Mickaël D. Chekroun

发表

On Population Resilience to External Perturbations

Lionel Roques, Mickaël D. Chekroun, 2007, SIAM J. Appl. Math..

A data-driven prediction method for fast-slow systems

Michael Ghil, Dmitri Kondrashov, Mickaël D. Chekroun, 2016 .

Enriched numerical scheme for singularly perturbed barotropic Quasi-Geostrophic equations

Roger Temam, Youngjoon Hong, Mickaël D. Chekroun, 2020, J. Comput. Phys..

A Data-based Low-dimensional Stochastic Model of the NGRIP delta-O18 with Built-in Delays

Mickaël D. Chekroun, D. A. Kondrashov, Honghu Liu, 2014 .

Post-processing finite-horizon parameterizing manifolds for optimal control of nonlinear parabolic PDEs

Mickaël D. Chekroun, Honghu Liu, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Data-Driven Model Reduction and Climate Prediction: Nonlinear Stochastic, Energy-Conserving Models With Memory Effects

M. Ghil, Dmitri Kondrashov, Mickaël D. Chekroun, 2012 .

Data-driven stochastic model discovery of organized clouds dynamics

Ilan Koren, Mickaël D. Chekroun, Orit Altaratz, 2021 .

Diversity, Nonlinearity, Seasonality, and Memory Effect in ENSO Simulation and Prediction Using Empirical Model Reduction

Dong Eun Lee, Dmitri Kondrashov, Mickaël D. Chekroun, 2016 .

Data-Adaptive Harmonic Decomposition and Stochastic Modeling of Arctic Sea Ice

Michael Ghil, Dmitri Kondrashov, Mickaël D. Chekroun, 2018 .

Invariant Measures for Dissipative Dynamical Systems: Abstract Results and Applications

Nathan E. Glatt-Holtz, Mickaël D. Chekroun, M. Chekroun, 2011, 1110.4354.

Approximation of Stochastic Invariant Manifolds

Mickaël D. Chekroun, Honghu Liu, Shouhong Wang, 2015 .

Stochastic parameterizing manifolds and non-markovian reduced equations : stochastic manifolds for nonlinear SPDEs II/ Mickaël D. Chekroun, Honghu Liu, Shouhong Wang

Mickaël D. Chekroun, Honghu Liu, Shouhong Wang, 2014 .

The emergence of fast oscillations in a reduced primitive equation model and its implications for closure theories

James C. McWilliams, Mickaël D. Chekroun, Honghu Liu, 2017 .

Exploring the Pullback Attractors of a Low-Order Quasigeostrophic Ocean Model: The Deterministic Case

Michael Ghil, Stefano Pierini, Mickaël D. Chekroun, 2016 .

Stochastic climate dynamics: Random attractors and time-dependent invariant measures

Michael Ghil, Eric Simonnet, Mickaël D. Chekroun, 2011 .

Approximation of Stochastic Invariant Manifolds: Stochastic Manifolds for Nonlinear SPDEs I

Mickaël D. Chekroun, Honghu Liu, Shouhong Wang, 2014 .

Multiscale Stuart-Landau Emulators: Application to Wind-Driven Ocean Gyres

Dmitri Kondrashov, Mickaël D. Chekroun, D. Kondrashov, 2018 .

Approximation of Stochastic Hyperbolic Invariant Manifolds

Mickaël D. Chekroun, Honghu Liu, Shouhong Wang, 2015 .