MickaŽl D. Chekroun
MickaŽl D. Chekroun
Associate Researcher, Department of Atmospheric and Oceanic Sciences, UCLA
Verified email at atmos.ucla.edu - Homepage
Cited by
Cited by
Stochastic climate dynamics: Random attractors and time-dependent invariant measures
MD Chekroun, E Simonnet, M Ghil
Physica D: Nonlinear Phenomena 240 (21), 1685-1700, 2011
Climate dynamics and fluid mechanics: Natural variability and related uncertainties
M Ghil, MD Chekroun, E Simonnet
Physica D: Nonlinear Phenomena 237 (14-17), 2111-2126, 2008
Data-driven non-Markovian closure models
D Kondrashov, MD Chekroun, M Ghil
Physica D: Nonlinear Phenomena 297, 33-55, 2015
Rough parameter dependence in climate models and the role of Ruelle-Pollicott resonances
MD Chekroun, JD Neelin, D Kondrashov, JC McWilliams, M Ghil
Proceedings of the National Academy of Sciences 111 (5), 1684-1690, 2014
Predicting stochastic systems by noise sampling, and application to the El NiŮo-Southern Oscillation
MD Chekroun, D Kondrashov, M Ghil
Proceedings of the National Academy of Sciences 108 (29), 11766-11771, 2011
Stochastic parameterizing manifolds and non-Markovian reduced equations: stochastic manifolds for nonlinear SPDEs II
MD Chekroun, H Liu, S Wang
Springer, 2015
Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I
MD Chekroun, H Liu, S Wang
Springer International Publishing, 2015
Low‐order stochastic model and “past‐noise forecasting” of the Madden‐Julian Oscillation
D Kondrashov, MD Chekroun, AW Robertson, M Ghil
Geophysical Research Letters 40 (19), 5305-5310, 2013
Data-adaptive harmonic spectra and multilayer Stuart-Landau models
MD Chekroun, D Kondrashov
Chaos: An Interdisciplinary Journal of Nonlinear Science 27, 093110, 2017
Invariant measures for dissipative dynamical systems: Abstract results and applications
MD Chekroun, NE Glatt-Holtz
Communications in Mathematical Physics 316 (3), 723-761, 2012
Exploring the pullback attractors of a low-order quasigeostrophic ocean model: The deterministic case
S Pierini, M Ghil, MD Chekroun
Journal of Climate 29 (11), 4185-4202, 2016
Probing chaos and biodiversity in a simple competition model
L Roques, MD Chekroun
Ecological Complexity 8 (1), 98-104, 2011
Diversity, nonlinearity, seasonality, and memory effect in ENSO simulation and prediction using empirical model reduction
C Chen, MA Cane, N Henderson, DE Lee, D Chapman, D Kondrashov, ...
Journal of Climate 29 (5), 1809-1830, 2016
Parameter estimation for energy balance models with memory
L Roques, MD Chekroun, M Cristofol, S Soubeyrand, M Ghil
Proceedings of the Royal Society A: Mathematical, Physical and Engineering†…, 2014
Asymptotics of the Coleman-Gurtin model
MD Chekroun, F Di Plinio, NE Glatt-Holtz, V Pata
Discrete and Continuous Dynamical Systems, Series S 4 (2), 351-369, 2010
On population resilience to external perturbations
L Roques, MD Chekroun
SIAM Journal on Applied Mathematics 68 (1), 133-153, 2007
The Stampacchia maximum principle for stochastic partial differential equations and applications
MD Chekroun, E Park, R Temam
Journal of Differential Equations 260 (3), 2926-2972, 2016
Data-adaptive harmonic decomposition and stochastic modeling of Arctic sea ice
D Kondrashov, MD Chekroun, X Yuan, M Ghil
Advances in Nonlinear Geosciences, 179-205, 2018
Low-dimensional Galerkin approximations of nonlinear delay differential equations
MD Chekroun, M Ghil, H Liu, S Wang
Discrete and Continuous Dynamical Systems 36 (8), 4133-4177, 2016
Data-adaptive harmonic decomposition and prediction of Arctic sea ice extent
D Kondrashov, MD Chekroun, M Ghil
Dynamics and Statistics of the Climate System 3 (1), dzy001, 2018
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