Japan Geoscience Union Meeting 2024

Presentation information

[J] Poster

S (Solid Earth Sciences ) » S-TT Technology & Techniques

[S-TT39] Creating future of solid Earth science with high performance computing (HPC)

Sun. May 26, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

convener:Takane Hori(Japan Agency for Marine-Earth Science and Technology), Yuji Yagi(Graduate School of Life and Environmental Sciences, University of Tsukuba, Tsukuba), Katsuhiko Shiomi(National Research Institute for Earth Science and Disaster Resilience), Takanori Matsuzawa(National Research Institute for Earth Science and Disaster Resilience)

5:15 PM - 6:45 PM

[STT39-P04] Prototype System for Forecasting of Plate Boundary Sliding Behavior Based on Sequential Data Assimilation

*Takane Hori1, Ryoko Nakata1,2, Takeshi Iinuma1 (1.Japan Agency for Marine-Earth Science and Technology, 2.Graduate School of Science, The University of Tokyo)

We are building a prototype system to forecast spatiotemporal variation in slip at plate boundaries in subduction zones. Comparing the consistency with daily observed on-shore and off-shore crustal deformation data and synthetic ones based on simulation results of spatiotemporal variation in slip at plate boundaries in a database prepared in advance, and quantifying the results according to the degree of consistency, we can evaluate the plausibility of the forthcoming plate boundary sliding behavior scenarios. Specifically, the Nankai Trough is targeted, and the data are GEONET's daily coordinate values (F5 solution) and the daily average values of the DONET's water pressure gauges. At present, the simulation database is based on earthquake cycle simulations that assume rate- and state-dependent friction laws and calculate spatiotemporal variation in slip at plate interfaces that take into account the three-dimensional shape in a semi-infinite homogeneous elastic body. As long as the crustal deformation result is given in a form that can be compared with observation data, there are no particular restrictions on the model used for simulation. So, it will be possible to add simulation results that incorporate realistic underground structures and different friction laws. It is also possible to add the results of data assimilation using other methods. Furthermore, it is also possible to perform prediction for multiple regions in parallel, with the region of data to be compared limited according to the region that can be handled by the model. By building such a highly flexible system, we would like to try forecasting where possible.