基于ERA5数据的山东地区大气可降水量时空变化特征分析  

Analysis of temporal and spatial variation of precipitable watervapor over Shandong district based on ERA5 data

作　　者：黄睿婧 王开心 张亭 雷祥旭 冯建迪 HUANG Ruijing;WANG Kaixin;ZHANG Ting;LEI Xiangxu;FENG Jiandi(School of Civil and Architectural Engineering,Shangdong University of Technology,Zibo Shangdong 255000,China;National Astronomical Observatory,Chinese Academy of Sciences,Beijing 101001,China;Key Laboratory of Geospatial Environment and Geodesy,Ministry of Education,Wuhan University,Wuhan Hubei 430000,China)

机构地区：[1]山东理工大学建筑工程学院,山东淄博255000 [2]中国科学院国家天文台,北京100101 [3]武汉大学地球空间环境与大地测量教育部重点实验室,湖北武汉430000

出　　处：《北京测绘》2023年第3期409-414,共6页Beijing Surveying and Mapping

基　　金：武汉大学地球空间环境与大地测量教育部重点实验室开放基金(21-01-02)。

摘　　要：基于欧洲中期天气预报中心(ECMWF)提供的山东地区的大气可降水量(PWV)数据,利用线性拟合、时间序列分析方法和经验正交函数分解等方法,分析了2008—2021年山东地区PWV的时空变化以及变化特征。结果表明:就空间分布而言,山东地区年平均大气可降水量呈现由南到北递减的趋势,南部边界大气可降水量最高;就时间分布而言,2008—2021年,山东地区大气可降水量呈现缓慢增加的趋势;就季节分布而言,夏季大气可降水量为全年最高,其次是春季和秋季,冬季最少;利用经验正交函数分解发现大气可降水量的收敛性较强。Based on the precipitable water vapor(PWV)data over Shandong provided by ECMWF,the spatial and temporal variation was discussed.The methods of empirical orthogonal function(EOF)decomposition,linear fitting,and time series analysis were applied to analyze the temporal and spatial variation characteristics with PWV from 2008 to 2021.The results were as follow.In terms of spatial distribution,the annual average PWV over Shandong showed a decreasing trend from south to north.The highest PWV appeared in the southern border.In terms of temporal variation,the annual average PWV over Shandong showed a slow increasing trend from 2008 to 2021.In terms of seasonal variation,the maximum of PWV was in summer,followed by spring,autumn and winter.Using empirical orthogonal function(EOF)decomposition method,it was found that the convergence of PWV is strong.

关 键 词：再分析数据 欧洲中期天气预报中心 大气可降水量 时空分布 山东地区 

分 类 号：P426[天文地球—大气科学及气象学] P208