Pi Chamber Simulation with Superdroplets
These data come from numerical simulations of turbulent moist Rayleigh–Bénard convection driving cloud condensation nuclei (CCN) activation and cloud droplet growth in the laboratory Pi chamber. Lagrangian particle-based microphysics is used to represent CCN deliquescence and droplet growth with kinetic, solute, and surface tension effects included. The dataset includes the numerical code for the chamber simulation and two output files that include evolutions of 1) the dynamics and thermodynamic three-dimensional fields, and 2) positions and sizes of the Superdroplets. The dataset is created per journal publication requirement.
The dataset includes a Fortran code for the Pi chamber simulation and two output binary files written by the code. The simulation solves model equations on the 51**3 grid that covers the Pi chamber and follows about 3.8 million of computational particles (referred to as Superdroplets) that represent CCN and cloud droplets. The simulation covers 20 minutes of the chamber simulation. Dynamic and thermodynamic fields (velocity components, temperature, humidity) are saved every 12 seconds. Superdroplets data (positions and radii) are saved every minute.
4 Files, 6.02 GB Total Size
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UCAR/NCAR - Mesoscale and Microscale Meteorology Laboratory
grabow@ucar.edu
UCAR/NCAR - GDEX
gdex@ucar.edu
- Credit
- This material is based upon work supported by the NSF National Center for Atmospheric Research, which is a major facility sponsored by the U.S. National Science Foundation under Cooperative Agreement No. 1852977.
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- Creative Commons Attribution 4.0 International License.
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- Version History
- 1.0
- Authors
- Wojciech Grabowski
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- 42
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- 912.71 MB Total