Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"

Introduction These files contain output data from CESM-CAM5 climate model simulations. The simulations are described in "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas" by Benjamin S. Grandey, Haiwen Cheng, and Chien Wang (2016), Journal...

Full description

Bibliographic Details
Main Author: Grandey, Benjamin S.
Format: Dataset
Language:unknown
Published: figshare 2016
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.2067084
https://figshare.com/articles/dataset/Data_for_Transient_climate_impacts_for_scenarios_of_aerosol_emissions_from_Asia_a_story_of_coal_versus_gas_/2067084
id ftdatacite:10.6084/m9.figshare.2067084
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Atmospheric Sciences
FOS Earth and related environmental sciences
40101 Atmospheric Aerosols
40102 Atmospheric Dynamics
40103 Atmospheric Radiation
Climate Science
spellingShingle Atmospheric Sciences
FOS Earth and related environmental sciences
40101 Atmospheric Aerosols
40102 Atmospheric Dynamics
40103 Atmospheric Radiation
Climate Science
Grandey, Benjamin S.
Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
topic_facet Atmospheric Sciences
FOS Earth and related environmental sciences
40101 Atmospheric Aerosols
40102 Atmospheric Dynamics
40103 Atmospheric Radiation
Climate Science
description Introduction These files contain output data from CESM-CAM5 climate model simulations. The simulations are described in "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas" by Benjamin S. Grandey, Haiwen Cheng, and Chien Wang (2016), Journal of Climate, doi:10.1175/JCLI-D-15-0555.1. Please refer to the manuscript for details. File size warning These files are relatively large, with a total combined size of 2.5GB. NetCDF file format All files have been compressed using gzip. After unzipping, all files will end with ".nc", 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/ [25-Jan-2016]). File list The eight files contain a subset of the output data from the CESM-CAM5 simulations described in the manuscript mentioned above:- R45_*.nc.gz - output data for transient scenario RCP4.5, for three different initial conditions ( f1 , h1 , h2 ).- A2x_*.nc.gz - output data for transient scenario A2x.- pR45.nc.gz - output data for prescribed-SST simulation pRCP4.5.- pA2x.nc.gz - output data for prescribed-SST simulation pA2x. Variable list All eight output data files contain the following data: - AEROD_v - aerosol optical depth. - OMEGA500 - vertical velocity at 500hPa. - PRECT - total precipitation rate.- TS - surface temperature.- U10 - windspeed at 10m.- U925 - zonal wind at 925hPa.- V 925 - meridional wind at 925hPa. The six output files for the two transient scenarios also contain the following variable: - cIceF - sea-ice fraction. The two prescribed-SST simulation output data files also contain radiative fluxes for diagnosis of radiative flux perturbations (RFPs). If pA2x-pRCP4.5 differences are calculated, these flux variables correspond to the following RFP differences:- cFNTOA - total net RFP difference.- FSNTOA - total shortwave RFP difference.- cDRE - direct effect shortwave RFP difference.- FSNTOAC_d1 - surface albedo shortwave RFP difference.- SWCF_d1 - cloud shortwave RFP difference.- LWCF_d1 - cloud longwave RFP difference. Acknowledgments This research was supported by the National Research Foundation Singapore through the Singapore-MIT Alliance for Research and Technology's Center for Environmental Sensing and Modeling interdisciplinary research program. Haiwen Cheng was supported through a Singapore-MIT Undergraduate Research Fellowship (SMURF). 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. The authors thank Phil Rasch, Balwinder Singh, and Jin-Ho Yoon who provided initial conditions data and provided advice on the RCP4.5 model configuration. Primary reference Grandey, B. S., H. Cheng and C. Wang (2016), Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas , Journal of Climate, doi:10.1175/JCLI-D-15-0555.1
format Dataset
author Grandey, Benjamin S.
author_facet Grandey, Benjamin S.
author_sort Grandey, Benjamin S.
title Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
title_short Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
title_full Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
title_fullStr Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
title_full_unstemmed Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas"
title_sort data for "transient climate impacts for scenarios of aerosol emissions from asia: a story of coal versus gas"
publisher figshare
publishDate 2016
url https://dx.doi.org/10.6084/m9.figshare.2067084
https://figshare.com/articles/dataset/Data_for_Transient_climate_impacts_for_scenarios_of_aerosol_emissions_from_Asia_a_story_of_coal_versus_gas_/2067084
genre Sea ice
genre_facet Sea ice
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.2067084
_version_ 1766195858467979264
spelling ftdatacite:10.6084/m9.figshare.2067084 2023-05-15T18:19:02+02:00 Data for "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas" Grandey, Benjamin S. 2016 https://dx.doi.org/10.6084/m9.figshare.2067084 https://figshare.com/articles/dataset/Data_for_Transient_climate_impacts_for_scenarios_of_aerosol_emissions_from_Asia_a_story_of_coal_versus_gas_/2067084 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Atmospheric Sciences FOS Earth and related environmental sciences 40101 Atmospheric Aerosols 40102 Atmospheric Dynamics 40103 Atmospheric Radiation Climate Science dataset Dataset 2016 ftdatacite https://doi.org/10.6084/m9.figshare.2067084 2021-11-05T12:55:41Z Introduction These files contain output data from CESM-CAM5 climate model simulations. The simulations are described in "Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas" by Benjamin S. Grandey, Haiwen Cheng, and Chien Wang (2016), Journal of Climate, doi:10.1175/JCLI-D-15-0555.1. Please refer to the manuscript for details. File size warning These files are relatively large, with a total combined size of 2.5GB. NetCDF file format All files have been compressed using gzip. After unzipping, all files will end with ".nc", 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/ [25-Jan-2016]). File list The eight files contain a subset of the output data from the CESM-CAM5 simulations described in the manuscript mentioned above:- R45_*.nc.gz - output data for transient scenario RCP4.5, for three different initial conditions ( f1 , h1 , h2 ).- A2x_*.nc.gz - output data for transient scenario A2x.- pR45.nc.gz - output data for prescribed-SST simulation pRCP4.5.- pA2x.nc.gz - output data for prescribed-SST simulation pA2x. Variable list All eight output data files contain the following data: - AEROD_v - aerosol optical depth. - OMEGA500 - vertical velocity at 500hPa. - PRECT - total precipitation rate.- TS - surface temperature.- U10 - windspeed at 10m.- U925 - zonal wind at 925hPa.- V 925 - meridional wind at 925hPa. The six output files for the two transient scenarios also contain the following variable: - cIceF - sea-ice fraction. The two prescribed-SST simulation output data files also contain radiative fluxes for diagnosis of radiative flux perturbations (RFPs). If pA2x-pRCP4.5 differences are calculated, these flux variables correspond to the following RFP differences:- cFNTOA - total net RFP difference.- FSNTOA - total shortwave RFP difference.- cDRE - direct effect shortwave RFP difference.- FSNTOAC_d1 - surface albedo shortwave RFP difference.- SWCF_d1 - cloud shortwave RFP difference.- LWCF_d1 - cloud longwave RFP difference. Acknowledgments This research was supported by the National Research Foundation Singapore through the Singapore-MIT Alliance for Research and Technology's Center for Environmental Sensing and Modeling interdisciplinary research program. Haiwen Cheng was supported through a Singapore-MIT Undergraduate Research Fellowship (SMURF). 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. The authors thank Phil Rasch, Balwinder Singh, and Jin-Ho Yoon who provided initial conditions data and provided advice on the RCP4.5 model configuration. Primary reference Grandey, B. S., H. Cheng and C. Wang (2016), Transient climate impacts for scenarios of aerosol emissions from Asia: a story of coal versus gas , Journal of Climate, doi:10.1175/JCLI-D-15-0555.1 Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology)