the Royal Meteorological Society, 145, 1897-1914 (2019). - 7.
Kondo, K., and Miyoshi, T.:
"Non-Gaussian statistics in global atmospheric dynamics: a study with a 10 240-member ensemble Kalman filter using an intermediate atmospheric general circulation model"
Nolin. Processes Geophs., 26, 211-225 (2019). - 8.
Otsuka, S., Kotsuki, S., Ohhigashi, M., Miyoshi T.:
"GSMaP RIKEN Nowcast: Global Precipitation Nowcasting with Data Assimilation"
Journal of the Meteorological Society of Japan. Ser. II, 2019, Volume 97, Issue 6, Pages 1099-1117 (2019).
Events
Related Links
Contact Information
Lab Members
Principal investigator
- Takemasa Miyoshi
- Team Director
Core members
- Shigenori Otsuka
- Senior Research Scientist
- Arata Amemiya
- Research Scientist
- James David Taylor
- Research Scientist
- Michael Robert Goodliff
- Research Scientist
- Shun Ohishi
- Research Scientist
- Tristan Erwan Marie Hascoet
- Research Scientist
- Yuta Tarumi
- Postdoctoral Researcher
- Shungo Tonoyama
- Research Associate
- Tatsuro Iwanaka
- Research Associate
- Takahisa Ishimizu
- Technical Staff I
- Takashi Sakajo
- Senior Visiting Scientist
- Pierre Francois Yves Tandeo
- Visiting Scientist
- Juan Ruiz
- Visiting Scientist
- Luciano Vidal
- Visiting Scientist
7-1-26,Minatojima-minami-machi,
Chuo-ku,Kobe,Hyogo
650-0047,Japan
Email: da-team-desk@ml.riken.jp