Measurements and Modeling of the Full Rain Drop Size Distribution

The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) and in numerical modeling of microphysical processes. Conventional disdrometers cannot capture the small drop end, in particular the drizzle mode which controls collisional processes as well as evapor...

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Main Authors: Merhala Thurai, Viswanathan Bringi, Patrick N. Gatlin, Walter A. Petersen, Matthew T. Wingo
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Atmosphere
Subjects:
Online Access:http://www.mdpi.com/2073-4433/10/1/39
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spelling doaj-ba4f91c9653c4e10ac124e333b0cfe792020-11-25T01:16:07ZengMDPI AGAtmosphere2073-44332019-01-011013910.3390/atmos10010039atmos10010039Measurements and Modeling of the Full Rain Drop Size DistributionMerhala Thurai0Viswanathan Bringi1Patrick N. Gatlin2Walter A. Petersen3Matthew T. Wingo4Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USADepartment of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USANASA Marshall Space Flight Center, Huntsville, AL 35808, USANASA Marshall Space Flight Center, Huntsville, AL 35808, USANASA Marshall Space Flight Center, Huntsville, AL 35808, USAThe raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) and in numerical modeling of microphysical processes. Conventional disdrometers cannot capture the small drop end, in particular the drizzle mode which controls collisional processes as well as evaporation. To overcome this limitation, the DSD measurements were made using (i) a high-resolution (50 microns) meteorological particle spectrometer to capture the small drop end, and (ii) a 2D video disdrometer for larger drops. Measurements were made in two climatically different regions, namely Greeley, Colorado, and Huntsville, Alabama. To model the DSDs, a formulation based on (a) double-moment normalization and (b) the generalized gamma (GG) model to describe the generic shape with two shape parameters was used. A total of 4550 three-minute DSDs were used to assess the size-resolved fidelity of this model by direct comparison with the measurements demonstrating the suitability of the GG distribution. The shape stability of the normalized DSD was demonstrated across different rain types and intensities. Finally, for a tropical storm case, the co-variabilities of the two main DSD parameters (normalized intercept and mass-weighted mean diameter) were compared with those derived from the dual-frequency precipitation radar onboard the global precipitation mission satellite.http://www.mdpi.com/2073-4433/10/1/39microphysicsprecipitationdrop-size distributiongeneralized gamma model
collection DOAJ
language English
format Article
sources DOAJ
author Merhala Thurai
Viswanathan Bringi
Patrick N. Gatlin
Walter A. Petersen
Matthew T. Wingo
spellingShingle Merhala Thurai
Viswanathan Bringi
Patrick N. Gatlin
Walter A. Petersen
Matthew T. Wingo
Measurements and Modeling of the Full Rain Drop Size Distribution
Atmosphere
microphysics
precipitation
drop-size distribution
generalized gamma model
author_facet Merhala Thurai
Viswanathan Bringi
Patrick N. Gatlin
Walter A. Petersen
Matthew T. Wingo
author_sort Merhala Thurai
title Measurements and Modeling of the Full Rain Drop Size Distribution
title_short Measurements and Modeling of the Full Rain Drop Size Distribution
title_full Measurements and Modeling of the Full Rain Drop Size Distribution
title_fullStr Measurements and Modeling of the Full Rain Drop Size Distribution
title_full_unstemmed Measurements and Modeling of the Full Rain Drop Size Distribution
title_sort measurements and modeling of the full rain drop size distribution
publisher MDPI AG
series Atmosphere
issn 2073-4433
publishDate 2019-01-01
description The raindrop size distribution (DSD) is fundamental for quantitative precipitation estimation (QPE) and in numerical modeling of microphysical processes. Conventional disdrometers cannot capture the small drop end, in particular the drizzle mode which controls collisional processes as well as evaporation. To overcome this limitation, the DSD measurements were made using (i) a high-resolution (50 microns) meteorological particle spectrometer to capture the small drop end, and (ii) a 2D video disdrometer for larger drops. Measurements were made in two climatically different regions, namely Greeley, Colorado, and Huntsville, Alabama. To model the DSDs, a formulation based on (a) double-moment normalization and (b) the generalized gamma (GG) model to describe the generic shape with two shape parameters was used. A total of 4550 three-minute DSDs were used to assess the size-resolved fidelity of this model by direct comparison with the measurements demonstrating the suitability of the GG distribution. The shape stability of the normalized DSD was demonstrated across different rain types and intensities. Finally, for a tropical storm case, the co-variabilities of the two main DSD parameters (normalized intercept and mass-weighted mean diameter) were compared with those derived from the dual-frequency precipitation radar onboard the global precipitation mission satellite.
topic microphysics
precipitation
drop-size distribution
generalized gamma model
url http://www.mdpi.com/2073-4433/10/1/39
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AT patrickngatlin measurementsandmodelingofthefullraindropsizedistribution
AT walterapetersen measurementsandmodelingofthefullraindropsizedistribution
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