Data for "Enhanced marine sulphur emissions offset global warming and impact rainfall"

<strong>Introduction:</strong>These data accompany the manuscript titled <em>"Enhanced marine sulphur emissions offset global warming and impact rainfall"</em> by B.S. Grandey and C. Wang (Scientific Reports, 2015). Please refer to the manuscript for details: http://www.nature.com/articles/srep13055. <strong>File size warning:</strong> These files are relatively large. <strong>Contents:</strong> 1x emissions file: -<em> p2012b_maxperlat_aerocom_mam3_dms_surf_1849-2100_c111017.nc</em> contains the modified DMS emissions for the EnDMS simulation. 6x transient simulation output data files: - <em>p2012b_R45_*</em> correspond to the three RCP4.5 simulations. - <em>p2012b_EnD_*</em> correspond to the three EnDMS simulations. - <em>f1</em>, <em>h1</em>, and <em>h2</em> refer to three sets of initial conditions. 5x presribed-SST simulation output data files: - <em>p2012b_F_*</em> contain the output data from the prescribed-SST simulations. Year-2000 climatological SST and greenhouse concentrations were prescribed. - <em>1850</em>, <em>2000</em>, and <em>2080</em> refer the year of the aerosol emissions. - <em>R45</em> and <em>EnD</em> refer to the RCP4.5 and EnDMS scenarios respectively. - Inside these precribed-SST simulation data files, the subscript "_d1" refers to clean-sky fluxes. "cDRE", "cCRE", and "cFNTOA" refer to the direct radiative effect, net cloud RFP, and net total RFP respectively. <strong>NetCDF file format:</strong> .nc is the extension for NetCDF format, a binary data format commonly used for climate model output data. These NetCDF files contain metadata which aid interpretation of the data. The metadata and data can be explored using the free Panoply software tool (http://www.giss.nasa.gov/tools/panoply/ [28-Aug-2015]). <strong>Contributions:</strong> Benjamin S. Grandey and Chien Wang designed the experiment. B.S.G. configured the model simulations and analysed the data. B.S.G. wrote the paper, with contributions from C.W.. <strong>Acknowledgments:</strong> This research was funded by the Singapore National Research Foundation (NRF) through the Singapore-MIT Alliance for Research and Technology (SMART) Center for Environmental Sensing and Modeling (CENSAM). This research was also supported by the U.S. National Science Foundation (AGS-0944121), U.S. DOE (DE-FG02-94ER61937), U.S. EPA (XA- 83600001-1), and the A*STAR Computational Resource Centre of Singapore (http://www.acrc.a-star.edu.sg) through the use of its high performance computing facilities. Phil Rasch, Balwinder Singh, and Jin-Ho Yoon provided initial conditions data and provided advice on the RCP4.5 model configuration.