| Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race X Hou, S Gao, Q Li, Y Kang, N Chen, K Chen, J Rao, JS Ellenberg, ... Proceedings of the National Academy of Sciences 118 (24), e2020524118, 2021 | 168 | 2021 |
| Model error, information barriers, state estimation and prediction in complex multiscale systems AJ Majda, N Chen Entropy 20 (9), 644, 2018 | 89 | 2018 |
| Conditional Gaussian systems for multiscale nonlinear stochastic systems: Prediction, state estimation and uncertainty quantification N Chen, AJ Majda Entropy 20 (7), 509, 2018 | 87 | 2018 |
| Simple stochastic model for El Niño with westerly wind bursts S Thual, AJ Majda, N Chen, SN Stechmann Proceedings of the National Academy of Sciences 113 (37), 2016 | 85 | 2016 |
| Atlantic zonal mode: An emerging source of Indian summer monsoon variability in a warming world CT Sabeerali, RS Ajayamohan, HK Bangalath, N Chen Geophysical Research Letters 46 (8), 4460-4467, 2019 | 80 | 2019 |
| 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 | 80 | 2010 |
| 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 | 77 | 2014 |
| A multiscale model for El Niño complexity N Chen, X Fang, JY Yu npj Climate and Atmospheric Science 5 (1), 16, 2022 | 67 | 2022 |
| 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 | 60 | 2017 |
| Information barriers for noisy Lagrangian tracers in filtering random incompressible flows N Chen, AJ Majda, XT Tong Nonlinearity 27 (9), 2133, 2014 | 60 | 2014 |
| Efficient statistically accurate algorithms for the Fokker–Planck equation in large dimensions N Chen, AJ Majda Journal of Computational Physics 354, 242-268, 2018 | 57 | 2018 |
| Stochastic methods for modeling and predicting complex dynamical systems N Chen Springer International Publishing, 2023 | 49 | 2023 |
| 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 | 47 | 2013 |
| Noisy Lagrangian tracers for filtering random rotating compressible flows N Chen, AJ Majda, XT Tong Journal of Nonlinear Science 25 (3), 451-488, 2015 | 44 | 2015 |
| Filtering nonlinear turbulent dynamical systems through conditional Gaussian statistics N Chen, AJ Majda Monthly Weather Review 144 (12), 4885-4917, 2016 | 43 | 2016 |
| 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 | 40 | 2015 |
| Simple stochastic dynamical models capturing the statistical diversity of El Niño Southern Oscillation N Chen, AJ Majda Proceedings of the National Academy of Sciences 114 (7), 1468-1473, 2017 | 39 | 2017 |
| Quantifying the predictability of ENSO complexity using a statistically accurate multiscale stochastic model and information theory X Fang, N Chen Journal of Climate 36 (8), 2681-2702, 2023 | 35 | 2023 |
| A simple multiscale intermediate coupled stochastic model for El Niño diversity and complexity N Chen, X Fang Journal of Advances in Modeling Earth Systems 15 (4), e2022MS003469, 2023 | 34 | 2023 |
| Conditional Gaussian nonlinear system: A fast preconditioner and a cheap surrogate model for complex nonlinear systems N Chen, Y Li, H Liu Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (5), 2022 | 34 | 2022 |
Sulian ThualMercator-Ocean InternationalVerified email at mercator-ocean.fr
