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近60年尚志市极端气温变化规律
引用本文:柳海晶,李想,金爱芬,李春景.近60年尚志市极端气温变化规律[J].延边大学农学学报,2014(2):130-135.
作者姓名:柳海晶  李想  金爱芬  李春景
作者单位:延边大学理学院,吉林延吉133002
基金项目:国家教育部留学回国项目(教外司留(2009)1341号)
摘    要:选用世界气象组织(WMO)提供的6种极端气温指数对尚志市1953 201 2年近60年来逐日最高气温、最低气温资料数据进行计算和分析,得出了尚志市近60年来的极端气温变化规律.结果表明:近60年来,尚志市暖日和暖夜显著增多,分别以1.9 d/10a和3.7 d/10a的速度增加;冷日和冷夜显著减少,分别以1.9 d/10a和3.9 d/10a速度减少;年极端最高和最低气温分别以0.2 C/10a和0.6 C/10a速度显著升高;年极端低温升高趋势高于年极端高温,即夜间增暖幅度高于白天增暖幅度,夜间气温上升对增暖贡献更大.尚志市与黑龙江省极端气温比较发现,极端气温变化趋势一致,但增加和减少速度明显低于黑龙江省.

关 键 词:尚志市  极端气温  趋势分析法

Variation of extreme temperature during the last 60 years in Shangzhi City
LIU Haijing,LI Xiang,JIN Aifen,LI Chunjing.Variation of extreme temperature during the last 60 years in Shangzhi City[J].Journal of Agricultural Science Yanbian University,2014(2):130-135.
Authors:LIU Haijing  LI Xiang  JIN Aifen  LI Chunjing
Institution:(Geography Department, Sciences College of Yanbian University, Yanji Jilin 133002,China)
Abstract:This paper selects 6 kinds of extreme temperature index which were provided by WMO to calculate and analysis daily maximum temperature, minimum temperature data of Shangzhi City for nearly 60 years during 1953--2012. The extreme temperature variation was obtained about Shangzhi City nearly 60 years. The results showed that warm days and warm nights of Shangzhi City significantly increased, 1. 9d/10a and 3. 7d/10a in recent 60 years were increased in speed; cold days and cold nights were significantly decreased, respectively by 1.9d/10a and 3.9d/10a decreased; the annual extreme maximum and minimum temperatures were 0. 2 ℃/lOa and 0. 6 ℃/lOa speed significantly; annual extreme low temperature increased higher than the annual extreme high temperature, which is that the nighttime warming rises faster than the daytime warmer night temperatures does, and does more contribution to warming . The extreme temperature in Heilongjiang Province compared with Shangzhi City, the conclusion is that the extreme temperature change has the same tendency, but the increase and decrease of the speed in Shangzhi City is obviously lower than that of Heilongjiang province.
Keywords:Shangzhi City  extreme temperature  trend analysis approach
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