Conceptual dynamical models for turbulence AJ Majda, Y Lee
Proceedings of the National Academy of Sciences 111 (18), 6548-6553, 2014
51 2014 State estimation and prediction using clustered particle filters Y Lee, AJ Majda
Proceedings of the National Academy of Sciences 113 (51), 14609-14614, 2016
34 2016 Numerical schemes for stochastic backscatter in the inverse cascade of quasigeostrophic turbulence I Grooms, Y Lee, AJ Majda
Multiscale Modeling and Simulations 13 (3), 1001-1021, 2015
33 2015 A multiscale method for highly oscillatory dynamical systems using a Poincaré map type technique G Ariel, B Engquist, S Kim, Y Lee, R Tsai
Journal of Scientific Computing 54, 247-268, 2013
28 2013 Ensemble Kalman filters for dynamical systems with unresolved turbulence I Grooms, Y Lee, AJ Majda
Journal of Computational Physics 273, 435-452, 2014
26 2014 Preventing catastrophic filter divergence using adaptive additive inflation for baroclinic turbulence Y Lee, AJ Majda, D Qi
Monthly Weather Review 145 (2), 669-682, 2017
21 2017 Ensemble filtering and low-resolution model error: Covariance inflation, stochastic parameterization, and model numerics I Grooms, Y Lee, AJ Majda
Monthly Weather Review 143 (10), 3912-3924, 2015
21 2015 Hierarchical learning to solve PDEs using physics-informed neural networks J Han, Y Lee
International Conference on Computational Science, 548-562, 2023
20 * 2023 Multiscale methods for data assimilation in turbulence Y Lee, AJ Majda
Multiscale Modeling and Simulations 13 (2), 691-713, 2015
20 2015 Y Lee
SIAM Journal on Scientific Computing 43 (5), A3417-A3437, 2021
18 2021 A neural network approach for homogenization of multiscale problems J Han, Y Lee
Multiscale Modeling & Simulation 21 (2), 716-734, 2023
17 2023 Variable step size multiscale methods for stiff and highly oscillatory dynamical systems Y Lee, B Engquist
Discrete Contin. Dyn. Syst 34 (3), 1079–1097, 2014
16 2014 Multiscale numerical methods for passive advection–diffusion in incompressible turbulent flow fields Y Lee, B Engquist
Journal of Computational Physics 317, 33-46, 2016
13 2016 Stochastic superparameterization and multiscale filtering of turbulent tracers Y Lee, AJ Majda, D Qi
Multiscale Modeling & Simulation 15 (1), 215-234, 2017
11 2017 A framework for variational data assimilation with superparameterization I Grooms, Y Lee
Nonlinear Processes in Geophysics 22 (5), 601-611, 2015
8 2015 Learning the dynamics for unknown hyperbolic conservation laws using deep neural networks Z Chen, A Gelb, Y Lee
SIAM Journal on Scientific Computing 46 (2), A825-A850, 2024
6 2024 Inhomogeneous regularization with limited and indirect data J Han, Y Lee
Journal of Computational and Applied Mathematics 428, 115193, 2023
6 2023 Sampling error correction in ensemble Kalman inversion Y Lee
arXiv preprint arXiv:2105.11341, 2021
5 2021 Fast integrators for dynamical systems with several temporal scales Y Lee, B Engquist
arXiv preprint arXiv:1510.05728, 2015
5 2015 Improving numerical accuracy for the viscous-plastic formulation of sea ice T Li, A Gelb, Y Lee
Journal of Computational Physics 487, 112184, 2023
2 2023 
Jihun HanDartmouth CollegeVerifisert e-postadresse på dartmouth.edu