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基于Himawari-8静止卫星多通道资料的重庆地区短时强降水反演研究
投稿时间:2023-08-08  修订日期:2023-08-29  点此下载全文
引用本文:王远谋,胡春梅,王志毅.基于Himawari-8静止卫星多通道资料的重庆地区短时强降水反演研究[J].红外,2024,45(1):43~52
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作者单位E-mail
王远谋 中国气象局气候资源经济转化重点开放实验室重庆市气象服务中心 njuwym9327@163.com 
胡春梅* 中国气象局气候资源经济转化重点开放实验室重庆市气象台 505287201@qq.com 
王志毅 中国气象局气候资源经济转化重点开放实验室重庆市气象台  
基金项目:中国气象局复盘总结专项项目(FPZJ2023-107)
中文摘要:收集了2021年重庆地区8次区域性暴雨天气过程中地面降水强度大于等于20 mm/h的数据,匹配了相应时间空间范围的Himawari-8静止气象卫星多通道资料,建立了降水强度与辐射特征一一对应的数据集。在此基础上采用单位特征空间归类分析法,选择0.64 μm、1.6 μm、3.9 μm、6.2 μm、7.3 μm、10.4 μm等多个通道组成二维光谱空间,反演了强降水像素点的分布范围和集群特征,并基于反演结果开展了重庆地区短时强降水识别研究。提出了一种基于卫星多通道资料的强降水落区阈值判识方案,并利用该方案对2021~2022年重庆地区的16个强对流天气个例进行了检验。结果表明,该方案能够实现全天24 h、逐10 min的强降水落区连续动态监测,整点及整点前10 min、前30 min的卫星资料对降水落区的反演准确率达到70%~80%。
中文关键词:Himawari-8卫星  短时强降水  卫星反演
 
Research on Short-Term Strong Precipitation Retrieval in Chongqing Based on Multi-Channel Data of Himawari-8
Abstract:In this paper, the data of surface precipitation intensity of not less than 20 mm/h during eight regional heavy rains in Chongqing in 2021 are collected, and the multi-channel data of the Himawari-8 geostationary meteorological satellite in the corresponding time and space are matched to establish the one-to-one correspondence dataset between precipitation intensity and radiation features. On this basis, by using unit feature space classification analysis, multiple channels such as 0.64 μm, 1.6 μm, 3.9 μm, 6.2 μm, 7.3 μm and 10.4 μm are selected to form two-dimensional spectral space, and the distribution range as well as cluster characteristics of heavy precipitation pixels are retrieved. Based on the inversion results, the short-time heavy precipitation identification research in Chongqing is carried out. A threshold identification scheme of heavy precipitation areas based on satellite multi-channel data is also proposed in this paper. This scheme is used to test 16 cases of severe convective weather in Chongqing from 2021 to 2022. The results show that the scheme can realize the continuous dynamic monitoring of the heavy precipitation area 24 hours a day, 10 minutes by 10 minutes. The accuracy of the inversion of the precipitation area by the satellite data at the whole point, 10 minutes before the whole point and 30 minutes before the whole point can reach 70%-80%.
keywords:Himawari-8 satellite  short-term strong precipitation  satellite inversio
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