Tue. May 23, 2023 9:00 AM - 10:15 AM 304 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD02] Crustal Deformation

convener:Masayuki Kano(Graduate school of science, Tohoku University), Tadafumi Ochi(Institute of Earthquake and Volcano Geology, Geological Survey of Japan, The National Institute of Advanced Industrial Science and Technology), Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University), Chairperson:Mako Ohzono(Institute of Seismology and Volcanology, Faculty of Science, Hokkaido University), Tadashi Yamasaki(National Institute of Advanced Industrial Science and Technology)

Tue. May 23, 2023 10:45 AM - 12:00 PM 304 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD02] Crustal Deformation

convener:Masayuki Kano(Graduate school of science, Tohoku University), Tadafumi Ochi(Institute of Earthquake and Volcano Geology, Geological Survey of Japan, The National Institute of Advanced Industrial Science and Technology), Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University), Chairperson:Takuya NISHIMURA(Disaster Prevention Research Institute, Kyoto University), Takeo Ito(Earthquake and Volcano Research Center, Graduate School of Environmental Studies, Nagoya University)

Wed. May 24, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (11) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-GD Geodesy

[S-GD02] Crustal Deformation

convener:Masayuki Kano(Graduate school of science, Tohoku University), Tadafumi Ochi(Institute of Earthquake and Volcano Geology, Geological Survey of Japan, The National Institute of Advanced Industrial Science and Technology), Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University)

Mon. May 22, 2023 9:00 AM - 10:30 AM 301B (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data assimilation: A fundamental approach in geosciences

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN), Masayuki Kano(Graduate school of science, Tohoku University), Chairperson:Masayuki Kano(Graduate school of science, Tohoku University), Shin ya Nakano(The Institute of Statistical Mathematics)

Mon. May 22, 2023 10:45 AM - 11:45 AM 301B (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data assimilation: A fundamental approach in geosciences

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN), Masayuki Kano(Graduate school of science, Tohoku University), Chairperson:Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN)

Tue. May 23, 2023 1:45 PM - 3:15 PM Online Poster Zoom Room (8) (Online Poster)

[E] Online Poster
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data assimilation: A fundamental approach in geosciences

convener:Shin ya Nakano(The Institute of Statistical Mathematics), Yosuke Fujii(Meteorological Research Institute, Japan Meteorological Agency), Takemasa Miyoshi(RIKEN), Masayuki Kano(Graduate school of science, Tohoku University)

Mon. May 22, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (6) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-TT Technology & Techniques

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

10:45 AM - 12:15 PM

[STT44-P08] Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction

*Kumi Nakai¹, Takayuki Nagata², Keigo Yamada², Yuji Saito², Taku Nonomura², Masayuki Kano², Shin-ichi Ito³, Hiromichi Nagao³ (1.National Institute of Advanced Industrial Science and Technolog, 2.Tohoku University, 3.Earthquake Research Institute, The University of Tokyo)

Fri. May 26, 2023 10:45 AM - 12:15 PM Online Poster Zoom Room (16) (Online Poster)

[E] Online Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG45] Science of slow-to-fast earthquakes

10:45 AM - 12:15 PM

[SCG45-P40] Data assimilation for reproducing and predicting the fault slip behavior in the 2010 Bungo Channel long-term slow slip event

*Masayuki Kano^1,2, Yusuke Tanaka¹, Takeshi Iinuma², Takane Hori² (1.Graduate school of science, Tohoku University, 2.JAMSTEC)

Sun. May 21, 2023 1:45 PM - 3:00 PM 302 (International Conference Hall, Makuhari Messe)

[J] Oral
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

2:15 PM - 2:30 PM

[SCG55-08] Direct estimation of the fault slip of short-term slow slip events from GNSS data using deep learning

*Ryo Nakagawa¹, Yo Fukushima², Masayuki Kano¹, Keisuke Yano³, Kazuro Hirahara^4,5 (1.Graduate School of Science, Tohoku University, 2.International Research Institute of Disaster Science, Tohoku University, 3.Institute of Statistical Mathematics, 4.Riken, 5.Kagawa University)

Mon. May 22, 2023 1:45 PM - 3:15 PM Online Poster Zoom Room (6) (Online Poster)

[J] Online Poster
| S (Solid Earth Sciences )
| S-CG Complex & General

[S-CG55] Driving Solid Earth Science through Machine Learning

1:45 PM - 3:15 PM

[SCG55-P13] Physics-Informed Neural Networks for modeling slow slip events in a spring-slider system with a rate and state friction law

*Rikuto Fukushima¹, Masayuki Kano², Kazuro Hirahara^3,4 (1.Faculty of Science, Kyoto University, 2.Graduate School of Science, Tohoku University , 3.RIKEN, 4.Kagawa University)

Mon. May 22, 2023 9:00 AM - 10:30 AM 301B (International Conference Hall, Makuhari Messe)

[E] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI26] Data assimilation: A fundamental approach in geosciences

9:50 AM - 10:10 AM

[MGI26-04] Numerical experiments for estimating frictional properties on an SSE fault using the adjoint method

★Invited Papers

*Makiko Ohtani¹, Nobuki Kame², Masayuki Kano³ (1.Graduate School of Science, Kyoto Univ., 2.ERI, the Univ. of Tokyo, 3.Graduate School of Science, Tohoku Univ.)

Sun. May 21, 2023 9:00 AM - 10:15 AM 301B (International Conference Hall, Makuhari Messe)

[J] Oral
| M (Multidisciplinary and Interdisciplinary)
| M-GI General Geosciences, Information Geosciences & Simulations

[M-GI29] Data-driven geosciences

9:00 AM - 9:15 AM

[MGI29-01] Simultaneous estimation of the spatio-temporal evolution of fault slip and block motion in the southwest Japan subduction zone

*Yusuke Tanaka¹, Masayuki Kano¹, Takuya NISHIMURA², Keisuke Yano³ (1.Tohoku University, 2.Kyoto University, 3.The Institute of Statistical Mathematics)

Masayuki Kano

Convener, Chairperson

[S-GD02] Crustal Deformation

[S-GD02] Crustal Deformation

[S-GD02] Crustal Deformation

[M-GI26] Data assimilation: A fundamental approach in geosciences

[M-GI26] Data assimilation: A fundamental approach in geosciences

[M-GI26] Data assimilation: A fundamental approach in geosciences

Speaker, Author, Co-Author

[S-TT44] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT44-P08] Observation Site Selection for Physical Model Parameter Estimation toward Process-Driven Seismic Wavefield Reconstruction

[S-CG45] Science of slow-to-fast earthquakes

[SCG45-P40] Data assimilation for reproducing and predicting the fault slip behavior in the 2010 Bungo Channel long-term slow slip event

[S-CG55] Driving Solid Earth Science through Machine Learning

[SCG55-08] Direct estimation of the fault slip of short-term slow slip events from GNSS data using deep learning

[S-CG55] Driving Solid Earth Science through Machine Learning

[SCG55-P13] Physics-Informed Neural Networks for modeling slow slip events in a spring-slider system with a rate and state friction law

[M-GI26] Data assimilation: A fundamental approach in geosciences

[MGI26-04] Numerical experiments for estimating frictional properties on an SSE fault using the adjoint method

★Invited Papers

[M-GI29] Data-driven geosciences

[MGI29-01] Simultaneous estimation of the spatio-temporal evolution of fault slip and block motion in the southwest Japan subduction zone