JpGU Meeting 2021
Session Outline| Atmospheric and Hydrospheric Sciences (A) | ||||
|---|---|---|---|---|
| Session Sub-category | Atmospheric Sciences, Meteorology & Atmospheric Environment (AS) | |||
| Session ID | A-AS07 | |||
| Title | Weather, Climate, and Environmental Science Studies using High-Performance Computing | |||
| Short Title | Weather/Climate Studies using HPC | |||
| Date & Time | Oral session | JUNE 4 (FRI) AM1, AM2 | Channel | 07 |
| Poster session | JUNE 4 (FRI) PM3 | Main Convener | Name | Hisashi Yashiro |
| Affiliation | National Institute for Environmental Studies | |||
| Co-Convener 1 | Name | Takuya Kawabata | ||
| Affiliation | Meteorological Research Institute | |||
| Co-Convener 2 | Name | Tomoki Miyakawa | ||
| Affiliation | Atmosphere and Ocean Research Institute, The University of Tokyo | |||
| Co-Convener 3 | Name | Koji Terasaki | ||
| Affiliation | RIKEN Center for Computational Science | |||
| Session Language | J | |||
| Scope | High-performance computing(HPC) is one of the fundamental research tools supporting Today's meteorology, climate change research, and environmental sciences. Cutting-edge simulation studies have been carried out using supercomputers such as the Earth Simulator and the K computer. These big computers have contributed to an expansion of the range of feasible simulations, including higher resolution, wider computational domains, more ensemble sizes, and the use of more sophisticated physical processes. Supercomputers have also made significant progress in data science, with research into data assimilation techniques using high-frequency high-density observations and the combined use of simulation and Artificial Intelligence (AI). The supercomputer Fugaku is scheduled to begin full operation in fiscal 2021, and it is expected to produce many new research results with its world-beating computing performance.
This session calls for research topics in the atmospheric and hydrospheric studies using supercomputers, such as numerical modeling, big-data analysis, data assimilation, and AI. The participants can share future perspectives on atmospheric science research using HPC and the challenges to be addressed.
| |||
| Presentation Format | Oral and Poster presentation | Collaboration | Joint with | - |
| Co-sponsored with | Meteorological Society of Japan | |||