JpGU Meeting 2023
Session Outline| Atmospheric and Hydrospheric Sciences (A) | ||||
|---|---|---|---|---|
| Session Sub-category | AS | |||
| Session ID | A-AS08 | |||
| Title | Weather, Climate, and Environmental Science Studies using High-Performance Computing | |||
| Short Title | Weather/Climate Studies using HPC | |||
| Date & Time | ||||
| Oral session |
PM1, PM2 Sun, 21 MAY | |||
| On-site poster coretime |
PM3 Sun, 21 MAY | |||
| Online Poster session |
PM1 Monday, 22 MAY | Main Convener | Name | Hisashi Yashiro |
| Affiliation | National Institute for Environmental Studies | |||
| Co-Convener 1 | Name | Tomoki Miyakawa | ||
| Affiliation | Atmosphere and Ocean Research Institute, The University of Tokyo | |||
| Co-Convener 2 | Name | Chihiro Kodama | ||
| Affiliation | Japan Agency for Marine-Earth Science and Technology | |||
| Co-Convener 3 | Name | Shigenori Otsuka | ||
| 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 state-of-the-art supercomputers. These big computers have contributed to expanding the range of feasible simulations, including higher resolution, wider computational domains, more ensemble sizes, and the use of more sophisticated physical processes. From 2022, feasibility research for Japan's next flagship machine following "Fugaku" has started, and we are discussing what our application software expects from the next-generation computing infrastructure.
HPC has also demonstrated its power in data science, and remarkable progress has been made in research on data assimilation techniques using high-frequency high-density observations, and combined use of simulation and Artificial Intelligence (AI). Recently, the concept of "digital twin" has been focused on, and the construction of research/analysis platforms, including HPC, data infrastructure, and social cooperation, is required.
This session calls for research topics in atmospheric and hydrospheric studies using HPC, 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. |
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| Presentation Format | Oral and Poster | Collaboration | Joint with | - |
| Co-sponsoring Society |
- | |||