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Barents Sea Hydrodynamics Change during the El Nino Event

机译:厄尔尼诺事件期间巴伦支海的水动力变化

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On the basis of model calculations, mutually fitted fields were obtained for the key hydrophysical properties in the vicinity of the hydrological sections executed in the Barents Sea during 1997-1998. Integrated analysis of these data allowed us to evaluate the variability of crucial hydrodynamic conditions: the decrease of supply of relatively warm and saline North Atlantic waters with compensatory inflow of Arctic waters; the decrease of total heat content and increase of thermal convection; the weakening of water dynamics in the system of general cyclone circulation; and the abnormally cold winter in 1997-1998 with the increase in the ice covering of the Barents Sea. With a high confidence probability, it was found that considerable deviations from the mean weather conditions took place in response to the El Nino global disturbance of the same period, with the maximum southern oscillation index (SOI) in January-March 1998. The El Nino signal in the baric field of the Arctic basin, noted even in November-December 1997 as a crest of increased pressure, reached its maximum development in April-June 1998 in the form of a well-pronounced atmospheric anticyclone. Recognizing the natural correlation of this phenomenon and the maximum SOI value, one may state that the Barents Sea responds to an El Nino event in about three months. This circumstance should be used as an important parameter for climate forecasting.
机译:在模型计算的基础上,获得了1997-1998年在巴伦支海执行的水文断面附近关键水物理性质的相互拟合场。对这些数据的综合分析使我们能够评估关键的水动力条件的可变性:北大西洋相对温暖和咸的水供应减少,而北极水却有补偿性流入;总热量的减少和热对流的增加;总体旋风循环系统中水动力学的减弱;以及1997-1998年异常寒冷的冬天,巴伦支海的冰盖增加。具有高置信度的概率被发现,由于同期的El Nino全球扰动,平均天气状况发生了很大的偏差,最大的南方振荡指数(SOI)出现在1998年1月至3月。ElNino北极盆地北风场的信号,甚至在1997年11月至12月被认为是压力增加的波峰,在1998年4月至6月以最大声的大气反气旋形式达到了最大发展。认识到这一现象与最大SOI值之间存在自然联系,有人可以说,巴伦支海在大约三个月内对厄尔尼诺事件做出了反应。这种情况应该用作气候预测的重要参数。

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  • 来源
    《Doklady Earth Sciences》 |2009年第9期|1562-1566|共5页
  • 作者单位

    Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;

    Shirshov Institute of Oceanology, Russian Academy of Sciences, Moscow, Russia;

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