Navy Real-time Global Modeling Systems

Rhodes, Robert C.; Hurlburt, Harley E.; Wallcraft, Alan J.; Barron, Charlie N.; Martin, Paul J.; Metzger, E. Joseph; Shriver, Jay F.; Ko, Dong S.; Smedstad, Ole Martin; Cross, Scott; Kara, A. Birol

doi:10.5670/oceanog.2002.34

Cited by 84 publications

(56 citation statements)

References 14 publications

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“…1a, Fox et al 2002), which uses the SST and SSH data to generate synthetic temperature and salinity profiles. Open boundary conditions for the regional NCOM-CCS are derived from the global NCOM (Rhodes et al 2002;Barron et al 2004), which has a 1 /88 horizontal resolution. In the version used here, the vertical coordinate system is composed of 40 levels total, 19 s (terrain following) levels on top of 21 z (constant depth) levels (Shulman et al 2007).…”

Section: ) Navy Coastal Ocean Modelmentioning

confidence: 99%

Coastal Trapped Waves, Alongshore Pressure Gradients, and the California Undercurrent*

Connolly

Hickey

Shulman

et al. 2014

Journal of Physical Oceanography

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The California Undercurrent (CUC), a poleward-flowing feature over the continental slope, is a key transport pathway along the west coast of North America and an important component of regional upwelling dynamics. This study examines the poleward undercurrent and alongshore pressure gradients in the northern California Current System (CCS), where local wind stress forcing is relatively weak. The dynamics of the undercurrent are compared in the primitive equation Navy Coastal Ocean Model and a linear coastal trapped wave model. Both models are validated using hydrographic data and current-meter observations in the core of the undercurrent in the northern CCS. In the linear model, variability in the predominantly equatorward wind stress along the U.S. West Coast produces episodic reversals to poleward flow over the northern CCS slope during summer. However, reproducing the persistence of the undercurrent during late summer requires additional incoming energy from sea level variability applied south of the region of the strongest wind forcing. The relative importance of the barotropic and baroclinic components of the modeled alongshore pressure gradient changes with latitude. In contrast to the southern and central portions of the CCS, the baroclinic component of the alongshore pressure gradient provides the primary poleward force at CUC depths over the northern CCS slope. At time scales from weeks to months, the alongshore pressure gradient force is primarily balanced by the Coriolis force associated with onshore flow.

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Section: ) Navy Coastal Ocean Modelmentioning

confidence: 99%

Coastal Trapped Waves, Alongshore Pressure Gradients, and the California Undercurrent*

Connolly

Hickey

Shulman

et al. 2014

Journal of Physical Oceanography

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“…The direct Kuroshio volume transport measurement is difficult, and the record length is too short compared to the typical eddy timescales . In this study, we analyze the Kuroshio transport variability using 8 years (2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) of reanalysis product from a high-resolution regional ocean model, the East Asian Seas Nowcast/Forecast System (EASNFS) of the US Naval Research Laboratory (NRL) (Rhodes et al 2002;Ko et al 2009) (http:// www7320.nrlssc.navy.mil/NLIWI_WWW/EASNFS_ WWW/EASNFS_intro.html). Unlike the previous~20-month PCM-1 transport measurements, the 8-year EASNFS reanalysis time period is considerably longer than the eddy timescales.…”

mentioning

confidence: 99%

The mesoscale eddies and Kuroshio transport in the western North Pacific east of Taiwan from 8-year (2003–2010) model reanalysis

Lee

Wang

et al. 2013

Ocean Dynamics

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The relationship between the Kuroshio volume transport east of Taiwan (~24°N) and the impinging mesoscale eddies is investigated using 8-year reanalysis of a primitive equation ocean model that assimilates satellite altimetry and SST data. The mean and fluctuations of the model Kuroshio transport agree well with the available observations. Analysis of model dynamic heights and velocity fields reveals three dominant eddy modes. The first mode describes a large eddy of~500 km in diameter, centered at 22°N. The second mode describes a pair of the north-south counter-rotating eddies of~400 km in diameter each, centered at 23°and 20°N, respectively. The third mode describes a pair of the east-west counter-rotating eddies of~300 km in diameter each, centered at 21°N. The associated velocity fields indicate eddies extending to 600-700 m in depth with vertical shears concentrated in the upper 400 m. All three modes and the model Kuroshio transport have similar dominant timescales of 70-150 days and generally are coherent. The decreased Kuroshio volume transports typically are associated with the impinging cyclonic eddies and the increased transports with the anticyclonic eddies. Selected drifter trajectories are presented to illustrate the three eddy modes and their correspondence with the varying Kuroshio transports.

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“…The NCOM-LSC is embedded in the regional Intra-Americas Sea Nowcast/Forecast System (IASNFS) [17,18] that covers the Gulf of Mexico and Caribbean Sea and in turn IASNFS uses the Navy Global NCOM model [1] for boundary conditions. The NCOM-LSC model grid follows longitude-latitude lines with 1.9 km grid size on average.…”

Section: Ocean Model Configurationmentioning

confidence: 99%

“…Ocean models with adequate parameterization, boundary conditions, forcing, and validation can provide important information describing past (hindcast), current (nowcast), and future (forecast) states of the ocean from global to regional and local scales, e.g., [1]. Hydrodynamic models can improve understanding of a wide variety of processes; including heat transfer, advection, mixing, and material transport.…”

Section: Introductionmentioning

confidence: 99%

Impact of Satellite Remote Sensing Data on Simulations of Coastal Circulation and Hypoxia on the Louisiana Continental Shelf

Gould

Penta

et al. 2016

Remote Sensing

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Abstract:We estimated surface salinity flux and solar penetration from satellite data, and performed model simulations to examine the impact of including the satellite estimates on temperature, salinity, and dissolved oxygen distributions on the Louisiana continental shelf (LCS) near the annual hypoxic zone. Rainfall data from the Tropical Rainfall Measurement Mission (TRMM) were used for the salinity flux, and the diffuse attenuation coefficient (Kd) from Moderate Resolution Imaging Spectroradiometer (MODIS) were used for solar penetration. Improvements in the model results in comparison with in situ observations occurred when the two types of satellite data were included. Without inclusion of the satellite-derived surface salinity flux, realistic monthly variability in the model salinity fields was observed, but important inter-annual variability was missed. Without inclusion of the satellite-derived light attenuation, model bottom water temperatures were too high nearshore due to excessive penetration of solar irradiance. In general, these salinity and temperature errors led to model stratification that was too weak, and the model failed to capture observed spatial and temporal variability in water-column vertical stratification. Inclusion of the satellite data improved temperature and salinity predictions and the vertical stratification was strengthened, which improved prediction of bottom-water dissolved oxygen. The model-predicted area of bottom-water hypoxia on the Louisiana shelf, an important management metric, was substantially improved in comparison to observed hypoxic area by including the satellite data.

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Navy Real-time Global Modeling Systems

Cited by 84 publications

References 14 publications

Coastal Trapped Waves, Alongshore Pressure Gradients, and the California Undercurrent*

Coastal Trapped Waves, Alongshore Pressure Gradients, and the California Undercurrent*

The mesoscale eddies and Kuroshio transport in the western North Pacific east of Taiwan from 8-year (2003–2010) model reanalysis

Impact of Satellite Remote Sensing Data on Simulations of Coastal Circulation and Hypoxia on the Louisiana Continental Shelf

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