大气与环境光学学报 ›› 2023, Vol. 18 ›› Issue (1): 25-35.

• 大气光学 • 上一篇    下一篇

近40年中国区域对流层顶温度场时空变化特征

唐超礼 1, 朱一东 1*, 魏合理 2, 魏圆圆 3   

  1. 1 安徽理工大学电气与信息工程学院, 安徽 淮南 232001; 2 中国科学院安徽光学精密机械研究所中国科学院大气光学重点实验室, 安徽 合肥 230031; 3 安徽大学互联网学院, 安徽 合肥 230039
  • 收稿日期:2021-09-22 修回日期:2021-11-08 出版日期:2023-01-28 发布日期:2023-02-08
  • 通讯作者: E-mail: zhuyd1010@163.com E-mail:zhuyd1010@163.com
  • 作者简介:唐超礼 (1980- ), 安徽阜阳人, 教授, 博士, 硕士生导师, 主要从事大气数据与信息技术研究。E-mail: chaolitang@163.com
  • 基金资助:
    空间天气学国家重点实验室专项基金资助项目 (201909), 安徽高校自然科学研究重点项目 (KJ2019A0103), 国防基础科研计划项目 (CKY2016204C602), 安徽省重点研究与开发计划项目 (202004i07020011)

Temporal and spatial variation characteristics of tropopause temperature over China in recent 40 years

TANG Chaoli 1, ZHU Yidong 1*, WEI Heli 2, WEI Yuanyuan 3   

  1. 1 School of Electrical & Information Engineering, Anhui University of Science and Technology, Huainan 232001, China; 2 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China; 3 School of Internet, Anhui University, Hefei 230039, China
  • Received:2021-09-22 Revised:2021-11-08 Published:2023-01-28 Online:2023-02-08

摘要: 利用1981—2020 年NCEP/NCAR再分析月平均资料, 对中国区域近40 年的对流层顶温度场进行了时空 变化特征分析和四季变化状况研究。采用线性回归、Mann-Kendall 突变检验分析、经验正交分解 (EOF) 等方法 研究了对流层顶温度场的年际变化趋势和时空分布特征。结果表明: 中国区域对流层顶温度在1981—2020 年 总体呈下降趋势, 其中在1995—2020 年减少趋势显著。对流层顶温度存在明显的季节性特征, 春季和冬季气 候倾向率较小, 对全年对流层顶温度减小趋势贡献也较小; 夏季和秋季气候倾向率较大, 对全年对流层顶温度 减小趋势贡献也较大。运用EOF法对对流层顶温度场空间变化特征分析发现, 第一模态空间分布反映了中国 区域对流层顶变化趋势在空间上基本一致, 且分布由南到北呈现“+, −”的纬向结构; 第二模态空间分布由南到 北呈现“+, −, +, −”的纬向结构, 并以34° N为界呈现出很明显的南北相反分布; 第三模态空间分布由南到北 呈现“+, −, +”的纬向结构。

关键词: 对流层顶, 温度场, Mann-Kendall 突变检验, 经验正交函数分解

Abstract: Based on NCEP/NCAR monthly reanalysis data from 1981 to 2020, the temporal and spatial variation characteristics, as well as the seasonal variations, of tropopause temperature over China in recent 40 years were studied. Linear regression, Mann-Kendall mutation test and empirical orthogonal decomposition (EOF) were used to study the interannual variation trend and spatiotemporal distribution characteristics of tropopause temperature. The results show that the tropopause temperature in China has an overall decreasing trend from 1981 to 2020, with a significant decreasing trend from 1995 to 2020 and a decreasing mutation occurred in 1993. Tropopause temperature in the period also has obvious seasonal characteristics. Both spring and winter climate trend rates are small and contribute little to the annual decreasing trend of tropopause temperature, while the climate trend rates in summer and autumn are larger, and contribute more to the decreasing trend of tropopause temperature in the whole year. The analysis of the spatial variation characteristics of tropopause temperature by EOF method shows that, the spatial distribution of the first mode reflects that the variation trend of tropopause in China is basically consistent in space, and the distribution presents a zonal structure of "+, −" from south to north,while the spatial distribution of the second mode presents a zonal structure of "+, −, +, −" from south to north, with an obvious north-south opposite distribution with 34°N as the boundary, and the spatial distribution of the third mode presents a zonal structure of "+, −, +" from south to north.

Key words: tropopause, temperature, Mann-Kendall matation test, empirical orthogonal function

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