A method for computing the three-dimensional radial distribution function of cloud particles from holographic images
<p>Reliable measurements of the three-dimensional radial distribution function for cloud droplets are desired to help characterize microphysical processes that depend on local drop environment. Existing numerical techniques to estimate this three-dimensional radial distribution function are...
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2018-07-01
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Series: | Atmospheric Measurement Techniques |
Online Access: | https://www.atmos-meas-tech.net/11/4261/2018/amt-11-4261-2018.pdf |
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doaj-7033d9369ab54608a2e9034044b2610b2020-11-25T00:07:18ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482018-07-01114261427210.5194/amt-11-4261-2018A method for computing the three-dimensional radial distribution function of cloud particles from holographic imagesM. L. Larsen0M. L. Larsen1R. A. Shaw2Department of Physics and Astronomy, College of Charleston, Charleston, SC, USADepartment of Physics, Michigan Technological University, Houghton, MI, USADepartment of Physics, Michigan Technological University, Houghton, MI, USA<p>Reliable measurements of the three-dimensional radial distribution function for cloud droplets are desired to help characterize microphysical processes that depend on local drop environment. Existing numerical techniques to estimate this three-dimensional radial distribution function are not well suited to in situ or laboratory data gathered from a finite experimental domain. This paper introduces and tests a new method designed to reliably estimate the three-dimensional radial distribution function in contexts in which (i) physical considerations prohibit the use of periodic boundary conditions and (ii) particle positions are measured inside a convex volume that may have a large aspect ratio. The method is then utilized to measure the three-dimensional radial distribution function from laboratory data taken in a cloud chamber from the Holographic Detector for Clouds (HOLODEC).</p>https://www.atmos-meas-tech.net/11/4261/2018/amt-11-4261-2018.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
M. L. Larsen M. L. Larsen R. A. Shaw |
spellingShingle |
M. L. Larsen M. L. Larsen R. A. Shaw A method for computing the three-dimensional radial distribution function of cloud particles from holographic images Atmospheric Measurement Techniques |
author_facet |
M. L. Larsen M. L. Larsen R. A. Shaw |
author_sort |
M. L. Larsen |
title |
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
title_short |
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
title_full |
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
title_fullStr |
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
title_full_unstemmed |
A method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
title_sort |
method for computing the three-dimensional radial distribution function of cloud particles from holographic images |
publisher |
Copernicus Publications |
series |
Atmospheric Measurement Techniques |
issn |
1867-1381 1867-8548 |
publishDate |
2018-07-01 |
description |
<p>Reliable measurements of the three-dimensional radial distribution function
for cloud droplets are desired to help characterize microphysical processes
that depend on local drop environment. Existing numerical techniques to
estimate this three-dimensional radial distribution function are not well
suited to in situ or laboratory data gathered from a finite experimental
domain. This paper introduces and tests a new method designed to reliably
estimate the three-dimensional radial distribution function in contexts in
which (i) physical considerations prohibit the use of periodic boundary
conditions and (ii) particle positions are measured inside a convex volume
that may have a large aspect ratio. The method is then utilized to measure
the three-dimensional radial distribution function from laboratory data taken
in a cloud chamber from the Holographic Detector for Clouds (HOLODEC).</p> |
url |
https://www.atmos-meas-tech.net/11/4261/2018/amt-11-4261-2018.pdf |
work_keys_str_mv |
AT mllarsen amethodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages AT mllarsen amethodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages AT rashaw amethodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages AT mllarsen methodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages AT mllarsen methodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages AT rashaw methodforcomputingthethreedimensionalradialdistributionfunctionofcloudparticlesfromholographicimages |
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