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, using statistical methods and applied mathematics. As computers become more powerful and enable more precise simulations, it will become more important to compare the simulations with actual observations. DA Team performs cutting-edge research and development on advanced DA methods and their wide applications, aiming to integrate computer simulations and real-world data in the wisest way. Particularly, DA Team tackles challenging problems of developing efficient and accurate DA systems for “big simulations” with real-world “big data” from various sources including advanced sensors. The specific foci include 1) theoretical and algorithmic developments for efficient and accurate DA, 2) DA methods and applications by taking advantage of the world-leading supercomputer and “big data” from new advanced sensors, and 3) exploratory new applications of DA in wider simulation fields. These advanced DA studies will enhance simulation capabilities and lead to a 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., Y. Sato, and T. Miyoshi.:
"Data Assimilation for Climate Research: Model Parameter Estimation of Large Scale Condensation Scheme"
J. Geophys. Res., 125, e2019JD031304 (2020). - 2.
Otsuka, S., S. Kotsuki, M. Ohhigashi, and T. Miyoshi.:
"GSMaP RIKEN Nowcast: Global precipitation nowcasting with data assimilation"
J. Meteor. Soc. Japan, 97, 1099-1117 (2019). - 3.
Kondo, K., and T. Miyoshi.:
"Non-Gaussian statistics in global atmospheric dynamics: a study with a 10240-member ensemble Kalman filter using an intermediate AGCM"
Nonlinear Processes in Geophys., 26, 211-225 (2019). - 4.
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). - 5.
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). - 6.
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). - 7.
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). - 8.
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). - 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
- Takumi Honda
- Special Postdoctoral Researcher
- Kohei Takatama
- Postdoctoral Researcher
- James Taylor
- Postdoctoral Researcher
- Arata Amemiya
- Postdoctoral Researcher
- Maha Mdini
- Postdoctoral Researcher
- Shun Ohishi
- Postdoctoral Researcher
- Yasumitsu Maejima
- Postdoctoral Researcher
- Jianyu Liang
- Postdoctoral Researcher
- Qiwen Sun
- Junior Research Associate
- Hideyuki Sakamoto
- Technical Staff I
- John Craig Wells
- Senior Visiting Scientist
- Shu-Chih Yang
- Senior Visiting Scientist
- Juan Ruiz
- Visiting Scientist
- Yohei Sawada
- Visiting Scientist
- Pierre Francois Yves Tandeo
- Visiting Scientist
- Keiichi Kondo
- Visiting Scientist
- Atsushi Okazaki
- Visiting Scientist
- Shunji Kotsuki
- Visiting Scientist
- Hazuki Arakida
- Visiting Scientist
- Hironori Arai
- Visiting Scientist
- Tobias Marcel Necker
- Visiting Scientist
Careers
| Position | Deadline |
|---|---|
| Seeking a Research Scientist or a Senior Research Scientist (20K69) | Dec 8, 2020 |
| 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
Email: da-team-desk [at] ml.riken.jp