聚类在风廓线雷达数据特征分析中的应用  

Application of Clustering in Data Characteristic Analysis of Wind Profiler Radar

作　　者：赵玉娟[1] 王彦 李宗飞[1] 李晓波 郭阳 李祥海[1] 闫文月 ZHAO Yu-Juan;WANG Yan;LI Zong-Fei;LI Xiao-Bo;GUO Yang;LI Xiang-Hai;YAN Wen-Yue(Tianjin Meteorological Information Center,Tianjin 300074,China;Tianjin Weather Modification Office,Tianjin 300074,China;Tianjin Meteorological Observation Center,Tianjin 300061,China)

机构地区：[1]天津市气象信息中心,天津300074 [2]天津市人工影响天气办公室,天津300074 [3]天津市气象探测中心,天津300061

出　　处：《计算机系统应用》2022年第9期389-395,共7页Computer Systems & Applications

基　　金：环渤海区域协同创新基金(QYXM202013,QYXM201908);国家自然科学基金(41675046)。

摘　　要：认识风廓线雷达数据在不同天气条件下的普适性特征对于改善预报服务质量具有重要意义.本文基于数据挖掘中的聚类技术,以天津静海风廓线雷达逐时观测数据为研究对象,构建了风廓线雷达数据特征聚类分析模型,并在此基础上挖掘出了静海风廓线雷达的最大探测高度、最大垂直速度在晴天、多云、降水发生前、降水期间和降水结束后等天气条件下的不同特征,为天气预报服务提供了新参考依据,为风廓线雷达数据特征分析提供了新思路.Understanding the general characteristics of wind profiler radar data under different weather conditions is of great significance for improving the quality of weather forecast service. On the basis of clustering technology in data mining, with the hourly observation data obtained by the wind profiler radar in Jinghai, Tianjin Municipality as the research object, this study builds a cluster analysis model for characteristics of wind profiler radar data. On this basis,different characteristics of the maximum detection height and maximum vertical velocity of the wind profiler radar in Jinghai are mined under weather conditions such as sunny, cloudy, pre-precipitation, precipitation, and post-precipitation.This study provides a new reference for weather forecast service and offers a new idea for the characteristic analysis of wind profiler radar data.

关 键 词：风廓线雷达 聚类 特征研究 数据挖掘 

分 类 号：P415.2[天文地球—大气科学及气象学]