RIKEN Center for Computational Science Data Assimilation Research Team

Team Leader: Takemasa Miyoshi (Ph.D.)

Japanese Page

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).

Lab Members

Principal investigator

Takemasa Miyoshi: Team Leader

Core members

Koji Terasaki: Research Scientist
Shigenori Otsuka: Research Scientist
Ting-Chi Wu: 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

Contact Information

7-1-26,Minatojima-minami-machi,
Chuo-ku,Kobe,Hyogo
650-0047,Japan
Email: da-team-desk [at] ml.riken.jp