Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds – Dataset and analysis scripts

This archive contains A) the data and B) the analysis scripts corresponding to the manuscript “Ice-free tropical waterbelt during Snowball Earth events questioned by uncertain clouds” by Christoph Braun [1], Johannes Hörner [2], Aiko Voigt [2], and Joaquim G. Pinto [1] [1] IMK-TRO, Karlsruhe Institute of Technology [2] IMG, University of Vienna Please contact Christoph Braun ([e-mail]) or Aiko Voigt ([e-mail]) 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) from the Max-Planck Institute of Meteorology, Hamburg, Germany. The dataset contains - 2d data for all simulations and 3d data for selected simulations; zonal-mean and global-mean monthly-mean and climatological data (format: netcdf) - initial and boundary conditions (format: netcdf) - runscripts (located in the subdirectories corresponding to each model) - analysis code The data is organized in 5 subdirectories, each corresponding to one of the following model configurations. - CAM - CAM pCOOKIE - CAM pCOOKIE subtropical columns - ICON - ICON WBF We describe how we obtained and modified CAM and ICON in the files “CAM_description” and “ICON_description”. We also provide the runscripts for the conducted simulations. We further describe the postprocessing steps performed with CDO in the file “Postprocessing_CDO”. B) Analysis scripts The analysis scripts are located in the subdirectory “analysis_scripts”. The directory "analysis" will contain intermediate results generated by the analysis scripts and the directory "figures" will contain the figures generated by the analysis scripts. To run the analysis scripts we applied the following libraries as provided by the German Climate Computing Center (DKRZ) using the Kernel „ESMValTool“. * xarray (0.17.0) * numpy (1.20.1) * matplotlib (3.3.4) * scipy (1.5.3) * cftime (1.2.1) * pandas (1.2.2) * statsmodels (0.12.2)