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 sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The atmospheric component AGCM2 is a spectral model with triangular truncation at wave no. 32 and 10 vertical levels. The ocean model component based on the GFDL MOM 1.1 code with 29 vertical levels and has a iospycnal / eddy stirring parameterization (Gent and McWilliams,1990). CGCM2 (http://ec.gc.ca/ccmac-cccma/default.asp?lang=En&n=40D6024E-1 ). 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 CCCma-model, using the SRES_B2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC.

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 atmospheric component AGCM2 is a spectral model with triangular truncation at wave no. 32 and 10 vertical levels. The ocean model component based on the GFDL MOM 1.1 code with 29 vertical levels and has a isopycnal / eddy stirring parameterization (Gent and McWilliams, 1990). CGCM2 (http://ec.gc.ca/ccmac-cccma/default.asp?lang=En&n=40D6024E-1 ). 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 CCCma-model, using the SRES_A2 scenario. They provide monthly averaged values of selected variables for the IPCC-DDC.

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 sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with an R21 horizontal resolution and the ocean component which was based on the GFDL code. M2CSIRO (http://www.cmar.csiro.au/e-print/open/hennessy_1998a.html#ccm ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.

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 sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. The atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1. The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.

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.

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 atmospheric component solves the primitive equations using a spectral transform method, GFDL_R30 means a rhomboidal 30 truncation and the ocean component solves the primitive equation of motion using the Boussinesq, rigid-lid and hydrostatic approximation and based on GFDL Modular Ocean Model version 1. The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.

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 sustainability. The global population is increasing at a lower rate than A2. It has an intermediate level of economic development and a less rapid and more diverse technological change than in A1 and B1. 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.

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.

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.