我国南方地区初秋气温的年际变化特征及影响因子分析
Interannual Variation Characteristics and Impact Factors of Early Autumn Temperature in Southern China
杜欣恒 1楼俊伟 1王智楷 2张云惠 3张鑫4
作者信息
- 1. 武义县气象局,浙江 武义 321200
- 2. 四川省防雷中心,四川 成都 610072
- 3. 新疆气象台,新疆 乌鲁木齐 830002
- 4. 莫索湾气象站,新疆 石河子 832000
- 折叠
摘要
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.
Abstract
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.
关键词
气温/年际变化/大气环流/海洋异常Key words
temperature/interannual variation/atmospheric circulation/ocean anomaly引用本文复制引用
基金项目
金华市气象局青年科技项目(2023QN04)
新疆维吾尔自治区重点研发任务专项(2022B01012-1)
新疆维吾尔自治区重点研发任务专项(2022B03027-1)
出版年
2024
国家科技期刊平台
NSTL
万方数据