A finite-element ocean model: principles and evaluation

By Sergey Danilov, G. Kivman, Jens Schr. 2004

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On the representation error in data assimilation (2018, unknown): “Janji´c et al. (2012b) assimilated time-varying dynamical ocean topography data (Skachko et al. , 2008; Janji´c et al. , 2012a) ﬁltered to three different spatial resolutions into a global ﬁnite-element ocean model (Danilov et al. , 2004; Wang et al. , 2008) with an ensemble Kalman-ﬁlter algorithm.”
Towards multi-resolution global climate modeling with ECHAM6–FESOM. Part I: model formulation and mean climate (2015, methodology): “In this study, the presently most advanced and well tested global multi-resolution sea ice-ocean model—the Finite Element Sea Ice-Ocean Model (FESOM; Danilov et al. 2004; Wang et al. 2008, 2013; Timmermann et al. 2009)—is coupled to the atmospheric model ECHAM6.”
A multi-resolution approach to global ocean modeling (2013, background): “New multi-resolution approaches, both structured and unstructured, are emerging with applications focused on regional and coastal ocean modeling (Chen et al., 2003; Danilov et al., 2004; Shchepetkin and McWilliams, 2005; White et al., 2008).”
SELFE: A semi-implicit Eulerian–Lagrangian finite-element model for cross-scale ocean circulation (2008, background): “Models based on fully 3D unstructured grids (Cheng et al., 2000; Labeur and Pietrzak, 2005; Danilov et al., 2004) are so far too expensive for large applications.”