首页|我国南方地区初秋气温的年际变化特征及影响因子分析

我国南方地区初秋气温的年际变化特征及影响因子分析

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利用1979-2021年NCEP2.5°×2.5°、MOHC1°×1°海洋等资料,通过经验正交函数(EOF)分解、合成分析和相关分析等方法,分析我国南方地区初秋气温的年际变化特征及其相关的大气和海洋异常.结果表明:(1)我国南方地区初秋气温主要表现为一致变化空间型和经向偶极变化型2种模态.(2)一致变化空间型主要受到高纬度西伯利亚高压和东亚大槽以及中低纬度地区的副热带高压和近地面风的共同影响,经向偶极变化型主要受到我国东北地区与长江下游流域对流层位势高度反位相变化的影响.(3)一致变化空间型与前期冬季我国邻近海域以及赤道印度洋和东太平洋地区海温异常、鄂霍茨克海和拉布拉多海海冰异常有关,经向偶极变化型则与前期冬季赤道中东太平洋的海温异常、鄂霍茨克海和巴伦支海海冰异常有关.
Interannual Variation Characteristics and Impact Factors of Early Autumn Temperature in Southern China
Based on the atmospheric and oceanic data from 1979 to 2021,the interannual variation characteristics and the related atmospheric and oceanic anomalies of early autumn temperature in southern China were analyzed by Empirical Orthogonal Function(EOF)decomposition,composite analysis and correlation analysis.The results showed that:(1)The temperature in early autumn over southern China exhibits two leading spatial patterns:the spatially uniform pattern and the meridional dipole pattern.(2)The spatially uniform pattern is influenced by the Siberian cold high or the East Asian trough in high latitudes,and subtropical high or near-surface wind in mid-lower latitudes,while the meridional dipole anomaly pattern is affected by the antiphase change of tropospheric geopotential height in northeast China and the lower reaches of Yangtze River in China.(3)The spatially uniform anomaly pattern is related to the Sea Surface Temperatures(SST)anomalies of the adjacent seas of China,the Equatorial Indian Ocean and the Eastern Pacific Ocean,and the sea ice anomalies of the Sea of Okhotsk and Labrador,while the meridional dipole pattern is related to the SST anomalies of the equatorial southern Pacific Ocean and the sea ice anomalies of the Sea of Okhotsk and Barents in the preceding winter.

temperatureinterannual variationatmospheric circulationocean anomaly

杜欣恒、楼俊伟、王智楷、张云惠、张鑫

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武义县气象局,浙江 武义 321200

四川省防雷中心,四川 成都 610072

新疆气象台,新疆 乌鲁木齐 830002

莫索湾气象站,新疆 石河子 832000

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气温 年际变化 大气环流 海洋异常

金华市气象局青年科技项目新疆维吾尔自治区重点研发任务专项新疆维吾尔自治区重点研发任务专项

2023QN042022B01012-12022B03027-1

2024

沙漠与绿洲气象
新疆维吾尔自治区气象学会 中国气象局乌鲁木齐沙漠气象研究所

沙漠与绿洲气象

CSTPCD
影响因子:1.007
ISSN:1002-0799
年,卷(期):2024.18(3)