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 model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmosphere component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html). This data set is an enlargement of the IPCC data set and provides additionel meteorological parameters. The run produces monthly averaged values of the variabeles. Changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment "EH4OPYC_22723GSDIO") which has been run with observed conditions for the time period 1860-1990.

The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B2 storyline describes a world in which the emphasis is on local solutions to economic, social and enviromental sustainbility. The global population is increasing at a lower rate than A2. It has a intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The model consists of the atmospheric component which based on the weather forecast model of ECMWF. The atmospheric component is the standard model version of a 19-level hybrid sigma-pressure coordinate system. The ocean component is a model which computes with isopycnal coordinates. ECHAM4/OPYC3(http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). This data set is an enlargement of the IPCC data set and provides additional meteorological parameters. The run produces monthly averaged values of the variabeles. Changes of anthropogenic smissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario. The model run starts in 1990 from the results of the scenario run GSDIO (Experiment "EH4OPYC_22723GSDIO") which has been run with observed conditions for the time period 1860-1990.

MPI-ESM1-2-LR’s CMIP6 CovidMIP baseline simulations are based on simulations forced with CO2 emissions allowing interactive carbon cycle. The baseline simulations (ssp245-cov-baseline, publish here) is a reference to the CovidMIP simulations (ssp245-covid, ssp245-cov-fossil, ssp245-cov-strgreen, and ssp245-cov-modgreen, published under CMIP6 CovidMIP) to investigate the effects of COVID-19 induced emission reductions on global carbon cycle, climate change and feedbacks. As presented in Jones et al. (2021), the radiative and climate responses of MPI-ESM1-2-LR are within the range of multi-model simulation results. have 10 ensemble members of the simulation named from r1i1p1f99 to r10i1p1f99. Here f99 is used in the file name *r*i1p1f99* of all CovidMIP simulations because of the updated aerosol forcing (Fiedler et al. 2021). Fiedler, S.; Wyser, K.; Rogelj, J. & van Noije, T. (2021): Radiative effects of reduced aerosol emissions during the COVID-19 pandemic and the future recovery, Atmospheric Research, 264, 105866, https://doi.org/10.1016/j.atmosres.2021.105866 Jones, C. D., Hickman, J. E., Rumbold, S. T., Walton, J., Lamboll, R. D., Skeie, R. B., ... & Ziehn, T. (2021). The climate response to emissions reductions due to COVID‐19: Initial results from CovidMIP. Geophysical research letters, 48(8), e2020GL091883.