Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification
文献类型：期刊论文
| 作者 | Seo, Bong-Chul2; Krajewski, Witold F.2; Qi, Youcun1 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2020-05-15 |
| 卷号 | 236页码:11 |
| ISSN号 | 0169-8095 |
| 关键词 | VIL Weather radar Precipitation Classification Wind farms |
| DOI | 10.1016/j.atmosres.2019.104800 |
| 通讯作者 | Seo, Bong-Chul(bongchul-seo@uiowa.edu) |
| 英文摘要 | This study proposes a new estimation method for vertically integrated liquid water content (VIL) using radar reflectivity volume data and temperature sounding retrieved from the numerical weather model analysis. This method addresses uncertainty factors in conventional VIL estimation associated with the effects from the bright band (BB) and radar beam geometry near the radar site. The new VIL is then used for precipitation classification (convective/stratiform) and wind turbine clutter detection in the hope that the estimated VIL indicating vertical activities or development of precipitation systems will account for the two independent subjects together, in opposite ways. The non-precipitation radar echoes returned from wind turbines do not likely generate significant degree of VIL, compared to the one estimated from actual convective cells, which contain comparable reflectivity strength. We tested the proposed VIL estimation, precipitation classification, and wind turbine clutter detection methods using various Iowa cases and illustrated their successful application. We also performed a quantitative evaluation of precipitation classification using ground reference data from a dense rain gauge network over the Turkey River basin in Iowa. The evaluation results show improved performance for most non-convective event cases estimated by the stratiform estimator (Z = 200R(1.6)) because we applied the convective estimator (Z = 300R(1.4)) to all event cases without classification. In addition, we demonstrated the potential of the new classification to mitigate significant BB effects in quantitative precipitation estimation using a correction method based on the vertical profile of reflectivity. |
| WOS关键词 | WEATHER RADAR ; ALGORITHM ; WSR-88D ; FLOOD ; ATTENUATION ; PRODUCTS |
| 资助项目 | Iowa Flood Center ; Rose & Joseph Summers endowment |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| 出版者 | ELSEVIER SCIENCE INC |
| WOS记录号 | WOS:000525322900025 |
| 资助机构 | Iowa Flood Center ; Rose & Joseph Summers endowment |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/133805]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Seo, Bong-Chul |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Univ Iowa, IIHR Hydrosci & Engn, Iowa City, IA 52242 USA |
| 推荐引用方式 GB/T 7714 | Seo, Bong-Chul,Krajewski, Witold F.,Qi, Youcun. Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification[J]. ATMOSPHERIC RESEARCH,2020,236:11. |
| APA | Seo, Bong-Chul,Krajewski, Witold F.,&Qi, Youcun.(2020).Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification.ATMOSPHERIC RESEARCH,236,11. |
| MLA | Seo, Bong-Chul,et al."Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification".ATMOSPHERIC RESEARCH 236(2020):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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