中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Spatial Variability of Raindrop Size Distribution at Beijing City Scale and Its Implications for Polarimetric Radar QPE

文献类型:期刊论文

作者Zhang, Zhe1; Li, Huiqi2; Li, Donghuan3; Qi, Youcun3
刊名REMOTE SENSING
出版日期2023-08-01
卷号15期号:16页码:19
关键词raindrop size distribution (DSD) polarimetric radar quantitative precipitation estimation (QPE)
DOI10.3390/rs15163964
通讯作者Qi, Youcun(youcun.qi@igsnrr.ac.cn)
英文摘要Understanding the characteristics of the raindrop size distribution (DSD) is crucial to improve our knowledge of the microphysical processes of precipitation and to improve the accuracy of radar quantitative precipitation estimation (QPE). In this study, the spatial variability of DSD in different regions of Beijing and its influence on radar QPE are analyzed using 11 disdrometers. The DSD data are categorized into three regions: Urban, suburban, and mountainous according to their locations. The DSD exhibits evidently different characteristics in the urban, suburban, and mountain regions of Beijing. The average raindrop diameter is smaller in the urban region compared to the suburban region. The average rain rate and raindrop number concentration are lower in the mountainous region compared to both urban and suburban regions. The difference in DSD between urban and suburban regions is due to the difference in DSD for the same precipitation types, while the difference in DSD between mountain and plains (i.e., urban and suburban regions) is the combined effect of the convection/stratiform ratio and the difference of DSD for the same precipitation types. Three DSD-based polarimetric radar QPE estimators were retrieved and estimated. Among these three QPE estimators, R(Z(H)), R(K-dp), and R(K-dp, Z(DR)), R(K-dp, Z(DR)) performs best, followed by R(K-dp), and R(Z(H)) performs worst. R(K-dp) is more sensitive to the representative parameters, while R(Z(H)) and R(K-dp, Z(DR)) are more sensitive to observational error and systematic bias (i.e., calibration).
WOS关键词STATISTICAL CHARACTERISTICS ; VIDEO DISDROMETER ; MICROPHYSICS PARAMETERIZATION ; RAINFALL ESTIMATION ; AEROSOL IMPACTS ; SQUALL LINE ; URBAN AREA ; PART I ; PRECIPITATION ; URBANIZATION
资助项目The authors would like to thank the editors and the reviewers for their thorough comments, which really helped improve the manuscript.
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001056291400001
出版者MDPI
资助机构The authors would like to thank the editors and the reviewers for their thorough comments, which really helped improve the manuscript.
源URL[http://ir.igsnrr.ac.cn/handle/311030/196679]  
专题中国科学院地理科学与资源研究所
通讯作者Qi, Youcun
作者单位1.Shenzhen Natl Climate Observ, Shenzhen 518040, Peoples R China
2.China Meteorol Adm, Tornado Key Lab, Guangzhou Inst Trop & Marine Meteorol, Guangzhou 510640, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Zhe,Li, Huiqi,Li, Donghuan,et al. Spatial Variability of Raindrop Size Distribution at Beijing City Scale and Its Implications for Polarimetric Radar QPE[J]. REMOTE SENSING,2023,15(16):19.
APA Zhang, Zhe,Li, Huiqi,Li, Donghuan,&Qi, Youcun.(2023).Spatial Variability of Raindrop Size Distribution at Beijing City Scale and Its Implications for Polarimetric Radar QPE.REMOTE SENSING,15(16),19.
MLA Zhang, Zhe,et al."Spatial Variability of Raindrop Size Distribution at Beijing City Scale and Its Implications for Polarimetric Radar QPE".REMOTE SENSING 15.16(2023):19.

入库方式: OAI收割

来源:地理科学与资源研究所

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