http://bolin.su.se/data/baro-perez-2023-biomass-burning-1 Alejandro Baró Pérez, Michael S. Diamond, Frida A.-M. Bender, Abhay Devasthale, Matthias Schwarz, Julien Savre, Juha Tonttila, Harri Kokkola, Hyunho Lee, David Painemal, Annica M. L. Ekman Bolin Centre Database 2023 Datafile Atmosphere Aerosols Stratocumulus Southeast Atlantic Large eddy simulation Earth science > Atmosphere > Clouds > Cloud properties Annica Ekman 2023-09-05T16:03:08+00:00 English 1 The dataset contains output from MIMICA (Savre et al., 2014). The data are provided as NetCDF files. The file names are composed by the following labels (e.g. `AUG03_CTRL_prof.nc`): - Simulation day, referring to August 2017 - `AUG03` - `AUG16` - `AUG31` - Experiment name - `CTRL` control simulation - `AER-rad-off` aerosol-radiation interaction turned off - `DRY` water vapor mixing ratio reduced - `N100` aerosol number concentration reduced to 100 mg⁻¹ - Output type - `prof` profile data with dimensions `Z` and time, which are average profiles of the same variables in the model domain - `surf` surface data with dimensions `X`, `Y` and time From the described files we used the following variables in the manuscript: - From the `prof` files: - Water vapor mixing ratio [kg/kg] `Qv` - Aerosol number concentration [1/kg] `N_AERO1` - Resolved turbulent kinetic energy [m²/s²] `TKE` - SGS turbulent kinetic energy [m²/s²] `TKE_sgs` - Long wave radiative heating [K/s] `DT_LW` - Cloud area fraction in atmospheric layer [-] `ClF_layer` - From the `surf` files: - Liquid water path [kg/m²] `LWP` - Accumulated surface precipitation [mm] `R_cumul` We additionally used the following variables from MIMICA outputs with dimensions `X`, `Y`, `Z` and time: - Cloud droplet number density [kg⁻¹] `Nc` - Cloud droplet mean size [mm] `Dc` Due to their large size, these outputs are not included in this dataset. The files will be temporally available at Stockholm University (contact Annica Ekman).