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中国南方地区1961—2018年冬春季低温连阴雨过程时空变化分析
引用本文:曹磊,李永利,余予,李艳,任芝花.中国南方地区1961—2018年冬春季低温连阴雨过程时空变化分析[J].气象科学,2021,41(1):78-85.
作者姓名:曹磊  李永利  余予  李艳  任芝花
作者单位:国家气象信息中心, 北京 100081;内蒙古自治区气象局气象信息中心, 呼和浩特 010051;中国气象局公共气象服务中心, 北京 100081
基金项目:国家自然科学基金资助项目(91744209);长江电力基金项目(2418020002)
摘    要:基于1961-2018年1 057个地面气象站均一化气温日值数据和通过均一化检验的日降水量资料,统计得到冬春季低温连阴雨过程,分析其时空分布及变化特征。结果表明,湖南、贵州、江西三省为低温连阴雨集中发生地区,连续最长低温连阴雨超过15 d的台站集中在25°~31°N之间的区域。由经验正交函数方法分析表明,南方地区低温连阴雨日数总体上表现为一致偏多或偏少的分布型,且具有东北部与西南部反相变化、东部与西部反相变化的分布型。南方冬春季平均低温连阴雨日数总体呈减少趋势,约为-0.17 d/(10 a)。1960s末期至1990s低温连阴雨日数以偏多为主,从2000年开始以偏少为主。

关 键 词:低温连阴雨  南方地区  时空变化  冬春季节
收稿时间:2019/6/11 0:00:00

Spatial and temporal variations of continuous cold rainy weather during winter and spring seasons over South China from 1961-2018
CAO Lei,LI Yongli,YU Yu,LI Yan,REN Zhihua.Spatial and temporal variations of continuous cold rainy weather during winter and spring seasons over South China from 1961-2018[J].Scientia Meteorologica Sinica,2021,41(1):78-85.
Authors:CAO Lei  LI Yongli  YU Yu  LI Yan  REN Zhihua
Institution:National Meteorological Information Centre, Beijing 100081, China;Inner Mongolia Meteorological Information Center, Hohhot 010051, China;CMA Public Meteorological Service Centre, Beijing 100081, China
Abstract:Based on the homogenized daily temperature data and homogeny checked daily precipitation data from 1 057 national level surface stations during 1961 to 2018, the Continuous Cold Rainy Weather (CCRW) processes in spring and winter were obtained statistically and the spatial and temporal distributions and variations of CCRW days were further analyzed. Results show that the CCRW mainly happen in Hunan, Guizhou and Jiangxi Provinces and the maximum CCRW days larger than 15 days were concentrated between 25°-31°N. The Empirical Orthogonal Function (EOF) decomposition analysis shows that the main anomalous distribution type was above normal (below normal) in whole South China while the other two types shown regional inverted changes patent. The CCRW days over South China was showing a declining trend, which was -0.17 d/(10 a). The CCRW days present an increasing trend from the end of 1960s to 1990s, but presenting a decreasing trend from 2000.
Keywords:CCRW  South China  spatial and temporal variations  winter and spring seasons
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