CITATION.cff

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cff-version: 1.2.0
title: '  The Stratified Ocean Model with Adaptive Refinement (SOMAR)'
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Edward
    family-names: Santilli
    email: Edward.Santilli@jefferson.edu
    affiliation: Jefferson University - East Falls Campus
    orcid: 'https://orcid.org/0000-0001-7925-7252'
  - given-names: Alberto
    family-names: Scotti
    email: adscotti@asu.edu
    affiliation: Arizona State University
    orcid: 'https://orcid.org/0000-0001-8283-3070'
identifiers:
  - type: doi
    value: 10.5281/zenodo.14609305
    description: Software version used SOMARv2 paper (upcoming).
repository-code: 'https://github.com/MUON-CFD/SOMAR'
url: 'https://somar.readthedocs.io/'
abstract: >-
  Numerical studies of submesoscale ocean dynamics are
  restricted by several challenges, including its vast range
  of scales, nonhydrostatic features, and strong anisotropy.
  The Stratified Ocean Model with Adaptive Refinement
  (SOMAR) was developed to address many of these issues.
  Recent improvements to SOMAR incorporate Runge-Kutta time
  integration, Arakawa-C grids, new grid transfer methods,
  and error controllers in an effort to increase the model's
  fidelity and stability. In this paper, we detail these
  recent improvements, establish SOMARv2's accuracy, and
  demonstrate its utility as an efficient submesoscale
  model.
keywords:
  - Computational fluid dynamics
  - Multiscale modeling
  - Adaptive mesh refinement
  - Physical oceanography
  - Internal waves
  - Navier Stokes Equations
  - Incompressible flow
license: LGPL-2.1-or-later
commit: a1dadce3e664650fd7e10328c5eebb6209992ae3
version: v2.0.0
date-released: '2025-01-02'