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DOI | 10.1016/j.atmosres.2019.04.015 |
Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection | |
Hu J.; Rosenfeld D.; Zrnic D.; Williams E.; Zhang P.; Snyder J.C.; Ryzhkov A.; Hashimshoni E.; Zhang R.; Weitz R. | |
发表日期 | 2019 |
ISSN | 0169-8095 |
起始页码 | 192 |
结束页码 | 207 |
卷号 | 226 |
英文摘要 | Polarimetric radars make it possible to retrieve information on hydrometeors types, sizes and concentrations. Additional information on cloud electrification can be obtained from Lightning Mapping Arrays (LMAs). To study the development time and height of the hydrometeors and electrification require tracking their evolution within the lifecycle of convective cells. A new methodology for multi-cell identification and tracking (MCIT)is presented in this study. The algorithm in this study is different from traditional tracking methods; this new algorithm is applied to time series of radar volume scans. It tracks local maxima of vertically integrated liquid (VIL)water by identifying the two cells in consecutive radar scans that have maximum common VIL. The vertical profile of the polarimetric variables is used for constructing the time-height cross section of the cells' microphysical properties around the peak reflectivity as a function of height. The LMA sources that occur within the cell area are integrated as a function of height as well for each time step, as determined by the radar volume scans. The result of the tracking can provide insights on the evolution of storms, hydrometer types, precipitation initiation and cloud electrification under different thermodynamic and aerosol conditions. The details of the MCIT algorithm, its products and their performance for different type of storms are described in this paper. © 2019 Elsevier B.V. |
英文关键词 | Cloud microphysics; Cloud tracking; Radar observation |
语种 | 英语 |
scopus关键词 | Atmospheric electricity; Clouds; Cytology; Electric utilities; Lightning; Polarimeters; Precipitation (meteorology); Radar tracking; Storms; Cloud electrification; Cloud microphysics; Cloud tracking; Lightning detection; Lightning mapping array; Microphysical property; Polarimetric variable; Radar observations; Tracking radar; cloud microphysics; lightning; radar; storm; tracking |
来源期刊 | Atmospheric Research
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/162088 |
作者单位 | Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, and NOAA/OAR National Severe Storms Laboratory, Norman, OK, United States; Department of Atmospheric Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel; Department of Atmospheric Sciences, Texas A&M University, College Station, TX, United States; Massachusetts Institute of Technology, Cambridge, MA 02139-4307, United States; NOAA/OAR National Severe Storms Laboratory, Norman, OK, United States |
推荐引用方式 GB/T 7714 | Hu J.,Rosenfeld D.,Zrnic D.,et al. Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection[J],2019,226. |
APA | Hu J..,Rosenfeld D..,Zrnic D..,Williams E..,Zhang P..,...&Weitz R..(2019).Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection.Atmospheric Research,226. |
MLA | Hu J.,et al."Tracking and characterization of convective cells through their maturation into stratiform storm elements using polarimetric radar and lightning detection".Atmospheric Research 226(2019). |
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