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基于聚类分析的中国东北地区气温和降水时空变化特征

孙倩倩 刘晶淼

气象与环境学报Issue(3):59-65,7.
气象与环境学报Issue(3):59-65,7.DOI:10.3969/j.issn.1673-503X.2014.03.009

基于聚类分析的中国东北地区气温和降水时空变化特征

Temporal-spatial change of temperature and precipitation based on CAST in northeast China

孙倩倩 1刘晶淼1

作者信息

  • 1. 中国气象科学研究院,北京 100081
  • 折叠

摘要

Abstract

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.

关键词

CAST/平均气温/降水量

Key words

CAST(cluster analysis statistic test)/Mean temperature/Precipitation

分类

天文与地球科学

引用本文复制引用

孙倩倩,刘晶淼..基于聚类分析的中国东北地区气温和降水时空变化特征[J].气象与环境学报,2014,(3):59-65,7.

基金项目

公益性行业(气象)科研专项“东北地区土壤墒情监测预报及其对主要农作物的影响研究”(GYHY201106026)资助。 ()

气象与环境学报

OACSTPCD

1673-503X

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