PAPERS · CV · RESEARCH SUMMARY
Indo-Pacific variability on seasonal to multidecadal timescales. Part I: Intrinsic SST modes in models and observations
J. Slawinska & D. Giannakis (2016), J. Climate, in revision

Indo-Pacific variability on seasonal to multidecadal timescales. Part II: Multiscale atmosphere-ocean linkages
D. Giannakis & J. Slawinska (2016), J. Climate, in revision

Data-driven spectral decomposition and forecasting of ergodic dynamical systems
D. Giannakis (2016), Appl. Comput. Harmon. Anal., in revision

Analog forecasting with dynamics-adapted kernels
Z. Zhao & D. Giannakis (2016), Nonlinearity, 29(9), 2888-2939

Initiation and termination of intraseasonal oscillations in nonlinear Laplacian spectral analysis-based indices
E. Szekely, D. Giannakis & A. J. Majda (2016), Math. Wea. Climate Forecasting, 2(1), 1-25

Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability
D. Comeau, Z. Zhao, D. Giannakis & A. J. Majda (2016), Climate Dyn., in press

Spatiotemporal feature extraction with data-driven Koopman operators
D. Giannakis, J. Slawinska & Z. Zhao (2015), J. Mach. Learn. Res. Proceedings, 44, 103-115

Nonlinear Laplacian spectral analysis of Rayleigh-Bénard convection
N. D. Brenowitz, D. Giannakis & A. J. Majda (2015), J. Comput. Phys, 315, 536-553

Sea-ice reemergence in a model hierarchy
M. Bushuk, D. Giannakis (2015), Geophys. Res. Lett., 42(13), 5337–5345
Preprint; Supporting information; Movie 1

Nonparametric forecasting of low-dimensional dynamical systems
T. Berry, D. Giannakis & J. Harlim (2015), Phys. Rev. E, 91, 032915
Movie 1, 2, 3

Dynamics-adapted cone kernels
D. Giannakis (2015), SIAM J. Appl. Dyn. Syst., 14(2), 566

Arctic sea ice reemergence: The role of large-scale oceanic and atmospheric variability
M. Bushuk, D. Giannakis & A. J. Majda (2015), J. Climate, 28, 5477-5509
Movie 1, 2, 3, 4, 5, 6, 7

Extraction and predictability of coherent intraseasonal signals in infrared brightness temperature data
E. Szekely, D. Giannakis & A. J. Majda (2014), Climate Dyn., 46(5), 1473-1502
Movie 1, 2

Predicting the cloud patterns of the Madden-Julian Oscillation through a low-order nonlinear stochastic model
N. Chen, A. J. Majda & D. Giannakis (2014), Geophys. Res. Lett., 41(15), 5612

An MCMC algorithm for parameter estimation in signals with hidden intermittent instability
N. Chen, D. Giannakis, R. Herbei & A. J. Majda (2014), SIAM/ASA J. Uncertainty Quantification, 2(1), 647

Symmetric and antisymmetric signals in MJO deep convection. Part I: Basic modes in infrared brightness temperature
Tung, W.-w., D. Giannakis & A. J. Majda (2014), J. Atmos. Sci., 71, 3302

Symmetric and antisymmetric signals in MJO deep convection. Part II: Kinematics and thermodynamics
Tung, W.-w., D. Giannakis & A. J. Majda (2014), J. Atmos. Sci., submitted

Reemergence mechanisms for North Pacific sea ice revealed through nonlinear Laplacian spectral analysis
M. Bushuk, D. Giannakis & A. J. Majda (2014), J. Climate, 27, 6265

Limits of predictability in the North Pacific sector of a comprehensive climate model
D. Giannakis & A. J. Majda (2012), Geophys. Res. Lett., 39, L24602
Auxiliary material

Nonlinear Laplacian spectral analysis: Capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data
D. Giannakis & A. J. Majda (2012), Stat. Anal. and Data Min., 6(3), 180
Movie

Hierarchical structure of the Madden-Julian Oscillation in infrared brightness temperature data revealed through nonlinear Laplacian spectral analysis
D. Giannakis, W.-w. Tung & A. J. Majda, Conference on Intelligent Data Understanding (CIDU) 2012, Boulder, Colorado, October 24-26, 2012

Information theory, model error, and predictive skill of stochastic models for complex nonlinear systems
D. Giannakis, A. J. Majda & I. Horenko (2012), Physica D, 241, 1735

Comparing low-frequency and intermittent variability in comprehensive climate models through nonlinear Laplacian spectral analysis
D. Giannakis & A. J. Majda (2012), Geophys. Res. Lett., 39, L10710
Supporting information; Movie 1, 2, 3

The symmetries of image formation by scattering. I. Theoretical framework
D. Giannakis, P. Schwander & A. Ourmazd (2012), Optics Express, 20(12), 12799
Movie

The symmetries of image formation by scattering. II. Applications
P. Schwander, C. H. Yoon, A. Ourmazd & D. Giannakis (2012), Optics Express, 20(120, 12827
Movie 1, 2, 3, 4

Quantifying the predictive skill in long-range forecasting. Part I: Coarse-grained predictions in a simple ocean model
D. Giannakis & A. J. Majda (2012), J. Climate, 25(6), 1793

Quantifying the predictive skill in long-range forecasting. Part II: Model error in coarse-grained Markov models with application to ocean-circulation regimes
D. Giannakis & A. J. Majda (2012), J. Climate, 25(6), 1814

Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variability
D. Giannakis & A. J. Majda (2012), Proc. Natl. Acad. Sci., 109(7), 2222
Supplementary information 1 (pseudocode), 2; Movie S1, S2

Time series reconstruction via machine learning: Revealing decadal variability and intermittency in the North Pacific sector of a coupled climate model
D. Giannakis & A. J. Majda, Conference on Intelligent Data Understanding (CIDU) 2011, Mountain View, California, October 19-21, 2011

Instabilities in free-surface Hartmann flow at low magnetic Prandtl numbers
D. Giannakis, R. Rosner & P. F. Fischer (2009), J. Fluid Mech., 636, 217

A spectral Galerkin method for the coupled Orr-Sommerfeld and induction equations in free-surface MHD
D. Giannakis, P. F. Fischer & R. Rosner (2009), J. Comput. Phys., 228(4), 1188

Challenges for the kinetic unified dark matter model
D. Giannakis & W. Hu (2005), Phys. Rev. D, 72, 063502

Benchmarking and incentive regulation of quality of service: An application to the UK electricity distribution networks
D. Giannakis, T. Jamasb & M. Pollitt, Energ. Policy, 33(17), 2256 (2005)