Experimental Study of High Wind Sea Surface Drag Coefficient

Репина, И. А.; Artamonov, A. A.; Varentsov, Mikhail; Kozyrev, A. V.

doi:10.22449/0233-7584-2015-1-53-63

Cited by 2 publications

(1 citation statement)

References 22 publications

(26 reference statements)

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“…However, in the coastal zone and during stormy winds, the dependence of the drag coefficient on wind speed differs from the standard one [45]. Fetch-limited waves are characterized by more intense wind pumping and stronger non-linearity than is the case in the standard parameterization ST1, which is configured for modeling in the open sea.…”

Section: Experiments With Different Wind Input Parameterizationsmentioning

confidence: 99%

Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

2020

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This paper investigates for the first time sea waves during Novaya Zemlya bora—a downslope windstorm on the western coast of the archipelago during eastern winds—using a statistical and case-study approach. Statistical analysis of altimeter data off the western coast of Novaya Zemlya during bora shows that, despite strong wind forcing, the frequency of hazard wave heights was low due to the limited fetch. This result was confirmed by the high-resolution numerical simulations of two severe bora episodes. However, the influence of bora on sea waves in some cases was significant: bora increased wave height at a distance from shore greater than 200 km and wave height anomaly was up to 2–3 m. The influence of the wind input parametrization choice during bora is great in the coastal region; however, parametrizations with fetch-limited modifications and strong-wind adopted aerodynamic drag coefficient do not improve the modeling results in the open sea where altimeter data are available.

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Section: Experiments With Different Wind Input Parameterizationsmentioning

confidence: 99%

Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

2020

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Updated System for the Sea Wave Operational Forecast of the Black Sea Marine Forecasting Center

Ratner¹,

Фомін²,

Kholod³

et al. 2021

MGZh

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Purpose. The work is aimed at updating the sea wave forecasting system developed in the Black Sea Marine Forecasting Center by including the block of wind wave forecast in the Sevastopol region and by improving the wave forecast accuracy using the proposed procedure for the SWAN model tuning. Methods and Results. In the updated forecasting system, the possibility of performing the joint operational sea wave forecasts for the Black Sea and the Sevastopol region (with the 5 and 1 km spatial resolutions, respectively) became possible due to the nested grid method applied. To improve accuracy of the wave forecasts, the procedure for the SWAN model tuning was proposed. It is based on changing the parameterization of the surface friction coefficient 𝐶𝑑(𝑉), where V is the surface wind speed. This permits to reduce the deviations of the forecasted wave heights from those obtained from the satellite altimetry measurements. Efficiency of the proposed procedure was assessed through comparison of the forecasting results with the remote sensing data. It is shown that in the forecasts supplied with an optimal choice of functional dependence 𝐶𝑑(𝑉), the scattering index between the forecasted and measured values can be reduced by 20 %. Conclusions. Represented is the updated system of the Black Sea Marine Forecasting Center intended for the joint operational sea wave forecasts in the Black Sea and in the Sevastopol region. The results of model validation have shown that the procedure proposed for tuning the SWAN model makes it possible to reduce the deviations of the forecasted wave heights from those measured by the sensors installed at the altimetry satellites.

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Experimental Study of High Wind Sea Surface Drag Coefficient

Cited by 2 publications

References 22 publications

Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

Influence of Novaya Zemlya Bora on Sea Waves: Satellite Measurements and Numerical Modeling

Updated System for the Sea Wave Operational Forecast of the Black Sea Marine Forecasting Center

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