DOI: 10.1002/2016JD024941
论文题名: Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation
作者: Wang J. ; Dong X. ; Xi B. ; Heymsfield A.J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 18 起始页码: 10739
结束页码: 10760
语种: 英语
英文关键词: convective
; DSD
; in situ
; parameterization
; precipitation
; stratiform
Scopus关键词: cloud microphysics
; convective system
; in situ measurement
; NEXRAD
; parameterization
; precipitation assessment
; probe
; raindrop
; reflectivity
; size distribution
; stratiform cloud
; North Dakota
; United States
英文摘要: To investigate liquid-phase (T > 3°C) cloud and precipitation microphysical properties within Deep Convective Systems (DCSs), eight DCS cases sampled by the University of North Dakota Citation II research aircraft during Midlatitude Continental Convective Clouds Experiment were selected. A full spectrum of raindrop size distribution (DSD) was constructed from 120 µm to 4000 µm through a combination of two-dimensional cloud probe (120 to 900 µm) and High Volume Precipitation Spectrometer (900 to 4000 µm) data sets. A total of 1126 five second DSDs have been used to fit to Gamma and Exponential functions within the stratiform rain (SR) regions of DCSs. The Gamma shape μΓ and slope λΓ parameters are then compared with those derived from surface disdrometer measurements. The similar μΓ-λΓ relationships but different μΓ and λΓ value ranges from two independent platforms at different elevations may represent the real nature of DSD shape information in clouds and at the surface. To apply the exponentially fitted DSD parameters to precipitation estimation using Next Generation Weather Radar (NEXRAD) radar reflectivity factor Ze, the terms N0E and λE have been parameterized as a function of Ze using an empirical N0E-λE relationship. The averaged SR rain rate retrieved from this study is almost identical to the surface measurements, while the NEXRAD Q2 precipitation is twice as large. The comparisons indicate that the new DSD parameterization scheme is robust, while the Q2 SR precipitation estimation based on Marshall-Palmer Z-R relationship, where a constant DSD intercept parameter (N0E) was assumed, needs to be improved for heavy precipitation cases. ©2016. American Geophysical Union. All Rights Reserved. 资助项目: DE- SC0008468
; NA15NWS4680004
; NNX13AH73G
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62830
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, United States; National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Wang J.,Dong X.,Xi B.,et al. Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(18)