The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A2 storyline describes a very heterogeneous world with the underlying theme of self-reliance and preservation of local identities. It results in this scenario a continous increasing population together with a slower economic growth and technological change. The Hadley Centre Circulation Model is a 3-dim AOGCM described by (Gordon et al., 2000 and Pope et al., 2000). The atmospheric component has a 19 levels horizontal resolution, comparable with spectral resolution of T42, while the ocean component has a 20 levels resolution. HADCM3(http://www.metoffice.gov.uk/research/modelling-systems/unified-model/climate-models/hadcm3 ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. These data belongs to a set of three ensemble runs, with the HADCM3-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC. HadCM3_SRES_A2b and HadCM3_SRES_A2c follow the same experimental design and historical plus future forcings as HadCM3_SRES_A2 (Johns et al. 2003) but starting from initial conditions taken respectively 100 years and 200 years further into the HadCM3 control simulation.
Johns, Tim C.; Gregory, Jonathan M.; Ingram, W.J.; Johnson, C.E.; Jones, A.; Lowe, Jason A.; Mitchell, John; Roberts, D.L.; Sexton, D.M.; Stevenson, D.S.; Tett, S.F.; Woodage, M.J. (2005). IPCC-DDC_HADCM3_SRES_A2c: 240 YEARS MONTHLY MEANS Hadley Centre for Climate Prediction and Research - UK Met Office. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.1594/WDCC/HADCM3_SRES_A2c
[1] DOIJohns, T. C.; Gregory, J. M.; Ingram, W. J.; Johnson, C. E.; Jones, A.; Lowe, J. A.; Mitchell, J. F. B.; Roberts, D. L.; Sexton, D. M. H.; Stevenson, D. S.; Tett, S. F. B.; Woodage, M. J. (2004). Anthropogenic climate change for 1860 to 2100 simulated with the HadCM3 model under updated emissions scenarios. doi:10.1007/s00382-002-0296-y