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首页> 外文期刊>Atmospheric research >Interdecadal component variation characteristics in heavy winter snow intensity in North-Eastern China and its response to sea surface temperatures
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Interdecadal component variation characteristics in heavy winter snow intensity in North-Eastern China and its response to sea surface temperatures

机译：东北地区冬季大雪强度年代际分量变化特征及其对海表温度的响应

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摘要

Based on daily precipitation data from 208 weather stations, monthly NCEP/NCAR reanalysis data, and sea surface temperature data reconstructed by NOAA between 1961 and 2012, the heavy winter snow intensity in North-Eastern China was defined; its spatiotemporal variation characteristics were analyzed; the physical mechanisms of the relations between key sea surface temperature (SST) regions and heavy winter snow intensity were studied. Results showed that, in terms of temporal variation characteristics: heavy winter snow intensity in North-Eastern China has been rising, with obvious interdecadal variations during the study interval. In terms of spatial variation characteristics: the first empirical orthogonal function (EOF) mode of the interdecadal component in heavy winter snow intensity showed consistent anomaly characteristics throughout the region; the second mode exhibited opposite variation characteristics between the south and north; and the third mode exhibited opposite variation characteristics between the northwest and southeast. In terms of physical mechanisms underlying the effects of SST on heavy winter snow intensity, the key SST region of the first EOF mode was the Oyashio, the interdecadal component of the autumn Oyashio SST was abnormally high, which corresponded to a higher winter 500 hPa height field in the northern section of the North Pacific. This condition led to a blocking situation and was associated with a weaker East Asian winter monsoon (EAMW), which resulted in a stronger interdecadal component of heavy winter snow intensity and vice versa. The second mode was closely related to the Pacific Decadal Oscillation (PDO): the interdecadal component of the autumn PDO was abnormal, which induced the teleconnection pattern of the winter Pacific-North America (PNA) pattern. The PNA pattern may have been related to the second EOF mode through its association with the Mongolian high. (C) 2016 Elsevier B.V. All rights reserved.
机译：根据208个气象站的日降水量数据，NCEP / NCAR的每月再分析数据以及NOAA在1961年至2012年之间重建的海面温度数据，确定了中国东北地区的冬季大雪强度。分析了其时空变化特征。研究了关键海表温度（SST）区域与冬季大雪强度之间关系的物理机制。结果表明，就时间变化特征而言：东北地区冬季大雪强度呈上升趋势，在研究区间内年代际变化明显。就空间变化特征而言：冬季大雪强度年代际分量的第一个经验正交函数（EOF）模式在整个区域表现出一致的异常特征；第二种模式在南北之间表现出相反的变化特征。第三模式在西北和东南之间表现出相反的变化特征。从深海雪强度对冬季强雪强度影响的物理机制来看，第一个EOF模式的关键海温区域是Oyashio，秋季Oyashio SST的年代际分量异常高，这对应于冬季更高的500 hPa高度北太平洋北部的油田。这种情况导致了阻塞情况，并且与东亚冬季季风（EAMW）较弱有关，导致冬季强雪强度的年代际分量更强，反之亦然。第二种模式与太平洋年代际振荡（PDO）密切相关：秋季PDO的年代际分量异常，这引起了冬季太平洋-北美（PNA）模式的遥相关模式。通过与蒙古高地的关联，PNA模式可能已经与第二EOF模式相关。 （C）2016 Elsevier B.V.保留所有权利。

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  • 来源
    《Atmospheric research》 |2016年第11期|165-177|共13页
  • 作者

    Zhao Chun-Yu; Fang Yi-He; Luo Yong; Wang Ji;

  • 作者单位

    NanjingUniv Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Minist Educ, Key Lab Meteorol Disaster, Nanjing 210044, Jiangsu, Peoples R China|Reg Climate Ctr Shenyang, Shenyang 110016, Peoples R China|Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Jiangsu, Peoples R China;

    NanjingUniv Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Minist Educ, Key Lab Meteorol Disaster, Nanjing 210044, Jiangsu, Peoples R China|Reg Climate Ctr Shenyang, Shenyang 110016, Peoples R China|Nanjing Univ Informat Sci & Technol, Sch Atmospher Sci, Nanjing 210044, Jiangsu, Peoples R China;

    Tsinghua Univ, Ctr Earth Syst Sci, Beijing 100084, Peoples R China;

    Beijing Climate Ctr, Beijing 100089, Peoples R China;

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  • 正文语种 eng
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  • 关键词

    North-Eastern China; Heavy winter snow intensity; Interdecadal component; Oyashio SST; PDO; PNA;

    机译：东北;冬季大雪强度;年代际分量;八潮SST;PDO;PNA;

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