气象与环境学报2025，Vol.41Issue(4)：10-20,11.DOI:10.3969/j.issn.1673-503X.2025.04.002
葫芦岛"8·20"特大暴雨过程中融合降水资料适用性对比评估
Application assessment of merged precipitation data during the"8·20"torrential rainstorm in Huludao
摘要
Abstract
The torrential rainstorm that occurred in the city of Huludao,Liaoning Province,on 20-21 August,2024(referred to as the"8·20"torrential rainstorm)was selected.The applicability of five merged precipitation data-sets(C3SPA_1km,C3SPA_5km,C2SPA_5km,C3SPA_1km_10m,L2SPA_1km_10m)in the extreme rainstorm is compared and evaluated by using hierarchical and non-hierarchical assessment under the conditions of complete and missing observation.The results show that five merged precipitation datasets underestimate the actual cumula-tive precipitation to varying degrees,with the level of short-term heavy precipitation increases,the underestimation of merged precipitation data increases.Among the five datasets,the 3-source 1km data and 3-source 5 km data have the best reconstructing ability under the conditions of complete observation,but their reconstructing ability de-creased more significantly under missing observation condition.The 3-source 1 km data and 3-source 5 km data are significantly better than the 2-source 5 km data,the reconstructing ability of Liaoning 1km data is worse than that of the 3-source datasets,it is significantly better than that of the 2-source 5 km data.The nearest grid point may not always accurately reconstruct precipitation at a station,and there may be a more accurate precipitation value within 2 to 3 grids distances from the station.It is suggested that hourly merged precipitation product should be developed to improve assessments and reduce underestimation in observation blind areas.关键词
葫芦岛/特大暴雨/降水融合/对比评估Key words
Huludao/Torrential rainstorm/Merged precipitation/Comparative assessment分类
天文与地球科学引用本文复制引用
XIAO Guangliang,CAI Kuizhi,WANG Ying,JI Yongming,LIU Jingnan,CHENG Pan,ZHU Xianlong,JI Ximeng..葫芦岛"8·20"特大暴雨过程中融合降水资料适用性对比评估[J].气象与环境学报,2025,41(4):10-20,11.基金项目
辽宁省科技厅自然科学基金面上项目(2025-MSLH-376)、中国气象局沈阳大气环境研究所联合开放基金(2022SYIAEKFMS02)、中国气象局预报员专项(CMAYBY2019-08)和辽宁省科学技术计划项目(2024-MSLH-237)共同资助. （2025-MSLH-376）
