Data from a modelling study on the importance of Aitken mode particles for cloud sustenance in the high Arctic
Ines Bulatovic, Adele L. Igel
This dataset presents the model output from two large-eddy simulation models. The model simulations were performed with the aim to investigate the importance of Aitken mode particles (diameters ~25-80 nm) for cloud sustenance in the high Arctic during the summertime.
The simulations are based on a period that was characterised by a persistent, low-level stratiform mixed-phase cloud observed in the summer of 2008 during the Arctic Summer Cloud Ocean Study (ASCOS) expedition with icebreaker Oden in high-latitude areas in the Arctic Ocean.
The outputs from the two models contain cloud variables, i.e. dynamical and microphysical properties of the simulated cloud for the selected region and simulated period of 12 hours.
AtmosphereAerosolsHigh ArcticArctic cloudsAitken mode particlesLarge-eddy simulationsASCOS
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Citation
References
Bulatovic I, Igel AL, Leck C, Heintzenberg J, Riipinen I, Ekman AML (2020). The importance of Aitken mode aerosol particles for cloud sustenance in the summertime high Arctic: A simulation study supported by observational data. Manuscript in preparation.
Tjernström M, et al. (2014). The Arctic Summer Cloud Ocean Study (ASCOS): overview and experimental design. Atmospheric Chemistry and Physics, 14, 28230 – 2869. https://doi.org/10.5194/acp-14-2823-2014
Savre J, Ekman AML, Svensson G (2014). Technical note: Introduction to MIMICA, a large-eddy simulation solver for cloudy planetary boundary layers. J. Adv. Model. Earth Sy., 6, 1 – 20. https://doi.org/10.1002/2013MS000292
Cotton WR, Pielke Sr. RA, Walko RL, Liston GE, Tremback CJ, Jiang H, McAnelly RL, Harrington JY, Nicholls ME, Carrio GG, McFadden JP (2003). RAMS 2001: Current status and future directions. Meteorol. Atmos. Phys., 82, 5 – 29. https://doi.org/10.1007/s00703-001-0584-9
Data description
The dataset contains output data from two different models, MIMICA (Savre et al., 2014) and RAMS (Cotton et al., 2003). Data from each model contains cloud variables used in the Bulatovic et al. (2020) study. The variables (the ones used for plotting in the paper) and their abbreviations in the files are listed below:
MIMICA
- cloud water mixing ratio (qc)
- rain water mixing ratio (qr)
- ice crystal mixing ratio (qi)
- graupel mixing ratio (qg)
- condensation/evaporation rates for cloud droplets and rain drops (qc_diag and qr_diag)
- deposition/sublimation rates for ice crystals (qi_diag)
- liquid water path (LWP)
- ice water path (IWP)
- radiative cooling rates (raddt)
- saturation (SAT)
- vertical velocity (W)
- cloud top height (zi).
Note: Files are named as variablename.time.simulationname or variablename.simulationname.nc. The T_S.simulationname files include LWP, IWP and zi from corresponding simulation cases presented in the Bulatovic et al. (2020) study.
The MIMICA dataset contains 200 files in either HDF5 format (70 files, file extension nc) or plain ascii text (130 files) format. Total size of uncompressed files: 2.4 GB.
RAMS
- cloud water mixing ratio (PROFrcp)
- rain water mixing ratio (PROFrrp)
- ice crystal mixing ratio (PROFrsp)
- graupel mixing ratio (PROFrgp)
- hail mixing ratio (PROFrhp)
- condensation/evaporation rates for cloud droplets and rain drops (PROFvapcldt and PROFvapraint)
- deposition/sublimation rates for ice crystals (PROFvapsnowt)
- liquid water path (lwp)
- ice water path (iwp)
- radiative cooling rates (PROFfthrd)
- saturation (rh)
- vertical velocity (w)
- cloud top height (ztop).
Note: PROFrcp, PROFrrp, PROFrsp, PROFrgp, PROFrhp, lwp, iwp are included in the output.x.x.h5 files while PROFvapcldt, PROFvapraint, PROFvapsnowt, PROFfthrd, ztop are included in the files output.x.x_2.h5. The files output.x.x_rh.5 and output.x.x_w.h5 contain rh and w variables, respectively. x.x. refers to the name of the simulation case.
The RAMS dataset contains 50 files in HDF5 format (file extension h5). Total size of uncompressed files: 3.3 GB.
Comments
Please, cite the study by Bulatovic et al. (2020) when using this dataset.
Ines Bulatovic (Department of Meteorology, Stockholm University) , Adele Igel (Department of Land, Air and Water Resources, University of California, Davis) and Annica Ekman (Department of Meteorology, Stockholm University) designed the experiments. Bulatovic and Igel performed the model simulations. Bulatovic analysed the model outputs.
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. 2016-07213.
An overview of the Summer Cloud Ocean Study (ASCOS) is provided by Tjernström et al. (2014).
Project
Swedish Science Foundation (Vetenskapsrådet), grant 2015‐05318 and the U.S. Department of Energy’s Atmospheric System Research Grant DE-SC0019073
Publisher
Bolin Centre Database
License
First name
Ines
Last name or organisation
Bulatovic
Email address
Address
Department of Meteorology; Stockholm University
Postal code
SE-106 91
City
Stockholm
Country
Sweden
GCMD science keyword
Earth science > Atmosphere > Clouds > Cloud microphysics > Cloud liquid water/ice
GCMD location
Geographic Region > Arctic
Dataset language
English