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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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 |
work_keys_str_mv |
AT merhalathurai measurementsandmodelingofthefullraindropsizedistribution AT viswanathanbringi measurementsandmodelingofthefullraindropsizedistribution AT patrickngatlin measurementsandmodelingofthefullraindropsizedistribution AT walterapetersen measurementsandmodelingofthefullraindropsizedistribution AT matthewtwingo measurementsandmodelingofthefullraindropsizedistribution |
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