Improving Radar QPE for Convective Precipitation Through Vertical Profile of KDP Correction Based on GPM-DPR 3D DSD Retrievals
文献类型：期刊论文
| 作者 | Zhu, Ziwei1,2; Qi, Youcun1,2 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2026-03-02 |
| 卷号 | 131期号:5页码:e2025JD045655 |
| 关键词 | QPE dual-polarization radar KDP convective precipitation vertical variation of precipitation |
| ISSN号 | 2169-897X |
| DOI | 10.1029/2025JD045655 |
| 产权排序 | 1 |
| 文献子类 | Article |
| 英文摘要 | Vertical variation of convective precipitation causes significant errors in ground-based radar quantitative precipitation estimation (QPE). To address this issue, we analyze 11 years (2014-2024) of vertical profiles of equivalent S-band specific differential phase (K-DP) and reflectivity (Z). K(DP )is calculated from drop size distribution (DSD) parameters, while Z is converted from Ku-band measurements from the global precipitation measurement mission dual-frequency precipitation radar (GPM-DPR), for consistency with operational S-band radar measurements. A climatological vertical profile of K-DP (VPSDP) correction model is developed, incorporating precipitation intensity, environmental freezing level height, and sensor geometry differences. The model correction performance for K-DP-based QPE is evaluated using 25 convective precipitation events over eastern China in 2021, with comparison to the established vertical profile of reflectivity (VPR) correction model for K-DP -based QPE. Results show that the VPR correction improves K-DP-based QPE more substantially than the VPSDP correction improves K-DP-based QPE, due to the greater inherent vertical variation error in . Before correction, both K-DP- and Z-based QPE data show systematic underestimation, with relative mean bias (RMB) values of -0.29 and -0.33, respectively. After correction, RMB values improves to -0.17 for both methods. The VPR correction decreases relative mean absolute error (RMAE) from 0.47 to 0.41 and root mean square error (RMSE) from 11.29 to 9.89 mm, while the VPSDP correction reduces RMAE from 0.44 to 0.39 and RMSE from 10.57 to 9.39 mm. Overall, VPSDP-corrected QPE demonstrates higher accuracy than VPR-corrected QPE, with the performance advantage increasing at higher rainfall intensity. |
| URL标识 | 查看原文 |
| WOS关键词 | REAL-TIME ALGORITHM ; RAINFALL ESTIMATION ; BRIGHT BAND ; PART I ; MATRIX ; ERRORS |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001704681600001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221318]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 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. Improving Radar QPE for Convective Precipitation Through Vertical Profile of KDP Correction Based on GPM-DPR 3D DSD Retrievals[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2026,131(5):e2025JD045655. |
| APA | Zhu, Ziwei,&Qi, Youcun.(2026).Improving Radar QPE for Convective Precipitation Through Vertical Profile of KDP Correction Based on GPM-DPR 3D DSD Retrievals.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,131(5),e2025JD045655. |
| MLA | Zhu, Ziwei,et al."Improving Radar QPE for Convective Precipitation Through Vertical Profile of KDP Correction Based on GPM-DPR 3D DSD Retrievals".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 131.5(2026):e2025JD045655. |
入库方式： OAI收割
来源：地理科学与资源研究所
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