首页 | 杂志简介 | 征稿简则 | 投稿指南 | 常见问题 | 名词解释 | 刊物订阅 | 联系我们 | English
KNN不同距离度量对风四AGRI红外亮温反演降水影响研究
投稿时间:2020-03-30  修订日期:2020-04-11  点此下载全文
引用本文:王根,陆雅君,王悦,吴瑞姣,丁从慧.KNN不同距离度量对风四AGRI红外亮温反演降水影响研究[J].红外,2020,41(6):33~40
摘要点击次数: 54
全文下载次数: 44
作者单位E-mail
王根 中亚大气科学研究中心
安徽省气象台 
203wanggen@163.com 
陆雅君 安徽省气象台 强天气集合分析和预报重点实验室  
王悦 安徽省气象台 强天气集合分析和预报重点实验室  
吴瑞姣 安徽省气象台 强天气集合分析和预报重点实验室  
丁从慧 安徽省气象台 强天气集合分析和预报重点实验室  
基金项目:中亚大气科学研究基金项目(CAAS202003);国家自然科学基金项目(41805080);上海台风研究基金(TFJJ201909) ;安徽省气象局项目(KM201902)
中文摘要:静止卫星高时空分辨率对高影响灾害性天气的监测和预报有显著优势。开展了风云四号A星多通道扫描成像辐射计(Advanced Geosynchronous Radiation Imager,AGRI)红外光谱亮温反演台风降水研究。探讨了正则化反问题方法中K-最邻近(K-nearest neighbor,KNN)不同距离度量对降水反演精度影响。降水反演共分两步:一是降水视场点识别,主要基于训练字典样本利用KNN识别待反演亮温“降水”和“非降水”信号;二是降水视场点反演。即在判识视场点有降水基础上采用正则化反问题进行红外亮温反演降水。KNN距离度量分别采用欧氏、标准化欧氏、马氏和布洛克距离。以台风“安比(2018)”为例开展降水反演试验。结果表明,反演结果与GPM相似度较高,且不同距离度量在反演“极端降水”各有优势。
中文关键词:FY4A/AGRI  台风安比  降水反演  距离度量  正则化反问题
 
Implication of different distance measurement of KNN on precipitation retrieval by AGRI infrared spectral data of Feng-Yun 4A
Abstract:Geostationary satellite with high spatial-temporal resolution has significant advantages in monitoring and forecasting high impact disastrous weather. In this paper, a study of the Advanced Geosynchronous Radiation Imager (AGRI) data from Feng-Yun 4A on typhoon precipitation was conducted. The implication of different measurement distance of k-nearest neighbor (KNN) in the inverse problem of regularization method on the accuracy of precipitation retrieval is discussed. Precipitation retrieval is divided into two steps: (1) precipitation field of view(FOV) identification, which uses KNN to identify the “precipitation” and “non-precipitation” signals of brightness temperature to be retrieved based on the training dictionary samples; (2) precipitation FOV retrieval, which uses inverse problem of regularization method to retrieve the infrared brightness temperature precipitation on the basis of identifying the precipitation FOV. KNN distance measures based on Euclidean, normalized Euclidean, Mahalanobis and Cityblock, respectively. The precipitation retrieval experiment was carried out with typhoon “Ampil (2018)”, and the results show that the retrieval result has a high similarity with GPM, and different distance measures have their own advantages in retrieval of “extreme precipitation”.
keywords:FY4A/AGRI  typhoon Ampil  precipitation retrieval  distance measurement  inverse problem of regularization
查看全文  HTML  查看/发表评论  下载PDF阅读器

版权所有:《红外》编辑部

北京勤云科技发展有限公司