Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System
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Abstract
Systematic improvements in algorithmic design of regional ocean circulation models have led to significant enhancement in simulation ability across a wide range of space/time scales and marine system types. As an example, we briefly review the Regional Ocean Modeling System, a member of a general class of three-dimensional, free-surface, terrain-following numerical models. Noteworthy characteristics of the ROMS computational kernel include: consistent temporal averaging of the barotropic mode to guarantee both exact conservation and constancy preservation properties for tracers; redefined barotropic pressure-gradient terms to account for local variations in the density field; vertical interpolation performed using conservative parabolic splines; and higher-order, quasi-monotone advection algorithms. Examples of quantitative skill assessment are shown for a tidally driven estuary, an ice-covered high-latitude sea, a wind- and buoyancy-forced continental shelf, and a mid-latitude ocean basin. The combination of moderate-order spatial approximations, enhanced conservation properties, and quasi-monotone advection produces both more robust and accurate, and less diffusive, solutions than those produced in earlier terrain-following ocean models. Together with advanced methods of data assimilation and novel observing system technologies, these capabilities constitute the necessary ingredients for multi-purpose regional ocean prediction systems.
Publication type | Article |
---|---|
Publication Subtype | Journal Article |
Title | Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System |
Series title | Journal of Computational Physics |
DOI | 10.1016/j.jcp.2007.06.016 |
Volume | 227 |
Issue | 7 |
Year Published | 2008 |
Language | English |
Contributing office(s) | Woods Hole Coastal and Marine Science Center |
Description | 30 p. |
Larger Work Type | Article |
Larger Work Subtype | Journal Article |
Larger Work Title | Journal of Computational Physics |
First page | 3595 |
Last page | 3624 |
Google Analytic Metrics | Metrics page |