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Atmospheric circulation characteristics associated with daytime extreme static instability over Athens, Greece

机译:与希腊雅典白天极端静态不稳定性相关的大气环流特征

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The main atmospheric circulation characteristics associated with extreme static instability conditions over the Athens region were examined for the period 1974-2012. The data used consist of daily values of: (1) upper air temperature and dew point, precipitation and cloud cover in Athens and (2) 2.5 degrees x 2.5 degrees 1000 and 500 hPa geopotential heights (GH) and sea level pressure (SLP) over the Mediterranean region, for the period 1974-2012. The stability index K (K-index) was calculated from upper air measurements, and the 5% of the days with the highest K values were selected for both the cold and the warm periods of the year. These days were classified into clusters according to the corresponding GH patterns, using factor analysis and K-means cluster analysis. Results show 9 and 5 clusters for the cold and the warm periods, respectively. The mean 500 hPa GH and SLP patterns were constructed and the cloud cover and precipitation characteristics were investigated for the days classified under each cluster. For the cold period, the main atmospheric circulation factors that are responsible for extreme instability levels are the cyclonic activity in the central Mediterranean, and the warm and humid southeasterly surface flow over Athens; extreme instability is associated with high values of cloud cover, as well as of precipitation amount and frequency of precipitation events. For the warm period, upper air disturbances and the presence of corresponding cold air masses are the main factors leading to extreme instability conditions, while cloud cover and precipitation are relatively lower than during the cold period.
机译:在1974-2012年期间研究了与雅典地区极端静态不稳定状况有关的主要大气环流特征。所使用的数据包括以下各项的每日值:(1)雅典的最高气温和露点,降水和云量;(2)2.5度x 2.5度1000和500 hPa的地势高度(GH)和海平面压力(SLP) 1974年至2012年期间。稳定性指数K(K指数)是根据高空测量值计算得出的,并且在一年的寒冷和温暖时期都选择了K值最高的5%的日子。使用因子分析和K-均值聚类分析,根据相应的GH模式将这些天分为几类。结果显示在寒冷和温暖时期分别有9个和5个群集。构建了平均500 hPa的GH和SLP模式,并研究了在每个群集下分类的天的云量和降水特征。在寒冷时期,造成极端不稳定水平的主要大气环流因素是地中海中部的气旋活动以及雅典上空温暖和东南的地表水流。极端的不稳定性与高的云量,降水量和降水事件的频率有关。在温暖时期,高层空气扰动和相应的冷空气团的存在是导致极端不稳定状况的主要因素,而云量和降水量则比寒冷时期要低。

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