气象与环境学报2024，Vol.40Issue(4)：54-63,10.DOI:10.3969/j.issn.1673-503X.2024.04.007
2016-2021年5-10月辽宁省降水量时空分布精细化特征分析
Analysis of spatio-temporal characteristics of precipitation in Liaoning province from May to October during 2016-2021
摘要
Abstract
Utilizing hourly high-density precipitation observation data from May to October during 2016-2021 in Liaoning province,this study analyzed the spatio-temporal distribution characteristics of precipitation processes,short-term heavy precipitation events,and extreme short-term heavy precipitation events.The K-means clustering method was applied to classify the spatial distribution of cumulative precipitation hours during short-term heavy precipitation events in the flood season.The results indicated that short-term heavy precipitation events(hourly precipitation≥20 mm)and extreme short-term heavy precipitation events(hourly precipitation≥99.9th percen-tile of historical precipitation at the station)are significantly influenced by topography.High-frequency areas of short-term heavy precipitation are primarily in the southeastern coastal regions of Liaoning province,the coastal plains and areas with higher elevation in western Liaoning province,and the windward slopes in southeastern Lia-oning province.Precipitation during the flood season in Liaoning province is affected by monsoon circulation,ex-hibiting distinct seasonal variations.The maximum average precipitation and precipitation frequency occur in July and August,and mainly concentrate from afternoon to night.Considerable regional differences are found in the fre-quency of short-term heavy precipitation events across Liaoning province,while the regional differences in extreme short-term heavy precipitation events are relatively minor.关键词
累积小时数/K均值聚类/短时强降水/加密自动站Key words
The number of cumulative hours/K-means clustering/Short-term heavy precipitation/High-density au-tomatic weather stations分类
天文与地球科学引用本文复制引用
李萍,陈传雷,陈宇,牛丹,刘硕,聂安祺,张绍勇..2016-2021年5-10月辽宁省降水量时空分布精细化特征分析[J].气象与环境学报,2024,40(4):54-63,10.基金项目
中国气象局流域强降水重点开放实验室项目(2023BHR-Y21)、辽宁省气象局气象科研项目(202403、202301)和中国气象局复盘总结专项(FPZJ2024-027)共同资助. （2023BHR-Y21）
