Advances in inversion techniques for modeling dynamic system
Scope
In geosciences, approaches to know geophysical dynamics from limited observations are important. This session focuses on numerical techniques for approaching geophysical dynamics such as data assimilation techniques, which combines observations and a simulation model, and inversion techniques using high-temporal-resolution data. Propositions of new methods are also welcome.
Convener
Shin'ya Nakano
shiny@ism.ac.jp
Co-Convener
Genta Ueno, Shin'ichi Miyazaki, Jun'ichi Fukuda
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Session Informations
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May 23rd Room:102 Time:PM2
SessionID:MGI032 Chairman:Shin'ya Nakano, Jun'ichi Fukuda
The colored are the invited.
Start Time Presentation Number Title (PDF download) Presenter Authors
16:30 MGI032-01 Introduction of uncertainty of Green's function into waveform inversion for seismic source processes Yuji Yagi Yuji Yagi,
Yukitoshi Fukahata,
16:45 MGI032-02 Fault parameters inferred from data assimilation on seismic & acoustic waves due to 2008 Iwate-Miyagi Nairiku Earthquake Hiromichi Nagao Hiromichi Nagao,
Shin'ya Nakano,
Tomoyuki Higuchi
17:00 MGI032-03 Identification of hydraulic conductivity of groundwater flow simulaiton using a particle filter Shinya Yamamoto Shinya Yamamoto,
Makoto Honda,
17:15 MGI032-04 Application of the particle filter to data assimilation for a plasmasphere model Shin'ya Nakano Shin'ya Nakano,
Mei-Ching Fok,
Pontus C:son Brandt et al.
17:30 MGI032-05 Method for estimating the plasmaspheric density distribution from the ground magnetic field and GPS TEC Hideaki Kawano Hideaki Kawano,
Satoko Saita,
Genta Ueno et al.
17:45 MGI032-06 Development of Forecasting Method of Spatio-Temporal Afterslip Evolution by Adjoint Method Masayuki Kano Masayuki Kano,
Shin'ichi Miyazaki,
Kosuke Ito et al.
18:00 MGI032-07 Simultaneous estimation of frictional parameters on earthquake and afterslip rapture areas using an adjoint method yoshihisa HIYOSHI yoshihisa HIYOSHI,
nozomi SUGIURA,
18:15 MGI032-08 An iterative algorithm for estimating the observation error covariance matrix for ensemble-based filters Genta Ueno Genta Ueno
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