A climatology of mesoscale model simulated low-level wind jets over Cook Inlet and Shelikof Strait, Alaska

Liu, Haibo; Olsson, Peter Q.; Volz, Karl P.; Han, Youngho

doi:10.1016/j.ecss.2006.06.011

Cited by 20 publications

(15 citation statements)

References 31 publications

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“…This archive contains a plethora of snapshots of the near-surface wind fields associated with a wide variety of synoptic-scale and mesoscale atmospheric phenomena. Some examples of the phenomena imaged within the archive include polar lows (Sikora et al 2000), synoptic-scale fronts (Young et al 2005), boundary layer convection (Babin et al 2003), gap flows (Liu et al 2006), vortex streets and atmospheric gravity waves (Li 2004), and barrier jets (Loescher et al 2006;Colle et al 2006).…”

Section: Sar Dataset and Methodsmentioning

confidence: 99%

Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska

Winstead¹,

Colle²,

Bond³

et al. 2006

Bull. Amer. Meteor. Soc.

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Section: Sar Dataset and Methodsmentioning

confidence: 99%

Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska

Winstead¹,

Colle²,

Bond³

et al. 2006

Bull. Amer. Meteor. Soc.

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“…Estimation to long return periods is necessarily constrained in this manner; yet, as discussed by Sobey and Orloff (1995), "extrapolations of inadequate data will continue to be made." In fact, Morton et al (1997) have estimated values of SWH 100 based on only 4 years of measurements in the North Sea, and Liu et al (2006) have drawn climatologic inferences based on simulations of even shorter durations.…”

Section: Discussionmentioning

confidence: 99%

“…A more likely source of errors may be inaccuracies in NOAA's wind fields in the near-shore areas arising from the presence of islands and other subgrid-scale topographical features (our sub-domain simulations were based on an interpolation of the original NOAA winds available on a 25-km grid). Until a regional wind prediction scheme (e.g., Liu et al 2006) is installed, however, we have no alternative. Hanna et al (2006) have reported some overestimation by the NOAA wind model in the Gulf of Mexico, whereas Rogers et al (2007) report that these wind fields were comparable to other modeled wind products in the Southern California Bight.…”

Section: Methods: Fine-grid Coastal Modelingmentioning

confidence: 98%

Wave Climatology in Coastal Maine for Aquaculture and Other Applications

Panchang

Jeong

2007

Estuaries and Coasts: J CERF

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Wind waves represent a significant hydrodynamic factor affecting many oceanographic studies such as sediment transport, design of structures, etc. In coastal Maine, wave information is needed, among other applications, for aquaculture-related activities. As few data sources exist, a question that confronts scientists pertains to the magnitudes of typical and extreme wave conditions at various times. To address this, numerical modeling was performed for a period of six and a half years (7/99-12/05) on a continuous basis by coupling National Oceanic and Atmospheric Administration's outer ocean predictions to two coastal, high-resolution, regional domain grids encompassing the Penobscot Bay and Machias Bay regions where aquaculture activity is prevalent and expanding. As the modeling involves uncertainties because of bathymetric and wind field representations, their effect on the results was explored. It was found that although the uncertainties could create inaccuracies in real-time forecasts, their effect on the development of climatogies was minimal. Average modeled significant wave heights are found to vary between 0.6 and 1.5 m in the sub-domains. The maximum conditions are of the order of 6.5 m in the outer parts of the sub-domains and occurred in September and December. Estimated waveinduced bottom velocities were found in many areas to be in excess of the published estimates of resuspension thresholds for net-pen wastes. Estimates of "extreme" wave conditions, corresponding to a recurrence interval of 30 years (representing the nominal design life of the cage), were found to vary between 2 and 7 m in the modeled areas. Detailed contour maps have been developed for sitespecific characterization of the wave climate.

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“…The system also incorporates a regional atmospheric circulation model (RAMS; Pielke et al 1992;Liu et al 2006) and a coupled ocean circulation model (extended PWS nowcast/forecast system, EPWS/NFS; Fig. 1), both of which are able to provide up to a 72-h forecast.…”

Section: Prince William Sound Nowcast/forecast Systemmentioning

confidence: 99%

Transport through Prince William Sound: numerical study in a nowcast/forecast system

2011

Ocean Dynamics

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Using 1-year simulated data from extended Prince William Sound (PWS) nowcast/forecast system, both barotropic and baroclinic transports through twostrait, semi-enclosed PWS are examined. With major tidal constituents removed, hourly time series of volume transports through two straits are significantly correlated with net transport well balanced by the time rate of change of the PWS spatial-mean sea level. A transition frequency band occurs within the coherence function of hourly volume transports, which is characterized by a nearly 180 • phase shift between lowfrequency (>30 h) and high-frequency (<6 h) bands. The transition band is implicitly related to the horizontally divergent and horizontally non-divergent flows inside the Sound. Further investigation of monthly and annual mean volume transports indicates strong seasonal variability of flows through two straits. On the other hand, baroclinic transport through PWS demonstrates the transition between a two-layered flow structure during the wintertime and a well-defined three-layered structure, i.e., inflow in both the surface and bottom layer with outflow in the intermediate layer, in the remainder of the year. This three-layer exchange flow is determined to be mainly buoyancy-driven, geostrophic flow, and thus largely affected by seasonal variability of buoyancy over the shelf and PWS.

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A climatology of mesoscale model simulated low-level wind jets over Cook Inlet and Shelikof Strait, Alaska

Cited by 20 publications

References 31 publications

Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska

Using SAR Remote Sensing, Field Observations, and Models to Better Understand Coastal Flows in the Gulf of Alaska

Wave Climatology in Coastal Maine for Aquaculture and Other Applications

Transport through Prince William Sound: numerical study in a nowcast/forecast system

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