D. Kondrashov

发表

Oscillatory modes of extended Nile River records (A.D. 622–1922)

M. Ghil, D. Kondrashov, Y. Feliks, 2005 .

Data-driven non-Markovian closure models

Michael Ghil, Dmitri Kondrashov, M. Ghil, 2014, 1411.4700.

Data assimilation of low‐altitude magnetic perturbations into a global magnetosphere model

M. Ghil, D. Kondrashov, V. Merkin, 2016 .

Predicting weather regime transitions in Northern Hemisphere datasets

R. Berk, M. Ghil, D. Kondrashov, 2006 .

Data-adaptive harmonic spectra and multilayer Stuart-Landau models.

Dmitri Kondrashov, D. Kondrashov, M. Chekroun, 2017, Chaos.

Reconstruction of gaps in the past history of solar wind parameters

D. Kondrashov, H. Singer, Y. Shprits, 2014 .

Multilevel Regression Modeling of Nonlinear Processes: Derivation and Applications to Climatic Variability

Michael Ghil, Sergey Kravtsov, Dmitri Kondrashov, 2005 .

Interannual Variability in the North Atlantic Ocean’s Temperature Field and Its Association with the Wind Stress Forcing

Michael Ghil, Dmitri Kondrashov, Andreas Groth, 2016 .

Rough parameter dependence in climate models and the role of Ruelle-Pollicott resonances

Michael Ghil, James C. McWilliams, Dmitri Kondrashov, 2014, Proceedings of the National Academy of Sciences.

Predicting stochastic systems by noise sampling, and application to the El Niño-Southern Oscillation

Michael Ghil, Dmitri Kondrashov, M. Ghil, 2011, Proceedings of the National Academy of Sciences.

Extratropical Sub-seasonal to Seasonal Oscillations and Multiple Regimes: The Dynamical Systems View

M. Ghil, A. Robertson, D. Kondrashov, 2019, Sub-Seasonal to Seasonal Prediction.

Inverse stochastic–dynamic models for high-resolution Greenland ice core records

M. Ghil, D. Kondrashov, N. Boers, 2017 .

Signatures of Nonlinear Dynamics in an Idealized Atmospheric Model

M. Ghil, D. Kondrashov, S. Kravtsov, 2011 .

Optimal Estimation of Relativistic Electron Lifetimes in the Outer Radiation Belt

M. Ghil, D. Kondrashov, Y. Shprits, 2006 .

[EJ] Data-driven analysis, modeling and prediction in geosciences

Dmitri, K. Hukushima, D. Kondrashov, 2017 .

Data-adaptive harmonic analysis and modeling of solar wind-magnetosphere coupling

D. Kondrashov, M. Chekroun, 2018, Journal of Atmospheric and Solar-Terrestrial Physics.

Data Assimilation for a Coupled Ocean–Atmosphere Model. Part II: Parameter Estimation

Michael Ghil, Dmitri Kondrashov, Chaojiao Sun, 2008 .

A Hierarchy of Data-Based ENSO Models

Michael Ghil, Sergey Kravtsov, Dmitri Kondrashov, 2005 .

Reanalysis of relativistic radiation belt electron fluxes using CRRES satellite data, a radial diffusion model, and a Kalman filter

Michael Ghil, Yuri Shprits, Dmitri Kondrashov, 2007 .

Noise statistics identification for Kalman filtering of the electron radiation belt observations: 2. Filtration and smoothing

D. Kondrashov, Y. Shprits, A. Kellerman, 2014 .

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

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

Data-adaptive harmonic analysis of oceanic waves and turbulent flows.

D. Kondrashov, P. Berloff, E. Ryzhov, 2020, Chaos.

A Kalman filter technique to estimate relativistic electron lifetimes in the outer radiation belt

Michael Ghil, Richard M. Thorne, Yuri Shprits, 2007 .

Reduced models of atmospheric low-frequency variability: Parameter estimation and comparative performance

Michael Ghil, Sergey Kravtsov, Dmitri Kondrashov, 2010 .

Predicting Critical Transitions in ENSO models. Part II: Spatially Dependent Models

Michael Ghil, Andrey Gavrilov, Dmitri Kondrashov, 2015 .

ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES

Michael Ghil, Dmitri Kondrashov, Pascal Yiou, 2002 .

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

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

Extreme events: dynamics, statistics and prediction

Vladimir Kossobokov, Mathieu Vrac, Annette Witt, 2011 .

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

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

Spatio-temporal filling of missing points in geophysical data sets

Michael Ghil, Dmitri Kondrashov, M. Ghil, 2006 .

Gap filling of solar wind data by singular spectrum analysis

Michael Ghil, Yuri Shprits, Dmitri Kondrashov, 2010 .

Intraseasonal Oscillations in the Mid-Latitudes : Observations , Theory and GCM Results

M. Ghil, D. Kondrashov, 2003 .

Weather Regimes and Preferred Transition Paths in a Three-Level Quasigeostrophic Model.

Michael Ghil, Kayo Ide, Dmitri Kondrashov, 2003 .

Reconstruction of electron radiation belts using data assimilation and machine learning

D. Kondrashov, Y. Shprits, A. Drozdov, 2023, Frontiers in Astronomy and Space Sciences.

Three‐dimensional data assimilation and reanalysis of radiation belt electrons: Observations of a four‐zone structure using five spacecraft and the VERB code

Yuri Shprits, Dmitri Kondrashov, Tsugunobu Nagai, 2014 .

Application of a new data operator‐splitting data assimilation technique to the 3‐D VERB diffusion code and CRRES measurements

Yuri Shprits, Dmitri Kondrashov, Adam Kellerman, 2013 .

Reanalysis of radiation belt electron phase space density using various boundary conditions and loss models

Binbin Ni, Yuri Shprits, Dmitri Kondrashov, 2011 .

Reanalyses of the radiation belt electron phase space density using nearly equatorial CRRES and polar‐orbiting Akebono satellite observations

Richard M. Thorne, Binbin Ni, Yuri Shprits, 2009 .

Prediction of plasmaspheric hiss spectral classes

D. Kondrashov, D. Malaspina, A. Drozdov, 2022, Frontiers in Astronomy and Space Sciences.

Log-normal Kalman filter for assimilating 1 phase-space density data in the radiation belts

Michael Ghil, Yuri Shprits, Dmitri Kondrashov, 2011 .

Correlation-based flow decomposition and statistical analysis of the eddy forcing

D. Kondrashov, P. Berloff, N. Agarwal, 2021, Journal of Fluid Mechanics.

Stochastic modeling of decadal variability in ocean gyres

Dmitri Kondrashov, D. Kondrashov, P. Berloff, 2015 .

Data-adaptive harmonic decomposition and prediction of Arctic sea ice extent

M. Ghil, D. Kondrashov, M. Chekroun, 2018 .

A Comparison of Data‐Driven Approaches to Build Low‐Dimensional Ocean Models

D. Kondrashov, P. Berloff, P. Dueben, 2021, 2108.00818.

Low‐order stochastic model and “past‐noise forecasting” of the Madden‐Julian Oscillation

M. Ghil, A. Robertson, D. Kondrashov, 2013 .

Extended-Range Prediction with Low-Dimensional, Stochastic-Dynamic Models: A Data-driven Approach

M. Tippett, M. Ghil, A. Sobel, 2012 .

Extreme events: dynamics, statistics and prediction

M. Ghil, P. Friederichs, B. Malamud, 2011 .

On data-driven induction of the low-frequency variability in a coarse-resolution ocean model

James C. McWilliams, Dmitri Kondrashov, E. A. Ryzhov, 2020 .

On data-driven augmentation of low-resolution ocean model dynamics

D. Kondrashov, P. Berloff, N. Agarwal, 2019, Ocean Modelling.

under a Creative Commons License. Nonlinear Processes in Geophysics Spatio-temporal filling of missing points in geophysical data sets

M. Ghil, D. Kondrashov, 2022 .

Rough parameter dependence in climate models and the role of Ruelle-Pollicott resonances

M. Ghil, J. McWilliams, D. Kondrashov, 2014, Proceedings of the National Academy of Sciences.

Empirical mode reduction in a model of extratropical low-frequency variability

Michael Ghil, Sergey Kravtsov, Dmitri Kondrashov, 2006 .

Data Assimilation and Weather Regimes in a Three-Level Quasi-Geostrophic Model

R. Todling, M. Ghil, K. Ide, 2002 .

Extreme events: dynamics, statistics and prediction

B. Malamud, I. Zaliapin, P. Yiou, 2011 .

Lognormal Kalman filter for assimilating phase space density data in the radiation belts

D. Kondrashov, Y. Shprits, Michael Ghil, 2011 .

Reply to T. Schneider's comment on "Spatio-temporal filling of missing points in geophysical data sets"

Michael Ghil, Dmitri Kondrashov, M. Ghil, 2007 .

Interannual Variability in the North Atlantic Ocean’s Temperature Field and Its Association with the Wind Stress Forcing

Hil, Mitri, M. Ghil, 2016 .

Predicting September Arctic Sea Ice: A Multi-Model Seasonal Skill Comparison

Philippe Goulet Coulombe, N. Kimura, Jinlun Zhang, 2024, Bulletin of the American Meteorological Society.