RIKEN Center for Computational Science Data Assimilation Research Team
Team Leader: Takemasa Miyoshi (Ph.D.)
Research Summary
Data assimilation (DA) is a cross-disciplinary science to synergize computer simulations and real-world data, based on statistical mathematics and dynamical systems theory. As computer technology advances and enables precise simulations, it will become more important to compare simulations with real-world data.
We are researching and developing advanced DA methods and their various applications, and we aim to integrate computer simulations and real-world data in the most effective way. Particularly, we tackle the challenging problems involved in developing efficient and accurate DA systems for “big simulations” with real-world big data from various sources including advanced sensors. Our specific foci include 1) theoretical and algorithmic developments for efficient and accurate DA; 2) development of DA methods and applications by taking advantage of the world-leading K computer and big data derived from advanced new sensors; and 3) the exploration of new DA applications in wider simulation fields. These advanced DA studies will enhance simulation capabilities and lead to better use of high-performance computers.
Main Research Fields
- Mathematical & Physical Sciences
Related Research Fields
- Informatics
Keywords
- Data Assimilation
- Numerical Weather Prediction
- Large Scale Simulation
- Ensemble Data Assimilation
- Natural disaster prediction
Research Subjects
- Ensemble-based data assimilation suitable to various high-dimensional simulations
- Theoretical research on challenging problems in data assimilation
- Wide applications of data assimilation
- Cutting-edge data assimilation research on geophysical applications
- Data assimilation using Big Data
Selected Publications
- 1.Kotsuki, S., K. Kurosawa, and T. Miyoshi.:
"On the Properties of Ensemble Forecast Sensitivity to Observations"
Quart. J. Roy. Meteorol. Soc., in press. doi:10.1002/qj.3534 (2019). - 2.Honda, T., S. Kotsuki, G.-Y. Lien, Y. Maejima, K. Okamoto and T. Miyoshi.:
"Assimilation of Himawari-8 All-Sky Radiances Every 10 Minutes: Impact on Precipitation and Flood Risk Prediction"
J. Geophys. Res., 123, 965-976 (2018). - 3.Honda, T., T. Miyoshi, G.-Y. Lien, S. Nishizawa, R. Yoshida, S. A. Adachi, K. Terasaki, K. Okamoto, H. Tomita and K. Bessho.:
"Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)"
Mon. Wea. Rev., 146, 213-229 (2018). - 4.Kotsuki, S., T. Miyoshi, K. Terasaki, G.-Y. Lien and E. Kalnay.:
"Assimilating the Global Satellite Mapping of Precipitation Data with the Nonhydrostatic Icosahedral Atmospheric Model NICAM"
J. Geophys. Res., 122, 631-650 (2017). - 5.Arakida, H., T. Miyoshi, T. Ise, S. Shima and S. Kotsuki.:
"Non-Gaussian data assimilation of satellite-based Leaf Area Index observations with an individual-based dynamic global vegetation model"
Nonlinear Processes in Geophys., 24, 553-567 (2017). - 6.Miyoshi, T., G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Tomita, S. Nishizawa, R. Yoshida, S. A. Adachi, J. Liao, B. Gerofi, Y. Ishikawa, M. Kunii, J. Ruiz, Y. Maejima, S. Otsuka, M. Otsuka, K. Okamoto, and H. Seko.:
"“Big Data Assimilation” toward Post-peta-scale Severe Weather Prediction: An Overview and Progress"
Proc. of the IEEE, 104, 2155-2179 (2016). - 7.Miyoshi, T., M. Kunii, J. Ruiz, G.-Y. Lien, S. Satoh, T. Ushio, K. Bessho, H. Seko, H. Tomita, and Y. Ishikawa:
"“Big Data Assimilation” Revolutionizing Severe Weather Prediction"
Bull. Amer. Meteor. Soc., 97, 1347-1354 (2016). - 8.Otsuka, S., S. Kotsuki, and T. Miyoshi:
"Nowcasting with data assimilation: a case of Global Satellite Mapping of Precipitation"
Weather and Forecasting, 31, 1409-1416 (2016). - 9.Miyoshi, T., K. Kondo, and K. Terasaki:
"Big Ensemble Data Assimilation in Numerical Weather Prediction"
Computer, 48, 15-21 (2015). - 10.Miyoshi, T., K. Kondo, and T. Imamura:
"The 10240-member ensemble Kalman filtering with an intermediate AGCM"
Geophys. Res. Lett., 41, 5264-5271 (2014).
Related Links
Lab Members
Principal investigator
- Takemasa Miyoshi
- Team Leader
Core members
- Koji Terasaki
- Research Scientist
- Shigenori Otsuka
- Research Scientist
- Shunji Kotsuki
- Research Scientist
- Takumi Honda
- Postdoctoral Researcher
- Kohei Takatama
- Postdoctoral Researcher
- James Taylor
- Postdoctoral Researcher
- Arata Amemiya
- Postdoctoral Researcher
- Hironori Arai
- Postdoctoral Researcher
- Yasumitsu Maejima
- Research Associate
- Hazuki Arakida
- Technical Staff I
- Hideyuki Sakamoto
- Technical Staff I
- Marimo Ohhigashi
- Technical Staff I
- Kenta Kurosawa
- Technical Staff I
- John Craig Wells
- Senior Visiting Scientist
- Juan Ruiz
- Visiting Scientist
- Shu-Chih Yang
- Visiting Scientist
- Stephen Penny
- Visiting Scientist
- Yohei Sawada
- Visiting Scientist
- Shohei Takino
- Visiting Scientist
- Pierre Francois Yves Tandeo
- Visiting Scientist
- Keiichi Kondo
- Visiting Scientist
- Atsushi Okazaki
- Visiting Scientist
Careers
| Position | Deadline |
|---|---|
| Seeking Senior Scientist/Research Scientist/Postdoctoral Researcher | Open until filled |
Contact Information
7-1-26,Minatojima-minami-machi,
Chuo-ku,Kobe,Hyogo
650-0047,Japan