Articles with public access mandates - Nan ChenLearn more
Not available anywhere: 2
An information criterion for choosing observation locations in data assimilation and prediction
N Chen
SIAM/ASA Journal on Uncertainty Quantification 8 (4), 1548-1573, 2020
Mandates: US Department of Defense
Improving the prediction of complex nonlinear turbulent dynamical systems using nonlinear filter, smoother and backward sampling techniques
N Chen
Research in the Mathematical Sciences 7 (3), 18, 2020
Mandates: US Department of Defense
Available somewhere: 40
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
Mandates: US National Science Foundation
Model error, information barriers, state estimation and prediction in complex multiscale systems
AJ Majda, N Chen
Entropy 20 (9), 644, 2018
Mandates: US Department of Defense
Conditional Gaussian systems for multiscale nonlinear stochastic systems: Prediction, state estimation and uncertainty quantification
N Chen, AJ Majda
Entropy 20 (7), 509, 2018
Mandates: US Department of Defense
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
Mandates: US Department of Defense
Efficient statistically accurate algorithms for the Fokker–Planck equation in large dimensions
N Chen, AJ Majda
Journal of Computational Physics 354, 242-268, 2018
Mandates: US Department of Defense
A multiscale model for El Niño complexity
N Chen, X Fang, JY Yu
npj Climate and Atmospheric Science 5 (1), 16, 2022
Mandates: US National Science Foundation, US Department of Defense, National Natural …
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
Mandates: US Department of Defense, US National Oceanic and Atmospheric Administration
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
Mandates: US Department of Defense
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
Mandates: US Department of Defense, National Natural Science Foundation of China
Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics
N Chen
Journal of Computational Physics 418, 109635, 2020
Mandates: US Department of Defense
Predicting monsoon intraseasonal precipitation using a low-order nonlinear stochastic model
N Chen, AJ Majda, CT Sabeerali, RS Ajayamohan
Journal of Climate 31 (11), 4403-4427, 2018
Mandates: US Department of Defense
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
Mandates: US National Science Foundation, US Department of Defense
Statistical occurrence and mechanisms of the 2014–2016 delayed super El Niño captured by a simple dynamical model
S Thual, AJ Majda, N Chen
Climate dynamics 52, 2351-2366, 2019
Mandates: US Department of Defense
Observations and mechanisms of a simple stochastic dynamical model capturing El Niño diversity
N Chen, AJ Majda, S Thual
Journal of Climate 31 (1), 449-471, 2018
Mandates: US Department of Defense
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
Mandates: US Department of Defense, National Natural Science Foundation of China
An efficient and statistically accurate Lagrangian data assimilation algorithm with applications to discrete element sea ice models
N Chen, S Fu, GE Manucharyan
Journal of Computational Physics 455, 111000, 2022
Mandates: US Department of Defense
BAMCAFE: A Bayesian machine learning advanced forecast ensemble method for complex turbulent systems with partial observations
N Chen, Y Li
Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (11), 2021
Mandates: US National Science Foundation, US Department of Defense
ENSO diversity in a tropical stochastic skeleton model for the MJO, El Niño, and dynamic Walker circulation
Q Yang, AJ Majda, N Chen
Journal of Climate 34 (9), 3481-3501, 2021
Mandates: US Department of Defense
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