Cloud-edge mixing: Direct numerical simulation and observations in Indian Monsoon clouds

AMS Citation:
Kumar, B., S. Bera, T. V. Prabha, and W. W. Grabowski, 2017: Cloud-edge mixing: Direct numerical simulation and observations in Indian Monsoon clouds. Journal of Advances in Modeling Earth Systems, 9, 332-353, doi:10.1002/2016MS000731.
Resource Type:article
Title:Cloud-edge mixing: Direct numerical simulation and observations in Indian Monsoon clouds
Abstract: A direct numerical simulation (DNS) with the decaying turbulence setup has been carried out to study cloud-edge mixing and its impact on the droplet size distribution (DSD) applying thermodynamic conditions observed in monsoon convective clouds over Indian subcontinent during the Cloud Aerosol Interaction and Precipitation Enhancement EXperiment (CAIPEEX). Evaporation at the cloud-edges initiates mixing at small scale and gradually introduces larger-scale fluctuations of the temperature, moisture, and vertical velocity due to droplet evaporation. Our focus is on early evolution of simulated fields that show intriguing similarities to the CAIPEEX cloud observations. A strong dilution at the cloud edge, accompanied by significant spatial variations of the droplet concentration, mean radius, and spectral width, are found in both the DNS and in observations. In DNS, fluctuations of the mean radius and spectral width come from the impact of small-scale turbulence on the motion and evaporation of inertial droplets. These fluctuations decrease with the increase of the volume over which DNS data are averaged, as one might expect. In cloud observations, these fluctuations also come from other processes, such as entrainment/mixing below the observation level, secondary CCN activation, or variations of CCN activation at the cloud base. Despite large differences in the spatial and temporal scales, the mixing diagram often used in entrainment/mixing studies with aircraft data is remarkably similar for both DNS and cloud observations. We argue that the similarity questions applicability of heuristic ideas based on mixing between two air parcels (that the mixing diagram is designed to properly represent) to the evolution of microphysical properties during turbulent mixing between a cloud and its environment.
Peer Review:Refereed
Copyright Information:Copyright 2017 American Geophysical Union.
OpenSky citable URL: ark:/85065/d7z321g9
Publisher's Version: 10.1002/2016MS000731
  • Bipin Kumar
  • Sudarsan Bera
  • Thara V. Prabha
  • Wojceich W. Grabowski - NCAR/UCAR
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