| Summary: | 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 ...
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