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
Abstract Download
Session Informations
Cancellation and time schedule change are shown here.

May 23rd MGI032 Room: Convention Hall
Core Time: PM1
The colored are the invited.
Presentation Number Title (PDF download) Presenter Authors
MGI032-P01 Development of Ionospheric Tomography Using Neural Network Shinji Hirooka Shinji Hirooka,
Katsumi Hattori,
Tatsuoki Takeda
MGI032-P02 A model of the plasmaspheric density profile combined with the GCPM and its error-correction model using GPS-TEC Yoshitaka Goto Yoshitaka Goto,
Yoshiya Kasahara
MGI032-P03 Mixed linear-nonlinear inversion of crustal deformation data: Bayesian inference of model and hyperparameters Jun'ichi Fukuda Jun'ichi Fukuda,
Kaj M. Johnson
MGI032-P04 Analysis of accuracy and effectiveness in ensemble-type data assimilation considering continuity and nonlinearity Kazuyuki Nakamura Kazuyuki Nakamura
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