Roles of Drop Size Distribution and Turbulence in Autoconversion Based on Lagrangian Cloud Model Simulations

dataset

posted on 2022-01-14, 07:10 authored by Donggun OhDonggun Oh, Yign Noh

These data are obtained by using PALM (https://palm.muk.uni-hannover.de/trac), the large eddy simulation. The simulation is designed to produce a shallow cumulus field following Siebesma et al. (2003).

The 8 simulations are performed with 4 different initial droplet concentrations (60, 80, 100, 120 cm-3) and 2 different surface fluxes (original and 1.5 times enhanced case). The 2 additional simulations including activation process are also included with initial aerosol concentration 120, 200 cm-3.

netCDF data contain profiles for all simulations with 15 s time intervals with various outputs. Usage and format of regression data can be found in attached README.txt file.

Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1F1A1051121).

This work was carried out by utilizing the supercomputer system at the National Center for Meteorological Supercomputer of Korea Meteorological Administration(KMA).

History

Usage metrics

Keywords

Turbulence Large eddy simulation cloud microphysics parameterization Cloud Microphysics Droplet size distributions Autoconversion Atmospheric Sciences

Licence

CC BY 4.0