Barents Sea hydrodynamics change during the El Niño event
Barents Sea hydrodynamics change during the El Niño event
复制标题
厄尔尼诺事件期间巴伦支海的水动力变化
DOI：
10.1134/s1028334x09090311
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发表时间：
2009
影响因子：
0.9
通讯作者：
A. D. Shcherbinin
中科院分区：
文献类型：
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作者：
A. Sidorova;A. D. Shcherbinin
在模型计算的基础上，获得了1997-1998年期间在巴伦支海执行的水文断面附近的关键水文物理特性的相互拟合场。综合分析这些资料，我们可以评估关键的水动力条件的变化：相对温暖和咸的北大西洋沃茨的供应减少，北极沃茨的补偿流入，总热含量的减少和热对流的增加，一般气旋环流系统中的水动力减弱，1997-1998年冬季异常寒冷，巴伦支海冰盖增加。在很高的置信概率下，发现由于同一时期的厄尔尼诺全球扰动，与平均天气状况有相当大的偏差，1998年1月至3月南方涛动指数最大。在北极盆地气压场中的厄尔尼诺信号甚至在1997年11月至12月作为压力增加的峰值出现，在1998年4月至6月以明显的大气反气旋形式达到最大发展。认识到这一现象与最大SOI值的自然相关性，人们可以说，巴伦支海在大约三个月内对厄尔尼诺事件作出反应。这种情况应作为气候预测的一个重要参数。
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 Niño global disturbance of the same period, with the maximum southern oscillation index (SOI) in January–March 1998. The El Niño 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 Niño event in about three months. This circumstance should be used as an important parameter for climate forecasting.