Software documentation Open Access
Petersen, Mark;
Asay-Davis, Xylar;
Jacobsen, Douglas;
Maltrud, Mathew;
Ringler, Todd;
Van Roekel, Luke;
Wolfram, Phillip
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</org:memberOf> </rdf:Description> </dct:creator> <dct:title>MPAS Ocean User's Guide V6</dct:title> <dct:publisher> <foaf:Agent> <foaf:name>Zenodo</foaf:name> </foaf:Agent> </dct:publisher> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2018</dct:issued> <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2018-05-15</dct:issued> <owl:sameAs rdf:resource="https://zenodo.org/record/1246893"/> <adms:identifier> <adms:Identifier> <skos:notation rdf:datatype="http://www.w3.org/2001/XMLSchema#anyURI">https://zenodo.org/record/1246893</skos:notation> <adms:schemeAgency>url</adms:schemeAgency> </adms:Identifier> </adms:identifier> <dct:isVersionOf rdf:resource="https://doi.org/10.5281/zenodo.1246892"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/e3sm"/> <dct:isPartOf rdf:resource="https://zenodo.org/communities/mpas-ocean"/> <dct:description><p>The Model for Prediction Across Scales-Ocean (MPAS-Ocean) is an unstructured-mesh ocean model</p> <p>capable of using enhanced horizontal resolution in selected regions of the ocean domain. Model</p> <p>domains may be spherical with bottom topography to simulate the earth&#39;s oceans, or on Cartesian</p> <p>domains for idealized experiments. The global meshes, created using Spherical Centroidal Voronoi</p> <p>Tesselations (Ringler et al., 2008, 2011) consist of gridcells that vary smoothly from low to high</p> <p>resolution regions. Numerical algorithms specially designed for these grids guarantee that mass,</p> <p>tracers, potential vorticity (in isopycnal mode) and energy are conserved (Thuburn et al., 2009;</p> <p>Ringler et al., 2010). MPAS-Ocean high-resolution and variable-resolution global simulations, as</p> <p>well as descriptions of mesh generation, model capabilities, and algorithms, are presented in Ringler</p> <p>et al. (2013a). The vertical grid is detailed in Petersen et al. (2014), including the Arbitrary</p> <p>Lagrangian Eulerian method, a variety of vertical coordinates, and results from five test cases.</p> <p>MPAS-Ocean is one component within the MPAS framework of climate models that is devel-</p> <p>oped in cooperation between Los Alamos National Laboratory (LANL) and the National Center</p> <p>for Atmospheric Research (NCAR). Functionality that is required by all cores, such as i/o, time</p> <p>management, block decomposition, etc, is developed collaboratively, and this code is shared across</p> <p>cores within the same repository. Each core then solves its own differential equations and physical</p> <p>parameterizations within this framework. This user&#39;s guide reflects the spirit of this collaborative</p> <p>process, where Part I, &quot;The MPAS Framework&quot;, applies to all cores, and the remaining parts apply</p> <p>to MPAS-Ocean.</p> <p>&nbsp;</p> <p>This release of the ocean model corresponds with the initial release of the Energy Exascale</p> <p>Earth System Model (E3SM) by the U.S. Department of Energy (see https://e3sm.org/). E3SM</p> <p>includes MPAS components for ocean, sea ice, and land ice. Each component may be run as a</p> <p>stand-alone model, or coupled within E3SM. MPAS-Ocean now includes biogeochemistry modules,</p> <p>and the ability to control groups of tracers.</p> <p>&nbsp;</p> <p>Information about MPAS-Ocean, including the most recent code, user&#39;s guide, and test cases,</p> <p>may be found at http://mpas-dev.github.com. 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