Relationship of the brightness temperature anomalies of the lower troposphere with the climate indices on the Southern Urals

D. Y. Vasil'ev, N. V. Velikanov, V. V. Vodopyanov, N. Krasnogorskaya, V. Semenov, O. Christodulo
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Abstract

This paper presents an analysis of the average monthly temperature of the lower troposphere (TLT) according to satellite sensing data for the period 1979–2017 in the Southern Urals. In order to study the space-time structure of TLT, the method of decomposition of the temperature series into empirical orthogonal components (EOC) was used. A correlation analysis of the link between the identified EOC for winter and summer seasons and indices of large-scale modes of natural climate variability in the Northern hemisphere was carried out. The first leading EOC, which describes a negative temperature trend, makes the major contribution to the overall variability. For winter, the leading mode is associated with the North Atlantic oscillation. For summer, a significant contribution of the Atlantic multi-decadal oscillation and the index of the Arctic sea ice concentration anomalies is revealed, which can be used to improve the reliability of the future scenarios of the regional climate change. The results suggest a significant impact of natural climatic variability on the temperature regime and a possible difficulty in identifying the anthropogenic component of climate change in the studied region.
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南乌拉尔地区对流层低层亮温异常与气候指数的关系
利用1979-2017年卫星遥感资料,对乌拉尔南部对流层低层(TLT)月平均温度进行了分析。为了研究TLT的时空结构,采用了将温度序列分解为经验正交分量(EOC)的方法。对所确定的冬、夏两季EOC与北半球自然气候变率大尺度模态指数之间的联系进行了相关分析。第一个领先的EOC描述了负温度趋势,对整体变率做出了主要贡献。冬季,主导模态与北大西洋涛动有关。在夏季,大西洋多年代际振荡和北极海冰浓度异常指数的显著贡献,可用于提高未来区域气候变化情景的可靠性。结果表明,自然气候变率对温度状况有显著影响,在研究区域确定气候变化的人为成分可能存在困难。
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