| 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 | 296 | 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 | 189 | 2008 |
| Data-driven non-Markovian closure models D Kondrashov, MD Chekroun, M Ghil Physica D: Nonlinear Phenomena 297, 33-55, 2015 | 142 | 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 | 93 | 2014 |
| Stochastic parameterizing manifolds and non-Markovian reduced equations: stochastic manifolds for nonlinear SPDEs II MD Chekroun, H Liu, S Wang Springer, 2015 | 88 | 2015 |
| Invariant measures for dissipative dynamical systems: Abstract results and applications MD Chekroun, NE Glatt-Holtz Communications in Mathematical Physics 316 (3), 723-761, 2012 | 86 | 2012 |
| Predicting stochastic systems by noise sampling, and application to the El Niño-Southern Oscillation MD Chekroun, D Kondrashov, M Ghil Proceedings of the National Academy of Sciences 108 (29), 11766-11771, 2011 | 86 | 2011 |
| Approximation of stochastic invariant manifolds: stochastic manifolds for nonlinear SPDEs I MD Chekroun, H Liu, S Wang Springer International Publishing, 2015 | 78 | 2015 |
| Data-adaptive harmonic spectra and multilayer Stuart-Landau models MD Chekroun, D Kondrashov Chaos: An Interdisciplinary Journal of Nonlinear Science 27, 093110, 2017 | 55 | 2017 |
| 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 | 54 | 2013 |
| Reduced-Order Models for Coupled Dynamical Systems: Koopman Operator and Data-driven Methods MS Gutiérrez, V Lucarini, MD Chekroun, M Ghil Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (5), 053116, 2021 | 49* | 2021 |
| 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 | 45 | 2016 |
| 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 | 42 | 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 | 40 | 2014 |
| Variational approach to closure of nonlinear dynamical systems: Autonomous case MD Chekroun, H Liu, JC McWilliams Journal of Statistical Physics, 1-88, 2019 | 37 | 2019 |
| Probing chaos and biodiversity in a simple competition model L Roques, MD Chekroun Ecological Complexity 8 (1), 98-104, 2011 | 37 | 2011 |
| Multiscale Stuart-Landau emulators: Application to wind-driven ocean gyres D Kondrashov, MD Chekroun, P Berloff Fluids 3 (1), 21, 2018 | 34 | 2018 |
| 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 | 34 | 2018 |
| 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 | 34 | 2016 |
| Pullback attractor crisis in a delay differential ENSO model MD Chekroun, M Ghil, JD Neelin Advances in nonlinear geosciences, 1-33, 2018 | 32 | 2018 |
Michael GhilDistinguished Research Professor, UCLA, and Distinguished Professor Emeritus, ENSVerified email at atmos.ucla.edu