Data for the 'Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation'

dc.contributor.affiliationUniversity of Crete, ECPL - Fanourgakis Georgios
dc.contributor.affiliationUniversity of Crete, ECPL - Kanakidou Maria
dc.contributor.affiliationEPFL, ICE-HT/FORTH - Nenes Athanasios
dc.contributor.affiliationNASA/GISS, Columbia University - Bauer Susanne E.
dc.contributor.affiliationKNMI - Bergman Tommi
dc.contributor.affiliationUniversity of Leeds - Carslaw Ken S
dc.contributor.affiliationidependent researcher - Grini Alf
dc.contributor.affiliationAtkinson Center for a Sustainable Future, Cornell University - Hamilton Douglas S
dc.contributor.affiliationUniversity of Leeds - Johnson Jill S
dc.contributor.affiliationForschungszentrum Jülich, Res IEK-8 - Karydis Vlassis A
dc.contributor.affiliationNorwegian Meteorological Institute - Kirkevåg Alf
dc.contributor.affiliationColorado State University - Kodros John K
dc.contributor.affiliationETHZ - Lohmann Ulrike
dc.contributor.affiliationState University of New York at Albany - Luo Gan
dc.contributor.affiliationClimate System Research FMI, University of Helsinki - Makkonen Risto
dc.contributor.affiliationGraduate School of Environmental Studies, Nagoya University - Matsui Hitoshi
dc.contributor.affiliationETHZ - Neubauer David
dc.contributor.affiliationColorado State University - Pierce Jeffrey R
dc.contributor.affiliationPSI - Schmale Julia
dc.contributor.affiliationUniversity of Oxford - Stier Philip
dc.contributor.affiliationColumbia University, NASA GISS - Tsigaridis Kostas
dc.contributor.affiliationKNMI - van Noije Twan
dc.contributor.affiliationPacific Northwest National Laboratory - Wang Hailong
dc.contributor.affiliationUniversity of Oxford, - Watson-Parris Duncan
dc.contributor.affiliationColumbia University, NASA GISS - Westervelt Daniel M
dc.contributor.affiliationPacific Northwest National Laboratory - Yang Yang
dc.contributor.affiliationUniversity of Leeds - Yoshioka Masaru
dc.contributor.affiliationUniversity of Bremen - Daskalakis Nikos
dc.contributor.affiliationIASC, NRC - Decesari Stefano
dc.contributor.affiliationPSI - Gysel-Beer Martin
dc.contributor.affiliationUniversity of Crete, ECPL - Kalivitis Nikos
dc.contributor.affiliationUniversity of Wyoming - Liu Xiaohong
dc.contributor.affiliationCornell University - Mahowald Natalie M
dc.contributor.affiliationIERSD/NOA - Myriokefalitakis Stelios
dc.contributor.affiliationLund University - Schrödner Roland
dc.contributor.affiliationUniversity of Crete, ECPL - Sfakianaki Maria
dc.contributor.affiliationMax Planck Institute for Chemistry - Tsimpidi Alexandra P
dc.contributor.affiliationUniversity of Wyoming - Wu Mingxuan
dc.contributor.affiliationState University of New York at Albany - Yu Fangqun
dc.contributor.authorFanourgakis Georgios
dc.contributor.authorKanakidou Maria
dc.contributor.authorNenes Athanasios
dc.contributor.authorBauer Susanne E.
dc.contributor.authorBergman Tommi
dc.contributor.authorCarslaw Ken S
dc.contributor.authorGrini Alf
dc.contributor.authorHamilton Douglas S
dc.contributor.authorJohnson Jill S
dc.contributor.authorKarydis Vlassis A
dc.contributor.authorKirkevåg Alf
dc.contributor.authorKodros John K
dc.contributor.authorLohmann Ulrike
dc.contributor.authorLuo Gan
dc.contributor.authorMakkonen Risto
dc.contributor.authorMatsui Hitoshi
dc.contributor.authorNeubauer David
dc.contributor.authorPierce Jeffrey R
dc.contributor.authorSchmale Julia
dc.contributor.authorStier Philip
dc.contributor.authorTsigaridis Kostas
dc.contributor.authorvan Noije Twan
dc.contributor.authorWang Hailong
dc.contributor.authorWatson-Parris Duncan
dc.contributor.authorWestervelt Daniel M
dc.contributor.authorYang Yang
dc.contributor.authorYoshioka Masaru
dc.contributor.authorDaskalakis Nikos
dc.contributor.authorDecesari Stefano
dc.contributor.authorGysel-Beer Martin
dc.contributor.authorKalivitis Nikos
dc.contributor.authorLiu Xiaohong
dc.contributor.authorMahowald Natalie M
dc.contributor.authorMyriokefalitakis Stelios
dc.contributor.authorSchrödner Roland
dc.contributor.authorSfakianaki Maria
dc.contributor.authorTsimpidi Alexandra P
dc.contributor.authorWu Mingxuan
dc.contributor.authorYu Fangqun
dc.date.accessioned2025-03-24T15:26:23Z
dc.date.issued2019-07-02
dc.date.issued2019-07-02
dc.descriptionAll numerical data used in the manuscript “Evaluation of global simulations of aerosol particle number and cloud condensation nuclei, and implications for cloud droplet formation” by G. S. Fanourgakis et al. ACP (2019) are categorized and provided in a number of files. All files are in the hdf format. A readme file is also provided. These data files have been created by G. S. Fanourgakis (fanourg@uoc.gr) Details on the data are provided in Fanourgakis et al. Atmos. Chem. Phys. 2019 https://doi.org/10.5194/acp-2018-1340  (e-mail to mariak@uoc.gr ; athanasios.nenes@epfl.ch ) For an in-depth understanding of the description below, a study of the above mentioned manuscript is required. (A) Station model results The station results can be found in files with filenames of the form: station $MODEL.nc The “$MODEL” (as well as all names starting with “$”) indicates a variable, and more specifically one of the models participated in the present study. The values of this variable are tabulated in Table 1 in the readme file. In each file a number of computational results are provided by the specified model for all nine (9) stations that provided observational data. The name of the variable is formed as: st $STATION $FIELDhour st $STATION $FIELD month where all possible values of the variables $STATION and $FIELD are tabulated in Tables 2 and 3 in the readme file, respectively. The extension _hour denotes that hourly values for the field are provided, while the extension _month the monthly average of this quantity. For example, the variable st Finokalia CCN02 hour found in the file station_TM4-ECPL.nc, contains the hourly values of the CCN0.2 at the Finokalia station as computed by the TM4-ECPL model. In a similar way, in the file station_EMAC.nc, the variable below gives the monthly values of dust at Vavihill as computed with the EMAC model. st Vavihill DU month Notice also that in all files hourly and monthly data are provided for the time period from 1-1-2011 up to 31-12-2015 (60 months and 43,824 hours) (B) Station observational results There is one file that contains all observational data from Schmale et al., SCIENTIFIC DATA | 4:170003 | DOI: 10.1038/sdata.2017.3, 2017 (julia.schmale@psi.ch) and the data that were computed based on the observations (i.e. number of cloud droplets) (contact person: athanasios.nenes@epfl.ch). The file is station observations.nc while the following fields are contained in there: st $STATION $FIELDhour st $STATION $FIELD month The values of variables are given in the Tables 2 and 3 in the readme file. The time period covered is from 1-1-2011 up to 31-12-2015. Notice that due to the lack of observations a lot of data are missing. For missing observational data the value -9999.999 is given. Contact person for the observational data is Julia Schmale (julia.schmale@psi.ch). (C) Station Multi-model Median Monthly averages of the models can be found in the file station MMM.nc The following fields can be found in the file st $STATION $FIELD month median st $STATION$FIELD month quart25 st $STATION$FIELD month quart75 where the values of the variables $STATION and $FIELD can be found in Tables 2 and 3, respectively. The extension median corresponds to the multi-model median, while the quart25 and quart75 to the 25 % and 75 % quartiles, respectively. (D) Global model results In the following single file can be found for each of the models the surface distribution of various fields. results global models year2011.nc They correspond to the annual mean of the year 2011. The resolution of the grid is 1◦ × 1◦. The file contains the following variables: $FIELD $MODEL The $FIELD and $MODEL can be found in Tables 3 and 1, respectively. (E) Global average results In the file surface_ global_average_year2011.nc can be found in 5◦×5◦ resolution, the Multi-model median of surface distribution of the various fields denoted in Table 3 and their corresponding diversity. The names of the variables are formed as: med $FIELD div $FIELD where, ‘med’ stands for median and ‘div’ for diversity calculated as standard deviation divided by the mean of the model results. Tables and details on the fields provided are given in the readme file.
dc.identifierhttps://doi.org/10.5281/zenodo.3265866
dc.identifier.urihttps://hydatakatalogi-test-24.it.helsinki.fi/handle/123456789/11389
dc.rightsOpen
dc.rights.licensecc-by-4.0
dc.subjectcloud condensation nuclei
dc.subjectcloud droplet number concentration
dc.subjectaerosol number
dc.subjectaerosol size distribution
dc.subjectglobal model intercomparison
dc.titleData for the 'Evaluation of global simulations of aerosol particle and cloud condensation nuclei number, with implications for cloud droplet formation'
dc.typedataset
dc.typedataset
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