2016
DOI: 10.1007/s00703-016-0458-9
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Skewness of cloud droplet spectrum and an improved estimation for its relative dispersion

Abstract: The relative dispersion of the cloud droplet spectrum is a very important parameter in describing and modeling cloud microphysical processes. Based on the definition of skewness as well as theoretical and data analyses, a linear fitting relationship (a = 2.91e-0.59) between skewness (a) and relative dispersion (e) is established and a new method is developed to estimate the relative dispersion of the cloud droplet spectrum. The new method does not depend on any assumption of a particular distribution for the c… Show more

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Cited by 3 publications
(1 citation statement)
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“…The study of cloud microphysics can improve the understanding of cloud cycles [12], warm cloud precipitation, cloud radiation characteristics and optical characteristics [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%
“…The study of cloud microphysics can improve the understanding of cloud cycles [12], warm cloud precipitation, cloud radiation characteristics and optical characteristics [13][14][15][16].…”
Section: Introductionmentioning
confidence: 99%