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基于均一化资料的中国大陆极端温度的长期趋势

肖冰霜 马玉霞 赵天保 颜书豪

气象2016,Vol.42Issue(3):339-346,8.
气象2016,Vol.42Issue(3):339-346,8.DOI:10.7519/j.issn.1000-0526.2016.3.009

基于均一化资料的中国大陆极端温度的长期趋势

Long-Term Trends in Extreme Temperature over China Mainland Based on Homogenized Dataset

肖冰霜 1马玉霞 1赵天保 2颜书豪3

作者信息

  • 1. 兰州大学大气科学学院,兰州 730000
  • 2. 中国科学院大气物理研究所东亚气候-环境重点实验室,北京 100029
  • 3. 394783 部队61 分队,长兴 313111
  • 折叠

摘要

Abstract

The world has become warmer over the past century,which is associated with the increase of hot days and warm nights,and the reduction of cool days and cold nights.Based on the homogenized daily temperature data from 542 Chinese stations during 1960-2012,this paper calculated the several extreme temperature indicators series,by dividing China into 8 sub-regions,and using percentile method of defining extreme high and low temperature threshold.Meanwhile,using time-trend analysis,we analyzed the spa-tio-temporal distribution and varying tendency features of extreme temperatures and the indices in China. The results show that with the global warming,the increasing trends of the minimum and the maximum temperature are all statistically significant over most regions of China,except in Southwest China,during the last 53 years,of which temperature increases most in Northeast China.The increase of seasonal ex-treme temperature is the most in winter,but the least in summer.Minimum temperature is significantly increased,so is the maximum temperature,but the increasing magnitude of the minimum temperature is higher than that of the maximum counterpart.The frequency of cold days and cold nights show a decrea-sing trend,while the warm nights and warm days has increased.The change of cold night index is most prominent,presenting the phenomenon of regional differences.These results can provide some reference for regional assessment and further researches.

关键词

均一化资料/中国大陆/极端温度/长期趋势

Key words

homogenized data/Chinese mainland/extreme temperature/long-term trend

分类

天文与地球科学

引用本文复制引用

肖冰霜,马玉霞,赵天保,颜书豪..基于均一化资料的中国大陆极端温度的长期趋势[J].气象,2016,42(3):339-346,8.

基金项目

交通安全与健康出行气象保障服务专题-2015、南京信息工程大学气候变化与公共政策研究院开放课题(14QHA013)、中央高校基本业务费专项经费(LZUJBKY-2013-M03)和国家重点基础研究发展计划(973计划)(2012CB955303)共同资助 ()

气象

OA北大核心CSCDCSTPCD

1000-0526

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