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A Real-Time Algorithm to Identify Convective Precipitation Adjacent to or within the Bright Band in the Radar Scan Domain

文献类型：期刊论文

作者Zhang, Zhe1,5; Qi, Youcun1,5; Li, Donghuan1,5; Zhu, Ziwei1,5; Yang, Meilin4; Wang, Nan3; Yang, Yin2; Hu, Qiyuan3
刊名JOURNAL OF HYDROMETEOROLOGY
出版日期2021-05-01
卷号22期号:5页码:1139-1151
关键词Algorithms Radars Radar observations Remote sensing Precipitation
ISSN号1525-755X
DOI10.1175/JHM-D-20-0005.1
通讯作者Qi, Youcun(youcun.qi@igsnrr.ac.cn)
英文摘要Hydrological hazards usually occur after heavy precipitation, especially during strong convection. Therefore, accurately identifying convective precipitation is very helpful for hydrological warning and forecasting. However, separating the convective, bright band (BB), and stratiform precipitation is found to be challenging when the convection is adjacent to or within the BB region. A new convection/BB/stratiform precipitation segregation algorithm is proposed in this study to resolve this challenging issue. This algorithm is applicable for a single radar volume scan data in native (polar) coordinates and consists of four processes: 1) check the freezing (0 degrees C) level to roughly assess whether convection is occurring or not; 2) identify the convective cores through analyzing composite reflectivity (maximum reflectivity for a given range gate among all the sweeps), vertically integrated liquid water (VIL), VIL horizontal gradient, and reflectivity at the levels of 0 degrees, -10 degrees, and above -10 degrees C; 3) delineate the whole convective region through the seeded region growing method by taking account of the microphysical differences between the BB and convective regions; and 4) delineate BB features in the stratiform region. The proposed algorithm utilizes the physical characteristics of different precipitation types for precisely segregating the convective, BB, and stratiform precipitation. This algorithm has been tested with radar data of different precipitation events and evaluated with three months of rain gauge data. The results show that the proposed algorithm performs consistently well for challenging precipitation events with the convection adjacent to or within a strong BB. Furthermore, the proposed algorithm could be used to improve the vertical profile of reflectivity (VPR) correction and reduce the overestimation of rainfall in the BB precipitation region.
WOS关键词ECHO CLASSIFICATION
资助项目National Key Research and Development Project[2018YFC1507505] ; National Key Research and Development Project[2018YFC1505803] ; National Key Research and Development Project[2016YFC0400902] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA2006040101] ; Hundred Talent Program
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000651501500005
出版者AMER METEOROLOGICAL SOC
资助机构National Key Research and Development Project ; Strategic Priority Research Program of Chinese Academy of Sciences ; Hundred Talent Program
源URL[http://ir.igsnrr.ac.cn/handle/311030/162854]  
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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
2.Natl Meteorol Ctr, Beijing, Peoples R China
3.Shaanxi Meteorol Bur, Xian, Shaanxi, Peoples R China
4.China Meteorol Adm, Inst Urban Meteorol, Beijing, Peoples R China
5.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Zhe,Qi, Youcun,Li, Donghuan,et al. A Real-Time Algorithm to Identify Convective Precipitation Adjacent to or within the Bright Band in the Radar Scan Domain[J]. JOURNAL OF HYDROMETEOROLOGY,2021,22(5):1139-1151.
APA Zhang, Zhe.,Qi, Youcun.,Li, Donghuan.,Zhu, Ziwei.,Yang, Meilin.,...&Hu, Qiyuan.(2021).A Real-Time Algorithm to Identify Convective Precipitation Adjacent to or within the Bright Band in the Radar Scan Domain.JOURNAL OF HYDROMETEOROLOGY,22(5),1139-1151.
MLA Zhang, Zhe,et al."A Real-Time Algorithm to Identify Convective Precipitation Adjacent to or within the Bright Band in the Radar Scan Domain".JOURNAL OF HYDROMETEOROLOGY 22.5(2021):1139-1151.

入库方式： OAI收割

来源：地理科学与资源研究所

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