首页|基于聚类分析的中国东北地区气温和降水时空变化特征

基于聚类分析的中国东北地区气温和降水时空变化特征

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利用1961-2010年中国东北地区81个代表站逐日气温和降水资料,采用旋转主分量分析(REOF)和聚类分析(CAST)相结合的方法,对东北地区年平均气温和年降水量的时空变化特征进行了分析。结果表明:中国东北地区年平均气温呈显著的增加趋势,但区域性较为明显,北部和东部地区的升温幅度较小,西部和南部升温幅度较大;年降水量呈减少的趋势,西部地区降水减少的趋势较为显著。
Temporal-spatial change of temperature and precipitation based on CAST in northeast China
Based on the daily temperature and precipitation data from 81 weather stations during 1961-2010 in the northeast China,the spatial-temporal variations of mean annual temperature and precipitation were analyzed using methods of a rotated principal component analysis(REOF)and a cluster analysis statistic test(CAST).The results show that the warming trend is significant in the northeast China,and the trend differs significantly in the different areas.The ascending trend of temperature is more obvious in the north and east regions than in the west and south regions.On the contrary,the annual precipitation is in a decreasing trend,especially in the western region of north-east China.

CAST(cluster analysis statistic test)Mean temperaturePrecipitation

孙倩倩、刘晶淼

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中国气象科学研究院,北京 100081

中国气象局沈阳大气环境研究所,辽宁 沈阳 110166

CAST 平均气温 降水量

公益性行业(气象)科研专项

GYHY201106026

2014

气象与环境学报
中国气象局沈阳大气环境研究所

气象与环境学报

CSTPCD
影响因子:1.433
ISSN:1673-503X
年,卷(期):2014.(3)
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