Improving CINRAD Radar QPE Through GPM-DPR Reflectivity Bias Correction
文献类型：期刊论文
| 作者 | Zhu, Ziwei1,2; Qi, Youcun1,2; Li, Donghuan1,2 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2023-09-01 |
| 卷号 | 59期号:9页码:21 |
| ISSN号 | 0043-1397 |
| 关键词 | radar QPE CINRAD GPM-DPR precipitation reflectivity |
| DOI | 10.1029/2022WR033719 |
| 通讯作者 | Qi, Youcun(youcun.qi@igsnrr.ac.cn) |
| 英文摘要 | Reflectivity bias of ground-based weather radar (GR) is a common error source that can lead to biases in quantitative precipitation estimation (QPE). In this study, the Dual-frequency Precipitation Radar onboard the Global Precipitation Measurement Mission Core Observatory (GPM-DPR) is used to correct GR reflectivity bias. The reflectivity bias correction comprehensively considers variations in GR-DPR reflectivity difference associated with radar frequency difference, data matching approach, precipitation type, GR orographic beam blockage, attenuation, and sample size. The criteria to perform a robust GR-DPR comparison are presented. Disdrometer validation, based on eight typical rain events from April to August 2019, demonstrates that GPM-DPR can effectively reduce GR reflectivity bias to +/- 1 dB. For the period from June to August 2021, the reflectivity correction method is applied to 17 operational GRs. The multiradar QPE shows a significant increase in correlation coefficient (from 0.62 to 0.71), and decreases in relative mean bias (from -0.28 to -0.19) and root mean square error (from 3.96 to 3.54 mm) compared to rain gauges. These results confirm that GPM-DPR can effectively correct the reflectivity biases of a GR network and improve multiradar QPE accuracy and consistency. |
| WOS关键词 | TRMM PRECIPITATION RADAR ; DROP SIZE DISTRIBUTION ; POLARIMETRIC RADAR ; RAINFALL ESTIMATION ; VERTICAL PROFILE ; BEAM BLOCKAGE ; KU-BAND ; CALIBRATION ; DISDROMETER ; VALIDATION |
| 资助项目 | This work was funded by the National Key Research and Development Project (2022YFC3002904), Hainan Key Research and Development Project (ZDYF2023SHFZ125), Anyang Key Research and Development Project (2022A02SF005), and National Natural Science Foundation o[ZDYF2023SHFZ125] ; National Key Research and Development Project[2022A02SF005] ; Hainan Key Research and Development Project[42105031] ; Anyang Key Research and Development Project ; National Natural Science Foundation of China ; [2022YFC3002904] |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| 语种 | 英语 |
| 出版者 | AMER GEOPHYSICAL UNION |
| WOS记录号 | WOS:001059174500001 |
| 资助机构 | This work was funded by the National Key Research and Development Project (2022YFC3002904), Hainan Key Research and Development Project (ZDYF2023SHFZ125), Anyang Key Research and Development Project (2022A02SF005), and National Natural Science Foundation o ; National Key Research and Development Project ; Hainan Key Research and Development Project ; Anyang Key Research and Development Project ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/194716]  |
| 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.Univ Chinese Acad Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, Ziwei,Qi, Youcun,Li, Donghuan. Improving CINRAD Radar QPE Through GPM-DPR Reflectivity Bias Correction[J]. WATER RESOURCES RESEARCH,2023,59(9):21. |
| APA | Zhu, Ziwei,Qi, Youcun,&Li, Donghuan.(2023).Improving CINRAD Radar QPE Through GPM-DPR Reflectivity Bias Correction.WATER RESOURCES RESEARCH,59(9),21. |
| MLA | Zhu, Ziwei,et al."Improving CINRAD Radar QPE Through GPM-DPR Reflectivity Bias Correction".WATER RESOURCES RESEARCH 59.9(2023):21. |
入库方式： OAI收割
来源：地理科学与资源研究所
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