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Journal ArticleDOI

A multi-resolution approach to global ocean modeling

TLDR
In this paper, a new global ocean model (MPASO-Ocean) capable of using enhanced resolution in selected regions of the ocean domain is described and evaluated, and three simulations using different grids are presented.
About
This article is published in Ocean Modelling.The article was published on 2013-09-01. It has received 305 citations till now. The article focuses on the topics: Parallel Ocean Program & Ocean gyre.

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The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution

Jean-Christophe Golaz, +86 more
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Journal Article

Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization

TL;DR: In this article, a new parameterization of oceanic boundary layer mixing is developed to accommodate some of this physics, including a scheme for determining the boundary layer depth h, where the turbulent contribution to the vertical shear of a bulk Richardson number is parameterized.
Journal ArticleDOI

Lagrangian ocean analysis: Fundamentals and practices

TL;DR: Lagrangian analysis is a powerful way to analyse the output of ocean circulation models and other ocean velocity data such as from altimetry as mentioned in this paper, where large sets of virtual particles are integrated within the 3D, time-evolving velocity fields.
Journal ArticleDOI

OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project

TL;DR: The Ocean Model Intercomparison Project (OMIP) as mentioned in this paper is an endorsed project in the Coupled Model Matching Project Phase 6 (CMIP6) which provides a framework for evaluating, understanding, and improving ocean, sea-ice, tracer, and biogeochemical components of climate and earth system models.
Journal ArticleDOI

The Finite Element Sea Ice-Ocean Model (FESOM) v.1.4: formulation of an ocean general circulation model

TL;DR: The Finite Element Sea Ice-Ocean Model (FESOM) as mentioned in this paper is the first global ocean general circulation model based on unstructured-mesh methods that has been developed for the purpose of climate research.
References
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Journal ArticleDOI

General circulation experiments with the primitive equations

TL;DR: In this article, an extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circulation, and the solution corresponding to external gravitational propagation is filtered by requiring the vertically integrated divergence to vanish identically.
Journal ArticleDOI

Least squares quantization in PCM

TL;DR: In this article, the authors derived necessary conditions for any finite number of quanta and associated quantization intervals of an optimum finite quantization scheme to achieve minimum average quantization noise power.

Least Squares Quantization in PCM

TL;DR: The corresponding result for any finite number of quanta is derived; that is, necessary conditions are found that the quanta and associated quantization intervals of an optimum finite quantization scheme must satisfy.
Book

Spatial Tessellations: Concepts and Applications of Voronoi Diagrams

TL;DR: In this article, the Voronoi diagram generalizations of the Voroni diagram algorithm for computing poisson Voroni diagrams are defined and basic properties of the generalization of Voroni's algorithm are discussed.
Journal ArticleDOI

The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model

TL;DR: In this paper, a split-explicit hydrodynamic kernel for a realistic oceanic model is proposed, which addresses multiple numerical issues associated with mode splitting, and is compatible with a variety of centered and upstream-biased high-order advection algorithms, and helps to mitigate computational cost of expensive physical parameterization of mixing processes and submodels.
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