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New Possibilities In The Study Of Coastal Upwellings In The Southeastern Baltic Sea With Using Thermistor Chain

机译:用热敏电阻链研究东南波罗的海沿海升降机的新可能性

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The article gives an analysis of a unique data of the thermistor chain, whichinstalled on the D-6 oil platform in the coastal zone of the Baltic Sea. In total 10 temperaturesensors were installed at different depths with a recording interval of 1 min, the depth atthe installation site was 29 m. Based on satellite data, ship measurements and thermistorchain observation the characteristics and dynamics of the sharp decrease in watertemperature which registered in the south-eastern Baltic Sea (Gdansk Bay area), duringJune 5-12, 2016 are analyzed. The temperature decreasing caused by the simultaneousaction of at least two factors: wind-driven Ekman upwelling and advection of cold water.Scales of temporal and spatial variability of water temperature in a coastal zone of thesouth-eastern Baltic Sea near the coast of the Kaliningrad region are described. This eventled to the considerable SST (sea surface temperature) drop by more than 8 °C for twodays. The rate of reduction of its temperature during certain upwelling periods can reach0.3-0.4 oС per hour, but the maximum warming rate between phases varies from 0.25 to0.28 oС per hour. This dramatically changed the conditions of the thermal balance of thesea surface. The width of the upwelling, as seen in the SST data, was about 25 km. Satellitedata were supplemented with data of a thermistor chain and CTD measurements. Thehigh correlation between water temperature variability and changes in wind parameters:when the wind speed has decreased and its direction has changed, the response of thevertical thermal structure has occurred very quickly, sometimes within 1 hour. Thermistorchain data allow to evaluate the vertical temperature distribution and get more detailedanalysis of temporal variability and short pulsations of upwelling.
机译:本文对热敏电阻链的独特数据进行了分析,在波罗的海沿海区的D-6油平台上安装了一个独特的热敏电阻链。总共10个温度,在不同深度的不同深度上安装了1分钟,安装现场的深度为29米。基于卫星数据,船舶测​​量和热敏性观察,分析了在2016年5月5日至12日期5-12期间登录的水龙粉急剧下降的特点和动态。至少有两个因素的同时引起的温度降低:风力驱动的ekman升值和平流的冷水。在加里宁格勒地区海岸附近沿海地区沿海地区水温的时间和空间变异性的平流描述了。这对于Twodays来说,这意味着相当于超过8°C的SST(海面温度)下降。在某些上涨期间,其温度的降低速度可以每小时达到0.3-0.4oс,但​​相位之间的最大变暖率从0.25〜0.28oÑ每小时变化。这显着改变了睾丸表面的热平衡的条件。如SST数据所示,升值的宽度约为25公里。 Satellitedata补充了热敏电阻链和CTD测量的数据。水温变异性与风参数变化之间的相关性:当风速减少时,其方向改变,速度热结构的响应非常快,有时在1小时内。热敏电阻数据允许评估垂直温度分布并获得更加详细的时间变异性和升值的短脉动。

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