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Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon

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Pardo,  Lianet Hernandez
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Machado,  Luiz A. T.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Andreae,  Meinrat O.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pöhlker,  Christopher
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pöschl,  Ulrich
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Pöhlker,  Mira L.
Multiphase Chemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Citation

Pardo, L. H., Machado, L. A. T., Morrison, H., Cecchini, M. A., Andreae, M. O., Pöhlker, C., et al. (2021). Observed and Simulated Variability of Droplet Spectral Dispersion in Convective Clouds Over the Amazon. Journal of Geophysical Research: Atmospheres, 126(20): e2021JD035076. doi:10.1029/2021JD035076.


Cite as: https://hdl.handle.net/21.11116/0000-0009-CA42-9
Abstract
In this study, the variability of the spectral dispersion of droplet size distributions (DSDs) in convective clouds is investigated. Analyses are based on aircraft measurements of growing cumuli near the Amazon basin, and on numerical simulations of an idealized ice-free cumulus. In cleaner clouds, the relative dispersion urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0001, defined as the ratio of the standard deviation to the mean value of the droplet diameter, is negatively correlated with the ratio of the cloud water content (urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0002) to the adiabatic liquid water content (urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0003), while no strong correlation between urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0004 and urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0005 is seen in polluted clouds. Bin microphysics numerical simulations suggest that these contrasting behaviors are associated with the effect of collision-coalescence in cleaner clouds, and secondary droplet activation in polluted clouds, in addition to the turbulent mixing of parcels that experienced different paths within the cloud. Collision-coalescence simultaneously broadens the DSDs and decreases urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0006, explaining the inverse relationship between urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0007 and urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0008 in cleaner clouds. Secondary droplet activation broadens the DSDs but has little direct impact on urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0009. The combination of a rather modest DSD broadening due to weak collision-coalescence with enhanced droplet activation in both diluted and highly undiluted cloud regions may contribute to maintain a relatively uniform urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0010 within polluted clouds. These findings can be useful for parameterizing the shape parameter (urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0011) of gamma DSDs in bulk microphysics cloud-resolving models. It is shown that emulating the observed urn:x-wiley:2169897X:media:jgrd57348:jgrd57348-math-0012 relationship improves the estimation of the collision-coalescence rate in bulk microphysics simulations compared to the bin simulations.