热带气象学报2024，Vol.40Issue(6)：966-973,8.DOI:10.16032/j.issn.1004-4965.2024.085
基于多维特征的区域性暴雨过程相似性检索方法研究
Similarity Retrieval Method for Regional Rainstorm Processes Based on Multidimensional Features
摘要
Abstract
For the assessment of regional rainstorm processes,disaster prevention and mitigation efforts,and decision-making services,it is crucial to retrieve historical cases with similar characteristics and compare their meteorological parameters.With a focus on the Beijing-Tianjin-Hebei region,we used daily precipitation data during 1961-2023 from 175 meteorological observation stations in this area,and identified 517 regional rainstorm processes.To measure the similarity of these processes,we proposed a similarity discrimination method for regional rainstorm processes based on multidimensional parameters.The Euclidean distance was used to measure attribute similarity based on parameters such as maximum process precipitation,maximum daily precipitation,influence range,duration,average intensity,and average range.The learned perceptual image patch similarity was used to measure spatial similarity based on the distribution of process precipitation,maximum daily precipitation,and average daily precipitation.The composite similarity score was calculated using a weighted summation of attribute and spatial similarity.The similarity analysis of the rainstorm process in July 2023 reveals that the three most similar rainstorm processes were in August 1963,August 1996,and July 2016,consistent with experts'empirical analyses.Compared with other methods,this method offers the broadest retrieval coverage and reasonable retrieval results,as validated by retrieval coverage rates and the random retrieval of rainstorms across different intensity levels.关键词
多维特征/区域性暴雨/欧式距离/学习感知图像块相似度/相似性检索Key words
multidimensional parameters/regional rainstorm/Euclidean distance/learned perceptual image patch similarity/similarity retrieval分类
天文与地球科学引用本文复制引用
赵亮,魏铁鑫,王丽荣,解文娟..基于多维特征的区域性暴雨过程相似性检索方法研究[J].热带气象学报,2024,40(6):966-973,8.基金项目
河北省自然科学基金(D2024304002) （D2024304002）
河北省科技计划项目(23375401D) （23375401D）
中国气象局水文气象重点开放实验室开放研究课题(23SWQXM007) （23SWQXM007）
河北省高层次人才项目(C20231148)共同资助 （C20231148）
