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

By Alexander F. Shchepetkin, James C. McWilliams. 2005

4,892 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/4c41b4e8e67e9359cd07437c89815aed5ab5dcbe

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Citations in the corpus

A Vector Geometry–Based Eddy Detection Algorithm and Its Application to a High-Resolution Numerical Model Product and High-Frequency Radar Surface Velocities in the Southern California Bight (2010, methodology): “(Shchepetkin and McWilliams 2005), was used to generate daily velocity fields for 8 years, from 1996 to 2003.”
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).”
The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation (2011, background): “…is beyond the scope of this paper, however thorough descriptions of the numerical schemes, physical parameterizations, and open boundary condition options can be found in Shchepetkin and McWilliams (2003), Shchepetkin and McWilliams (2005), Marchesiello et al. (2001), and Haidvogel et al. (2008).”
Air–sea interaction over ocean fronts and eddies (2008, methodology): “…model grids, domains and simulation times ), POM the Princeton Ocean Model (Blumberg and Mellor, 1987), ROMS: the Regional Oceanic Modelling System (Shchepetkin and McWilliams, 2005), COAMPS the Naval Research Laboratory Coupled Ocean/Atmosphere Mesoscale Prediction System (Hodur et al., 1997),…”
SELFE: A semi-implicit Eulerian–Lagrangian finite-element model for cross-scale ocean circulation (2008, methodology): “The internal wave speed calculated by SELFE is 90.3% of the analytical value, which compares well with the 90–94% range obtained with ROMS with various parameter choices; on the other hand, the best ELCIRC result, with the same horizontal resolution (but with rectangular elements) and initial vertic”
A Lagrangian tool for modelling ichthyoplankton dynamics (2008, methodology): “The tool uses time series of velocity, temperature and salinity fields archived from oceanic simulations of the ''Regional Oceanic Modelling System'' (ROMS, Shchepetkin and McWilliams, 2005) or the ''Model for Applications at Regional Scale'' (MARS, Lazure and Dumas, 2008).”
End-To-End Models for the Analysis of Marine Ecosystems: Challenges, Issues, and Next Steps (2010, positive): “The community involvement in the Regional Ocean Modeling System (ROMS) modeling effort (Shchepetkin and McWilliams 2005) is a good example of an open-source, community approach to model development.”
Exploring, exploiting and evolving diversity of aquatic ecosystem models: a community perspective (2015, neutral): “(http://en. wikipedia.org/wiki/Regional_Ocean_Modeling_System | https://www.myroms.org | Shchepetkin and McWilliams 2005).”
Dispersion of salmon lice in the Hardangerfjord (2014, methodology): “The coastal ocean model and the fjord model we use are based on the Regional Ocean Model System (ROMS, www.myroms.org; Shchepetkin & McWilliams 2005; Haidvogel et al. 2008).”
Vertical salmon lice behaviour as a response to environmental conditions and its influence on regional dispersion in a fjord system (2014, methodology): “The numerical circulation model we used is an implementation of the Regional Ocean Model System, NorKyst800 (Shchepetkin & McWilliams 2005, Albretsen 2011; www.myroms.org).”