Nan Chen
TitleCited byYear
Asymptotic analysis of the differences between the Stokes–Darcy system with different interface conditions and the Stokes–Brinkman system
N Chen, M Gunzburger, X Wang
Journal of Mathematical Analysis and Applications 368 (2), 658-676, 2010
472010
Predicting the cloud patterns of the Madden‐Julian Oscillation through a low‐order nonlinear stochastic model
N Chen, AJ Majda, D Giannakis
Geophysical Research Letters 41 (15), 5612-5619, 2014
412014
Information barriers for noisy Lagrangian tracers in filtering random incompressible flows
N Chen, AJ Majda, XT Tong
Nonlinearity 27 (9), 2133, 2014
232014
Simple stochastic model for El Niņo with westerly wind bursts
S Thual, AJ Majda, N Chen, SN Stechmann
Proceedings of the National Academy of Sciences 113 (37), 2016
222016
Predicting the real-time multivariate Madden–Julian oscillation index through a low-order nonlinear stochastic model
N Chen, AJ Majda
Monthly Weather Review 143 (6), 2148-2169, 2015
222015
Non-Gaussian test models for prediction and state estimation with model errors
M Branicki, N Chen, AJ Majda
Chinese Annals of Mathematics, Series B 34 (1), 29-64, 2013
222013
Predicting the Cloud Patterns for the Boreal Summer Intraseasonal Oscillation Through a Low-Order Stochastic Model
N Chen, AJ Majda
Mathematics of Climate and Weather Forecasting 1 (1), 1, 2015
192015
Noisy Lagrangian tracers for filtering random rotating compressible flows
N Chen, AJ Majda, XT Tong
Journal of Nonlinear Science 25 (3), 451-488, 2015
192015
Calibrating the exchange coefficient in the modified coupled continuum pipe-flow model for flows in karst aquifers
N Chen, M Gunzburger, B Hu, X Wang, C Woodruff
Journal of hydrology 414, 294-301, 2012
192012
Simple stochastic dynamical models capturing the statistical diversity of El Niņo Southern Oscillation
N Chen, AJ Majda
Proceedings of the National Academy of Sciences 114 (7), 1468-1473, 2017
162017
Simple dynamical models capturing the key features of the Central Pacific El Niņo
N Chen, AJ Majda
Proceedings of the National Academy of Sciences 113 (42), 11732-11737, 2016
152016
An MCMC algorithm for parameter estimation in signals with hidden intermittent instability
N Chen, D Giannakis, R Herbei, AJ Majda
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 647-669, 2014
152014
An MCMC algorithm for parameter estimation in signals with hidden intermittent instability
N Chen, D Giannakis, R Herbei, AJ Majda
SIAM/ASA Journal on Uncertainty Quantification 2 (1), 647-669, 2014
152014
Beating the curse of dimension with accurate statistics for the Fokker–Planck equation in complex turbulent systems
N Chen, AJ Majda
Proceedings of the National Academy of Sciences 114 (49), 12864-12869, 2017
132017
Filtering nonlinear turbulent dynamical systems through conditional Gaussian statistics
N Chen, AJ Majda
Monthly Weather Review 144 (12), 4885-4917, 2016
122016
Filtering the stochastic skeleton model for the Madden–Julian oscillation
N Chen, AJ Majda
Monthly Weather Review 144 (2), 501-527, 2016
102016
Efficient statistically accurate algorithms for the Fokker–Planck equation in large dimensions
N Chen, AJ Majda
Journal of Computational Physics 354, 242-268, 2018
92018
Model error in filtering random compressible flows utilizing noisy Lagrangian tracers
N Chen, AJ Majda
Monthly Weather Review 144 (11), 4037-4061, 2016
92016
Model error, information barriers, state estimation and prediction in complex multiscale systems
A Majda, N Chen
Entropy 20 (9), 644, 2018
82018
Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker--Planck Equations in Large Dimensions
N Chen, AJ Majda, XT Tong
SIAM/ASA Journal on Uncertainty Quantification 6 (3), 1198-1223, 2018
62018
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Articles 1–20