We held the 58th Data Assimilation Seminar at RIKEN Center for Computational Science (R-CCS) on 7 May.
The seminar was given by Professor Ming-Cheng Shiue from the National Chiao Tung University, Taiwan. He spoke about his research on hybrid, nonlinear continuous data assimilation algorithms for Lorenz systems. He presented his work showing that approximate solutions converge to reference solutions over time provided that only first and second variables of Lorenz systems are synchronized. He also presented research on two continuous and discrete DA algorithms for 2D Navier-Stokes equations, showing how present and past observations at each time step provide a way that new methods could outperform old ones.
We are very grateful to Professor Shiue for visiting us at RIKEN and hope to see him again soon.
For more information about this and all our DA seminars at RIKEN R-CCS, please see the DA seminar page: