Turbulence flux observations at tower-based platform reveal modulation mechanism of wind waves on surface wind

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Turbulence flux observations at tower-based platform reveal modulation mechanism of wind waves on surface wind
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Recently, a study by Associate Prof. Sheng Chen and Prof. Fangli Qiao from the First Institute of Oceanography, Ministry of Natural Resources was published in Science China Earth Sciences. The observational data from a coastal tower-based platform are used to reveal the modulation mechanism of wind waves on wind stress, and it was found that wind wave can increase the wind stress.

The location , photo , and eddy covariance system installation diagram of the Chengbei marine meteorological observation platform . TP and CA in represent the temperature and pressure sensor and mechanical wind speed and direction sensor, respectively. Credit: Science China Press

Recently, a study by Associate Prof. Sheng Chen and Prof. Fangli Qiao from the First Institute of Oceanography, Ministry of Natural Resources was published in. The observational data from a coastal tower-based platform are used to reveal the modulation mechanism of wind waves on wind stress, and it was found that wind wave can increase the wind stress.on wind stress at the air-sea interface has received increasing attention.

Therefore, with the support of Ocean Oil Production Plant, Shengli Oilfield Branch, Sinopec, a high-frequency turbulence observation system was designed and mounted on the tower-based platform in the southern Bohai Sea, and synchronously observed the wind waves and fluxes under the influence of cold air. Further analysis showed that the wind and wave states caused by winds from the northwest and northeast are different, resulting in different wind stress under the influence of cold air.

The gray dashed line and black solid line represent the 1:1 scale line and the fitting line between the modeled and observed results, respectively. Credit: Science China Press Traditionally calculated wind-induced turbulent stress deviates from the observed values, and the degree of deviation depends on

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