Effects of Variable Droplet Growth Histories on Droplet Size Distributions. Part I: Theory

1989 ◽  
Vol 46 (10) ◽  
pp. 1301-1311 ◽  
Author(s):  
William A. Cooper
2011 ◽  
Vol 68 (12) ◽  
pp. 2921-2929 ◽  
Author(s):  
Jennifer L. Bewley ◽  
Sonia Lasher-Trapp

Abstract A modeling framework representing variations in droplet growth by condensation, resulting from different saturation histories experienced as a result of entrainment and mixing, is used to predict the breadth of droplet size distributions observed at different altitudes within trade wind cumuli observed on 10 December 2004 during the Rain in Cumulus over the Ocean (RICO) field campaign. The predicted droplet size distributions are as broad as those observed, contain similar numbers of droplets, and are generally in better agreement with the observations when some degree of inhomogeneous droplet evaporation is considered, allowing activation of newly entrained cloud condensation nuclei. The variability of the droplet growth histories, resulting primarily from entrainment, appears to explain the magnitude of the observed droplet size distribution widths, without representation of other broadening mechanisms. Additional work is needed, however, as the predicted mean droplet diameter is too large relative to the observations and likely results from the model resolution limiting dilution of the simulated cloud.


2020 ◽  
Author(s):  
Maofei Mei ◽  
Feng Hu ◽  
Chong Han ◽  
Yan Sun ◽  
Dongdong Liu

Abstract Droplet growth processes during dropwise condensation are simulated with a help of computer. We focus on instantaneous and time-averaged characteristics of droplet size distributions. Based on simulation results, shift of a single peak from small to large size is a significant characteristic for the instantaneous distribution before the first departure. Once condensing surface was refreshed time and again by shedding droplets, then coexistence, shift and combination of multiple peaks is the dominant feature. This indicates that the instantaneous droplet size distribution highly depends on growth time and target area. The findings can explain why different distribution characteristics were reported in experiments. Different from the instantaneous distribution, time-averaged size distributions for coalesced droplets follow a power-law style due to a collaboration of coalescence events and re-nucleation behaviors. However, the size range for the power-law distributions were affected by nucleation density. This requires an appropriate usage of the empirical or fractal model to predict theoretically heat transfer rate of dropwise condensation. The present work provides a comprehensive understanding of the instantaneous and time-averaged characteristics of droplet size distributions.


2011 ◽  
Vol 21 (3) ◽  
pp. 263-274 ◽  
Author(s):  
Jiabing Gu ◽  
Heping Zhu ◽  
Weimin Ding ◽  
Hong Young Jeon

2002 ◽  
Vol 12 (1-3) ◽  
pp. 267-282 ◽  
Author(s):  
Milton E. Teske ◽  
Harold W. Thistle ◽  
Andrew J. Hewitt ◽  
I. W. Kirk

2020 ◽  
Vol 32 (2) ◽  
pp. 113-136 ◽  
Author(s):  
Simeon Pesch ◽  
Rebecca Knopf ◽  
Anahita Radmehr ◽  
Claire B. Paris ◽  
Zachary M. Aman ◽  
...  

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