http://bolin.su.se/data/bulatovic-2022-cloud-structure-1 Ines Bulatovic, Julien Savre, Caroline Leck, Michael Tjernström, Annica Ekman Bolin Centre Database 2022 Datafile Atmosphere Clouds Arctic High Arctic Arctic clouds Mixed-phase stratocumulus Boundary layer Aerosols LES MOCCHA Arctic Ocean 2018 Earth science > Atmosphere > Clouds Ines Bulatovic 2022-11-30T12:25:44+00:00 English 1 Dataset represents the output from the LES model MIMICA (Savre et al. 2014) and contains cloud variables that are used in the Bulatovic et al. (2022) study. The variables that are used for plotting in the paper (together with their abbreviations in the files) are listed below: - Potential temperature (PT) - Relative humidity (RH) - Relative humidity, over ice (RHi) - Turbulent kinetic energy due to buoyancy (Buoy) - Water vapour mixing fraction (Qv) - Cloud droplet mixing fraction (Qc) - Rain drops mixing fraction (Qr) - Ice mixing fraction (Qi) - Snow mixing fraction (Qs) - Graupel mixing fraction (Qg) - Cloud droplet number density (Nc) - Rain drops number density (Nr) - Ice number density (Ni) - Snow number density (Ns) - Graupel number density (Ng) - Liquid water path (LWP) - Ice water path (IWP) - Showrtwave radiative flux (FRAD_sw) - Longwave radiative flux (FRAD_lw) Note: LWP and IWP variables are integrated from Qc+Qr and Qi+Qs+Qg variables, respectively. The pressure, temperature and humidity profiles are initialized in the LES based on the radiosonde data from 18 August 12:00 UTC (Prytherch et al. 2019). Measurements from MISU weather station (Prytherch 2021) are used to set up surface variables in the model. For the initial aerosol size distribution, median values representative of the period 12:00 to 24:00 UTC on 18 August are used (Karlsson and Zieger 2020). The dataset contains 14 files in HDF5 format (file extension `nc`). Files are named as `simulationname.nc`. File `mocchadefault.nc` corresponds to output of the control simulation. The rest of the files are model outputs from the sensitivity tests. The computations performed using MIMICA and data handling were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at the National Supercomputer Centre (NSC) partially funded by the Swedish Research Council through grant agreement no. 2018-05973. Please, cite the study by Bulatovic et al. (2022) when using this dataset.