May 15, 2018 Software documentation Open Access

Petersen, Mark; Asay-Davis, Xylar; Jacobsen, Douglas; Maltrud, Mathew; Ringler, Todd; Van Roekel, Luke; Wolfram, Phillip

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1246893", 
  "author": [
    {
      "family": "Petersen, Mark"
    }, 
    {
      "family": "Asay-Davis, Xylar"
    }, 
    {
      "family": "Jacobsen, Douglas"
    }, 
    {
      "family": "Maltrud, Mathew"
    }, 
    {
      "family": "Ringler, Todd"
    }, 
    {
      "family": "Van Roekel, Luke"
    }, 
    {
      "family": "Wolfram, Phillip"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2018, 
        5, 
        15
      ]
    ]
  }, 
  "abstract": "<p>The Model for Prediction Across Scales-Ocean (MPAS-Ocean) is an unstructured-mesh ocean model</p>\n\n<p>capable of using enhanced horizontal resolution in selected regions of the ocean domain. Model</p>\n\n<p>domains may be spherical with bottom topography to simulate the earth&#39;s oceans, or on Cartesian</p>\n\n<p>domains for idealized experiments. The global meshes, created using Spherical Centroidal Voronoi</p>\n\n<p>Tesselations (Ringler et al., 2008, 2011) consist of gridcells that vary smoothly from low to high</p>\n\n<p>resolution regions. Numerical algorithms specially designed for these grids guarantee that mass,</p>\n\n<p>tracers, potential vorticity (in isopycnal mode) and energy are conserved (Thuburn et al., 2009;</p>\n\n<p>Ringler et al., 2010). MPAS-Ocean high-resolution and variable-resolution global simulations, as</p>\n\n<p>well as descriptions of mesh generation, model capabilities, and algorithms, are presented in Ringler</p>\n\n<p>et al. (2013a). The vertical grid is detailed in Petersen et al. (2014), including the Arbitrary</p>\n\n<p>Lagrangian Eulerian method, a variety of vertical coordinates, and results from five test cases.</p>\n\n<p>MPAS-Ocean is one component within the MPAS framework of climate models that is devel-</p>\n\n<p>oped in cooperation between Los Alamos National Laboratory (LANL) and the National Center</p>\n\n<p>for Atmospheric Research (NCAR). Functionality that is required by all cores, such as i/o, time</p>\n\n<p>management, block decomposition, etc, is developed collaboratively, and this code is shared across</p>\n\n<p>cores within the same repository. Each core then solves its own differential equations and physical</p>\n\n<p>parameterizations within this framework. This user&#39;s guide reflects the spirit of this collaborative</p>\n\n<p>process, where Part I, &quot;The MPAS Framework&quot;, applies to all cores, and the remaining parts apply</p>\n\n<p>to MPAS-Ocean.</p>\n\n<p>&nbsp;</p>\n\n<p>This release of the ocean model corresponds with the initial release of the Energy Exascale</p>\n\n<p>Earth System Model (E3SM) by the U.S. Department of Energy (see https://e3sm.org/). E3SM</p>\n\n<p>includes MPAS components for ocean, sea ice, and land ice. Each component may be run as a</p>\n\n<p>stand-alone model, or coupled within E3SM. MPAS-Ocean now includes biogeochemistry modules,</p>\n\n<p>and the ability to control groups of tracers.</p>\n\n<p>&nbsp;</p>\n\n<p>Information about MPAS-Ocean, including the most recent code, user&#39;s guide, and test cases,</p>\n\n<p>may be found at http://mpas-dev.github.com. This user&#39;s guide refers to MPAS-Ocean version 6.</p>", 
  "title": "MPAS Ocean User's Guide V6", 
  "type": "article", 
  "id": "1246893"
}