| 1959—2009年甘肃极端温度时空变化及其与AO相关分析 |
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| 引用本文： | 肖玮钰,王连喜,薛红喜,吴东丽,李琪.1959—2009年甘肃极端温度时空变化及其与AO相关分析[J].气象科学,2013,33(2):190-195. |
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| 作者姓名： | 肖玮钰 王连喜 薛红喜 吴东丽 李琪 |
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| 作者单位： | 1. 南京信息工程大学江苏省大气环境监测与污染控制高技术研究重点实验室,南京210044;南京信息工程大学环境科学与工程学院,南京210044;中国气象局兰州干旱气象研究所,兰州730020
2. 中国气象局兰州干旱气象研究所,兰州730020;中国气象局气象探测中心,北京100081 |
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| 基金项目： | 中国气象局干旱气象科学研究基金项目(IAM200919) |
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| 摘 要： | 利用1959-2009年甘肃省24个台站的逐日最高和最低气温资料,运用百分位法定义了不同台站的逐年最高温度的极端高值、最低温度的极端低值.研究了甘肃省51 a来极端温度的时间变化特征；运用多元线性回归及空间插值法分析了其空间变化特征,并运用Pearson系数分析了极端温度与北极涛动(AO)相关关系.结果表明,甘肃省51 a最高温度的极端高值时间变化特征总体呈增加趋势,陇东及陇南地区增温显著；最低温度的极端低值显著增加的地区则为甘肃中部及西南部地区.最高温度的极端高值大值区地域集中在河西走廊西部地区,小值区在祁连山区及甘南高原；最低温度的极端低值大值区集中在陇东及陇南地区,小值区则在河西走廊的祁连山区.甘肃地区最低温度的极端低值与AO的相关关系要比最高温度的极端高值更为显著.
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| 关 键 词： | 最高温度的极端高值 最低温度的极端低值 时空变化 北极涛动 |
| 收稿时间： | 2011/9/21 0:00:00 |
| 修稿时间： | 2012/4/12 0:00:00 |
The temporal and spatial change of extreme temperature and its association with AO index in Gansu province from 1959 to 2009 |
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| XIAO Weiyu,WANG Lianxi,XUE Hongxi,WU Dongli and LI Qi.The temporal and spatial change of extreme temperature and its association with AO index in Gansu province from 1959 to 2009[J].Scientia Meteorologica Sinica,2013,33(2):190-195. |
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| Authors: | XIAO Weiyu WANG Lianxi XUE Hongxi WU Dongli and LI Qi |
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| Institution: | Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;Meteorological Observation Centre of China Meteorological Administration, Beijing 100081, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China;Meteorological Observation Centre of China Meteorological Administration, Beijing 100081, China;Jiangsu Key Laboratory of Atmospheric Environmental Monitoring and Pollution Control, Nanjing University of Information Science & Technology, Nanjing 210044, China;School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;Institute of Arid Meteorology, China Meteorological Administration, Lanzhou 730020, China |
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| Abstract: | Based on the daily maximal and minimal temperature data from 1959 to 2009 at 24 meteorological stations in Gansu province, the extremely high value of the maximal temperature and extremely low value of the minimal temperature of different stations were defined by percentile method, so as to study the temporal change of extreme temperature in Gansu province from 1959 to 2009. The spatial change of extreme temperature was researched by using the multiple linear regression method and the spatial interpolation method, and the Pearson coefficients were applied to analyze the relationship between the extreme temperature and the AO index. The results suggested that the variation characteristics of the extremely high value of the maximal temperature showed an increasing trend during 51 a in Gansu province. There had a significant increase for extremely high value of the maximal temperature in the east and the south Gansu area, as well as a significant increase for extremely low value of the minimal temperature showed in the centre and southwest of Gansu province. The values of the extremely high value of the maximal temperature were centralized in the Gansu Corridor, while the small ones were in the Qilian Mountains and Gannan plateau; the great values of the extremely low value of the minimal temperature were concentrated in the east and south Gansu area, but the small ones were in the Qilian Mountains of Gansu Corridor. The correlation between extremely low value of the minimal temperature and the AO index is more significant than that between extremely high value of the maximal temperature and the AO index. |
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| Keywords: | Extremely high value of the maximal temperature Extremely low value of the minimal temperature Temporal and spatial change AO |
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