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 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 6h values of the variables. ECHAM4/OPYC3 (http://ipcc-data.org/gcm/models/tar/echam4opyc3.html ). 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 periode 1860 to 1990.

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 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(https://www.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 6h values of the variables. ECHAM4/OPYC3 (https://www.ipcc-data.org/gcm/models/tar/echam4opyc3.html ). 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 periode 1860 to 1990.