Nonlinear Physical Oceanography: A Dynamical Systems Approach to the Large Scale Ocean Circulation and El Niño,

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Stochastic climate dynamics: Random attractors and time-dependent invariant measures (2011, background): “Moving on to intermediate models, consider the numerical results of [52] obtained with a so-called hybrid coupled model that couples an empirical atmospheric component to an oceanic GCM; see also [9, 27].”
An Exact, Steady, Purely Azimuthal Equatorial Flow with a Free Surface (2016, methodology): “APPENDIX Application of the Implicit Function Theorem We describe here a general theoretical investigation of (25) by means of the implicit function theorem (see Dijkstra 2000).”
Does Model Parameter Error Cause a Significant “Spring Predictability Barrier” for El Niño Events in the Zebiak–Cane Model? (2012, background): “28C (Kaplan et al. 1998; Dijkstra 2000), and Karspeck et al.”
A mathematical theory of climate sensitivity or, How to deal with both anthropogenic forcing and natural variability? (2015, methodology): “Several authors have studied such delaydifferential models of ENSO; see Dijkstra (2005) for a review and Ghil et al.”
Climate dynamics and fluid mechanics: Natural variability and related uncertainties (2008, background): “4) in explaining the observed low-frequency variability has been validated across a wide hierarchy of models, including models with much more comprehensive physical formulation, more realistic geometry, and greater resolution in the horizontal and vertical [11,12].”