DOI: 10.6084/m9.figshare.6072887
title: Data for "The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia"

description: <b>Introduction</b>These data accompany the manuscript by Grandey, Yeo, Lee, and Wang (2018), <b>The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia</b>, <i>Geophysical Research Letters</i>, https://doi.org/10.1029/2018GL080127.<br>The files contain input data and output data associated with the CESM-CAM5 climate model simulations described in the manuscript.<br>Please also see https://github.com/grandey/p17d-sulphur-eas-eqm for details of the experimental design, model configuration, data management, and analysis.<br><b>Input data (<i>input_data_p17d.tar.gz</i>)</b><i>input_data_p17d.tar.gz</i>, a tar archive, contains the modified emissions data files for the simulations.<br>The scripts used to generate these files can be viewed at https://github.com/grandey/p17d-sulphur-eas-eqm/tree/master/input_data_p17d.<br><b>Output data (<i>p17d_*.nc</i>)</b>The <i>p17d_*.nc</i> NetCDF files contain a subset of the output data from the simulations. These data have been converted to time-series format using PyReshaper, as described in https://github.com/grandey/p17d-sulphur-eas-eqm/blob/master/data_management.org.<br>The file naming convention is as follows:<i>[SIMULATION].cam.h0.[VARIABLE].nc</i>where1. <i>[SIMULATION]</i> refers to a simulation casename (e.g. "p17d_b_2000"; see https://github.com/grandey/p17d-sulphur-eas-eqm/blob/master/experimental_design.org);3. <i>[VARIABLE] </i>refers to a specific variable code (e.g. "TS" is surface temperature).<br>For an example of how these data can be used, see https://github.com/grandey/p17d-sulphur-eas-eqm/tree/master/analysis_draft2018a.<br><b>NetCDF (.nc) file format</b>Most of the data files are in NetCDF format, a binary data format commonly used for climate model input and output data. These NetCDF files contain metadata which aid interpretation of the data. For example, the metadata contain a description of each output variable. The metadata and data can be explored using the free Panoply software tool (https://www.giss.nasa.gov/tools/panoply/ [accessed 2-April-2018]).<br><b>File size warning</b>Many of the NetCDF files are relatively large.<br><b>Contributors</b>B. S. Grandey, L. K. Yeo, H.-H. Lee, and C. Wang have all contributed to this project, as described in the author contribution statement of <i>"The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia"</i>.<br><b>Acknowledgements</b>This research is supported by the National Research Foundation of Singapore under its Campus for Research Excellence and Technological Enterprise programme. The Center for Environmental Sensing and Modeling is an interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology. This research is also supported by the U.S. National Science Foundation (AGS-1339264) and the U.S. Department of Energy, Office of Science (DE-FG02-94ER61937). The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. We acknowledge high-performance computing support from Cheyenne (doi:10.5065/D6RX99HX) provided by NCAR’s Computational and Information Systems Laboratory, sponsored by the National Science Foundation.<br><br><b>Primary reference</b>B. S. Grandey, L. K. Yeo, H.-H. Lee, and C. Wang (2018), <b>The Equilibrium Climate Response to Sulfur Dioxide and Carbonaceous Aerosol Emissions from East and Southeast Asia</b>, <i>Geophysical Research Letters</i>, https://doi.org/10.1029/2018GL080127.<br>