Regional SO2 removal simulations with HadGEM3-GA4
This dataset contains time-averaged model output from simulations performed with the UK Met Office HadGEM3-GA4 (UM Version 8.2) climate model, investigating the climate response to regional reductions in anthropogenic sulfur dioxide (SO 2 ) emissions. The model configuration and experimental setup a...
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ftzenodo:oai:zenodo.org:1300980 2024-09-15T18:35:35+00:00 Regional SO2 removal simulations with HadGEM3-GA4 Kasoar, Matthew Dilshad Shawki Apostolos Voulgarakis 2018-07-02 https://doi.org/10.5281/zenodo.1300980 unknown Zenodo https://doi.org/10.5281/zenodo.1300979 https://doi.org/10.5281/zenodo.1300980 oai:zenodo.org:1300980 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Climate Modelling info:eu-repo/semantics/other 2018 ftzenodo https://doi.org/10.5281/zenodo.130098010.5281/zenodo.1300979 2024-07-25T14:23:38Z This dataset contains time-averaged model output from simulations performed with the UK Met Office HadGEM3-GA4 (UM Version 8.2) climate model, investigating the climate response to regional reductions in anthropogenic sulfur dioxide (SO 2 ) emissions. The model configuration and experimental setup are described in:Kasoar, M., Shawki D. & Voulgarakis, A. (2018), Similar spatial patterns of global climate response to aerosols from different regions, npj Climate and Atmospheric Science , 1(1), doi: 10.1038/s41612-018-0022-z . An overview of the experimental setup, experiment identifiers and file naming convention for this dataset, is given below. Simulations were performed as 200-year long coupled atmosphere-ocean simulations. The model was run with repeating year-2000 values for aerosol emissions and greenhouse gas concentrations throughout the simulation. The first 50 years were discarded as spin-up, and 150-year annual and seasonal averages calculated over the remaining simulation period. Data is provided as NetCDF files, containing the 150-year means of all the diagnostics that were output from these model runs. Additionally, 26-year long atmosphere-only simulations with prescribed year-2000 sea surface temperatures (SST) and sea ice concentrations were also performed. For these fixed-SST simulations, the first year was discarded as spin-up and the remaining 25 years averaged over. Six 200-year atmosphere-ocean control simulations were carried out to assess internal variability, with different initial atmospheric states but otherwise identical inputs. Only one 26-year fixed-SST control simulation was performed. For both atmosphere-ocean and fixed-SST setups, a series of perturbation experiments were then carried out in which SO 2 emissions were set up zero over a particular region of the world, while being kept the same as in the control runs elsewhere. Each SO 2 removal experiment was run with one simulation for atmosphere-ocean and fixed-SST setups. File naming convention: [JOBID]_[number of years ... Other/Unknown Material Sea ice Zenodo |
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Climate Modelling Kasoar, Matthew Dilshad Shawki Apostolos Voulgarakis Regional SO2 removal simulations with HadGEM3-GA4 |
topic_facet |
Climate Modelling |
description |
This dataset contains time-averaged model output from simulations performed with the UK Met Office HadGEM3-GA4 (UM Version 8.2) climate model, investigating the climate response to regional reductions in anthropogenic sulfur dioxide (SO 2 ) emissions. The model configuration and experimental setup are described in:Kasoar, M., Shawki D. & Voulgarakis, A. (2018), Similar spatial patterns of global climate response to aerosols from different regions, npj Climate and Atmospheric Science , 1(1), doi: 10.1038/s41612-018-0022-z . An overview of the experimental setup, experiment identifiers and file naming convention for this dataset, is given below. Simulations were performed as 200-year long coupled atmosphere-ocean simulations. The model was run with repeating year-2000 values for aerosol emissions and greenhouse gas concentrations throughout the simulation. The first 50 years were discarded as spin-up, and 150-year annual and seasonal averages calculated over the remaining simulation period. Data is provided as NetCDF files, containing the 150-year means of all the diagnostics that were output from these model runs. Additionally, 26-year long atmosphere-only simulations with prescribed year-2000 sea surface temperatures (SST) and sea ice concentrations were also performed. For these fixed-SST simulations, the first year was discarded as spin-up and the remaining 25 years averaged over. Six 200-year atmosphere-ocean control simulations were carried out to assess internal variability, with different initial atmospheric states but otherwise identical inputs. Only one 26-year fixed-SST control simulation was performed. For both atmosphere-ocean and fixed-SST setups, a series of perturbation experiments were then carried out in which SO 2 emissions were set up zero over a particular region of the world, while being kept the same as in the control runs elsewhere. Each SO 2 removal experiment was run with one simulation for atmosphere-ocean and fixed-SST setups. File naming convention: [JOBID]_[number of years ... |
format |
Other/Unknown Material |
author |
Kasoar, Matthew Dilshad Shawki Apostolos Voulgarakis |
author_facet |
Kasoar, Matthew Dilshad Shawki Apostolos Voulgarakis |
author_sort |
Kasoar, Matthew |
title |
Regional SO2 removal simulations with HadGEM3-GA4 |
title_short |
Regional SO2 removal simulations with HadGEM3-GA4 |
title_full |
Regional SO2 removal simulations with HadGEM3-GA4 |
title_fullStr |
Regional SO2 removal simulations with HadGEM3-GA4 |
title_full_unstemmed |
Regional SO2 removal simulations with HadGEM3-GA4 |
title_sort |
regional so2 removal simulations with hadgem3-ga4 |
publisher |
Zenodo |
publishDate |
2018 |
url |
https://doi.org/10.5281/zenodo.1300980 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://doi.org/10.5281/zenodo.1300979 https://doi.org/10.5281/zenodo.1300980 oai:zenodo.org:1300980 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.130098010.5281/zenodo.1300979 |
_version_ |
1810478784844922880 |