北亚极端低温的年际-年代际变率及其驱动机制

IF 2.8 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Ya Gao, Dong Chen, Tao Wang
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引用次数: 0

摘要

为了研究北亚冬季极端低温的时空特征及其影响,本文利用极端寒冷日数指数(TX10p)进行了研究。北亚地区极端寒冷日数的第一经验正交函数(EOF)模态以贝加尔湖为中心呈现出一致的分布,主要表现为年际变率。它受两个关键因素的影响:前一个秋季的积雪和冬季的北极涛动(AO),由陆地-大气调制。具体来说,前期的秋季积雪可以通过调节经向温度梯度和西风强度来影响中高纬槽脊的强度,从而影响寒潮。同时,冬季AO可以通过调节极涡的强度来调节极冷空气南下,最终影响北亚地区极端寒冷日的发生频率。北亚极寒日的第二次EOF模态表现为以贝加尔湖为界的东北-西南偶极子分布,主要表现为年代际转换。从时间上看,2000年以前东北偏冷,西南偏冷,后期则相反。在空间上,2000年前后空间分布也有相应的年代际变化。偶极子模式的东北-西南边界由前期约50°N向后期约60°N偏移,反映了西南地区的扩张。第二模态的年代际变化特征主要受太平洋年代际涛动(PDO)和大西洋多年代际涛动(AMO)的联合作用调制。在AMO和PDO相的协同变化下,太平洋和大西洋的海表温度会影响极涡的强度,从而影响中高纬地区的南北梯度,以及西风带和槽脊的强度,最终有利于或不利于冷空气的南下运动。此外,PDO相位的变化影响了阿留申低压的强度和位置,从而改变了东亚槽,导致EOF2模态空间格局的南北偏移。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Interannual-Interdecadal Variability of Extreme Low Temperature in North Asia and Its Driving Mechanisms

Interannual-Interdecadal Variability of Extreme Low Temperature in North Asia and Its Driving Mechanisms

Interannual-Interdecadal Variability of Extreme Low Temperature in North Asia and Its Driving Mechanisms

Interannual-Interdecadal Variability of Extreme Low Temperature in North Asia and Its Driving Mechanisms

Interannual-Interdecadal Variability of Extreme Low Temperature in North Asia and Its Driving Mechanisms

To investigate the spatio-temporal characteristics and its impact of winter extreme low temperature in North Asia, the extreme cold days index (TX10p) is used in this study. The first empirical orthogonal function (EOF) mode of extreme cold days in North Asia exhibits a consistent distribution centered on Lake Baikal, primarily showing interannual variability. It is influenced by two key factors: snow cover in the previous autumn and the Arctic Oscillation (AO) in the wintertime, modulated by the land-atmosphere. Specifically, the previous autumn snow cover can affect the strength of mid-high latitude troughs and ridges by adjusting the meridional temperature gradient and the strength of the westerly wind, thereby influencing cold waves. Meanwhile, the winter AO can modulate the southward movement of polar cold air by adjusting the strength of the polar vortex, ultimately impacting the frequency of extreme cold days in North Asia. The second EOF mode of the extreme cold days in North Asia displays a northeast–southwest dipole distribution bounded by Lake Baikal, mainly showing an interdecadal transition. Temporally, before 2000, the pattern featured more cold days in the northeast and less in the southwest, with the opposite trend in the later period. Spatially, the spatial distribution also has a corresponding interdecadal change around 2000. The northeast–southwest boundary of the dipole pattern shifted from around 50° N in the early period to approximately 60° N in the later period, reflecting an expansion of the southwest region. The interdecadal change characteristics of the second mode are mainly modulated by the combined effects of the Pacific Decadal Oscillation (PDO) and the Atlantic Multidecadal Oscillation (AMO). Under the synergistic changes of the AMO and PDO phases, the sea surface temperatures of the Pacific and Atlantic can influence the strength of the polar vortex, thereby affecting the north–south gradient in the mid to high latitudes, and the strengths of westerlies and troughs and ridges, ultimately being conducive or not conducive to the southward movement of cold air. In addition, shifts in the PDO phase impact the strength and position of the Aleutian Low, which alters the East Asian trough and contributes to the north–south displacement of the EOF2 mode's spatial pattern.

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来源期刊
International Journal of Climatology
International Journal of Climatology 地学-气象与大气科学
CiteScore
7.50
自引率
7.70%
发文量
417
审稿时长
4 months
期刊介绍: The International Journal of Climatology aims to span the well established but rapidly growing field of climatology, through the publication of research papers, short communications, major reviews of progress and reviews of new books and reports in the area of climate science. The Journal’s main role is to stimulate and report research in climatology, from the expansive fields of the atmospheric, biophysical, engineering and social sciences. Coverage includes: Climate system science; Local to global scale climate observations and modelling; Seasonal to interannual climate prediction; Climatic variability and climate change; Synoptic, dynamic and urban climatology, hydroclimatology, human bioclimatology, ecoclimatology, dendroclimatology, palaeoclimatology, marine climatology and atmosphere-ocean interactions; Application of climatological knowledge to environmental assessment and management and economic production; Climate and society interactions
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