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.

IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 1*CO2 of Deutsches Klimarechenzentrum. Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the present-day reference decade 1971-1980. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report. Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04100/atm_d

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 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. 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 af 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.

IPCC-AR3 LUGANO T106 TIME-SLICE INTEGRATION 2*CO2 of Deutsches Klimarechenzentrum Based on the greenhouse gas experiment (GHG) which used the modified scenario IS92a ("IS95a"), two 10 year periods were re-calculated with the higher horizontal resolution (appr. 110 km grid spacing) version (T106) of the ECHAM4 model. The stand-alone atmosphere model was used. The integrations were performed with transient forcing while the results were corrected by the model drift. The drift has been determined from the corresponding control run periods. SSTs have been taken from the Experiment EH4OPYC_22670GHG_MM and the AMIP climatology: SST_NEW(m,y)=(SST_CLIM(m)+SST_T42(m,y))*M+TS_T42(m)*(1-M) with m=1,12 and n=1,10 and M=land-sea mask(sea:1, land:0) This experiment contains results from the decade of CO2 equivalent doubling decade 2041-2050 in the IS92A scenario. Trace gas concentrations were hardcoded as 10-years means in the model. These experiments were calculated on a NEC SX4 in the swiss supercomputer center (CSCS) in Mano near Lugano. The data are used for the third assessment report. Model_raw_data location: schauer.dkrz.de://pf/k/k204026/k204004/04101/atm_d

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 purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the Last Glacial Inception (LGI) at 115000 years before present(End of the Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 265 ppmV CO2, 0.52 ppmV CH4 and 270 ppbV N2O. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0414; Obliquity: 22.41; Perihelion: 290.9 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model(ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6(hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D.; run a15), started with Levitus climatology. ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP; run a16), started with Levitus climatology.

The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the climate of the Last Interglacial (LIG) at 125000 years before present (Eemian). Boundary conditions are the same as in the preindustrial control run (ECHOG_A15_PRI), apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 270ppmV CO2, 0.63 ppmV CH4 and 260 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.04; Obliquity: 23.79; Precession: 127.3. The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A15_PRI preindustrial control run (ca. 1800 A.D., DEKLIM-EEM project), started with Levitus climatology, monthly mean values.

The purpose of the project DEKLIM-EEM is to reconstruct past interglacials based on proxy data and to understand the processes that are responsible for climatic changes during these interglacials by applying climate models. The data represent monthly average value of a simulation of the preindustrial climate (PRI) at around 1800 yr AD. Boundary conditions are equivalent to the other simulations of the project, apart from the concentration of greenhouse gases and orbital parameters: Greenhouse gas concentrations are derived from vostok ice core data: 280 ppmV CO2, 0.70 ppmV CH4 and 265 ppbV N2O. CFCs are set to zero. Orbital parameters have been calculated with the routine of Berger (1978): Eccentricity: 0.0167; Obliquity: 23.44; Perihelion: 282.7 The simulation has been started with the Levitus ocean climatology. ECHO-G is used as climate model. It is a coupled atmosphere/ocean model (ECHAM4_T30 + HOPE-E_T42er). The simulation was run on a NEC-SX6 (hurrikan). Atmospheric data were originally stored by the model every 12 hours. Ocean data is stored every month. As the boundary conditions are not time dependent, the time access is arbitrary. Related experiments: - ECHOG_A16_LIG control run, last interglacial (Eemian, 125 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values - ECHOG_A40_LGI: control run, last glacial inception (End of the Eemian, 115 kyrBP, DEKLIM-EEM project), started with Levitus climatology, monthly mean values.

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.

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 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. 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 af 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.