Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation

Wang, Jingyu; Dong, Xiquan; Xi, Baike; Heymsfield, Andrew J.

doi:10.1002/2016JD024941

Investigation of liquid cloud microphysical properties of deep convective systems: 1. Parameterization raindrop size distribution and its application for stratiform rain estimation

Journal Article · Tue Sep 20 00:00:00 EDT 2016 · Journal of Geophysical Research: Atmospheres

DOI:https://doi.org/10.1002/2016JD024941· OSTI ID:1402138

Wang, Jingyu ^[1]; Dong, Xiquan ^[1]; Xi, Baike ^[1]; Heymsfield, Andrew J. ^[2]

Department of Atmospheric Sciences University of North Dakota Grand Forks North Dakota USA
National Center for Atmospheric Research Boulder Colorado USA

Abstract

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 μ _Γ and slope λ _Γ parameters are then compared with those derived from surface disdrometer measurements. The similar μ _Γ ‐ λ _Γ relationships but different μ _Γ and λ _Γ 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 Z _e , the terms N _{0 E} and λ _E have been parameterized as a function of Z _e using an empirical N _{0 E} ‐ λ _E 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 ( N _{0 E} ) was assumed, needs to be improved for heavy precipitation cases.

View Accepted Manuscript (Publisher)

Sponsoring Organization:: USDOE

Grant/Contract Number:: SC0008468

OSTI ID:: 1402138

Journal Information:: Journal of Geophysical Research: Atmospheres, Journal Name: Journal of Geophysical Research: Atmospheres Journal Issue: 18 Vol. 121; ISSN 2169-897X

Publisher:: American Geophysical Union (AGU)Copyright Statement

Country of Publication:: United States

Language:: English

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