气候变化领域集成服务门户(CCPortal): Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation

CCPortal

DOI	10.5194/hess-23-4153-2019
	Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation
	Ma Y.; Ni G.; Chandra C.V.; Tian F.; Chen H.
发表日期	2019
ISSN	1027-5606
起始页码	4153
结束页码	4170
卷号	23 期号:10
英文摘要	Raindrop size distribution (DSD) information is fundamental in understanding the precipitation microphysics and quantitative precipitation estimation, especially in complex terrain or urban environments which are known for complicated rainfall mechanism and high spatial and temporal variability. In this study, the DSD characteristics of rainy seasons in the Beijing urban area are extensively investigated using 5-year DSD observations from a Parsivel2 disdrometer located at Tsinghua University. The results show that the DSD samples with rain rate <1mmh.-1 account for more than half of total observations. The mean values of the normalized intercept parameter (log10Nw) and the massweighted mean diameter (Dm) of convective rain are higher than that of stratiform rain, and there is a clear boundary between the two types of rain in terms of the scattergram of log10Nw versus Dm. The convective rain in Beijing is neither continental nor maritime, owing to the particular location and local topography. As the rainfall intensity increases, the DSD spectra become higher and wider, but they still have peaks around diameter D ∼ 0:5 mm. The midsize drops contribute most towards accumulated rainwater. The Dm and log10Nw values exhibit a diurnal cycle and an annual cycle. In addition, at the stage characterized by an abrupt rise of urban heat island (UHI) intensity as well as the stage of strong UHI intensity during the day, DSD shows higher Dm values and lower log10Nw values. The localized radar reflectivity (Z) and rain rate (R) relations (Z = aRb) show substantial differences compared to the commonly used NEXRAD relationships, and the polarimetric radar algorithms R(Kdp), R(Kdp, ZDR), and R(ZH, ZDR) show greater potential for rainfall estimation. © 2019 Author(s).
语种	英语
scopus关键词	Drops; Radar; Rain gages; Size distribution; Topography; Intercept parameters; Precipitation microphysics; Quantitative precipitation estimation; Radar reflectivities; Raindrop size distribution; Rainfall estimations; Spatial and temporal variability; Statistical characteristics; Rain; complex terrain; diameter; heat island; NEXRAD; precipitation intensity; radar altimetry; raindrop; remote sensing; size distribution; urban area; Beijing [China]; China
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159808
作者单位	Ma, Y., State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Ni, G., State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Chandra, C.V., Colorado State University, Fort Collins, CO 80523, United States; Tian, F., State Key Laboratory of Hydro-Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing, 100084, China; Chen, H., Colorado State University, Fort Collins, CO 80523, United States, NOAA/Earth System Research Laboratory, Boulder, CO 80305, United States
推荐引用方式 GB/T 7714	Ma Y.,Ni G.,Chandra C.V.,et al. Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation[J],2019,23(10).
APA	Ma Y.,Ni G.,Chandra C.V.,Tian F.,&Chen H..(2019).Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation.Hydrology and Earth System Sciences,23(10).
MLA	Ma Y.,et al."Statistical characteristics of raindrop size distribution during rainy seasons in the Beijing urban area and implications for radar rainfall estimation".Hydrology and Earth System Sciences 23.10(2019).