气候变化领域集成服务门户(CCPortal): Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification

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DOI	10.1016/j.atmosres.2019.104800
	Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification
	Seo B.-C.; Krajewski W.F.; Qi Y.
发表日期	2020
ISSN	0169-8095
卷号	236
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 = 200R1.6) because we applied the convective estimator (Z = 300R1.4) 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. © 2019 Elsevier B.V.
英文关键词	Classification; Precipitation; VIL; Weather radar; Wind farms
学科领域	Classification (of information); Clutter (information theory); Meteorological radar; Numerical methods; Precipitation (chemical); Quality control; Rain gages; Reflection; Wind power; Wind turbines; Liquid water content; Numerical weather model; Precipitation systems; Quantitative evaluation; Quantitative precipitation estimation; Temperature soundings; Vertical profile of reflectivities; Wind farm; Rain; classification; estimation method; numerical model; precipitation (climatology); quality control; radar; rainfall; reflectivity; vertical profile; water content; wind farm; Iowa; United States
语种	英语
scopus关键词	Classification (of information); Clutter (information theory); Meteorological radar; Numerical methods; Precipitation (chemical); Quality control; Rain gages; Reflection; Wind power; Wind turbines; Liquid water content; Numerical weather model; Precipitation systems; Quantitative evaluation; Quantitative precipitation estimation; Temperature soundings; Vertical profile of reflectivities; Wind farm; Rain; classification; estimation method; numerical model; precipitation (climatology); quality control; radar; rainfall; reflectivity; vertical profile; water content; wind farm; Iowa; United States
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120489
作者单位	IIHR—Hydroscience & Engineering, The University of Iowa, Iowa City, IA 52242, United States; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Seo B.-C.,Krajewski W.F.,Qi Y.. Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification[J],2020,236.
APA	Seo B.-C.,Krajewski W.F.,&Qi Y..(2020).Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification.Atmospheric Research,236.
MLA	Seo B.-C.,et al."Utility of Vertically Integrated Liquid Water Content for Radar-Rainfall Estimation: Quality Control and Precipitation Type Classification".Atmospheric Research 236(2020).