1. 安阳师范学院资源环境与旅游学院
2. 新疆乌鲁木齐市气象局
纸质出版:2019
移动端阅览
[1]张志高,苗运玲,邱双娟,等.1951—2016年新疆哈密极端气温变化研究[J],2019,36(01):89-97.
[1]张志高,苗运玲,邱双娟,等.1951—2016年新疆哈密极端气温变化研究[J],2019,36(01):89-97. DOI: 10.13568/j.cnki.651094.2019.01.013.
DOI:10.13568/j.cnki.651094.2019.01.013.
基于哈密国家基准气象站1951—2016年逐日最高温、最低温和平均气温等资料
运用线性回归、趋势分析、Mann—Kendall检验和主成分分析等方法对哈密极端气温变化特征进行了分析.结果表明:66年来哈密市气温暖化趋势明显
年均最高温增温速率快于年均最低温
增温速率分别为年均温(0.15?C/10a)
Based on the climatic data of daily average
maximum and minimum temperature observed by the China Meteorological Administration at meteorological station in Hami during 1951—2016
the methods of linear regression
trend analysis
Mann-Kendall test and principal component analysis were employed to analyze the characteristics of extreme temperature in Hami from 1951 to 2016. The results show that: in general
the trend of temperature warming in Hami was obvious in the past 66 years
with generally stronger increases in average annual maximum temperature than in average annual minimum temperature
as for climate inclination rate was average temperature(0.15?C/10 a) < lowest temperature(0.16?C/10 a) < highest temperature(0.28?C/10 a) respectively. The occurrence of warm days
warm nights
summer days
warm spell duration days and growing season length all showed a significant increasing trend
and the number of hot nights showed an upward trend after 1996.The average annual diurnal temperature range increased at a rate of 0.11?C/10 a.While the frequency of cold days
cold nights
frost days
ice days and cold spell duration days was found to have a significantly downward trend. The extreme low value of the maximum temperature and the extreme low value of the minimum temperature showed an upward trend
the extreme high value of the maximum temperature and the extreme high value of the minimum temperature showed a downward trend.The Mann-Kendall test showed that the extreme temperature index in Hami changed abruptly in the1950 s and early 1960 s. The principal component analysis classified the extreme temperature index in Hami into four categories.The correlation analysis showed that there was a positive correlation between the warm indices and between the cold indices
and a significant negative correlation between the warm indices and the cold indices.
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