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  • Data  (57,309)
  • 2000-2004  (56,686)
  • 1980-1984  (623)
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  • 1
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 2
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run010
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run013
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 5
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 6
    Publication Date: 2022-04-25
    Description: 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 developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ). . The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 7
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    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 8
    Publication Date: 2022-04-25
    Description: 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
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 9
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of a simulation, initialized in the same year as experimnet 20C_3, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run008
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 10
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation, initialized in the same year as experimnet 20C_3, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run008
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 11
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of a 20th century simulation (including year 2000)with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of year 2000. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run524 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_2 changed to 20C_3)
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 12
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of a 20th century simulation (including year 2000) with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2190 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of year 2000. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run009 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_0 changed to 20C_1)
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 13
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 14
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run224
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 15
    Publication Date: 2022-04-25
    Description: The data represent 6 hours values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run011
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 16
    facet.materialart.
    Unknown
    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 17
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 18
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run012
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 19
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run013
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 20
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run015
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 21
    facet.materialart.
    Unknown
    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 22
    facet.materialart.
    Unknown
    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 23
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 24
    Publication Date: 2022-04-25
    Description: 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 developed by the Center for Climate System Resaerch/National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 25
    Publication Date: 2022-04-25
    Description: 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
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 26
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The B1 scenario describes a storyline with rapid change in economic structures toward a service and information economy, with reductions in material intensity and the introduction of clean and resource-efficient technologies. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to B1. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run011
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 27
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 28
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B1 storyline describes a global population similar to A1 but with rapid change in economic structure toward a service and information economy, with reduction in material intensity and the introduction of clean and resource efficient technologies. The model developed by the Center for Climate System Resaerch/ National Institute for Enviromental Studies in Tokyo consists of the atmospheric component which has vertical resolution of 20 levels and the triangular truncation at wavenumber 21 (T21). The ocean model has 17 vertical levels and the same resolution. ) The changes of anthropogenic emissions of CO2, CH4, N2O and sulphur dioxide are prescribed according to the above mentioned scenario.
    Type: experiment
    Format: GRIB
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  • 29
    Publication Date: 2022-04-25
    Description: The new version of the Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data set - HOAPS II - contains improved global fields of precipitation and evaporation over the oceans and all basic state variables needed for the derivation of the turbulent fluxes. Except for the NOAA Pathfinder SST data set, all variables are derived from SSM/I satellite data over the ice free oceans between 1987 and 2002. The earlier HOAPS version was improved and includes now the utilisation of multi-satellite averages with proper inter-satellite calibration, improved algorithms and a new ice detection procedure, resulting in more homogeneous and reliable spatial and temporal fields as before. The spatial resolution of 0.5 degree, makes them ideally suited for studies of climate variability over the global oceans. Pentade and climatological means are also public and available via the CERA database system. Further information under : http://www.hoaps.zmaw.de .
    Type: experiment
    Format: NetCDF
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  • 30
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run010
    Type: experiment
    Format: GRIB
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  • 31
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2200 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run012
    Type: experiment
    Format: GRIB
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  • 32
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run225
    Type: experiment
    Format: GRIB
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  • 33
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with monthly average values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run016
    Type: experiment
    Format: GRIB
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  • 34
    Publication Date: 2022-04-25
    Description: The data represent 6 hours values of a simulation of an annual increase of 1%,starting in 1931, until CO2 quadrupling. In the year 2001 the CO2 concentration were held constant. The simulation is a continuation of the 1CO2_2-run and was run on a NEC-SX6 (hurrikan), the output from the model run is stored in : hurrikan.dkrz.de:/ut/k/k204098/EXP000/run017 Datasets with monthly mean values are also available.
    Type: experiment
    Format: GRIB
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  • 35
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation of an annual increase of 1%,starting in 1931, until CO2 quadrupling. In the year 2001 the CO2 concentration were held constant. The simulation is a continuation of the 1CO2_2-run and was run on a NEC-SX6 (hurrikan), the output from the model run is stored in : hurrikan.dkrz.de:/ut/k/k204098/EXP000/run017 Datasets with higher resolution (6 hour mean) are also available.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
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  • 36
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_1 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204098/EXP000/run015
    Type: experiment
    Format: GRIB
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  • 37
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_3 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204097/EXP000/run016
    Type: experiment
    Format: GRIB
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  • 38
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A2 scenario describes an economic development which is primarily regionally oriented and the technical change is more fragmented and slower than in the other SRES storylines. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A2. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run225
    Type: experiment
    Format: GRIB
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  • 39
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
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  • 40
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_A1 storyline describes a future world of very rapid economic growth, global population that peaks in mid-century and declines thereafter and the rapid introduction of new and more efficient technologies. It is distinguished by their technological emphasis: A1FI: fossil intensiv, A1T : non-fossil energy sources and A1B : a balance across all sources. The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a R21 horizontal resolution and the ocean component which was based on the GFDL code. Mark2_CSIRO (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.
    Type: experiment
    Format: GRIB
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  • 41
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation, initialized in the same year as experimnet 20C_1, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run522
    Type: experiment
    Format: GRIB
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  • 42
    Publication Date: 2022-04-25
    Description: The data represent monthly avarage values of a simulation, initialized in the same year as experimnet 20C_2, with an annual CO2 increase of 1% until doubling in 1930. Between 1931 and 2080 the CO2 concentration was held constant. All other concentrations remain at their preindustrial levels (nominally year 1860). Data with higher resolution (6 hourly) are also available Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run007
    Type: experiment
    Format: GRIB
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  • 43
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of a 20th century simulation (including year 2000) with observed anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2215 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of year 2000. Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run523 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_1 changed to 20C_2)
    Type: experiment
    Format: GRIB
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  • 44
    Publication Date: 2022-04-25
    Description: 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 Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 45
    Publication Date: 2022-04-25
    Description: The SRES data sets were published by the IPCC in 2000 and classified into four different scenario families (A1, A2, B1, B2). SRES_B1 storyline describes a global population similar to A1 but with rapid change in economic structure toward a service and information economy, with reduction in material intensity and the introduction of clean and resource efficient technologies. The Mark 2 CSIRO coupled global climate model consists of the atmospheric component which has 9 vertical levels with a 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.
    Type: experiment
    Format: GRIB
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 46
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
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  • 47
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    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
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  • 48
    facet.materialart.
    Unknown
    WDCC
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
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  • 49
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of a 20th century simulation (including year 2000) with observed anthropogenic forcings(CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2240 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of the year 2000. Data Sets with monthly mean values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/m/m214002/EXP500/run524 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_2 changed to 20C_3)
    Type: experiment
    Format: GRIB
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  • 50
    Publication Date: 2022-04-25
    Description: The data represent 6 hourly values of a 20th century simulation (including year 2000) with observed anthropogenic forcings(CO2, CH4, N2O, CFCs, O3 and sulfate) initialized in year 2190 of the preindustrial control run. This is followed by a commitment experiment for the 21th century (years 2001-2100) with all concentrations fixed at their levels of the year 2000. Data Sets with monthly mean values are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupeld to MPI-OM Vers. 1.0 GR1.5L40 The output from the model run: hurrikan.dkrz.de:/ut/k/k204076/EXP000/run009 Please note: experiment_name/acronym was renamed (27-JUN-2005, 20C_0 changed to 20C_1)
    Type: experiment
    Format: GRIB
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  • 51
    Publication Date: 2022-04-25
    Description: 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.
    Type: experiment
    Format: GRIB
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  • 52
    Publication Date: 2022-04-25
    Description: The new version of the Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data set - HOAPS II - contains improved global fields of precipitation and evaporation over the oceans and all basic state variables needed for the derivation of the turbulent fluxes. Except for the NOAA Pathfinder SST data set, all variables are derived from SSM/I satellite data over the ice free oceans between 1987 and 2002. The earlier HOAPS version was improved and includes now the utilisation of multi-satellite averages with proper inter-satellite calibration, improved algorithms and a new ice detection procedure, resulting in more homogeneous and reliable spatial and temporal fields as before. Here, 5-days mean( Pentad )datasets are available but monthly mean and climatological means are also public and available via the CERA database system. The spatial resolution of 0.5 degree, makes them ideally suited for studies of climate variability over the global oceans. Further information under : http://www.hoaps.zmaw.de .
    Type: experiment
    Format: NetCDF
    Location Call Number Expected Availability
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  • 53
    Publication Date: 2022-04-25
    Description: The data represent monthly average values of selected variables for the Data Distribution Centre (DDC) of the Intergovermental Panel on Climate Change (IPCC). (see also: http://ipcc-ddc.cru.uea.ac.uk) The A1B scenario is the part of the A1 family which describes a balance across all energy sources. The experiment has been initialized in year 2000 of the 20C_2 run and continues until year 2100 with anthropogenic forcings (CO2, CH4, N2O, CFCs, O3 and sulfate) according to A1B. The experiment is extended until year 2300 with all concentrations fixed at their levels of year 2100 (stabilization experiment). Datasets with higher resolution (6 hourly) are also available. Technical data to this experiment: The experiment is using ECHAM5.2.02a coupled to MPI-OM Vers. 1.0 GR1.5L40 and was run on a NEC-SX (hurrikan). The output from the model run: hurrikan.dkrz.de: /ut/k/k204096/EXP200/run223
    Type: experiment
    Format: GRIB
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  • 54
    Publication Date: 2023-02-08
    Description: Abstract
    Description: The Institute of Seismology, University of Helsinki (ISUH) was founded in 1961 as a response to the growing public concern for environmental hazards caused by nuclear weapon testing. Since then ISUH has been responsible for seismic monitoring in Finland. The current mandate covers government regulator duties in seismic hazard mitigation and nuclear test ban treaty verification, observatory activities and operation of the Finnish National Seismic Network (FNSN) as well as research and teaching of seismology at the University of Helsinki.The first seismograph station of Finland was installed at the premises of the Department of Physics, University of Helsinki in 1924. However, the mechanical Mainka seismographs had low magnification and thus the recordings were of little practical value for the study of local seismicity. The first short-period seismographs were set up between 1956 and 1963. The next significant upgrade of FNSN occurred during the late 1970’s when digital tripartite arrays in southern and central Finland became fully operational, allowing for systematic use of instrumental detection, location and magnitude determination methods. By the end of the 1990’s, the entire network was operating using digital telemetric or dial-up methods. The FNSN has expanded significantly during the 21st Century. It comprises now 36 permanent stations. Most of the stations have Streckeisen STS-2, Nanometrics Trillium (Compact/P/PA/QA) or Guralp CMG-3T broad band sensors. Some Teledyne-Geotech S13/GS13 short period sensors are also in use. Data acquisition systems are a combination of Earth Data PS6-24 digitizers and PC with Seiscomp/Seedlink software or Nanometrics Centaurs. The stations are connected to the ISUH with Seedlink via Internet and provide continuous waveform data at 40 Hz (array) or 100-250 Hz sampling frequency. Further information about instrumentation can be found at the Institute’s web site (www.seismo.helsinki.fi). Waveform data are available from the GEOFON data centre, under network code HE, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; induced ; seismic hazard ; broad band ; velocity ; acceleration ; displacement ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 55
    Publication Date: 2023-05-12
    Description: Abstract
    Description: Sodankylä geophysical observatory (SGO) has operated in Sodankylä in northern Finland since 1913. SGO was originally founded by the Finnish Academy of Science and Letters. Now it takes care of national and international duties studying the space and geoenvironment as an independent research organisation in the University of Oulu. SGO performs long-term measurements, builds instruments, innovates and maintains domestic and international measurements, and performs research from these measurements. The seismic observations at SGO started in Sodankylä 1956. In 2005-2006 SGO seismic stations were updated to broadband instrumentation and connected to GEOFON data center. Today, the number of seismic stations has increased to 9. The stations have Streckeisen STS-2 or Nanometrics Trillium PA/PH broadband sensors. 3 of the stations are so called Posthole stations located in borehole 7-20 m below surface. The rest of the stations are located on the surface or in a more traditional type of vault. Data acquisition systems are either Earth Data PS6-24 digitisers and PC with Seiscomp or Nanometrics Centaurs. The continuous wave form data is collected at 100 Hz sampling frequency. The VH, LH and BH channel data is available from GEOFON data center and the 100Hz HH data from SGO by request. Further information about instrumentation can be found at the Institute’s web site (https://www.sgo.fi/). Waveform data are available from the GEOFON data centre, under network code FN, and arefully open.
    Keywords: geophysics ; seismology ; seismic noise ; earthquakes ; induced ; seismic hazard ; broad band ; velocity ; acceleration ; displacement ; Broadband seismic waveforms ; Seismic monitoring ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~300G
    Format: .mseed
    Format: XML
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  • 56
    Publication Date: 2024-04-24
    Description: Abstract
    Description: Understanding the factors leading to large earthquakes in the coupling zone of convergent margins and their interrelation with surface deformation were the main aims of the international and interdisciplinary research initiative TIPTEQ (“From The Incoming Plate To megaThrust EarthQuake Processes”). Between Nov. 2004 and Oct. 2005 we deployed 2 temporary, amphibious seismic arrays in South-Central Chile. In this region the 1960 Mw = 9.5 earthquake nucleated. The northern network between 37° and 39°S was formed by up to 120 digitally recording land stations (equipped with short-period sensors) and 10 Ocean Bottom Seismometers/Hydrophones (OBS/OBH). Waveform data are available from the GEOFON data centre, under network code ZW, and are available under CC-BY 4.0 license according to GIPP-rules.
    Keywords: Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS
    Type: Dataset , Seismic Network
    Format: ~500G
    Format: .mseed
    Format: XML
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  • 57
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    PANGAEA
    Publication Date: 2023-03-16
    Keywords: 200540; 3050/07; 560002; 560009; 564016; 564017; 564024; AB01/94; Age, 14C AMS; Age, dated; Age, dated material; Age, dated standard deviation; Arkona Basin; B5475/01; B5775/01; Counting; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Event label; Ferhmarn Belt; Lithologic unit/sequence; MB01/94; MB02/94; MB03/94; MB11/93; Mecklenburg Bay; Oder Estuary; Quaternary Environment of the Eurasian North; QUEEN; Sample code/label; South of Falster; VC; Vibro corer; δ13C, organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 200 data points
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  • 58
    Publication Date: 2023-03-16
    Keywords: BC; Box corer; Buor Khaya Bay, Laptev Sea; Chaun Bay East Siberian Sea; Chlorite; DEPTH, sediment/rock; Dm. Laptev Srait; East Siberian Sea; ESS10; ESS105; ESS110; ESS128; ESS136; ESS16; ESS162; ESS165; ESS185; ESS192; ESS281; ESS282; ESS284; ESS285; ESS286; ESS288; ESS289; ESS290; ESS291; ESS292; ESS293; ESS295; ESS314; ESS315; ESS316; ESS317; ESS318; ESS320; ESS323; ESS327; ESS328; ESS329; ESS333; ESS334; ESS56; ESS65; ESS74; ESS87; ESS94; Event label; Illite; Kaolinite; Laptev Sea; Latitude of event; Longitude of event; Long Strait; Quaternary Environment of the Eurasian North; QUEEN; QUEEN_Exped; Siberian River Run-Off; SIRRO; Smectite; X-ray diffraction TEXTUR, clay fraction
    Type: Dataset
    Format: text/tab-separated-values, 155 data points
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  • 59
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    PANGAEA
    Publication Date: 2023-03-16
    Keywords: Akademik Boris Petrov; Arsenic; Barium; BP97; BP97-01; BP97-08; BP97-09; BP97-10; BP97-12; BP97-15; BP97-17; BP97-18; BP97-19; BP97-21; BP97-24; BP97-25; BP97-27; BP97-28; BP97-30; BP97-31; BP97-32; BP97-33; BP97-34; BP97-36; BP97-37; BP97-42; BP97-43; BP97-46; BP97-47; BP97-48; BP97-49; BP97-50; BP97-51; BP97-52; BP97-53; BP97-54; BP97-55; BP97-56; BP97-58; BP97-59; Bromine; Chromium; Cobalt; Copper; DEPTH, sediment/rock; DIVERSE; Elevation of event; Event label; Iron; Kara Sea; KaraSea97; Latitude of event; Lead; Longitude of event; Manganese; MULT; Multiple investigations; Nickel; Quaternary Environment of the Eurasian North; QUEEN; Rubidium; Sampling gear, diverse; Siberian River Run-Off; SIRRO; Strontium; Titanium; Vanadium; X-ray fluorescence (XRF); Zinc
    Type: Dataset
    Format: text/tab-separated-values, 540 data points
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  • 60
    Publication Date: 2023-03-16
    Keywords: Age, 14C AMS; Age, 14C calibrated; Age, dated; Age, dated material; Age, dated standard deviation; agedetermination; Beg; Begichev; Ber; Ber_tay; CAGRE98; Chu1; Chukcha; DEPTH, sediment/rock; Event label; LATITUDE; LONGITUDE; Micha; Michailova; Oskar; Oskar1; OUTCROP; Outcrop sample; Pyas1; Pyasina; Quaternary Environment of the Eurasian North; QUEEN; Sample, optional label/labor no; Sample code/label; Sampling on land; Sokol; Sokolinaya; Taymyr_Exped; Taymyr88; Taymyr98
    Type: Dataset
    Format: text/tab-separated-values, 90 data points
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  • 61
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    PANGAEA
    Publication Date: 2023-03-16
    Keywords: AEROS; Aerosol sampler; ALTITUDE; Arctic; Concentration; Date/Time of event; Date/Time of event 2; Event label; Feldspar; Illite; Kaolinite+Chlorite; Latitude of event; Latitude of event 2; Longitude of event; Longitude of event 2; Montmorillonite; PL94; PL94_10air; PL94_11air; PL94_12air; PL94_13air; PL94_14air; PL94_15air; PL94_16air; PL94_17air; PL94_18air; PL94_19air; PL94_1air; PL94_2air; PL94_3air; PL94_4air; PL94_5air; PL94_6air; PL94_7air; PL94_8air; PL94_9air; Professor Logachev; Quartz; Quartz/Feldspar ratio; Quaternary Environment of the Eurasian North; QUEEN; Wind direction; Wind speed; X-ray diffraction (XRD)
    Type: Dataset
    Format: text/tab-separated-values, 157 data points
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  • 62
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    PANGAEA
    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-III/3; AWI_Paleo; Giant box corer; GKG; Halley Bay; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS06/289; PS06 SIBEX; PS1273-1
    Type: Dataset
    Format: unknown
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  • 63
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    PANGAEA
    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-IV/3; Atka Bay; AWI_Paleo; Giant box corer; GKG; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS08; PS08/481; PS1426-1
    Type: Dataset
    Format: unknown
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  • 64
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    PANGAEA
    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-VI/3; AWI_Paleo; Gravity corer (Kiel type); Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS12; PS12/348; PS1611-2; SL; Weddell Sea
    Type: Dataset
    Format: unknown
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  • 65
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    PANGAEA
    In:  Alfred Wegener Institute - Polarstern core repository
    Publication Date: 2023-03-16
    Keywords: ANT-VI/3; AWI_Paleo; MG; Multiboxcorer; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS12; PS12/346; PS1610-4; Weddell Sea
    Type: Dataset
    Format: unknown
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  • 66
    Publication Date: 2023-03-16
    Keywords: Akademik Boris Petrov; AWI_Paleo; BP00; BP00-21; Conductivity; DEPTH, water; Kara Sea; MULT; Multiple investigations; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Quaternary Environment of the Eurasian North; QUEEN; Salinity; Siberian River Run-Off; SIRRO; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 750 data points
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  • 67
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-20-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 68
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-28-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 119 data points
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  • 69
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-40-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 70
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-42-2; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 71
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-44-5; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 72
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-63-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 73
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-64-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 74
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-2-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 75
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-39-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 76
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-41-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 77
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-43-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 120 data points
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  • 78
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Aragonite saturation degree; Calcite saturation degree; Calculated; Carbonate ion; Carbon dioxide, partial pressure; Carbon dioxide, total; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Dihydrogen carbonate; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KOMEX I; LV28; LV28-62-1; Oxygen, apparent utilization; pH; Potentiometric; Salinity; Sea of Okhotsk; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 70 data points
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  • 79
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    PANGAEA
    Publication Date: 2023-03-10
    Keywords: Calculated; Calculated, see reference(s); Carbon, inorganic, particulate, flux; Carbon, organic, particulate, flux; DEPTH, water; Duration, number of days; Element analyser CHN; Lithogenic, flux; Opal, extraction; Mortlock & Froelich, 1989; Opal, flux; Reference/source; SEEP-10; SEEP-10_trap; South Atlantic Ocean; Total, flux per year; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 80
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    PANGAEA
    Publication Date: 2023-03-10
    Keywords: Calculated; Calculated, see reference(s); Carbon, inorganic, particulate, flux; Carbon, organic, particulate, flux; DEPTH, water; Duration, number of days; Element analyser CHN; Lithogenic, flux; Opal, extraction; Mortlock & Froelich, 1989; Opal, flux; Reference/source; SEEP-7; SEEP-7_trap; South Atlantic Ocean; Total, flux per year; Trap, sediment; TRAPS
    Type: Dataset
    Format: text/tab-separated-values, 7 data points
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  • 81
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Chlorine and Bromine; DEPTH, sediment/rock; GE99/KOMEX_VI; GE99-6-3; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; MIC; MiniCorer; Nitrate and Nitrite; Nitrite; pH; Phosphate; Photometry; Potentiometric; Silicate; Temperature, water; Titration; West Kurile basin
    Type: Dataset
    Format: text/tab-separated-values, 133 data points
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  • 82
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Chlorine and Bromine; DEPTH, sediment/rock; GE99/KOMEX_VI; GE99-7-2; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; MIC; MiniCorer; Nitrate and Nitrite; Nitrite; pH; Phosphate; Photometry; Potentiometric; Silicate; Temperature, water; Titration; West Kurile basin
    Type: Dataset
    Format: text/tab-separated-values, 117 data points
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  • 83
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Auto-analyzer; DEPTH, sediment/rock; GE99/KOMEX_VI; GE99-20-2; Giselle flare; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; MIC; MiniCorer; Nitrate and Nitrite; pH; Phosphate; Photometry; Potentiometric; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 84
    Publication Date: 2023-03-14
    Keywords: 30/1TV-G; Alkalinity, total; Ammonium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; HYDROTRACE; Nitrate; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_30-1; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 78 data points
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  • 85
    Publication Date: 2023-03-14
    Keywords: 36/1TV-G; Alkalinity, total; Ammonium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; HYDROTRACE; Nitrate; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_36-1; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 77 data points
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  • 86
    Publication Date: 2023-03-14
    Keywords: 36/2TV-G; Alkalinity, total; Ammonium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; Hydrogen sulfide; HYDROTRACE; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_36-2; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 67 data points
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  • 87
    Publication Date: 2023-03-14
    Keywords: 36/4TV-G; Alkalinity, total; Ammonium; Calcium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; HYDROTRACE; Magnesium; Nitrate; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_36-4; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 95 data points
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  • 88
    Publication Date: 2023-03-14
    Keywords: 36/5TV-G; Alkalinity, total; Ammonium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; HYDROTRACE; Nitrate; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_36-5; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 54 data points
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  • 89
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Auto-analyzer; DEPTH, sediment/rock; GE99/KOMEX_VI; GE99-12-3; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; MUC; MultiCorer; Nitrate and Nitrite; pH; Phosphate; Photometry; Potentiometric; Sakhalin shelf; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 149 data points
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  • 90
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Auto-analyzer; DEPTH, sediment/rock; GE99/KOMEX_VI; GE99-20-3; Giselle flare; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; MIC; MiniCorer; Nitrate and Nitrite; pH; Phosphate; Photometry; Potentiometric; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 30 data points
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  • 91
    Publication Date: 2023-03-14
    Keywords: Alkalinity, total; Ammonium; Auto-analyzer; DEPTH, sediment/rock; GC; GE99; Ge99-29-2; Gravity corer; Hydrogen sulfide; KOMEX; Kurile-Okhotsk Sea Marine Experiment; Marshal Gelovany; Nitrate and Nitrite; Okhotsk Sea; pH; Phosphate; Photometry; Potentiometric; Silicate; Temperature, water; Titration
    Type: Dataset
    Format: text/tab-separated-values, 94 data points
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  • 92
    Publication Date: 2023-03-14
    Keywords: 43/2TVG; Alkalinity, total; Ammonium; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; HYDROTRACE; Nitrate; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_43-2; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 93
    Publication Date: 2023-03-14
    Keywords: 43/1TVG; Alkalinity, total; Continuous Flow Automated Analysis (Gordon et al., 1993, WOCE Tech Rpt 93-1); DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; Hydrogen sulfide; HYDROTRACE; Oregon Vent; pH; Phosphate; Silicate; SO109/1; SO109/1_43-1; Sonne; Spectrophotometry; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
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  • 94
    Publication Date: 2023-03-14
    Keywords: Ammonium; DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KODIAK-VENT; Nitrate; Nitrite; pH; Phosphate; Sample comment; Silicate; SO97/1; SO97/1_22; Sonne; Television-Grab; Titration; TVG
    Type: Dataset
    Format: text/tab-separated-values, 49 data points
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  • 95
    Publication Date: 2023-03-14
    Keywords: Ammonium; Carbon, inorganic, dissolved; DEPTH, sediment/rock; GEOMAR; Helmholtz Centre for Ocean Research Kiel; KODIAK-VENT; Nitrate; Nitrite; pH; Phosphate; Sample comment; Silicate; SO97/1; SO97/1_66; Sonne; Television-Grab; TVG
    Type: Dataset
    Format: text/tab-separated-values, 221 data points
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  • 96
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Carbon dioxide; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Ethane; Gas chromatography; KOMEX; KOMEX I; Kurile-Okhotsk Sea Marine Experiment; LV28; LV28-40-1; Methane; Nitrate; Nitrite; Nitrogen, total dissolved; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Photometry; Potentiometric; Salinity; Sea of Okhotsk; Silicate; Temperature, water, potential; Titration
    Type: Dataset
    Format: text/tab-separated-values, 160 data points
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  • 97
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Carbon dioxide; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Ethane; Gas chromatography; KOMEX; KOMEX I; Kurile-Okhotsk Sea Marine Experiment; LV28; LV28-43-1; Methane; Nitrate; Nitrite; Nitrogen, total dissolved; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Photometry; Potentiometric; Salinity; Sea of Okhotsk; Silicate; Temperature, water, potential; Titration
    Type: Dataset
    Format: text/tab-separated-values, 161 data points
    Location Call Number Expected Availability
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  • 98
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Carbon dioxide; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Gas chromatography; KOMEX; KOMEX I; Kurile-Okhotsk Sea Marine Experiment; LV28; LV28-44-5; Nitrate; Nitrite; Nitrogen, total dissolved; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Photometry; Potentiometric; Salinity; Sea of Okhotsk; Silicate; Temperature, water, potential; Titration
    Type: Dataset
    Format: text/tab-separated-values, 141 data points
    Location Call Number Expected Availability
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  • 99
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Carbon dioxide; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Ethane; Gas chromatography; KOMEX; KOMEX I; Kurile-Okhotsk Sea Marine Experiment; LV28; LV28-11-1; Methane; Nitrate; Nitrite; Nitrogen, total dissolved; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Photometry; Potentiometric; Salinity; Sea of Okhotsk; Silicate; Temperature, water, potential; Titration
    Type: Dataset
    Format: text/tab-separated-values, 144 data points
    Location Call Number Expected Availability
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  • 100
    Publication Date: 2023-03-14
    Keywords: Akademik M.A. Lavrentiev; Alkalinity, total; Ammonium; Auto-analyzer; Calculated; Carbon dioxide; CTD; CTD/Rosette; CTD-RO; DEPTH, water; Ethane; Gas chromatography; KOMEX; KOMEX I; Kurile-Okhotsk Sea Marine Experiment; LV28; LV28-39-1; Methane; Nitrate; Nitrite; Nitrogen, total dissolved; Oxygen; Oxygen, Winkler (Culberson, 1991, WOCE Report 68/91); pH; Phosphate; Photometry; Potentiometric; Salinity; Sea of Okhotsk; Silicate; Temperature, water, potential; Titration
    Type: Dataset
    Format: text/tab-separated-values, 163 data points
    Location Call Number Expected Availability
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