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contributor authorKorolev, Alexei
contributor authorIsaac, George A.
date accessioned2017-06-09T17:22:44Z
date available2017-06-09T17:22:44Z
date copyright2005/05/01
date issued2005
identifier issn0739-0572
identifier otherams-84104.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4227404
description abstractThe data on cloud particle sizes and concentrations collected with the help of aircraft imaging probes [optical array probes OAP-2DC, OAP-2DP, and the High Volume Precipitation Spectrometer (HVPS)] are widely used for cloud parameterization and validation of remote sensing. The goal of the present work is to study the effect of shattering of ice particles during sampling. The shattering of ice particles may occur due to 1) mechanical impact with the probe arms prior to their entering the sample volume, and 2) fragmentation due to interaction with turbulence and wind shear generated by the probe housing. The effect of shattering is characterized by the shattering efficiency that is equal to the ratio of counts of disintegrated particles, to all counts. The shattering efficiency depends on the habit, size, and density of ice particles, probe inlet design, and airspeed. For the case of aggregates, the shattering efficiency may reach 10% or even more. The shattering of ice particles results in an overcounting of small particles and an undercounting of large ones. The number of fragments in the images of shattered particles may reach several hundreds. It was found that particles as small as 600 ?m may shatter after impact with the probe arms. The effect of particle shattering should be taken into account during data analysis and carefully considered in future designs of airborne cloud particle size spectrometers.
publisherAmerican Meteorological Society
titleShattering during Sampling by OAPs and HVPS. Part I: Snow Particles
typeJournal Paper
journal volume22
journal issue5
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH1720.1
journal fristpage528
journal lastpage542
treeJournal of Atmospheric and Oceanic Technology:;2005:;volume( 022 ):;issue: 005
contenttypeFulltext


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