2. SUBJECT FIELDS FOR JOINT RESEARCH
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- Announcement for Joint Research Proposals, 2023
- 2. Subject Fields for Joint Research
2-1. Designated Joint Research
( 1 ) Designated Joint Research 1 ( International )
| Subject-1 : | Multidisciplinary study of wave dynamics in rotating stratified fluids |
| Integrator : | Yohei Onuki (Earth Environment Dynamics) |
| Outlines : | In the Earth’s oceans and planetary atmospheres, various waves such as gravity and Rossby waves exist due to buoyancy forces inherent in stably stratified fluids or Coriolis forces originating from a rotation of the system. They carry energy and momentum while interacting with an ambient flow field and reflecting and scattering at the boundaries, thus playing essential roles in the environmental system at a range of scales. This joint research explores fundamental wave dynamics in the ocean and atmosphere, aiming to improve the parameterizations in global circulation models and develop data analysis techniques useful for next-generation satellite observations. Multidisciplinary approaches centered on experiments, theory, and numerical simulations are welcomed. |
( 2 ) Designated Joint Research 2 ( Cross-Disciplinary )
| Subject-2 : | Synthetic diagnostics combining measurement, simulation and modeling |
| Integrator : | Naohiro Kasuya (Nuclear Fusion Dynamics) |
| Outlines : | Interpretation of measured signals in experiments usually includes complicated processes with some assumptions, regardless of the research fields. Synthetic diagnostics utilize simulation data to compensate for insufficient information from experiments, and can give quantitative comparison between experiments and simulations. One example is computational imaging using global simulation data of plasma turbulence. Theoretical analysis gives a guide for the interpretation. Recent development in data-driven science is favorable to handle a large amount of data both in experiments and simulations. Therefore, collaboration of experimental measurement, complex simulation and data-driven modeling should be strongly encouraged. This designated joint research aims at developing sophisticated methods to capture micro and macroscopic features in liquid, gas and plasma by giving comprehensive understanding of the synthetic diagnostics carried out in the individual fields. |
( 3 ) Designated Joint Research 3 ( Cross-Disciplinary )
| Subject-3 : | Developing new research fields by integrating experimental/measurement science and computational science |
| Integrator : |
Keiya Yumimoto (Earth Environment Dynamics)
Yusuke Kosuga (Nuclear Fusion Dynamics) Yoshihiro Kangawa (Renewable Energy Dynamics) |
| Outlines : | In scientific research to date, there have been two types of science: experimental and measurement science, which involves observing, measuring, and visualizing research objects, and computational science, which involves reproducing and predicting phenomena using numerical models built on physical and scientific theory. In recent years, the integration of the two sciences by the use of machine learning, mathematical statistics, and data assimilation techniques has led to the acquisition of knowledge that cannot be obtained independently, and the optimization of experimental settings and model parameters. The RIAM has a variety of experimental and research facilities as well as large-scale computing equipment for collaborative research. In this specific research project, we will use these facilities to develop a new research field by integrating experimental, measurement, and computational science-based researchers while communicating with each other. |
( 4 ) Designated Joint Research 4 ( Renewable Energy Dynamics )
| Subject-4 : | A multi-scale atmospheric flow research that contributes to the installation of Japanese-style offshore wind power generation |
| Integrator : | Takanori Uchida (Renewable Energy Dynamics) |
| Outlines : | Offshore wind power generation is particularly expected as a trump card for the realization of a carbon-free society in 2050. In order to succeed in offshore wind power generation suitable for Japan's harsh environment, it is necessary to accurately understand the multi-scale nonlinear atmospheric flow in a wide area to a local area, integrate them, and predict the future. In this specific research, we will comprehensively approach various multi-scale atmospheric flow from large-scale fluid experimental equipment (wind tunnel / water tank), numerical simulation, and outdoor measurement. Furthermore, the obtained results will be integrated and universalized using a data science approach. Ultimately, we aim to build new science and contribute to industry. |
