JpGU Meeting 2024
Session Outline| Human Geosciences (H) | ||||
|---|---|---|---|---|
| Session Sub-category | Disaster geosciences (DS) | |||
| Session ID | H-DS11 | |||
| Session Title | Tsunami and tsunami forecast | |||
| Short Title | Tsunami and tsunami forecast | |||
| Date & Time | Oral Session |
AM2-PM2 Fri, 31 MAY | ||
| On-site Poster Coretime |
PM3 Fri, 31 MAY | |||
| Main Convener | Name | Toshitaka Baba | ||
| Affiliation | Graduate School of Science and Technology, Tokushima University | |||
| Co-Convener 1 | Name | Satoko Murotani | ||
| Affiliation | National Museum of Nature and Science | |||
| Session Language | J | |||
| Scope (Session Description) |
This session discusses issues related to improving real-time and long-term prediction accuracy of tsunami from earthquakes, landslides, and volcanoes, which include such as a better understanding of tsunami dynamics, new real-time tsunami observing systems deployed in the open ocean and coastal waters, methodologies of more rapid and accurate prediction during tsunami emergencies, more extensive and accurate inundation maps, and long-term tsunami potential forecast. |
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| Presentation Format | Oral and Poster | |||
| Collaboration | Joint with | - | ||
| Co-sponsoring Society |
The Seismological Society of Japan | |||