| 近30年江苏地区气候要素相关性变化分析 |
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| 引用本文： | 彭莹辉,杨玲,程勇.近30年江苏地区气候要素相关性变化分析[J].南京气象学院学报,2016,8(4):380-384. |
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| 作者姓名： | 彭莹辉 杨玲 程勇 |
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| 作者单位： | 中国气象局发展研究中心, 北京, 100081;南京信息工程大学 滨江学院, 南京, 210044;南京信息工程大学 信息化建设与管理处, 南京, 210044 |
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| 基金项目： | 国家自然科学基金（61402236）；2015年度中国气象局软科学研究项目；江苏省农业气象重点实验室开放基金（KYQ1309） |
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| 摘 要： | 利用江苏省24个台站的1981-2012年的气温、湿度和降水的月平均观测资料，分别计算了每对台站之间的3个气候要素的结构关系和相关函数，用曲线回归分析了结构函数与台站距离的关系，用线性回归分析了相关函数与台站距离的关系，分析与评估江苏省气象台站网密度.通过分析结果发现，各个气象要素的结构函数和相关函数在江苏整个地区不满足各项同性和均匀性，江苏地区的气象台站网设计要根据气候要素进行分区设计.
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| 关 键 词： | 结构函数 气候要素 相关性 相关函数 |
| 收稿时间： | 2015/6/2 0:00:00 |
Analysis on the correlation of climatic factors in Jiangsu during the past three decades |
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| PENG Yinghui,YANG Ling and CHENG Yong.Analysis on the correlation of climatic factors in Jiangsu during the past three decades[J].Journal of Nanjing Institute of Meteorology,2016,8(4):380-384. |
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| Authors: | PENG Yinghui YANG Ling and CHENG Yong |
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| Institution: | Development and Research Centre, China Meteorological Administration, Beijing 100081;Binjiang College, Nanjing University of Information Science & Technology, Nanjing 210044;Information Construction and Management Office, Nanjing University of Information Science & Technology, Nanjing 210044 |
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| Abstract: | The monthly averaged climate data from 24 meteorological stations in Jiangsu province during 1981-2012,were used to analyze the structural relation and correlational function of meteorological elements including temperature,humidity and precipitation for each pair of meteorological stations.The relationships between structural function and station distance,correlational function and station distance are analyzed by using curvilinear regression and linear regression,respectively,which are then used to calculate and evaluate the meteorological station density in Jiangsu province.The results show that the structural function and correlational function of meteorological elements cannot meet the requirement of optimum interpolation and uniformity,and the meteorological station network should be optimized in accordance with the specific climate in Jiangsu province. |
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| Keywords: | structural function climate elements correlation correlational function |
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