DOI: 10.6084/m9.figshare.3497705.v3
title: Data for "Radiative effects of inter-annually varying versus inter-annually invariant aerosol emissions from fires"

description: <b>Introduction:</b> These files contain CESM-CAM5 climate model emissions and output data. The simulations are described in <i>"</i><i>Radiative effects of inter-annually varying versus inter-annually invariant aerosol emissions from fires"</i> by B. S. Grandey, H.-H. Lee, and C. Wang, <i>Atmos. Chem. Phys. Discuss.</i>, doi:10.5194/acp-2016-599. Please refer to the manuscript for details. <b>File size warning:</b> These files are relatively large.<b>NetCDF file format:</b>The files have been compressed using gzip. After unzipping, the files will end with ".nc", the extension for 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. The metadata and data can be explored using the free Panoply software tool (http://www.giss.nasa.gov/tools/panoply/ [25-July-2016]). <b>Output data files (bb*_o2000.nc.gz):</b>The 15 gzipped NetCDF files (bb*_o2000.nc.gz) contain data derived from the output files of the prescribed-SST simulations described by Grandey et al. (2016):- <i>bb0_o2000</i> corresponds to simulation F0.- <i>bb1997_o2000</i> corresponds to simulation F1997, <i>bb1998_o2000</i> corresponds to simulation F1998 etc.. These ten simulations are referred to as the {Fyyyy} ensemble.- <i>bb9706_o2000</i> corresponds to simulation FMEAN.- <i>bc9706_o2000</i> corresponds to simulation BMEAN.- <i>oc9706_o2000</i> corresponds to simulation OMEAN.- <i>so9706_o2000</i> corresponds to simulation SMEAN. <b>Output data variables:</b>The output data files contain the following variables analysed by Grandey et al. (2016):- cFNTOA - total net (shortwave plus longwave) top-of-atmosphere flux, used to calculate total net RFP differences.- <i>SWCF_d1</i> - clean-sky shortwave cloud forcing, used to calculate cloud shortwave RFP differences.- <i>LWCF_d1</i> - clean-sky longwave cloud forcing, used to calculate cloud longwave RFP differences.- <i>cDRE </i>- solar flux minus clean-sky solar flux, used to calculate direct effect RFP.- <i>FSNTOAC_d1 - </i>clean-sky clear-sky solar flux, used to calculate surface albedo RFP.- <i>PRECL</i> - large-scale precipitation rate.- <i>PRECC</i> - convective precipitation rate.- <i>cPRECT</i> - total precipitation rate.- <i>pom_a1_SRF</i> - surface organic carbon concentration.- <i>CLDHGH</i> - high cloud fraction.- <i>TGCLDIWP</i> - grid-box-average ice water path.<b>Emissions files (emissions_mam3.tar.gz):</b><i>emissions_mam3.tar.gz</i> contains a folder of the modified MAM3 emissions files used to drive the 15 simulations (see "Output data files" above). In addition to the emissions files, the folder also contains the <i>user_nl_cam</i> namelist files used to configure the CAM5 model. The <i>user_nl_cam</i> files (which are in plain text format) show which emissions files were to used to drive each simulation. The <i>user_nl_cam</i> files also refer to standard CESM-CAM5-MAM3 emissions files (not included here).<b>Contributions:</b> B.S.G. designed the experiment, performed the simulations, analysed the data, and wrote the manuscript (Grandey et al., ACPD, 2016). H.H.L. and C.W. contributed to the experimental design, analysis methodology, and redrafting of the manuscript.<b>Acknowledgements:</b>This research was supported by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme. The Center for Environmental Sensing and Modeling (CENSAM) is an interdisciplinary research group (IRG) of the Singapore-MIT Alliance for Research and Technology (SMART) centre. This research was also supported by the U.S. National Science Foundation (AGS-1339264), U.S. DOE (DE-FG02-94ER61937), and U.S. EPA (XA-83600001-1). The CESM project is supported by the U.S. National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. The GFED 4.0s dry matter emission data and emissions factors were downloaded from http://www.globalfiredata.org.<b>Primary reference:</b>Grandey, B. S., H.-H. Lee, and C. Wang (2016), <i>"</i><i>Radiative effects of inter-annually varying versus inter-annually invariant aerosol emissions from fires",</i> Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-599.