A Real-Time Bright Band Vertical Profile of Reflectivity Correction Using Multitilts of Reflectivity Data
文献类型：期刊论文
| 作者 | Zhu, Ziwei1,2,3; Qi, Youcun2,3 |
| 刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 61页码:12 |
| 关键词 | Bright band (BB) vertical profile of reflectivity (VPR) correction weather radar |
| ISSN号 | 0196-2892 |
| DOI | 10.1109/TGRS.2023.3319836 |
| 通讯作者 | Qi, Youcun(youcun.qi@igsnrr.ac.cn) |
| 英文摘要 | Bright band (BB) is a layer of enhanced radar reflectivity because of hydrometeor melt and coalescence, which could cause a significant overestimation of radar quantitative precipitation estimation (QPE). Overestimation of QPE due to BB contamination may lead to false flood alarms. Vertical profile of reflectivity (VPR) correction is an effective means to reduce the overestimation of radar QPE caused by BB contamination. This study presents an improved BB apparent VPR correction algorithm (named IAVPR) using radar multitilts of reflectivity observations. The reflectivity observations in the same vertical layer are averaged, and the beam broadening effect is reduced. This optimization helps to correctly identify the BB top from the IAVPR, which further improves the BB bottom identification according to the symmetry of the BB vertical structure. The IAVPR algorithm improves upon an old AVPR algorithm that constructs a range profile of azimuthally averaged reflectivity observations in the BB-affected area (BBA) for each tilt and then applies the correction to the specific tilt based on the AVPR. The performance of the AVPR algorithm can be greatly affected by the spatial pattern of precipitation or terrain, where the IAVPR algorithm can consistently correct for BB contamination. A comprehensive evaluation is conducted using 13 precipitation events observed by six of China's operational radars in different regions. The result shows that the IAVPR algorithm is more effective and robust for BB correction compared to the AVPR algorithm. |
| 资助项目 | National Key Research and Development Project[2022YFC3002904] ; Hainan Key Research and Development Project[ZDYF2023SHFZ125] ; Anyang Key Research and Development Project[2022A02SF005] ; National Natural Science Foundation of China[42105031] ; Fujian Key Laboratory of Severe Weather[2021KFKT01] |
| WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001105169300018 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Project ; Hainan Key Research and Development Project ; Anyang Key Research and Development Project ; National Natural Science Foundation of China ; Fujian Key Laboratory of Severe Weather |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203226]  |
| 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.Fujian Key Lab Severe Weather, Fuzhou 350007, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, 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 | Zhu, Ziwei,Qi, Youcun. A Real-Time Bright Band Vertical Profile of Reflectivity Correction Using Multitilts of Reflectivity Data[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:12. |
| APA | Zhu, Ziwei,&Qi, Youcun.(2023).A Real-Time Bright Band Vertical Profile of Reflectivity Correction Using Multitilts of Reflectivity Data.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,12. |
| MLA | Zhu, Ziwei,et al."A Real-Time Bright Band Vertical Profile of Reflectivity Correction Using Multitilts of Reflectivity Data".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):12. |
入库方式： OAI收割
来源：地理科学与资源研究所
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