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苏南地区高温特征

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常州处于长三角地区中心地带,利用常州1952-2016年最高气温,采用小波分析、功率谱分析以及气候趋势系数、气候倾向率等气候诊断方法,从高温日数、年平均最高气温、年极端最高气温等方面分析了苏南地区近65年高温的气候变化规律和周期性特征等.结果表明:高温日数呈现年代际波动特征,20世纪50-80年代下降,80年代后呈增加趋势;21世纪00年代与20世纪80年代的高温日数存在极显著性差异,与20世纪70年代的高温日数存在显著性差异;平均最高气温经历了升温、降温、缓慢升温、快速升温几个年代际变化阶段,总体呈增强趋势.高温日数年际变化大,最高值与最低值相差48 d.无论是年高温日数、年平均最高气温还是年极端最高气温,气候趋势系数和气候倾向率均大于0.年平均最高气温呈现15a年代际周期变化特征.
Climatic Characteristics of High-Temperature over Southern Jiangsu
Using the climate diagnosis method of wavelet analysis,power spectrum analysis and climate trend coefficient,and climate tendency rate,the climate change law and periodic characteristics of high temperature of the southern Jiangsu Province in 65 years are analyzed from the aspects of the number of high temperature days,annual average maximum temperature,and annual extreme maximum temperature by taking Changzhou as an example.The results show that there are decadal fluctuation characteristics in the number of high-temperature days,a downtrend from 1950s to 1980s,but a rising trend after the 1980's.There was a very significant difference in the number of high temperature days between 2000s and 1980s and significant difference between 2000s and 1970s.The average maximum temperature experienced several decadal change stages,including warming,cooling,slow warming,rapid warming and so on,but the overall trend was warming.The decadal variation of the number of high-temperature days was remarkable;the difference between maximum and minimum was 48.For the number of annual high temperature days,the annual average maximum temperature,and the annual extreme maximum temperature,the climate trend coefficient and climate tendency rate were greater than 0.There was 15-year cycle characteristic in annual average maximum temperature.

high-temperatureclimatic characteristicwavelet analysispower spectrum analysisclimate trend coefficient

雷正翠、吴建秋、蒋薇、黄文彦、刘银峰、汪靖

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江苏省常州市气象局,常州213022

江苏省气象局,南京210008

天津市气象局,天津120000

高温 气候特征 小波分析 功率谱分析 气候趋势系数

江苏省气象科研基金江苏省气象局科研基金中国气象局气象关键技术集成与应用项目江苏省气象科研开放基金常州市科技支撑计划(社会发展)项目

KM201211KM201602CMAGJ2014Z02201206CE20135047

2018

10.19517/j.1671-6345.20170105

气象科技
中国气象科学研究院 北京市气象局 中国气象局大气探测技术中心 国家卫星气象中心 国家气象信息中心

气象科技

CSTPCD
影响因子：1.154
ISSN：1671-6345
年,卷(期)：2018.46(1)
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