Ocean forecasting in terrain-following coordinates: Formulation and skill assessment of the Regional Ocean Modeling System

By Dale B. Haidvogel, Hernan G. Arango, W. Budgell, Bruce D. Cornuelle, Enrique Curchitser, Emanuele Di Lorenzo, Katja Fennel, W. Geyer, Albert J. Hermann, L. Lanerolle and 10 more. Journal of Computational Physics, 2008

1,357 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/7bbda82bed13a2cd133e4bcc8a844413bc1d6556

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Citations in the corpus

Evaluating tradeoffs among ecosystem services to inform marine spatial planning (2013, methodology): “The larval dispersal matrix is derived from a Regional Ocean Modeling System 213 [68] oceanographic circulation model [69], assuming a pelagic larval duration of 26-36 days; 214”
Modulation of Wind-Work by Oceanic Current Interaction with the Atmosphere (2016, methodology): “The surface stress is estimated using a bulk formula with a velocity that is the surface wind relative to the ocean surface current: where U a and U o are the surface wind (at the ﬁrst vertical level in WRF) and the surface current (at ROMS ﬁrst surface level), respectively.”
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): “[1,3,4,6] in H2008; also Section 2 in DAMEE2000).”
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).”
B‐preconditioned minimization algorithms for variational data assimilation with the dual formulation (2014, background): “Terrain-following vertical coordinates are employed allowing for greater vertical resolution in shallow water and regions with complex bathymetry (Marchesiello et al., 2001; Shchepetkin and McWilliams, 2003, 2005; Haidvogel 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).”
Submesoscale Instability and Generation of Mesoscale Anticyclones near a Separation of the California Undercurrent (2015, methodology): “Our experience is that in the ROMS-to-ROMS nesting interface, these artifacts are largely avoided even for realistic flows with high mesoscale activity (Mason et al. 2010).”