Nonlinear reconstruction of global climate leading modes on decadal scales
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Juergen Kurths | Andrey Gavrilov | Dmitry Mukhin | Alexander Feigin | Evgeny Loskutov | J. Kurths | D. Mukhin | A. Gavrilov | E. Loskutov | A. Feigin
[1] J. Kurths,et al. Method for reconstructing nonlinear modes with adaptive structure from multidimensional data. , 2016, Chaos.
[2] V. Simoncini,et al. A Guide to Empirical Orthogonal Functions for Climate Data Analysis , 2010 .
[3] D. Dommenget,et al. Analysis of the Nonlinearity of El Niño–Southern Oscillation Teleconnections* , 2014 .
[4] S. Kravtsov. 2 Empirical model reduction and the modelling hierarchy in climate dynamics and the geosciences , 2009 .
[5] Hisashi Nakamura,et al. The Pacific Decadal Oscillation, Revisited , 2016 .
[6] S. Xie,et al. Structure and Mechanisms of South Indian Ocean Climate Variability , 2002 .
[7] Tim Li,et al. Role of the ENSO–Indian Ocean coupling on ENSO variability in a coupled GCM , 2006 .
[8] Michael Ghil,et al. Predicting Critical Transitions in ENSO models. Part II: Spatially Dependent Models , 2015 .
[9] G. Danabasoglu,et al. Assessing the climate impacts of the observed Atlantic multidecadal variability using the GFDL CM2.1 and NCAR CESM1 global coupled models , 2017 .
[10] A. Gámez,et al. Nonlinear dimensionality reduction in climate data , 2004 .
[11] A. Hannachi,et al. 20th century intraseasonal Asian monsoon dynamics viewed from Isomap , 2013 .
[12] Andrey Gavrilov,et al. Principal nonlinear dynamical modes of climate variability , 2015, Scientific Reports.
[13] D. Vimont,et al. The Seasonal Footprinting Mechanism in the CSIRO General Circulation Models , 2003 .
[14] Stephen Wiggins,et al. ENSO dynamics in current climate models: an investigation using nonlinear dimensionality reduction , 2008 .
[15] N. Lau,et al. Atmosphere–Ocean Variations in the Indo-Pacific Sector during ENSO Episodes , 2003 .
[16] Milan Paluš,et al. Non-linear dependence and teleconnections in climate data: sources, relevance, nonstationarity , 2012, Climate Dynamics.
[17] Milan Paluš,et al. Non-random correlation structures and dimensionality reduction in multivariate climate data , 2015, Climate Dynamics.
[18] Michael Ghil,et al. Pacific interdecadal variability in this century's sea surface temperatures , 2000 .
[19] William W. Hsieh,et al. Nonlinear atmospheric teleconnections , 2006 .
[20] Ya I Molkov,et al. Using the minimum description length principle for global reconstruction of dynamic systems from noisy time series. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.
[21] C. Deser,et al. Pacific Interdecadal Climate Variability: Linkages between the Tropics and the North Pacific during Boreal Winter since 1900 , 2004 .
[22] M. Alexander,et al. Atmospheric bridge, oceanic tunnel, and global climatic teleconnections , 2007 .
[23] R. Pulwarty,et al. Assessing climate impacts. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[24] Min Zhong,et al. El Niño, La Niña, and the Nonlinearity of Their Teleconnections , 1997 .
[25] Elizabeth C. Kent,et al. Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century , 2003 .
[26] D. Mukhin,et al. Bayesian optimization of empirical model with state-dependent stochastic forcing , 2017 .
[27] John R. Lanzante,et al. The Atmospheric Bridge: The Influence of ENSO Teleconnections on Air-Sea Interaction over the Global Oceans , 2002 .
[28] Michael Ghil,et al. ADVANCED SPECTRAL METHODS FOR CLIMATIC TIME SERIES , 2002 .
[29] C. Pires,et al. Separation of the atmospheric variability into non-Gaussian multidimensional sources by projection pursuit techniques , 2017, Climate Dynamics.