Sun. May 26, 2024 10:45 AM - 12:15 PM Exhibition Hall Special Setting (2) (Exhibition Hall 6, Makuhari Messe)

[J] Oral
| U (Union )
| Union

[U-12] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

convener:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Yukihiro Takahashi(Department of Cosmosciences, Graduate School of Science, Hokkaido University), Yusuke Iida(Niigata University), Masuo Nakano(Japan Agency for Marine-Earth Science and Technology), Chairperson:Hiromichi Nagao(Earthquake Research Institute, The University of Tokyo), Yusuke Iida(Niigata University), Masuo Nakano(Japan Agency for Marine-Earth Science and Technology), Masayuki Kano(Graduate school of science, Tohoku University)

Fri. May 31, 2024 1:45 PM - 3:00 PM 303 (International Conference Hall, Makuhari Messe)

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

[S-GD02] Crustal Deformation

convener:Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University), Masayuki Kano(Graduate school of science, Tohoku University), Akemi Noda(Meteorological Research Institute, Japan Meteorological Agency), Yuji Himematsu(Geospatial Information Authority of Japan), Chairperson:Tadashi Ishikawa(Hydrographic and Oceanographic Department, Japan Coast Guard), Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University)

Fri. May 31, 2024 3:30 PM - 4:45 PM 303 (International Conference Hall, Makuhari Messe)

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

[S-GD02] Crustal Deformation

convener:Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University), Masayuki Kano(Graduate school of science, Tohoku University), Akemi Noda(Meteorological Research Institute, Japan Meteorological Agency), Yuji Himematsu(Geospatial Information Authority of Japan), Chairperson:Tomohisa Okazaki(RIKEN Center for Advanced Intelligence Project), Yusaku Tanaka(Waseda University, Faculty of Education and Integrated Arts and Sciences)

Fri. May 31, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-GD02] Crustal Deformation

convener:Fumiaki Tomita(International Research Institute of Disaster Science, Tohoku University), Masayuki Kano(Graduate school of science, Tohoku University), Akemi Noda(Meteorological Research Institute, Japan Meteorological Agency), Yuji Himematsu(Geospatial Information Authority of Japan)

Thu. May 30, 2024 9:00 AM - 10:15 AM 104 (International Conference Hall, Makuhari Messe)

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

[M-GI24] 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:Shun Ohishi(RIKEN Center for Computational Science), Shin ya Nakano(The Institute of Statistical Mathematics)

Thu. May 30, 2024 10:45 AM - 12:00 PM 104 (International Conference Hall, Makuhari Messe)

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

[M-GI24] 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:Daisuke Hotta(Meteorological Research Institute), Shin ya Nakano(The Institute of Statistical Mathematics)

Thu. May 30, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[M-GI24] 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)

Sun. May 26, 2024 10:45 AM - 12:15 PM Exhibition Hall Special Setting (2) (Exhibition Hall 6, Makuhari Messe)

[J] Oral
| U (Union )
| Union

[U-12] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

11:15 AM - 11:35 AM

[U12-02] Driving Earthquake Seismology Science through Machine Learning

★Invited Papers

*Hisahiko Kubo¹, Makoto Naoi², Masayuki Kano³ (1.National Research Institute for Earth Science and Disaster Resilience, 2.Hokkaido University, 3.Tohoku University)

Fri. May 31, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-GD02] Crustal Deformation

5:15 PM - 6:45 PM

[SGD02-P03] Attempting to detect intermediate-term slow slip events in the shallow region of the Suruga Trough

*Yuji Kikuchi¹, Yuta Mitsui¹, Shogo Ishizuka², Masayuki Kano³ (1.Shizuoka University, 2.University of Tsukuba, 3.Tohoku University)

Mon. May 27, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

5:15 PM - 6:45 PM

[STT38-P02] Objective clustering of GNSS velocities based on parallel translation and Euler-vector estimation for the identification of crustal blocks

*Keisuke Yano¹, Atsushi Takahashi², Masayuki Kano³ (1.The Institute of Statistical Mathematics, 2.RIKEN, 3.Tohoku university)

5:15 PM - 6:45 PM

[STT38-P06] Hessian-based uncertainty quantification for Physics-Informed Neural Networks: Application to the frictional parameter estimation

*Rikuto Fukushima^1,2, Masayuki Kano², Kazuro Hirahara^3,4, Makiko Ohtani⁵ (1.Faculty of Science, Kyoto University, 2.Graduate School of Science, Tohoku University , 3.RIKEN, 4.Kagawa University, 5.Graduate School of Science, Kyoto University)

Tue. May 28, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

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

[S-CG40] Science of slow-to-fast earthquakes

5:15 PM - 6:45 PM

[SCG40-P08] Data Assimilation for Fault Slip Monitoring and Short-Term Prediction of Spatio-Temporal Evolution of Slips: Application to the 2010 Long-Term SSE in the Bungo Channel, Japan

*Masayuki Kano^1,2, Yusuke Tanaka¹, Daisuke Sato², Takeshi Iinuma², Takane Hori² (1.Graduate school of science, Tohoku University, 2.JAMSTEC)

5:15 PM - 6:45 PM

[SCG40-P10] Automatic slow slip signal detection based on machine learning of the GNSS displacement time series of southwest Japan

*Yusuke Tanaka¹, Masayuki Kano¹, Keisuke Yano² (1.Tohoku University, 2.The Institute of Statistical Mathematics)

5:15 PM - 6:45 PM

[SCG40-P11] Deep-leaning-based fault slip estimation method using GNSS displacements:
comparison with the least-squares-based method

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

Wed. May 29, 2024 9:00 AM - 10:15 AM Convention Hall (CH-B) (International Conference Hall, Makuhari Messe)

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

[S-CG40] Science of slow-to-fast earthquakes

10:00 AM - 10:15 AM

[SCG40-25] Inversion for the spatial distribution of frictional parameters on the Long-term SSE fault with Physics-Informed Neural Networks

*Rikuto Fukushima^1,2, Masayuki Kano², Kazuro Hirahara^3,4, Makiko Ohtani⁵, Jean-Philippe Avouac⁶, Kyungjae Im⁶ (1.Faculty of Science, Kyoto University, 2.Graduate School of Science, Tohoku University , 3.RIKEN, 4.Kagawa University, 5.Graduate School of Science, Kyoto University, 6.Geology and Planetary Science Division, California Institute of Technology)

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

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

[S-CG50] Driving Solid Earth Science through Machine Learning

5:15 PM - 6:45 PM

[SCG50-P07] Spectral clustering-based association analysis of tremor detected stations: application to S-net

*Kodai Sagae¹, Masayuki Kano², Takahiko Uchide¹ (1.Geological Survey of Japan, AIST, 2.Department of Geophysics, Graduate School of Science, Tohoku University)

Wed. May 29, 2024 5:15 PM - 6:45 PM Poster Hall (Exhibition Hall 6, Makuhari Messe)

[J] Poster
| M (Multidisciplinary and Interdisciplinary)
| M-TT Technology & Techniques

[M-TT37] New Frontier of Earth Science pioneered by Dense GNSS Observation Networks

5:15 PM - 6:45 PM

[MTT37-P07] Noise characteristics in GNSS time series based on robust spectral analysis: (1) Description of robust spectral estimation

*Keisuke Yano¹, Masayuki Kano², Tetsuya Takabatake³, Yusuke Tanaka², Yusaku Ohta² (1.The Institute of Statistical Mathematics, 2.Tohoku University, 3.Hiroshima University)

5:15 PM - 6:45 PM

[MTT37-P08] Noise characteristics in GNSS time series based on robust spectral analysis: (2) application to GEONET F5 solution

*Masayuki Kano¹, Keisuke Yano², Yusuke Tanaka¹, Tetsuya Takabatake³, Yusaku Ohta¹ (1.Graduate school of science, Tohoku University, 2.Institute of Statistical Mathematics, 3.Hiroshima University)

Masayuki Kano

Convener, Chairperson

[U-12] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

[S-GD02] Crustal Deformation

[S-GD02] Crustal Deformation

[S-GD02] Crustal Deformation

[M-GI24] Data assimilation: A fundamental approach in geosciences

[M-GI24] Data assimilation: A fundamental approach in geosciences

[M-GI24] Data assimilation: A fundamental approach in geosciences

Speaker, Author, Co-Author

[U-12] Future of Earth and Planetary Sciences Boosted by Artificial Intelligence

[U12-02] Driving Earthquake Seismology Science through Machine Learning

★Invited Papers

[S-GD02] Crustal Deformation

[SGD02-P03] Attempting to detect intermediate-term slow slip events in the shallow region of the Suruga Trough

[S-TT38] Seismic Big Data Analysis Based on the State-of-the-Art of Bayesian Statistics

[STT38-P02] Objective clustering of GNSS velocities based on parallel translation and Euler-vector estimation for the identification of crustal blocks

[STT38-P06] Hessian-based uncertainty quantification for Physics-Informed Neural Networks: Application to the frictional parameter estimation

[S-CG40] Science of slow-to-fast earthquakes

[SCG40-P08] Data Assimilation for Fault Slip Monitoring and Short-Term Prediction of Spatio-Temporal Evolution of Slips: Application to the 2010 Long-Term SSE in the Bungo Channel, Japan

[SCG40-P10] Automatic slow slip signal detection based on machine learning of the GNSS displacement time series of southwest Japan

[SCG40-P11] Deep-leaning-based fault slip estimation method using GNSS displacements:
comparison with the least-squares-based method

[S-CG40] Science of slow-to-fast earthquakes

[SCG40-25] Inversion for the spatial distribution of frictional parameters on the Long-term SSE fault with Physics-Informed Neural Networks

[S-CG50] Driving Solid Earth Science through Machine Learning

[SCG50-P07] Spectral clustering-based association analysis of tremor detected stations: application to S-net

[M-TT37] New Frontier of Earth Science pioneered by Dense GNSS Observation Networks

[MTT37-P07] Noise characteristics in GNSS time series based on robust spectral analysis: (1) Description of robust spectral estimation

[MTT37-P08] Noise characteristics in GNSS time series based on robust spectral analysis: (2) application to GEONET F5 solution