=========================================================================================================== README for DATASET "Data from: Impact of the latitude of stratospheric aerosol injection on the Southern Annular Mode" =========================================================================================================== Author contacts: Ewa Bednarz (ewa.bednarz@cornell.edu) Daniele Visioni (dv224@cornell.edu) This readme file describes the dataset used in the following GRL paper: Bednarz, E. M., Visioni , D., Richter, J. H., Butler, A. H., MacMartin , D. G.: Impact of the latitude of stratospheric aerosol injection on the Southern Annular Mode, GRL, 2022 (in rev.) This dataset is shared under a Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). The material can be shared and built upon, but attribution to the original authors and a statement of changes made is required. Please provide proper attribution if you use this dataset: Bednarz, E.M. and Visioni, D. (2022) Data from: Impact of the latitude of stratospheric aerosol injection on the Southern Annular Mode. [Dataset]. Cornell University Library eCommons Repository. https://doi.org/10.7298/y8jq-tm62 All files in the dataset are NetCDF (Network Common Data Form) and can be easily read in common programming languages (python, Matlab, R, NCL, C++, and others). Data was produced with the climate model CESM2-WACCM6. The data for the Transformed Eulerian Means DELF (EP flux divergence) and WSTAR (vertical component of residual circulation) variables was calculated offline using model output. The single files are described as follow: [Variable name]_[Simulation name]_[ensemble member].nc for the SSP simulations [Variable name]_[Simulation name].nc for the SAI simulations, with the ensemble member given as one of the dimensions The timeseries span 01/2035-12/2069 for the SAI simulations, 01/2015-12/2099 for ENS1 SSP, 01/2015-12/2098 for ENS2 SSP, and 01/2020-12/2099 for ENS3 SSP. The variables shared are: ==================================================================================================================== Variable name dimensions long name units T 3D-zm temperature K so4_a1 3D-zm SO4 in mode 1 VMR so4_a2 3D-zm SO4 in mode 2 VMR so4_a3 3D-zm SO4 in mode 3 VMR PSL 2D-map sea level pressure Pa U 3D-zm zonal wind m/s UV (or UVzm) 3D-zm meridional eddy momentum flux m2/s2 VTH (or VTHzm) 3D-zm meridional eddy heat flux Km/s WSTAR 3D-zm vertical component of TEM residual circulation m/s DELF 3D-zm EP flux divergence m/s2 Acknowledgments We would like to acknowledge high-performance computing support from Cheyenne (https://doi.org/10.5065/ D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation. Support was provided by the Atkinson Center for a Sustainability at Cornell University for EMB, DV and DGM; and by the National Science Foundation through agreement CBET-1818759 for DV and DGM. This material is based upon work supported by the National Center for Atmospheric Research, which is a major facility sponsored by the National Science Foundation under Cooperative Agreement no. 1852977, and by SilverLining through its Safe Climate Research Initiative.