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  2. Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts
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    Datenpaket: Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts

    Alternativer Identifier:
    (KITopen-DOI) 10.5445/IR/1000147858
    Verwandter Identifier:
    -
    Ersteller/in:
    Braun, Christoph https://orcid.org/0000-0002-8939-6501 [Forschungsbereich Troposphäre]

    Voigt, Aiko [Voigt, Aiko]

    Hoose, Corinna https://orcid.org/0000-0003-2827-5789 [Forschungsbereich Troposphäre]

    Ekman, Annica M. L. [Ekman, Annica M. L.]

    Pinto, Joaquim G. [Forschungsbereich Troposphäre]
    Beitragende:
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    Titel:
    Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations - Dataset and analysis scripts
    Weitere Titel:
    -
    Beschreibung:
    (Technical Remarks) This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Controls on subtropical cloud reflectivity during a waterbelt scenario for the Cryogenian glaciations” by Christoph Braun [1], Aiko Voigt [2], Corinna Hoose [1], Annica M. L. Ekman [3], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna [3] Department of Meteorology and Bolin Center for Climate Research, Stockholm University, Stockholm, Sweden Please contact Christoph Braun (christoph.braun@kit.edu) or Aiko Voigt (aiko.voigt@univie.ac.at) if you have questions regarding the content of this archive. A) Data The dataset contains postprocessed model output data produced with the general circulation models “Community Atmosphere Model v3.1” (CAM) from the National Center for Atmospheric Research, Boulder, Colorado, and “ICOsahedral Nonhydrostatic” model with the climate physics package (version AES 1.3.00), and the numerical weather prediction and large eddy model packages (version 2.6.1) from the Max-Planck Institute of Meteorology, Hamburg, Germany and the German Weather Service, Offenbach, Germany. The dataset contains - 2d data for all global simulations and 3d data for selected global simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - 2d data, cross sections and vertical profiles for ICON-NWP model hierarchy - initial and boundary conditions (format: netcdf) or the scripts to obtain initial and boundary conditions from conducted simulations - runscripts (located in the subdirectories corresponding to each model) The data is organized in 9 subdirectories. 4 subdirectories contain the simulation output data corresponding to the 4 models CAM, ICON-AES, ICON-NWP, and ICON-LEM. We describe how we obtained and modified the models in the files “CAM_description”, “ICON-AES_description”, and “ICON-NWP_description”. We also provide the runscripts for the conducted simulations. One subdirectory contains the grids required for the simulations as well as the files to create the limited area grids using the grid generator provided by the DWD ICON-TOOLS 2.3.3. 4 sudirectories contain the initial and boundary conditions as well as the remapping scripts to obtain the initial and boundary conditions for the ICON-NWP/-LEM model hierarchy. The latter is described in the file “Create_initial_and_boundary_conditions_ICON-NWP_and_ICON-LEM”. Postprocessing of the simulation output data was performed using the Climate Data Operator software provided by DKRZ. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" contains intermediate results generated by the analysis scripts and the directory "figures" contains the figures generated by the analysis scripts. To run the analysis scripts we applied the Kernel „Python 3“ as provided by the German Climate Computing Center (DKRZ).
    Schlagworte:
    Climate Dynamics
    Snowball Earth
    waterbelt states
    general circulation model
    large-eddy model
    idealized aquaplanet simulations
    mixed-phase clouds
    Zugehörige Informationen:
    -
    Sprache:
    -
    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Geological Science
    Objekttyp:
    Dataset
    Datenquelle:
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    Verwendete Software:
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    Datenverarbeitung:
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    Erscheinungsjahr:
    Rechteinhaber/in:

    Voigt, Aiko

    Ekman, Annica M. L.

    Pinto, Joaquim G.
    Förderung:
    -
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    kitopen
    Erstellt am:
    Archivierungsdatum:
    2023-06-21
    Archivgröße:
    54,3 GB
    Archiversteller:
    kitopen
    Archiv-Prüfsumme:
    3e0c1d560a8f52457c96bad46acce49a (MD5)
    Embargo-Zeitraum:
    -