Data for "Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG compared to default CAM5.3"

• Main Author: Grandey, Benjamin S.
• Format: Dataset
• Language: unknown
• Published: figshare 2017
• Subjects: Atmospheric Sciences; FOS Earth and related environmental sciences; 40101 Atmospheric Aerosols; 40103 Atmospheric Radiation; Climate Science; 40104 Climate Change Processes; Sea ice
• Online Access: https://dx.doi.org/10.6084/m9.figshare.5687812.v1; https://figshare.com/articles/Data_for_Effective_radiative_forcing_in_the_aerosol-climate_model_CAM5_3-MARC-ARG_compared_to_default_CAM5_3_/5687812/1

Introduction: These data accompany the manuscript titled "Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG compared to default CAM5.3" by B. S. Grandey, D. Rothenberg, A. Avramov, Q. Jin, H.-H. Lee, and C. Wang (in preparation). The files contain input data and output data associated with the CESM-CAM5 climate model simulations described in the manuscript. Please also see https://github.com/grandey/p17c-marc-comparison/ for details of the experimental design, model configuration, data management, and analysis. Input data ( input_data_p17c.tar.gz ): input_data_p17c.tar.gz, a tar archive, contains the input data files for the CAM5-MARC-ARG simulations. The tar archive also contains the scripts used to generate the emissions input data files and a readme file. The scripts and readme file can also be viewed via https://github.com/grandey/p17c-marc-comparison/tree/master/input_data_p17c/. Timing data ( output_timing.tar.gz ): output_timing.tar.gz contains timing data files from the timing simulations. For an example of how these data can be used, see https://github.com/grandey/p17c-marc-comparison/blob/master/analysis_draft2017b/timing_table_draft2017b.ipynb Output data ( p17c_*.nc ): The p17c_*.nc NetCDF files contain a subset of the output data from the comparison simulations. These data have been converted to time-series format using PyReshaper, as described in https://github.com/grandey/p17c-marc-comparison/blob/master/manage_data/data_management.org The file naming convention is as follows: [SIMULATION].[HISTORY_FILE_TYPE].[VARIABLE].nc where1. [SIMULATION] refers to a comparison simulation casename (e.g. "p17c_marc_2000"; see https://github.com/grandey/p17c-marc-comparison/blob/master/experimental_design.org); 2. [HISTORY_FILE_TYPE] is either "cam.h0" (monthly atmosphere data), "clm2.h0" (monthly land data), or "cice.h" (monthly sea-ice data); and 3. [VARIABLE] refers to a specific variable code (e.g. "AEROD_v" is aerosol optical depth). For an example of how these data can be used, see analysis_cdo_nco_draft2017b.ipynb and figures_draft2017b.ipynb in https://github.com/grandey/p17c-marc-comparison/tree/master/analysis_draft2017b/. NetCDF (.nc) file format: 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 metadeta contain a description of each output variable. The metadata and data can be explored using the free Panoply software tool (http://www.giss.nasa.gov/tools/panoply/ [accessed 11-Dec-2017]). File size warning: Many of the NetCDF files are relatively large. Contributors: B. S. Grandey, D. Rothenberg, A. Avramov, Q. Jin, H.-H. Lee, and C. Wang have all contributed to this project, as described in the author contribution statement of "Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG compared to default CAM5.3". Acknowledgements: 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). We would like to 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. We would like to thank Zheng Lu and Xiaohong Liu for advice about model configuration, especially MAM7. Primary reference: "Effective radiative forcing in the aerosol-climate model CAM5.3-MARC-ARG compared to default CAM5.3" by B. S. Grandey, D. Rothenberg, A. Avramov, Q. Jin, H.-H. Lee, and C. Wang (in preparation).