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

<strong>Introduction</strong> These data accompany the manuscript entitled <em>"Enhanced sulphur emissions offset global warming and impact rainfall"</em> (details to follow later). Please refer to the manuscript for details. <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>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), US DOE (DE-FG02-94ER61937), US 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.