The Navy's Operational Atmospheric Analysis

Goerss, James S.; Phoebus, Patricia A.

doi:10.1175/1520-0434(1992)007<0232:tnoaa>2.0.co;2

Cited by 51 publications

(17 citation statements)

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“…A complete derivation and description of the MVOI method is provided in Daley (1991), with application to atmospheric systems given in Lorenc (1981) and Goerss and Phoebus (1992). The ocean analysis variables are temperature, salinity, geopotential (dynamic height) and velocity.…”

Section: Methodsmentioning

confidence: 99%

Operational multivariate ocean data assimilation

Cummings

2005

Quart J Royal Meteoro Soc

625

380

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SUMMARYA fully three-dimensional, multivariate, optimum-interpolation ocean data assimilation system has been developed that produces simultaneous analyses of temperature, salinity, geopotential and vector velocity. The system is run in real-time, and can be executed as a stand-alone analysis or cycled with an ocean forecast model in a sequential incremental update cycle. Additional capabilities have been built into the system, including flow-dependent background-error correlations and background-error variances that vary in space and evolve from one analysis cycle to the next. The ocean data types assimilated include: remotely sensed sea surface temperature, sea surface height, and sea-ice concentration; plus in situ surface and sub-surface observations of temperature, salinity, and currents from a variety of sources, such as ships, buoys, expendable bathythermographs, conductivity-temperature-depth sensors, and profiling floats. An ocean data quality-control system is fully integrated with the multivariate analysis, and includes feedback of forecast fields and prediction errors in the quality control of new observations. The system is operational at the US Navy oceanographic production centres both in global and in regional applications. It is being implemented as the data assimilation component of the Hybrid Coordinate Ocean Model as part of the US contribution to the Global Ocean Data Assimilation Experiment, and in a limited-area ensemble-based forecasting system that will be used in an adaptive sampling, targeted observation application.

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Section: Methodsmentioning

confidence: 99%

Operational multivariate ocean data assimilation

Cummings

2005

Quart J Royal Meteoro Soc

625

380

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“…The system includes a comprehensive atmospheric analysis system (Goerss and Phoebus 1992) that employs a three-dimensional multivariate optimum interpolation method (MVOI; Barker 1992) to assimilate a wide range of surface, radiosonde, and satellite meteorological observations. MVOI is used in this study, but recently, a new three-dimensional variational data assimilation system, the NRL Atmospheric Variational Data Assimilation System has been made available for COAMPS (Langland and Baker 2004).…”

Section: Coamps Atmospheric Modelmentioning

confidence: 99%

Turbulent heat fluxes during an intense cold-air outbreak over the Kuroshio Extension Region: results from a high-resolution coupled atmosphere–ocean model

et al. 2011

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The coupled ocean atmosphere mesoscale prediction system that includes the Navy Coastal Ocean Model has been configured for the Kuroshio Extension region using multiple one-way nested high-resolution grids. The coupled model system was used to simulate a strong cold-air outbreak event from 31 Jan to 7 Feb 2005 in good agreement with meteorological data from a surface buoy data and QuikSCAT scatterometer winds. Latent heat fluxes and sensible heat fluxes were computed during the event with daily averages in excess of 1,500 W/m 2 and 500 W/m 2 , respectively, and combined instantaneous turbulent heat fluxes up to 2,300 W/ m 2 . The largest heat fluxes were found in two large meanders of the Kuroshio and along its southern flank. Strong gradients in turbulent heat fluxes coincided with strong sea surface temperature gradients and were maintained during the cold-air outbreak simulation. The large turbulent heat fluxes lead to significant subtropical mode water formation during the event at a rate about 10 Sv in the cyclonic recirculation region south of the Kuroshio. This increased the volume of core layer mode water within the temperature range 16°C to 18°C by 10% and increased the surface area of that layer directly exposed to the atmosphere by a factor close to 5 in the model domain.

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“…This data set is provided as a part of the Global Ocean Data Assimilation Experiment (GODAE). These winds are reanalyzed to a 11 by 11 horizontal grid (Goerss and Phoebus, 1992). …”

Section: Data Setsmentioning

confidence: 99%