6 citations · 10 across the 3 of their papers we have counts for
3 papers
Generating observation guided ensembles for data assimilation with denoising diffusion probabilistic model
Yuuichi Asahi, Yuta Hasegawa, Naoyuki Onodera +3
This paper presents an ensemble data assimilation method using the pseudo ensembles generated by denoising diffusion probabilistic model. Since the model is trained against noisy a…
GPU Optimization of Lattice Boltzmann Method with Local Ensemble Transform Kalman Filter
Yuta Hasegawa, Toshiyuki Imamura, Takuya Ina +3
The ensemble data assimilation of computational fluid dynamics simulations based on the lattice Boltzmann method (LBM) and the local ensemble transform Kalman filter (LETKF) is imp…
Continuous data assimilation of large eddy simulation by lattice Boltzmann method and local ensemble transform Kalman filter (LBM-LETKF)
Yuta Hasegawa, Naoyuki Onodera, Yuuichi Asahi +3
We investigate the applicability of the data assimilation (DA) to large eddy simulations (LESs) based on the lattice Boltzmann method (LBM). We carry out the observing system simul…