Model evaluation experiments in the North Atlantic Basin : simulations in nonlinear terrain-following coordinates
By Dale B. Haidvogel, Hernan G. Arango, Katherine S. Hedström, A. Beckmann, P. Malanotte‐Rizzoli, Alexander F. Shchepetkin. 2000
825 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/9277a20f168d4eb17abfe20a59e6c47fb4d1f21f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
- James C. McWilliams
- Hernan G. Arango
- Alexander F. Shchepetkin
- Dujuan Kang
- Andrew M. Moore
- Pierrick Penven
- Oliver B. Fringer
- Christian Mullon
In Global and Planetary Change
- James C. McWilliams
- Alexander F. Shchepetkin
- Hernan G. Arango
- Christian Mullon
- Pierrick Penven
- Andrew M. Moore
- Oliver B. Fringer
- Dujuan Kang
In Oceanography
- James C. McWilliams
- Hernan G. Arango
- Alexander F. Shchepetkin
- Dujuan Kang
- Christian Mullon
- Pierrick Penven
- Andrew M. Moore
- Oliver B. Fringer
Citations in the corpus
- Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System (2008, methodology): “ROMS is a member of a general class of three-dimensional, free-surface, terrain-following numerical models that solve the Reynolds-averaged Navier–Stokes equations using the hydrostatic and Boussinesq assumptions [6,7].”
- Modelling the effect of buoyancy on the transport of anchovy (Engraulis capensis) eggs from spawning to nursery grounds in the southern Benguela: an IBM approach (2003, background): “…ocean model of the southern Benguela upwelling subregion, known as Plume (Penven, 2000), uses the Regional Ocean Modeling System (ROMS) (see Haidvogel et al., 2000) that solves the free surface, hydrostatic, primitive equations of the ocean dynamics over a variable topography using…”
- From particles to individuals : modelling the early stages of anchovy ( Engraulis capensis/encrasicolus ) in the southern Benguela (2003, methodology): “(2001) through implementation of the Regional Ocean Modelling System (ROMS; Haidvogel et al., 2000), developed at Rutgers University and the University of California.”
- Influence of vertical migration pattern on retention of crab larvae in a seasonal upwelling system (2006, methodology): “The model used was the Regional Ocean Modeling System (ROMS) (Haidvogel et al. 2000) and it was forced by wind and heat fluxes from the National Centers for Environmental Prediction (NCEP) reanalysis database, which were interpolated for the simulation grid.”
- Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area (2012, methodology): “MacCready et al. (2009) provided the kinetic and potential energy equations for the hydrostatic Regional Ocean Modeling System (ROMS) (Haidvogel et al. 2000).”
- A method for computing horizontal pressure‐gradient force in an oceanic model with a nonaligned vertical coordinate (2003, methodology): “This is the expected behavior from observations [Haidvogel et al., 2000].”
- Modelling the transport success of anchovy Engraulis encrasicolus eggs and larvae in the southern Benguela: the effect of spatio-temporal spawning patterns (2003, methodology): “The ocean model is the regional ocean modelling system (ROMS; Haidvogel et al. 2000).”
- A finite-element ocean model: principles and evaluation (2004, result): “6) compare well with the other estimates obtained with models of comparable resolution (see Chassignet et al., 2000; Haidvogel et al., 2000).”
- The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems Part I - System overview and formulation (2011, methodology): “Even though ROMS is designed with coastal applications is mind, it has also been applied in deep water regions (e.g. Curchitser et al., 2005), on basin scales (e.g. Haidvogel et al., 2000), and to the global ocean (Auad, 2009, personal communication).”
- Correction and commentary for "Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the regional ocean modeling system" by Haidvogel et al., J. Comp. Phys 227, pp 3595-3624 (2009, background): “However, we discovered that H2008 cuts and pastes three large chunks from SM2005 and reuses the model-formulation section from Haidvogel et al.(2000) [3] in a way that impairs the original relations between the parts.”
- A comprehensive ocean prediction and analysis system based on the tangent linear and adjoint of a regional ocean model (2004, methodology): “ROMS has been used to model the circulation in a variety of different regions of the world ocean (e.g. Haidvogel et al., 2000; Malanotte-Rizzoli et al., 2000; She and Klinck, 2000; Di Lorenzo et al., 2004; MacCready and Geyer, 2001; Penven et al., 2000, 2001a,b; Marchesiello et al., 2002).”
- The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model (2005, methodology): “Built around this kernel, ROMS has been applied to several oceanographic studies of basin-scale and coastal circulation (e.g., Haidvogel et al. (2000); Marchesiello et al. (2003)).”
- Development of a three-dimensional, regional, coupled wave, current, and sediment-transport model (2008, background): “For curvilinear grids, additional metric terms appear (Haidvogel et al., 2000) that are not shown here.”
- Generation and unstable evolution of a density‐driven Eastern Poleward Current: The Iberian Poleward Current (2003, methodology): “[10] The experiments were conducted with a primitive equation model using a curvilinear, and terrain-following coordinate system (Regional Ocean Modeling System, ROMS [Haidvogel et al., 2000]).”
- Rescaled height coordinates for accurate representation of free-surface flows in ocean circulation models (2004, methodology): “Until recently there has been essentially three classes of ocean model based on their choice of vertical coordinate: (i) height coordinate models such as MOM4 (Griffies et al., 2003), the MIT ocean model (Marshall et al., 1997a) and POP (Smith et al., 1992); (ii) terrain following coordinate models ”