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The mechanism of first raindrops formation in deep convective clouds
Author(s) -
Khain A.,
Prabha Thara V.,
Benmoshe Nir,
Pandithurai G.,
Ovchinnikov M.
Publication year - 2013
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
eISSN - 2169-8996
pISSN - 2169-897X
DOI - 10.1002/jgrd.50641
Subject(s) - coalescence (physics) , cloud base , adiabatic process , aerosol , convection , cloud condensation nuclei , cloud physics , entrainment (biomusicology) , effective radius , condensation , convective mixing , liquid water content , turbulence , mechanics , meteorology , physics , atmospheric sciences , astrophysics , thermodynamics , cloud computing , galaxy , astrobiology , computer science , rhythm , acoustics , operating system
The formation of first raindrops in deep convective clouds is investigated. A combination of observational data analysis and 2D and 3D simulations of deep convective clouds suggests that the first raindrops form at the top of undiluted or slightly diluted cores. It is shown that droplet size distributions in these regions are wider and contain more large droplets than in diluted volumes. The results of the study suggest that the initial raindrop formation is determined by the basic microphysical processes within ascending adiabatic volumes. It allows one to predict the height of the formation of first raindrops considering the processes of cloud condensation nuclei activation, droplet diffusion growth, and coalescence growth. The results obtained in the study explain observational results through which the in‐cloud height of first raindrop formation depends linearly on the droplet number concentration at cloud base. The results also explain why a simple adiabatic parcel model can reproduce this dependence. The present study provides a physical basis for retrieval algorithms of cloud microphysical properties and aerosol properties using satellites. The study indicates that the role of mixing and entrainment in the formation of the first raindrops is not of crucial importance. It is also shown that low variability of effective and mean volume radii along horizontal traverses, as regularly observed by in situ measurements, can be simulated by high‐resolution cloud models in which mixing is parameterized by a traditional 1.5 order turbulence closure scheme.

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