宜宾近60年气温变化特征分析
Analysis on Temperature Change Characteristics in Yibin in the Recent 60 Years
DOI: 10.12677/CCRL.2021.105053, PDF,   
作者: 徐呈祥*:成都信息工程大学大气科学学院,四川 成都;中国民用航空温州空中交通管理站,浙江 温州;肖国杰#, 肖天贵:成都信息工程大学大气科学学院,四川 成都
关键词: 气温宜宾气温变化M-K检验全球变暖Air Temperature Yibin Temperature Change M-K Test Global Warming
摘要: 为了研究全球变暖大背景下宜宾地区的气温变化特征,本文利用宜宾站1960~2019年逐月的平均气温、平均最低气温、平均最高气温资料,用线性趋势法和M-K检验,研究了宜宾近60a气温的变化特征。得到了如下结论:近60a宜宾平均气温为18.0℃,平均最低气温为15.4℃,平均最高气温为21.9℃,气温变化均呈现显著增长的趋势,年平均气温增长率约为0.15℃/10a,年平均最低气温增长率约为0.20℃/10a,年平均最高气温增长率约为0.15℃/10a。宜宾年平均气温的增暖突变是从1998年开始的,突变前后气温增幅为0.7℃;年平均最低气温的增暖突变是从1994年开始的,突变前后气温增幅为0.6℃;年平均最高气温的增暖突变是从2004年开始的,突变前后气温增幅为0.8℃。
Abstract: In order to study the characteristics of temperature change in Yibin region under the background of global warming, the monthly mean temperature, mean minimum temperature, mean maximum temperature data from Yibin station from 1960 to 2019 were used to analyze the various characteristics of temperature in Yibin in recent 60 years by linear trend analysis and M-K test. The results show that the average temperature of Yibin from 1960 to 2019 was 18.0˚C, the average minimum temperature was 15.4˚C, and the average maximum temperature was 21.9˚C, and all the changes in the last 60 years showed a significant growth trend, the annual average temperature growth rate was about 0.15˚C/10a, the annual average minimum temperature growth rate was about 0.20˚C/10a, and the annual average maximum temperature growth rate was about 0.15˚C/10a. The abrupt change of annual mean temperature in Yibin began in 1998, and the temperature increased by 0.7˚C before and after the abrupt change. The abrupt change of annual average minimum temperature began in 1994, and the temperature increased by 0.6˚C before and after the abrupt change. The abrupt change of annual average maximum temperature began in 2004, and the temperature increased by 0.8˚C before and after the abrupt change.
文章引用:徐呈祥, 肖国杰, 肖天贵. 宜宾近60年气温变化特征分析[J]. 气候变化研究快报, 2021, 10(5): 453-459. https://doi.org/10.12677/CCRL.2021.105053

参考文献

[1] PCC AR5 (2013) Intergovernmental Panel on Climate Change Fifth Assessment Report (AR5). Cambridge University Press, London.
[2] Yan, Z., Jones, P., Davies, T.D., et al. (2002) Extreme Temperature Trends in Europe and China Based on Daily Observations. Climatic Change, 53, 355-392. [Google Scholar] [CrossRef
[3] Gong, D.Y., Pan, Y.Z. and Wang, J.A. (2004) Changes in Extreme Daily Mean Temperatures in Summer in Eastern China during 1955-2000. Theoretical & Applied Climatology, 77, 25-37. [Google Scholar] [CrossRef
[4] 段明铿, 李欣, 王盘兴. 中国台站冬夏季气温,降水的气候变化特征及其显著性检验[J]. 大气科学学报, 2020, 43(5): 888-896.
[5] 秦大河. 气候变化科学与人类可持续发展[J]. 地理科学进展, 2014, 33(7): 874-883.
[6] 江志红, 丁裕国. 中国近百年气温场变化成因的统计诊断分析[J]. 应用气象学报, 1997(2): 169-178.
[7] 丁一汇, 戴晓苏. 中国近百年来的温度变化[J]. 气象, 1994, 20(12): 19-26.
[8] 虞海燕, 刘树华, 赵娜, 等. 1951-2009年中国不同区域气温和降水量变化特征[J]. 气象与环境学报, 2011, 27(4): 1-11.
[9] 刘凯, 聂格格, 张森.中国1951-2018年气温和降水的时空演变特征研究[J]. 地球科学进展, 2020, 35(11): 1113-1126.
[10] 陈忠升, 高翊富, 赵仕梅. 1960-2017年成渝经济区气候变化时空特征分析[J]. 西华师范大学学报(自然科学版), 2019, 40(3): 296-303.
[11] 张广松, 胡海洋, 冯浩. 酿酒生产过程气温与工艺参数及两率的关系[J]. 酿酒科技, 2017(7): 77-79.
[12] 黄嘉佑. 气象统计分析与预报方法[M]. 北京: 气象出版社, 1990, 31-48.
[13] 魏凤英. 现代气候统计诊断与预测技术[M]. 北京: 气象出版社, 1999, 69-72.
[14] 秦大河. 气候变化科学与人类可持续发展[J]. 地理科学进展, 2014, 33(7): 874-883.
[15] 赵福燕, 王凌, 陈中钰. 1960-2018年成都市区气温变化特征分析[J]. 成都信息工程大学学报, 2020, 35(5): 579-583.