2011
DOI: 10.1016/j.pocean.2011.05.004
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The Regional Ocean Modeling System (ROMS) 4-dimensional variational data assimilation systems

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Cited by 239 publications
(134 citation statements)
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“…This OOFS is based on the 7-km horizontal resolution Regional Ocean Modeling System (ROMS) using boundary conditions from the HYCOM-NCODA global OOFS. The system is initialized using daily analyses from a Four-Dimensional Variational (4DVAR) analysis system with a 3-day analysis window (Moore et al 2011), which assimilates a large set of data [including glider T/S profiles and CODAR HF-Radar measurements (http://www.myroms.org/espresso/)].…”
Section: Specific Approaches For Regional Operational Systemsmentioning
confidence: 99%
“…This OOFS is based on the 7-km horizontal resolution Regional Ocean Modeling System (ROMS) using boundary conditions from the HYCOM-NCODA global OOFS. The system is initialized using daily analyses from a Four-Dimensional Variational (4DVAR) analysis system with a 3-day analysis window (Moore et al 2011), which assimilates a large set of data [including glider T/S profiles and CODAR HF-Radar measurements (http://www.myroms.org/espresso/)].…”
Section: Specific Approaches For Regional Operational Systemsmentioning
confidence: 99%
“…The Regional Ocean Modeling System (ROMS) is a stateof-the-art, free-surface, hydrostatic primitive equation ocean circulation model being used for applications from coastal to basin to global scales by a large global community (Moore et al, 2010;Haidvogel et al, 2008;Shchepetkin and McWilliams, 2005). Shchepetkin and McWilliams (2005) describe the ROMS computational algorithms in detail.…”
Section: Model Setupmentioning
confidence: 99%
“…The ROMS 4DVAR procedure adjusts the initial condition and surface forcing, within the given error bars, to bring the model fit into a closer correspondence to the observed data, in a least-square sense, over a defined assimilation time window. This strategy uses the tangent linear and adjoint models (Moore et al, 2010) in an iterative inner loop to deal with the non-linearities of the system. IS4DVAR has been tested by Di Lorenzo et al (2007) in an idealized 3-D double gyre circulation and in a realistic application for the geometry and bathymetry of the Southern California Bight (SCB), a region characterized by strong mesoscale eddy variability like the SEP. After a first-guess non-linear run of ROMS, several purely linear inner loops are executed to reduce the misfit, as measured by the cost function.…”
Section: Assimilation Techniquementioning
confidence: 99%
“…Progress in this area is attributable primarily to the Global Ocean Data Assimilation Experiment project, which, crucially, supports near-real-time collection, processing, and management of oceanographic data [6] [7]. In addition, several state-of-the-art community ocean models, which can be coupled with data assimilation schemes, have been developed as open-source code (e.g., ROMS [8] and ECCO [9]) and have contributed to making ocean nowcasting and forecasting relatively easy. Consequently, physical oceanographic studies have made rapid progress in the areas of ocean dynamics and predictability.…”
Section: Introductionmentioning
confidence: 99%