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  • 1
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    cmip5 output1 CSIRO-BOM ACCESS1-0 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. '1pctCo2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.1 1pctCo2 (6.1 1 percent per year CO2) - Version 1: Idealized 1% per year increase in atmospheric CO2 to quadrupling. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 2
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalMisc v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. historicalMisc is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc . Used forcings in individual ensemble runs (see attached addinfo for more information): r[1-5]i1p1 - Ant: anthropogenic forcing (AA anthropogenic aerosols - a mixture of aerosols, not explicitly defined here; Oz - tropospheric and stratospheric ozone; GHG - well-mixed greenhouse gases, a mixture, not explicitly defined here); r[1-5]i1p2 - NoOz: all forcings except tropospheric and stratospheric ozone concentrations fixed; r[1-5]i1p3 - NoAA: all forcings except anthropogenic aerosols (AA) and the indirect effect of AA on snow albedo; r[1-5]i1p4 - AA: anthropogenic aerosols (AA) including the indirect effect of AA on snow albedo; r[1-5]i1p5 - AntNoAA: the same as NoAA (AA is fixed at preindustrial levels), except that AA emissions are allowed to vary in the Asian region [10S to 45N x 65E to 150E]; r[1-5]i1p6 - VI: volcanic forcing only.
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  • 3
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClim v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClim' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
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  • 4
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClimAerosol v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClimAerosol' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.4a sstClimAerosol (6.4a all aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2) Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
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  • 5
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    cmip5 output1 CSIRO-BOM ACCESS1-0 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'abrupt4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.3 abrupt4xco2 (6.3 Abrupt 4XCO2) - Version 1: Impose an instantaneous quadrupling of CO2, then hold fixed. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 6
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClim v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClim' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2a sstClim (6.2a Control SST Climatology) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 7
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. '1pctCo2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.1 1pctCo2 (6.1 1 percent per year CO2) - Version 1: Idealized 1% per year increase in atmospheric CO2 to quadrupling. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 8
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 midHolocene v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. midHolocene is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. midHolocene (3.4 mid-Holocene) - Version 2: Consistent with PMIP (Paleo Model Intercomparison Project) specifications. Impose Mid-Holocene (6 kyrs ago) conditions including Orbital parameters and Atmospheric concentrations of well-mixed greenhouse gasses. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
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  • 9
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 amip v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'amip' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.3 amip (3.3 AMIP) - Version 1: AMIP (1979 - at least 2008). Impose SSTs and sea ice from observations but with other conditions as in experiment 3.2 historical. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 10
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    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalNat v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'historicalNat' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.1 historicalNat (7.1 natural-only historical simulation) - Version 1: Historical simulation but with natural forcing only. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 11
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    cmip5 output1 CSIRO-BOM ACCESS1-3 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'abrupt4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.3 abrupt4xco2 (6.3 Abrupt 4XCO2) - Version 1: Impose an instantaneous quadrupling of CO2, then hold fixed. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 12
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    cmip5 output1 CSIRO-BOM ACCESS1-3 rcp45 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.1 rcp45 (4.1 RCP4.5) - Version 1: Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
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  • 13
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    cmip5 output1 CSIRO-BOM ACCESS1-0 historicalExt v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. historicalExt is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.4 historicalExt (7.4 Historical Extension) - Version 1: Extend the CMIP5 historical runs to the near-present (as we have for AMIP), rather than ending them in 2005. Simulations extended to at least the end of 2012 using some estimate of recent and future forcing. Groups are free to use whatever concentrations, solar forcing, SO2 emissions etc. they want to use in extending these runs. It is recommended that if an ensemble of "all-forcings" historical simulations have been run, then *each* member of the ensemble should be carried to the end of 2012. If some other forcing is used or if the run is an RCP run that is truncated after a few years, then the run should be considered a "historical extension" experiment with its output placed in a directory named historicalExt. For these historicalExt experiments, the ensemble member (designated by the "rip" value appearing in the filename and recorded as netCDF global attributes) will be identical to the historical run it extends. List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
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  • 14
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    cmip5 output1 CSIRO-BOM ACCESS1-3 amip v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'amip' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.3 amip (3.3 AMIP) - Version 1: AMIP (1979 - at least 2008). Impose SSTs and sea ice from observations but with other conditions as in experiment 3.2 historical. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 15
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 piControl v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
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  • 16
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    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalExt v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. historicalExt is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.4 historicalExt (7.4 Historical Extension) - Version 1: Extend the CMIP5 historical runs to the near-present (as we have for AMIP), rather than ending them in 2005. Simulations extended to at least the end of 2012 using some estimate of recent and future forcing. Groups are free to use whatever concentrations, solar forcing, SO2 emissions etc. they want to use in extending these runs. It is recommended that if an ensemble of "all-forcings" historical simulations have been run, then *each* member of the ensemble should be carried to the end of 2012. If some other forcing is used or if the run is an RCP run that is truncated after a few years, then the run should be considered a "historical extension" experiment with its output placed in a directory named historicalExt. For these historicalExt experiments, the ensemble member (designated by the "rip" value appearing in the filename and recorded as netCDF global attributes) will be identical to the historical run it extends. List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
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  • 17
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    cmip5 output1 CSIRO-BOM ACCESS1-0 historical v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 18
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    Unbekannt
    cmip5 output1 CSIRO-BOM ACCESS1-3 historical v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 19
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClim4xCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClim4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2b sstClim4xco2 (6.2b SST Climatology With 4XCO2 Forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in 6.2a) but with quadrupled 4XCO2 imposed. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 20
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    cmip5 output1 CSIRO-BOM ACCESS1-3 piControl v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
    Format: NetCDF
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  • 21
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    cmip5 output1 CSIRO-BOM ACCESS1-3 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. '1pctCo2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.1 1pctCo2 (6.1 1 percent per year CO2) - Version 1: Idealized 1% per year increase in atmospheric CO2 to quadrupling. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 22
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClim4xCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClim4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.2b sstClim4xco2 (6.2b SST Climatology With 4XCO2 Forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in 6.2a) but with quadrupled 4XCO2 imposed. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 23
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    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalGHG v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. "historicalGHG" is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.2 historicalGHG (7.2 GHG-only historical) - Version 1: Historical simulation but with greenhouse gas forcing only. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 24
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    cmip5 output1 CSIRO-BOM ACCESS1-0 piControl v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
    Format: NetCDF
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  • 25
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    cmip5 output1 CSIRO-BOM ACCESS1-0 rcp45 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.1 rcp45 (4.1 RCP4.5) - Version 1: Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 26
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    cmip5 output1 CSIRO-BOM ACCESS1-0 rcp85 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
    Format: NetCDF
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  • 27
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp85 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
    Format: NetCDF
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  • 28
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp45 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'rcp45' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.1 rcp45 (4.1 RCP4.5) - Version 1: Future projection (2006-2100) forced by RCP4.5. RCP4.5 is a representative concentration pathway which approximately results in a radiative forcing of 4.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 29
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historical v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 30
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalNat v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'historicalNat' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.1 historicalNat (7.1 natural-only historical simulation) - Version 1: Historical simulation but with natural forcing only. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 31
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClimSulfate v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClimSulfate' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.4b sstClimSulfate (6.4b sulfate aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2) Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
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  • 32
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'abrupt4xco2' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.3 abrupt4xco2 (6.3 Abrupt 4XCO2) - Version 1: Impose an instantaneous quadrupling of CO2, then hold fixed. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 33
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    cmip5 output1 CSIRO-BOM ACCESS1-3 rcp85 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
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  • 34
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClimAerosol v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClimAerosol' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.4a sstClimAerosol (6.4a all aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2) Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 35
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClimSulfate v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'sstClimSulfate' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 6.4b sstClimSulfate (6.4b sulfate aerosol forcing) - Version 1: AMIP-style experiment with control run climatological SSTs and sea ice (as in expt. 6.2a) but with aerosols consistent with conditions in year 2000 of the historical run (expt. 3.2) Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 36
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    cmip5 output1 CSIRO-BOM ACCESS1-0 amip v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'amip' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.3 amip (3.3 AMIP) - Version 1: AMIP (1979 - at least 2008). Impose SSTs and sea ice from observations but with other conditions as in experiment 3.2 historical. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 37
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalGHG v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. "historicalGHG" is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 7.2 historicalGHG (7.2 GHG-only historical) - Version 1: Historical simulation but with greenhouse gas forcing only. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 38
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp26 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. rcp26 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.3 rcp26 (4.3 RCP2.6) - Version 1: Future projection (2006-2100) forced by RCP2.6. RCP2.6 is a representative concentration pathway which approximately results in a radiative forcing of 2.6 W m-2 at year 2100, relative to pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
    Materialart: dataset_group
    Format: NetCDF
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  • 39
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp60 v2015 (2015)
    WDCC
    Details
    Publikationsdatum: 2020-10-13
    Beschreibung: The experiment includes the latest CMIP5 data of CSIRO for January 2015. The data is a newer version of the IPCC DDC AR5 data of CSIRO. 'rcp60' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.4 rcp60 (4.4 RCP6) - Version 1: Future projection (2006-2100) forced by RCP6. RCP6 is a representative concentration pathway which approximately results in a radiative forcing of 6 W m-2 at year 2100, relative to pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
    Materialart: dataset_group
    Format: NetCDF
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  • 40
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    Rock-Water-Ice topographic gravity field model 2015 (RWI 2015 model) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2021-08-19
    Beschreibung: Abstract
    Beschreibung: High-resolution spherical harmonic representation of the Earth's topographic gravitational potential based on a three-layer decomposition of the topography with variable density values. Main features: - Three-layer decomposition of the topography using information of the new 1'x1' Earth2014 topography model - Rigorous separate modeling of rock, water, and ice masses with layer-specific density values: Rock: 2670 kg m-3, Water: 1030 kg m-3 (Ocean), 1000 kg m-3 (Inland), Ice: 917 kg m-3 - Ellipsoidal arrangement of the topography using the GRS80 ellipsoid + geoid undulations as height reference surface - Additional compilation of a consistent rock-equivalent version REQ_TOPO_2015 using condensed DTM-heights Processing: - Forward modelling in the space domain using tesseroid mass bodies - Transformation of global gridded values to the frequency domain by applying harmonic analysis up to degree and order 2190 Model versions: - Spherical harmonic coefficients of the RWI model are provided by two versions (GM = 3.986004415e+14 m3 s-2, a = 6378136.3 m): RWI_TOPO_2015 (topographic potential) REQ_TOPO_2015 (topogr. potential of rock-equivalent heights) - To allow the evaluation of the RWI model by synthesis software that by default subtracts the coefficients of a normal gravity field, two additional versions are available: RWI_TOPO_2015_plusGRS80 (RWI_TOPO_2015 + GRS80) REQ_TOPO_2015_plusGRS80 (REQ_TOPO_2015 + GRS80) where the following zonal harmonic coefficients of the GRS80 normal gravity field are added to the coefficients of the RWI model: C( 0,0) = 0.100000014676351e+01 C( 2,0) = -0.484167032228604e-03 C( 4,0) = 0.790304535833168e-06 C( 6,0) = -0.168725253450154e-08 C( 8,0) = 0.346053594536695e-11 C(10,0) = -0.265006548323563e-14 C(12,0) = -0.410788602320538e-16 C(14,0) = 0.447176931400485e-18 C(16,0) = -0.346362561442980e-20 Note that these coefficients are already rescaled to the above specified parameters GM and a of the RWI model. Details about the used Earth2014 topography model can be found in Hirt and Rexer (2015, https://doi.org/10.1016/j.jag.2015.03.001).
    Schlagwort(e): Gravity forward modeling ; Spherical harmonic model ; Topographic gravity field model ; Rock–Water–Ice (RWI) decomposition ; Topographic potential ; Topographic reduction ; Tesseroids ; EARTH SCIENCE 〉 LAND SURFACE 〉 TOPOGRAPHY 〉 TOPOGRAPHIC EFFECTS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 41
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    Supplement to: The New World Atlas of Artificial Night Sky Brightness (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2021-10-05
    Beschreibung: Abstract
    Beschreibung: These are maps of artificial night sky radiance that were produced by the Light Pollution Science and Technology Institute (ISTIL), and described in the paper "The New World Atlas of Artificial Night Sky Brightness" (Falchi et al. 2016).The data are stored in a 2.9 Gb geotiff file, on a 30 arcsecond grid. The map reports simulated zenith radiance data in [mcd/m^2]. The map is based on data from the VIIRS Day Night Band (DNB, MIller et al. 2013), which has been propagated through the atmosphere using the radiative transfer code reported in (Cinzano and Falchi, 2012). The upward emission function and the radiance calibration were obtained using data from Sky Quality Meters (including data from Duriscoe et al. 2007; Falchi 2010; Kyba et al 2013, 2015 and Zamorano et al. 2016).Note that the maps report artificial light only! The zenith radiance from natural sources such as stars and the Milky Way are not included, and must be added in order to match the data that would be obtained from an actual outdoor measurement.A kmz file for quick view of the data is also provided. Access to the FTP site to download the data can be requested via the data request form on the landing page.Version History:13 November 2019: change of the licence to CC BY NC 4.0 (after end of embargo period).
    Beschreibung: Other
    Beschreibung: Artificial lights raise the night sky luminance, creating the most visible effect of light pollution, artificial sky glow. Despite the increasing interest among scientists in fields such as ecology, astronomy, healthcare, land use planning, light pollution lacks a current quantification of its magnitude on a global scale. To overcome this, here we present the World atlas of the artificial sky luminance, computed with our light pollution propagation software using new high resolution satellite data and new precision sky brightness measurements. This atlas shows that more than 80% of the World and more than 99% of the U.S.A. and Europe populations live under light polluted skies. The Milky Way is hidden for more than one third of humanity, including 60% of Europeans and nearly 80% of North Americans. Moreover, 23% of World's lands between 75°N and 60°S, 88% of Europe and almost half of U.S.A. experience light polluted nights.
    Schlagwort(e): artificial light ; ALAN ; skyglow ; light pollution ; atlas ; night ; radiative transfer ; Suomi NPP ; Sky Quality Meter ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 VISUALIZATION/IMAGE PROCESSING
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Format: 26001739 Bytes
    Format: 1 Files
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 42
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    Preface (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publikationsdatum: 2022-01-12
    Beschreibung: Abstract
    Beschreibung: The 2nd Data Management Workshop was held at the University of Cologne in November 2014. It was organized within the research data management activities of two large interdisciplinary research projects both funded by the German Research Foundation (DFG). Both projects actively supported the workshop. The Collaborative Research Centre/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling and Data Assimilation’ involves scientist from the fields of meteorology, hydrology, geography, geophysics, soil sciences and mathematics. The CRC806 ‘Our Way to Europe: Culture-Environment Interaction and Human Mobility in the Late Quaternary’ integrates scientists from the disciplines of prehistoric archaeology, geology, geography, geophysics and soil sciences. Organizing research data management of such diverse disciplines which are distributed over several universities and research centers faces several problems and challenges. Consequently, the main focus of the 2nd Data Management Workshop was to discuss solutions and approaches for interdisciplinary and disciplinary data management with other colleagues and experts of the field. The publication of the Special Issue on ‘Research Data Management’ of the ISPRS International Journal of Geo-Information (ISSN 2220-9964) emerged in the context of this workshop.
    Beschreibung: SeriesInformation
    Beschreibung: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. III-IV
    Schlagwort(e): Data Management ; Research Data
    Sprache: Englisch
    Materialart: Text , Workshop paper
    Format: 2 Pages
    Format: 181 Kilobytes
    Format: application/pdf
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  • 43
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    Research Data Management within the E-Science Strategy in Baden-Württemberg - Preliminary Results of Project bwFDM-Communities (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publikationsdatum: 2022-01-12
    Beschreibung: Abstract
    Beschreibung: The federal state of Baden-Württemberg wants to offer scientists the best conditions for research. Against the backdrop of the ever-increasing importance of data and information the bwFDM-Communities project is tasked to develop recommendations that shall enable scientists in our federal state to process and use data without barriers. In order to achieve this objective, we engage an active dialogue with all university research groups in Baden-Württemberg (~3000). Next to identifying and advertising best-practice solutions, this project is supposed to gather information on how federal IT support needs to be expanded in order to meet the increasing demands of future research. As this is an ongoing project there may be further results in time, but some early conclusions can be drawn: Scientists want clear-cut requirements and responsibilities for data management and are willing to share their data if there is a proper appreciation model for data publication. Additionally, a lot of scientists complain about too strict law regulations regarding copyright and need better information about available RDM support, partners and opportunities. Final conclusions and recommendations can only be given in the further course of the project, but we are confident that our final recommendations will help the scientists in Baden-Württemberg.
    Beschreibung: SeriesInformation
    Beschreibung: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 1-6
    Schlagwort(e): Data Management ; Research Data
    Sprache: Englisch
    Materialart: Text , Workshop paper
    Format: 6 Pages
    Format: 1144 Kilobytes
    Format: application/pdf
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    DATEN GFZ
  • 44
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    The TR32DB: A Research Data Management System for the CRC/Transregio 32 ‘Patterns in Soil-Vegetation-Atmosphere Systems’ (2016)
    Geographisches Institut der Universität zu Köln - Kölner Geographische Arbeiten
    Details
    Publikationsdatum: 2022-01-12
    Beschreibung: Abstract
    Beschreibung: This paper introduces the CRC/TR32 database (TR32DB), a research data management system developed within the multidisciplinary research project Collaborative Research Centre/Transregio 32 (CRC/TR32) funded by the German Research Foundation (DFG). The aim of the TR32DB is to support collative research within the whole project by providing data storage, backup, archive, documentation, publication and also sharing services. The entire system is self-developed according to the requirements of the funding agency, the user and project demands, as well as according to recent principles and standards. The TR32DB system architecture is basically a combination of data storage (file management), database and web-interface. In addition, the TR32DB Metadata Schema was designed and implemented to describe all project data with accurate metadata. A user-friendly multi-level approach was chosen to cover the requirements of all data stored in the TR32DB with appropriate metadata.
    Beschreibung: SeriesInformation
    Beschreibung: Proceedings of the 2nd Data Management Workshop, 28.-29.11.2014, University of Cologne, Germany, Kölner Geographische Arbeiten, 96, pp. 7-15
    Schlagwort(e): Data Management ; Metadata ; Research Data
    Sprache: Englisch
    Materialart: Text , Workshop paper
    Format: 9 Pages
    Format: 1802 Kilobytes
    Format: application/pdf
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  • 45
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    GFZ VER11 SLCCI precise orbits of altimetry satellites ERS-1, ERS-2, Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 in the ITRF2008 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-01-17
    Beschreibung: Abstract
    Beschreibung: The data set provides GFZ VER11 orbits of altimetry satellitesERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)TOPEX/Poseidon (September 23, 1992 - October 8, 2005),derived at the time spans given at Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the same (ITRF2008) terrestrial reference frame for all satellites using common, most precise models and standards available and described below.The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations.The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c, ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM stands for month and DD stands for day of the beginning of the file.More details on these orbits are provided in Rudenko et al. (2017)
    Schlagwort(e): Jason-1 ; Jason-2 ; ERS-1 ; ERS-2 ; Envisat ; ESA CCI Sea Level ; Altimetry satellite ; Low Earth Orbit satellites ; sea level ; TOPEX/POSEIDON ; ITRF2008 ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Altimeters 〉 Radar Altimeters ; equipment 〉 artificial satellite 〉 observation satellite ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 SATELLITE ORBITS/REVOLUTION 〉 ORBITAL POSITION ; EARTH SCIENCE 〉 OCEANS 〉 SEA SURFACE TOPOGRAPHY 〉 SEA SURFACE HEIGHT
    Sprache: Englisch
    Materialart: Dataset
    Format: 6 Files
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
    Format: application/octet-stream
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    DATEN GFZ
  • 46
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    Neusling (Landau a.d. Isar) 2011 - An Agricultural EnMAP Preparatory Flight Campaign Using the APEX Instrument (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: This data collection contains airborne hyperspectral data as well as accompanying in-situ data acquired in autumn 2011 in the Neusling test area near Landau a.d. Isar in Southern Germany. The dataset is composed of a) three airborne hyperspectral image strips acquired during an overflight on September 10th, 2011 with the APEX instrument. The airborne data consists of 288 spectral bands, ranging from VIS to SWIR (413 - 2449 nm). A mosaic of the three image strips covering the Neusling test area is also provided; b) spectral reference and control measurements acquired with a portable ASD FieldSpec 3 JR spectroradiometer in 2150 spectral bands (350 - 2500nm) taken parallel to the overflight; c) a spatially comprehensive land use/land cover map generated from in-situ observations during the days next to the overflight; d) Flight-parallel in-situ point-measurements consisting of: i) non-destructively measured leaf area index of sugar beet, maize, grassland and legumes (105 measurements incl. standard deviations), ii) SPAD chlorophyll measurements (106 measurements incl. standard deviations), iii) 106 measurements of canopy height (incl. standard deviations). The dataset was collected with an agricultural focus.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Hyperspectral Imagery ; Field Spectroscopy ; Agriculture ; LAI
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 47
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    Neusling (Landau a.d. Isar) 2009 - An Agricultural EnMAP Preparatory Flight Campaign Using the HyMap Instrument (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: This data collection contains airborne hyperspectral data as well as accompanying in-situ data acquired in autumn 2009 in the Neusling test area near Landau a.d. Isar in Southern Germany. The dataset is composed of a) two airborne hyperspectral image strips acquired during an overflight on July 27th, 2009 with the HyMap instrument over two areas; “Neusling” and “Steinbeissen”. The airborne data consists of 125 spectral bands, ranging from VIS to SWIR (455 - 2478 nm); b) spectral reference measurements acquired with a portable ASD FieldSpec 3 JR spectroradiometer in 2150 spectral bands (350 - 2500nm) taken parallel to the overflight; c) spatially comprehensive land use/land cover maps for both flight strips generated from in-situ observations during the days next to the overflight; d) Flight-parallel in-situ point-measurements consisting of: i) destructively measured aboveground dry biomass and canopy water content of maize, sugar beet and winter wheat (58 measurements), ii) non-destructive measurements of LAI of sugar beet and maize (52 measurements), iii) TDR soil moisture measurements covering the main land cover types in the area (250 measurements), iv) 249 measurements of canopy height, v) 199 observations of plant phenology. The dataset was intended to be used in an educational context and was collected with an agricultural focus.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Hyperspectral Imagery ; Field Spectroscopy ; Agriculture ; Biomass ; Canopy Water Content ; LAI
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 48
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    Unbekannt
    Neusling (Landau a.d. Isar) 2012 - A Multitemporal and Multisensoral Agricultural EnMAP Preparatory Flight Campaign (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: This data collection contains a multitemporal series of six airborne hyperspectral image mosaics acquired during the growing season of 2012 over the Neusling test area near Landau a.d. Isar in Southern Germany. The airborne hyperspectral data is complemented by accompanying in-situ data acquired parallel to the overflights. The dataset is composed of a) four airborne hyperspectral image mosaics acquired during overflights on April 28th 2012, May 25th 2012, June 16th 2012 and September 8th 2012 with the AVIS-3 imaging spectrometer. The AVIS data consists of 197 spectral bands, ranging from VIS to SWIR (477 - 1704 nm); b) two airborne hyperspectral image mosaics acquired during overflights, which were conducted by the DLR user service OpAiRS (www.dlr.de/opairs) on May 8th 2012 and August 14th 2012 with a HySpex imaging spectrometer. The HySpex data consists of 332 spectral bands, ranging from VIS to SWIR (417 - 2496 nm); c) spatially comprehensive land use/land cover maps generated from in-situ observations for two time-windows during the growing season of 2012 (May and August); d) Flight-parallel in-situ point-measurements consisting of: i) non-destructively measured leaf area index of winter wheat, winter barley, sugar beet, maize and rapeseed (561 measurements incl. standard deviations), ii) SPAD chlorophyll measurements (522 measurements incl. standard deviations), iii) 557 soil moisture measurements incl. standard deviations iv) 539 phenological observations v) 499 measurements of canopy height incl. standard deviations and vi) 38 measurements of plant density. The dataset was collected in order to cover the seasonal dynamics in the development of agricultural crops in Southern Germany.Erratum: Correct Acquisition date of the second HySpex flight was August 14th 2012, not August 12th 2012.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Hyperspectral Imagery ; Field Spectroscopy ; Agriculture ; LAI
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 49
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    Unbekannt
    Döberitzer Heide 2008/2009 - An EnMAP Preparatory Flight Campaign (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: The dataset is composed of a) hyperspectral imagery acquired during airplane overflights on August 7th, 2008 and August 20th, 2009 consisting of 126 and 125 spectral bands, respectively, ranging from VIS to SWIR (456 - 2490 nm and 453 - 2480 nm) wavelength regions; b) spectral reference measurements acquired with an portable ASD field spectroradiometer in 2150 spectral bands (350 - 2500nm) in the same phenological periods of July/August/September 2008/09 c) plant species assemblages on 81 moist and 72 dry habitats consisting of the fractional cover of all vascular plants, mosses and lichens. The overall goal of the study was to map plant species shift along environmental gradients relating spectral information to the floristic composition. Reference plots of 1 or 2 m² size were thereby located in typical plant communities as well as in transition zones affected by species shift due to management measures such as grazing or shrub removal. In addition 17 field plots were analyzed with regard to soil horizon parameter (e.g. pH, grain size, carbonate content) in the year 2011. Soil types are further available on 51 auger probes.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Imaging Spectroscopy ; Vegetation Ecology ; Environmental Gradients
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 50
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    Unbekannt
    Neusling (Landau a.d. Isar) 2012 - A Multitemporal and Multisensoral Agricultural EnMAP Preparatory Flight Campaign (Datasets) (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: This data collection contains a multitemporal series of six airborne hyperspectral image mosaics acquired during the growing season of 2012 over the Neusling test area near Landau a.d. Isar in Southern Germany. The airborne hyperspectral data is complemented by accompanying in-situ data acquired parallel to the overflights. The dataset is composed of a) four airborne hyperspectral image mosaics acquired during overflights on April 28th 2012, May 25th 2012, June 16th 2012 and September 8th 2012 with the AVIS-3 imaging spectrometer. The AVIS data consists of 197 spectral bands, ranging from VIS to SWIR (477 - 1704 nm); b) two airborne hyperspectral image mosaics acquired during overflights, which were conducted by the DLR user service OpAiRS (www.dlr.de/opairs) on May 8th 2012 and August 14th 2012 with a HySpex imaging spectrometer. The HySpex data consists of 332 spectral bands, ranging from VIS to SWIR (417 - 2496 nm); c) spatially comprehensive land use/land cover maps generated from in-situ observations for two time-windows during the growing season of 2012 (May and August); d) Flight-parallel in-situ point-measurements consisting of: i) non-destructively measured leaf area index of winter wheat, winter barley, sugar beet, maize and rapeseed (561 measurements incl. standard deviations), ii) SPAD chlorophyll measurements (522 measurements incl. standard deviations), iii) 557 soil moisture measurements incl. standard deviations iv) 539 phenological observations v) 499 measurements of canopy height incl. standard deviations and vi) 38 measurements of plant density. The dataset was collected in order to cover the seasonal dynamics in the development of agricultural crops in Southern Germany.Version History: Correct Acquisition date of the second HySpex flight was August 14th 2012, not August 12th 2012.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Hyperspectral Imagery ; Field Spectroscopy ; Agriculture ; LAI
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 51
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    Donnersberg, 2014-07-03 - An EnMAP Preparatory Flight Campaign (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-03-11
    Beschreibung: Abstract
    Beschreibung: The dataset contains hyperspectral imagery acquired during airplane overflights on 3rd July 2014 consisting of 242 spectral bands, ranging from VIS to SWIR (423 - 2438 nm) wavelength regions. It covers an area of about 78 km² which is dominated by beech and oak forests. The flight campaign was part of several flight campaigns within the EnMAP project and focused on hyperspectral analysis of plant physiology in deciduous forests in the Donnersberg region in Rhineland-Palatinate, Germany.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights
    Schlagwort(e): Imaging Spectroscopy ; Vegetation Ecology ; Forest
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 52
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    Climatologies at high resolution for the earth's land surface areas (Version 1.0) (2016)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: CHELSA_v1.0 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. Version 1.0 is a first release. It includes monthly and annual mean temperature and precipitation patterns for the time period 1979-2013. CHELSA_v1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim) with a GPCC (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) and GHCN (https://www.ncdc.noaa.gov/ghcnm/) bias correction. Specifications: High resolution (30 arcsec, ~1 km) Precipitation & Temperature Monthly coverage 1979 - 2013 Incorporation of topoclimate (e.g. orographic rainfall & wind fields). Downscaled ERA-interim model. Allows calculation of derived parameters based on monthly values such as length of dry periods etc.
    Materialart: experiment
    Format: GeoTIFF
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  • 53
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    Climatologies at high resolution for the earth's land surface areas (Version 1.1) (2016)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: CHELSA_v1.1 (http://chelsa-climate.org/) is a high resolution (30 arc sec, ~1 km) climate data set for the earth land surface areas. It includes monthly and annual mean temperature and precipitation patterns as well as derived bioclimatic and interannual parameters for the time period 1979-2013. CHELSA_v1.1 is based on a quasi-mechanistical statistical downscaling of the ERA interim global circulation model (http://www.ecmwf.int/en/research/climate-reanalysis/era-interim) with a GPCC (https://www.dwd.de/EN/ourservices/gpcc/gpcc.html) and GHCN (https://www.ncdc.noaa.gov/ghcnm/) bias correction.
    Materialart: experiment
    Format: zip-file
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  • 54
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    coastDat-2 TRIM-NP-2d-Baltic_Sea (2015)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: This is a hydrodynamic hindcast for the Baltic Sea over the period 1958-2011. The simulation has been performed with the hydrodynamic model TRIM-NP V2.1 in barotropic 2D mode. Water level and current component fields are stored hourly. The model is set up on an equidistant Cartesian grid cascade with the center near Helgoland (7.88 E, 54.18 N) for the coarsest grid (12.8km resolution) (http://dx.doi.org/doi:10.1594/WDCC/coastDat-2_TRIM-NP-2d). Further model results from three nested grids (6.4km,3.2km, 1.6km resolution) for the Baltic Sea are hourly available for the period 1958-2011.
    Materialart: experiment
    Format: NetCDF
    Standort Signatur Erwartet Verfügbarkeit
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  • 55
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    Global High Resolution Climate Reconstruction (2015)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: Hindcast simulation has been performed for reconstruction of meso-scale weather systems, especially of intense storms by using the global atmospheric model ECHAM6 in its version 6.1.00 (CMIP5), the spectral nudging technique and NCEP reanalysis as forcing data. Horizonatal resolution: (768x384) gridpoints (T255L95), vertical resolution: 95 levels. Time period: 1948 - 2015 april. The output from the model run: /work/gg0301/g260070/ECHAM6/echam-6.1.00/experiments/echam6_t255l95_sn_ncep1/scripts on the HLRE-2 Blizzard and the Original-Outputs of the 8 ECHAM6-streams were named and differed by their suffixes: echam6_t255l95_sn_ncep1_199212.01_co2 echam6_t255l95_sn_ncep1_199212.01_echam echam6_t255l95_sn_ncep1_199212.01_jsbach echam6_t255l95_sn_ncep1_199212.01_land echam6_t255l95_sn_ncep1_199212.01_nudg echam6_t255l95_sn_ncep1_199212.01_surf echam6_t255l95_sn_ncep1_199212.01_veg echam6_t255l95_sn_ncep1_199212.01_vphysc
    Materialart: experiment
    Format: grib_sz
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  • 56
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    coastDat-2 WAM-North_Sea (2016)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: This is a North Sea wave hindcast for the period 1949-2014. The simulation has been performed with the wave model WAM Version 4.5.4. The model domain covers the area from 51N to 59N and 4.75W to 13E, with a spatial resolution of 0.05 degree latitude x 0.075 degree longitude (approx. 3 by 3 nautical miles). Integrated parameter derived from 2D spectra are available every hour. Atmospheric forcing was obtained from an atmospheric hindcast with COSMO-CLM (doi:10.1594/WDCC/coastDat-2_COSMO-CLM) driven by the NCEP/NCAR Reanalysis 1 data set. Lateral boundary conditions were obtained from corresponding coarse grid hindcast covering most of the Northeast Atlantic driven by the same atmospheric forcing.
    Materialart: experiment
    Format: NetCDF
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  • 57
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    MODIS__Arctic__MeltPondFraction__UHAM-CliSAP-ICDC__v02__12.5km__8day (2015)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: Reflectances measured in the visible frequency range at three channels of the Moderate Resolution Imaging Spectroradiometer (MODIS) aboard the Earth Observation Satellite (EOS) TERRA were used to derive the melt pond fraction on Arctic sea ice using an artificial neural network. This analysis was done on reflectances gridded onto a polar-stereographic grid tangent to the Earths' surface at 70 deg N with 500 m grid resolution. The reflectances used originate from the 8-day composite reflectances provided via https://wist.echo.nasa.gov/api/ as product: "MODIS surface Reflectance 8-Day L3 Global 500m SIN Grid V005". After gridding and flagging for clouds and other disturbances the artificial neural network was applied, providing fractions of three surface classes: 1) melt ponds, 2) sea ice and snow, and 3) open water at 500 m grid resolution. This data has been interpolated onto a similar polar-stereographic grid but with 12.5 km grid resolution. The data set offered here comprises several data layers: the melt pond fraction, its standard deviation, the open water fraction, and the number of individual valid grid cells with 500 m grid resolution included in each 12.5 km grid cell. In addition, in three separate data layers melt pond fraction, its standard deviation, and the open water fraction are given with those grid cells (with 12.5 km grid resolution) flagged as invalid where less than 90 % of the native 500 m grid resolution data indicate clear sky conditions. Valid for all these layers is, that grid cells with an open water fraction larger than 85 % have been flagged as invalid as well. The data set offered here is version 02 of the melt pond data set. The main difference to version 01 is a bias correction carried out to remove a positive bias in the melt pond fraction and in the open water fraction.
    Materialart: experiment
    Format: NetCDF
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  • 58
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    coastDat-2 TRIM-NP-2d-PCA_Residual_Currents (2015)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: Simulated 2D residual velocity fields in the inner German Bight were subjected to Principal Component Analysis (PCA). Residual currents were obtained from coastDat2 barotropic 2D simulations with the hydrodynamic model TRIM-NP V2.1.22 in barotropic 2D mode on a Cartesian grid (1.6km spatial resolution) stored on an hourly basis for the years 1948 - 2012 (doi:10.1594/WDCC/coastDat-2_TRIM-NP-2d) and later extended until August 2015. The present analysis refers to the period Jan 1958 - Aug 2015. The spatial domain considered is the region to the east of 6 degrees east and to the south of 55.6 degrees north. All grid nodes with a bathymetry of less than 10m were excluded. Residual velocities were calculated in two different ways: 1.) as 25h means, 2.) as monthly means. Both types of residual current data are available from * RESIDUAL_CURRENTS_195801_201508 The directory contains sub-directories for years and months. Daily residual currents for the 13th of September 1974, for instance, are stored in * RESIDUAL_CURRENTS_195801_201508/YEAR_1974/MONTH_09/TRIM2D_1974_09_13_means.nc while monthly mean residual currents for September 1974 are stored in: * RESIDUAL_CURRENTS_195801_201508/YEAR_1974/TRIM2D_1974_09_means.nc All current fields provided were interpolated from the original Cartesian model grid to a more convenient regular geographical grid (116x76 nodes). Mean residual currents are stored in: * mean_residual_currents.nc This data set contains residual velocities both on original Cartesian grid nodes and interpolated to the geographical grid. An example plot is provided: * mean_residual_currents.png For PCA, two residual velocity components from each of 12133 Cartesian grid nodes were combined into one data vector (length 2x12133), referring to 21061 daily or 692 monthly time levels. Results of two independent PCAs for either daily or monthly mean fields are stored in: * PCA_daily_residual_currents.nc * PCA_monthly_residual_currents.nc Files contain three leading Principal Components (PCs) and corresponding Emipirical Orthogonal Functions (EOFs). Again EOFs were also interpolated to a regular geographical grid. PC time series are also stored in plain ASCII format: * PCs_daily.txt * PCs_monthly.txt For monthly fields the number N of variables (N=2x12133) is much larger than the number T of time levels (T=692). Therefore, to reduce computational demands, the roles of time and space were formally interchanged. Having conducted the PCA the EOFs were then transformed back to the original spatial coordinates (cf. Section 12.2.6 in von Storch and Zwiers (1999), Statistical Analysis in Climate Research, Cambridge University Press). A much larger number of time levels made even this approach prohibitive for the full set of daily data. Therefore, PCAs were performed for six sub-periods (1958-1965, 1966-1975, 1976-1985, 1986-1995, 1996-2005, 2006-2015(Aug)) independently. EOFs obtained from these six sub-periods were then averaged to obtain EOFs representative for the whole period. Corresponding PCs were calculated by projecting daily fields onto these average EOFs. IMPORTANT: In contrast with PCA of monthly data, the PCA of daily data INVOLVES SOME APPROXIMATIONS! EOFs on the original nodes were normalized to have unit lengths. The following figures, * daily_EOF1.png * daily_EOF2.png * daily_EOF3.png show the first three EOFs obtained from daily data, assuming that corresponding PCs have the value of one standard deviation. The following two plots, * monthly_EOF1.png * monthly_EOF2.png show the leading EOFs for monthly mean data. EOF3 is omitted as it represents just a very small percentage of overall variance (1.7%).
    Materialart: experiment
    Format: zip-file
    Format: ascii
    Format: NetCDF
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  • 59
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    eVolv2k_v1: an ice-core based volcanic stratospheric sulfur injection database (2016)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: This dataset contains ice core-based estimates of volcanic stratospheric sulfur injections covering the years 500 BCE to 1900 CE. Ice core-derived volcanic sulfate deposition composites for Antarctica (Sigl et al., 2014) and Greenland (Sigl et al., 2015) are scaled to volcanic stratospheric sulfur injection based on a method similar to that of Gao et al., (2007). Sigl, M., Winstrup, M., McConnell, J. R., Welten, K. C., Plunkett, G., Ludlow, F., Büntgen, U., Caffee, M., Chellman, N., Dahl-Jensen, D., Fischer, H., Kipfstuhl, S., Kostick, C., Maselli, O. J., Mekhaldi, F., Mulvaney, R., Muscheler, R., Pasteris, D. R., Pilcher, J. R., Salzer, M., Schüpbach, S., Steffensen, J. P., Vinther, B. M. and Woodruff, T. E.: Timing and climate forcing of volcanic eruptions for the past 2,500 years, Nature, 523, 543-549, doi:10.1038/nature14565, 2015. Sigl, M., McConnell, J. R., Toohey, M., Curran, M., Das, S. B., Edwards, R., Isaksson, E., Kawamura, K., Kipfstuhl, S., Krüger, K., Layman, L., Maselli, O. J., Motizuki, Y., Motoyama, H., Pasteris, D. R. and Severi, M.: Insights from Antarctica on volcanic forcing during the Common Era, Nat. Clim. Chang., 4, 693-697, doi:10.1038/nclimate2293, 2014. Gao, C., Oman, L., Robock, A. and Stenchikov, G. L.: Atmospheric volcanic loading derived from bipolar ice cores: Accounting for the spatial distribution of volcanic deposition, J. Geophys. Res., 112(D9), doi:10.1029/2006JD007461, 2007.
    Materialart: experiment
    Format: NetCDF
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  • 60
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    cordex AFR-44 CLMcom CCLM4-8-17 (2015)
    WDCC
    Details
    Publikationsdatum: 2022-04-25
    Beschreibung: The data include daily, monthly, and seasonal variables of CORDEX experiments scaled down onto a ca. 50 km grid over Africa (acronym: AFR-44) based on the CCLM4-8-17 regional climate model. Each file contains a single variable and is formatted according to the CORDEX data protocol - meaning NetCDF-4 compressed, CF-1.4 compliant, with attributes and filenames according to the specified DRS. Data from any CORDEX experiment and with any CMIP5 global model forcing available and transfered from the ESGF to the long term archive WDCC at the time of publication are included. These are the experiments evaluation, historical, rcp85, and rcp45 using forcing data derived from the CMIP5 models MPI-ESM-LR, EC-EARTH, CNRM-CM5 and HadGEM2-ES. The data are provided on the model computational (native) grid.
    Materialart: experiment
    Format: NetCDF
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  • 61
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    Stress Map Germany 2016 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-07-08
    Beschreibung: Abstract
    Beschreibung: The stress map of Germany shows the orientation of the current maximum horizontal stress (SHmax) in the earth's crust. Assuming that the vertical stress (SV) is a principal stress, SHmax defines the orientation of the 3D stress tensor; the minimum horizontal stress Shmin is than perpendicular to SHmax. In the stress map the SHmax orientations are represented as lines of different lengths. The length of the line is a measure of the quality of data and the symbol shows the stress indicator and the color the stress regime. Data with E-Quality are shown without additional information as dots on the map. The stress data are freely available and part of the World Stress Map (WSM) project. For more information about the data and criteria of data analysis and quality mapping are plotted along the WSM website at http://www.world-stress-map.org.The German version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016.
    Beschreibung: Other
    Beschreibung: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
    Schlagwort(e): crustal stress ; in situ stress ; tectonic stress ; crustal stress pattern ; World Stress Map
    Materialart: Dataset
    Format: 9901520 Bytes
    Format: 1 Files
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 62
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    Stress Map Iceland 2016 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-07-08
    Beschreibung: Abstract
    Beschreibung: The stress map of Iceland shows the orientation of the current maximum horizontal stress (SHmax) in the earth's crust. Assuming that the vertical stress (SV) is a principal stress, SHmax defines the orientation of the 3D stress tensor; the minimum horizontal stress Shmin is than perpendicular to SHmax. In the stress map the SHmax orientations are represented as lines of different lengths. The length of the line is a measure of the quality of data and the symbol shows the stress indicator and the color the stress regime. Data with E-Quality are shown without additional information as dots on the map. The stress data are freely available and part of the World Stress Map (WSM) project. For more information about the data and criteria of data analysis and quality mapping are plotted along the WSM website at http://www.world-stress-map.org.
    Beschreibung: Other
    Beschreibung: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
    Schlagwort(e): crustal stress ; in situ stress ; tectonic stress ; crustal stress pattern ; mid ocean ridge
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Format: 11932019 Bytes
    Format: 1 Files
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 63
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    Stress Map of the Mediterranean and Central Europe 2016 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-07-08
    Beschreibung: Abstract
    Beschreibung: The Stress Map of the Mediterranean and Central Europe 2016 displays 5011 A-C quality stress data records of the upper 40 km of the Earth’s crust from the WSM database release 2016 (Heidbach et al, 2016, http://doi.org/10.5880/WSM.2016.001). Focal mechanism solutions determined as being potentially unreliable (labelled as Possible Plate Boundary Events in the database) are not displayed. Further detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org.
    Beschreibung: Other
    Beschreibung: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
    Schlagwort(e): crustal stress ; in situ stress ; tectonic stress ; crustal stress pattern ; tectonics ; geophysics ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 LITHOSPHERIC PLATE MOTION 〉 PLATE MOTION DIRECTION ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING 〉 DATA SEARCH AND RETRIEVAL
    Materialart: Dataset
    Format: 13765676 Bytes
    Format: 1 Files
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 64
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    Amphibious passive seismic recordings on and around Muostakh Island (Laptev Sea, Russia) in August/September 2013 - Datasets (2015)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publikationsdatum: 2022-11-29
    Beschreibung: Abstract
    Beschreibung: In August and September 2013, 17 shallow ocean bottom seismograph (S-OBS) stations and 8 land stations had been deployed on and around Muostakh Island (Laptev Sea, Russia) for a time period of 24 days. The specifically designed underwater recording equipment consists of a low-power digital recorder, a standard 4.5Hz 3-component geophone, and a battery pack. These components are enclosed in a watertight cylindrical container safe for operation down to 100m water depth. Land stations were also equipped with 4.5 Hz 1C-geophones as well as with batteries. All instruments recorded continuously with 200 samples per second (sps). The stations were deployed along two profiles covering a region of 8km x 8 km. The tilt of the geophone inside the S-OBS influences the sensor characteristics. Since the orientation and tilt at the ocean bottom was unknown, approximately every 24 hours a calibration signal (a sequence of step-functions) was applied to the sensors of the ocean stations. This might be used to recover the actual sensor characteristics (eigenfrequency and damping). The dataset contains 1) a info-folder with a) a README file; b) a file containing the times when calibration signals occurred (format: recorder_ID - date - time); c) the station table (ASCII; recorder_ID - latitude - longitude - (water)depth); d) a map of the region with the locations of the stations; 2) raw CUBE-formatted data; 3) converted mini-seed-formatted data (hourly files).
    Schlagwort(e): Seismology ; Laptev Sea (Russia) ; Cryosphere ; Solid Earth ; Permafrost
    Sprache: Englisch
    Materialart: Dataset , temporary seismological network
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 65
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    Data of the amphibious wide-angle seismic experiment in south Turkey, Cyprus and south of Cyprus (Eratosthenes Seamount) in the framework of the CyprusArc project (March 2010) - Datasets (2015)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publikationsdatum: 2022-11-29
    Beschreibung: Abstract
    Beschreibung: Raw-, SEG-Y and other supplementary data of the amphibious wide-angle seismic experiment carried out in south Turkey, Cyprus and south of Cyprus are presented. The aim of this project was to reveal the crustal structure of the Anatolian plateau, Cyprus and the Eratosthenes Seamount (ESM), south of Cyprus. Simultaneous data acquisition offshore with ocean bottom seismometers and airguns and onshore with seismic land stations and two land shots in south Turkey lead to a 650 km long amphibian seismic profile.
    Schlagwort(e): 201001-CyprusArc ; Wide-angle seismic ; crustal structure ; eastern Mediterranean ; Cyprus ; south Turkey ; Eratosthenes Seamount
    Materialart: Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 66
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    Data of the seismic reflection experiment in the Baza Basin (BASE project, October 2013) - Datasets (2015)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publikationsdatum: 2022-11-29
    Beschreibung: Abstract
    Beschreibung: SEGY and supplementary data of the seismic reflection experiment in the Baza Basin (Southern Spain). Presented are unstacked and unmigrated data of three 2D vibroseis profiles which were carried out in October 2013 and all corresponding raw data. The dataset is archived at the GIPP Experiment and Data Archive. The Baza Basin is an intra-mountain evaporitic basin in the Betic Cordillera (Southern Spain). The basin is formed by Pliocene to Pleistocene sediments. It can be distinguished into three lithological zones corresponding to different paleo-environments (Gibert et al., 2007). The inner zone, interpreted as a central saline lake, is dominated by an alternation of gypsum and carbonate laminae. The intermediate zone is characterized by cyclic carbonate beds. This zone is interpreted as a mosaic of shallow lakes surrounding the inner zone. The marginal zone consists of lacustrine deposits which are surrounded by an alluvial belt. In the marginal zone, distal fan deposits and shallow lake sediments alternate as a result of fluctuations in the lake water level which are related to changes in climate (Gibert et al., 2007). Therefore, up to 2.5 km thick lacustrine and ancillary continental deposits are found in this part of the basin which provide an unique archive of climatic changes and paleo-climatic events. The basin is bounded to the West by the Baza fault zone (e.g., Alfaro et al., 2010). There are plans to analyze the sedimentary record of the central zone with regard to the paleo-climaste in the Mediterranean as well as on a global scale within a scientific drilling project. In preparation for future drilling activities, the project BASE (BAza Seismic Experiment) started in the middle of the year 2013 with a duration of 12 month. In the framework of this project, controlled-source seismic measurements were used to investigate the structure of the Baza Basin and to find local zones of neo-tectonic deformation bounding the basin to the west (Baza fault). The aim of the seismic work was to provide structural information for the planned scientific drilling project. The vibroseismic experiments were carried out in the vicinity of Baza during 21st and 29th October 2013. A net of three individual seismic profiles was conducted, each 18 km in length (Figure 1). Two simultaneously operating vibrators were used as source at 301 positions at each profile. The nominal source point spacing was 60 m. The receivers were spread along the active profile in a roll-along configuration with a nominal receiver spacing of 20 m. Depending on the proceeding of the vibrators, groups of receivers were picked up at the end of the spread and were moved to the front. With a total amount of ~340 receivers, an offset range of at least 3 km around the source point was covered during the entire registration of each profile. Additionally to the roll-along receivers at Line 2, 31 fixed recorders were spread with a spacing of 600 m over the full distance of this profile (far-field recordings).
    Schlagwort(e): 201312-BASE ; seismic reflection experiment ; Baza Basin ; sedimentary basin ; Betic Codillera ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ/Laboratory Instruments 〉 Profilers/Sounders 〉 SEISMIC REFLECTION PROFILERS
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 67
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    Dead Sea Seismic Array, Jordan for DESERVE Project (Feb. 2014 - Feb. 2015) - Datasets (2016)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publikationsdatum: 2022-11-29
    Beschreibung: Abstract
    Beschreibung: A temporary seismic array was installed in combination with a meteorological station in the Dead Sea valley, Jordan. Within the scope of the HGF virtual institute DESERVE we operated 15 temporary seismic stations between February 2014 and February 2015 together with a nearby meteorological station close to the east coast of the Dead Sea. The main aim was to acquire data to study the influence of wind on seismic records and retrieve related meteorological parameters. The study area is scarcely populated and has ideal meteorological conditions to study periodically occurring winds.
    Schlagwort(e): Seismology ; Array ; Noise ; Wind
    Sprache: Englisch
    Materialart: Dataset , controlled source data
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 68
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    EnGeoMAP Test Data: Simulated EnMAP Satellite Data for Mountain Pass, USA and Rodalquilar, Spain (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-12-02
    Beschreibung: Abstract
    Beschreibung: This data pubilcation includes EnMAP-like imaging spectroscopy data files to be used for mineral mapping with the EnMAP BOX software. It is simulated EnMAP satellite data, which is based on hyperspectral flight campaign data with the AVIRIS-NG and HyMap sensors. In preparation of the EnMAP satellite mission, an EnMAP BOX software package provides tools for visualization and scientific analysis of the data. Among many applications, the EnMAP BOX contains geological mapping tools (EnGeoMAP). Here we apply these tools to several representative test cases (Boesche, 2015; Boesche et al. 2016; Mielke et al., 2016). The test data comprise two study sites. The first scene covers the Mountain Pass open pit mine - a carbonatite deposit in California, USA. It contains calcitic rock units and rare earth element (REE) bearing minerals of the bastnaesite group, also called fluorocarbonates (Olson et al., 1954). The REE concentrations at mountain pass are 9.2% on average, among the highest in the world (Brüning and Böhmer, 2011). The high concentration and the open pit activities make Mountain Pass an ideal test site to investigate the rare earth element distribution in the surface layer. The airborne image data were collected in 2014 by Jet Propulsion Laboratory (JPL), USA, with the AVIRIS-NG sensor and form the basis for EnMAP simulations (Segl et al., 2012; Thompson et al., 2015). The second HyMap spectral image data covers part of the Miocene Cabo de Gata Nίjar volcanic field, in southeast Spain. It comprises a subset of (Chabrillat et al., 2016) covering the Rodalquilar and Lomilla Calderas, which host the economically relevant gold-silver, lead-zinc-silver-gold and alunite deposits. It is a hydrothermal alteration complex, representing the silicic alteration, the advanced argillic alteration zone, which grades into the argillic and propylitic zone (Arribas et al., 1995, 1989). The image data are part of the Cabo de Gata Nίjar HyMap imagery which was collected during the DLR HyEurope airborne campaign 2005 in the frame of the GFZ land degradation program (Chabrillat et al., 2016, 2005). We use these datasets to simulate EnMAP-like images for classification and mapping using spectroscopic remote sensing techniques in the EnGeoMAP tools. The EnMAP end-to-end Simulation (EeteS) tool produced simulated EnMAP like data with a spatial sampling distance of 30 x 30 m and 242 spectral bands (Guanter et al., 2015; Segl et al., 2012). File format for both sites: Band Sequential Image Files (*.bsq) and file header (*.hdr). The full description of the datasets is given in the associated data report by Boesche et al. (2016).
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Imaging spectroscopy ; Mineral Mapping ; Rare Earth Elements ; EnMAP ; EnGeoMAP ; Simulated Data ; Rodalquilar ; Mountain Pass ; Hyperspectral Imagery ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES 〉 REFLECTION ; mineral resource ; satellite image
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 69
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    The Slovenian hybrid quasi-geoid: SLO-VRP2016/Koper (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2022-12-06
    Beschreibung: Abstract
    Beschreibung: The SLO-VRP2016/Koper quasi-geoid model is the latest height reference surface for Slovenia, referred to the GRS80 ellipsoid. The acronym means SLOvenska Višinska Referenčna Ploskev iz leta 2016, datum Koper (translated in English, Slovenian Height Reference Surface from the year 2016, datum Koper). It was computed by the Surveying and Mapping Authority of the Republic of Slovenia, in cooperation with the Norwegian Mapping Authority (Kartverket). The model is based on a set of old terrestrial gravity data (origin from Yugoslavia, from 1956-75), a set of new Slovenian gravity data (along levelling lines and regional gravimetric survey, from 2000 to 2015) and sets from neighboring countries (Italy, Austria, Hungary and Croatia), altogether 16.400 points in the mean-tide system. Stokes/Molodensky equations and the Fast Fourier transform technique have been applied with use of global geopotential model EGM2008. The computed quasi-geoid surface was adapted (fitted) to 66 high quality GNSS/levelling points, which were fairly distributed throughout the territory of Slovenia. Therefore, the resulting quasi geoid model can be used to perform the conversion between ellipsoidal heights (Slovenian realization of ETRS89 - D96, GRS80 ellipsoid) and normal heights (Slovenian Height System 2010 - SVS2010 with Koper tide gauge). The SLO_VRP2016/Koper model is given in the form of a regular grid, with resolution of 30” × 45”, within the limits of 13° 〈 λ 〈 17° (east of Greenwich) and 45° 〈 φ 〈 47° (north of the equator). In this area geoid heights range between 42.157 m and 50.608 m, with an average of 46.162 m. The inner accuracy of the calculated geoid heights is 2.6 cm, the outer accuracy (based on 871 control GNSS/levelling measurements along levelling lines) is up to 10 cm. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Beschreibung: Other
    Beschreibung: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Schlagwort(e): Geodesy ; Geoid model ; ISG ; Fast Fourier Transform ; Slovenia ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Materialart: Dataset , Dataset
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 70
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    GFZRNX - RINEX GNSS Data Conversion and Manipulation Toolbox (Version 1.05) (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-02-03
    Beschreibung: Abstract
    Beschreibung: GFZRNX is a software toolbox for Global Navigation Satellite System (GNSS) data provided in the REceiver Independent EXchange format (RINEX) of the major versions 2 and 3. The following RINEX data types are supported: - Observation data - Navigation data - Meteorological dataThe following global and regional satellite systems are supported:GPS - Global Positioning System (USA) GLONASS - GLObal NAvigation Satellite System (RUS)BEIDOU - Chinese Global and Regional Navigation Satellite System (CHN)GALILEO - European Global Navigation Satellite SystemIRNSS - Indian Regional Naviagation Satellite System (IND)QZSS - Quasi Zenith Satellite System (JAP) The following operations/tasks are supported: - RINEX data check and repair - RINEX data format conversion ( version 3 to 2 and vice versa ) - RINEX data splice - RINEX data split - RINEX data statistics generation - RINEX data manipulations like: (1) data sampling, (2) observation types selection, (3) satellite systems selection, (4) elimination of overall empty or sparse observation types - Automatic version dependent file naming on output data - RINEX data header editing - RINEX data meta data extraction - RINEX data comparisonThe following operating systems are supported: - Microsoft Windows (64) - Microsoft Windows (32) - Apple macOS - ORACLE Solaris (SPARC) - ORACLE Solaris (i86) - Linux (64) - Linux (32) Please find the executables and the Documentation via: http://semisys.gfz-potsdam.de/semisys/scripts/download/index.php (GFZ Software -〉 gfzrnx)
    Schlagwort(e): RINEX ; GNSS ; GPS ; GLONASS ; GALILEO ; BEIDOU ; QZSS ; IRNSS
    Materialart: Software
    Format: 674121 Bytes
    Format: 3 Files
    Format: application/octet-stream
    Format: application/pdf
    Format: application/pdf
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 71
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    Klyuchevskoy volcanic group experiment (KISS) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-02-08
    Beschreibung: Abstract
    Beschreibung: The KISS network was installed in the frame of the "Klyuchevskoy Investigation - Seismic Structure of an extraordinary volcanic system" project and recorded data between summer 2015 and summer 2016 in one of the world's largest clusters of subduction volcanoes - the Klyuchevskoy volcanic group (KVG). It is located in eastern Russia at the northern end of the Kuril-Kamchatka subduction zone close to its intersection with the Aleutian arc and the north-western termination of Hawaii-Emperor seamount chain. Additional to the 4700m high Mount Klyuchevskoy the KVG contains 12 other volcanoes that have together erupted about 1 cubic meter rock per second averaged over the past 10,000 years. Among those Klyuchevskoy, Bezymianny and Tolbachik were the most active ones during the last decades with eruptions styles ranging from explosive to Hawaiian-type. The KISS experiment is designed to investigate the volcanic and seismic processes and its structural setting in the KVG. The network covers a circular region of about 80km diameter with some linear extensions. It includes data from 77 temporary seismic stations with broadband and short period sensors that were installed on concrete plates in about 60cm deep holes. Due to the local conditions the stations were battery powered and could not be serviced during the experiment. GPS reception of the digitizers was not continuous at all stations due to thick snow cover and vegetation.
    Schlagwort(e): Broadband seismic waveforms ; Seismic monitoring ; temporary local seismic network ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Materialart: Dataset , Seismic Network
    Format: ~320G
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 72
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    A new time series of GRACE monthly gravity field models: HUST-Grace2016 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-03-03
    Beschreibung: Abstract
    Beschreibung: HUST-Grace2016 is a new time series of monthly gravity field models up to degree and order 60. The new HUST-Grace2016s is a new GRACE-only static gravity field model up to degree and order 160. Using about 13 years of GRACE Level 1B data spanning from January 2003 to April 2015. This new model has been developed by the institute of geophysics in the Huazhong University of Science and Technology (HUST). No constraint was applied. More details about our HUST-Grace2016s will be given in our paper “HUST-Grace2016s: a new GRACE static gravity field model derived from a modified dynamic approach over a 13-year observation period” (submitted to JGR Solid Earth in November 2016).This work is supported by the National Natural Science Foundation of China (No. 41131067, 41374023, 41474019), the Project funded by China Postdoctoral Science Foundation (No. 2016M592337).
    Beschreibung: Other
    Beschreibung: Input Data:- GRACE RL02 L1B (JPL) data products: January 2003 – March 2016- ITSG kinematic orbits: January 2003 – April 2015- AOD1B RL05 (GFZ) idealizing productCalculation method:- modified dynamic approach- numerical integrator: 14th-order Gauss-Jackson integrator- arc length: 24 hours- arc step: 5 secondsForce models:- Earth’s static gravity field: GGM05s up to degree and order 180- Ocean tides: EOT11a, truncated up to degree and order 120- N-body Perturbation: Direct and indirect J2 effects with JPL DE421- Solid earth tides: frequency independent/dependent terms, permanent tide- Solid earth tides: frequency independent/dependent terms, permanent tide- Pole tides: solid earth pole tides from IERS 2010, and ocean pole tides from Desai- Atmosphere and Oceanic variability: The AOD1B RL05 model up to degree 100- General Relativistic effects: IERS 2010
    Schlagwort(e): monthly gravity field model ; ICGEM ; geodesy
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Format: 1 Files
    Format: application/octet-stream
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 73
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    Data From The Groß Schönebeck Research Platform 2011-06-01 - 2013-12-31 (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-04-06
    Beschreibung: Abstract
    Beschreibung: This data is documented by the Scientific Technical Report Data 15/02 (http://dx.doi.org/10.2312/GFZ.b103-15021). Both, the data and the report, are supplements to the publication Blöcher et al. (2015), accessible via http://dx.doi.org/10.1016/j.geothermics.2015.07.008. From 2011-06-01 until 2013-12-31, the measurement and control system at the Groß Schönebeck research platform acquired data from several circulation experiments. Different data values were recorded at a sampling interval of 1 s. Relevant data for understanding and analyzing the hydraulic situation of the system were resampled to a 1 minute interval. From the resampled dataset, additional parameters were derived. Furthermore, if parameters were considered to be essential, but the measurement of these parameters was erroneous, some data were reprocessed. All relevant data and processing steps performed on the data are described within this report. Data described within this report can be accessed via http://dx.doi.org/10.5880/GFZ.b103-15021.1. The presented data was acquired during different research projects by the staff of the International Centre for Geothermal Research as well as Section 4.1 Reservoirtechnologies at the Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences.
    Schlagwort(e): hydraulic testing ; thermal water loop ; EPOS ; geo-energy test beds
    Materialart: Dataset
    Format: 181396214 Bytes
    Format: 4 Files
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Format: application/x-zip-compressed
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 74
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    The Argentinian gravimetric geoid: GEOIDE-Ar16 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-05-23
    Beschreibung: Abstract
    Beschreibung: The GEOIDE-Ar16 Argentinian gravimetric geoid model covers the area from 57° S to 20° S in latitude and from 76° W to 52° W in longitude, with a grid resolution of 1' × 1'. It was developed using the remove-compute-restore technique and incorporating the GOCO05S satellite-only global geopotential model up to degree and order 280, together with about 650,000 land and marine gravity measurements. Terrain corrections were calculated for all gravity observations using a combination of the SRTM_v4.1 and SRTM30_Plus_v10 digital elevation models. For the regions that lacked of gravity observations, the DTU13 gravity model was utilised. The residual gravity anomalies were gridded using the tensioned spline algorithm. The resultant gravity anomaly grid was applied in the Stokes' integral using the spherical multi-band FFT approach and the deterministic kernel modification proposed by Wong and Gore. The accuracy of GEOIDE-Ar16 was assessed by comparing it with GPS-levelling derived geoid undulations at 1,904 locations and the EGM2008 model. Results show that the GEOIDE-Ar16 geoid model has an accuracy of less than 10 centimetres. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
    Beschreibung: Other
    Beschreibung: The International Service for the Geoid (ISG) was founded in 1992 (as International Geoid Service - IGeS) and it is now an official service of the International Association of Geodesy (IAG), under the umbrella of the International Gravity Field Service (IGFS). The main activities of ISG consist in collecting, analysing and redistributing local and regional geoid models, as well as organizing international schools on the geoid determination (Reguzzoni et al., 2021).
    Schlagwort(e): Geodesy ; Geoid model ; ISG ; Spherical multi-band Fast Fourier Transform ; Wong-Gore Stokes kernel modification ; Argentina ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Materialart: Dataset , Dataset
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    Ground-based GPS observations at low elevation angles using open-loop signal tracking (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-06-05
    Beschreibung: Abstract
    Beschreibung: This data publication comprises (1) a one-year data set of ground-based GPS raw signal observations (inphase and quadphase C/A code correlation sums, NCO phases, pseudoranges) aiming at geometric elevation angles below +2°, (2) the "OpenGPS" receiver software and (3) MATLAB source code to access the raw data files. (1) ground-based GPS raw signal observations: Within the "GLESER" measurement campaign 2581 validated setting events were recorded by the "OpenGPS" open-loop tracking receiver at an observation site located at 52.3808°N, 13.0642°E (Potsdam, Germany) between January and December 2014. The instrument provided on average 8.3 observations per day with three data gaps (29 January to 1 February, 29–31 August and 18–22 December 2014) caused by hardware or software problems, operator errors or other technical reasons. Between 15 July and 6 September the "OpenGPS" receiver malfunctioned due to an operator error and 437 observations from that time period are removed from the data set leaving 2581 low-elevation events.Raw data files are stored in compressed tar archives each covering one week of observations. For more information see document "readme-gleser-dataset.pdf".(2) "OpenGPS" receiver software: The compressed tar archive "gleser-OpenGPS-src.tar.gz" includes (C code) sources of the OpenGPS receiver hardware. The receiver software is designed for "OpenSourceGPS"-compatible hardware (Kelley, 2002) and Linux operating system. During the 2014 campaign kernel version 2.6.32 (OpenSUSE version 11.3) with real-time extension module RTAI (RealTime Application Interface for Linux) version 3.8.1 was used. For more information see the document "readme-gleser-OpenGPS.pdf". (3) MATLAB source code: The compressed tar archive "gleser-readdata-src.tar.gz" contains a MATLAB function file that may be used to access the raw data files. For more information see the document "readme-gleser-readdata.pdf".
    Schlagwort(e): global navigation satellite system (GNSS) ; global positioning system (GPS) ; open-loop signal tracking ; atmospheric refractivity ; ground-based obervation
    Materialart: Dataset
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    Isábena 2011 - An EnMAP Preparatory Flight Campaign (Datasets) (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-06-12
    Beschreibung: Abstract
    Beschreibung: The dataset is composed of a) hyperspectral imagery acquired with AISA Eagle and Hawk imaging spectrometer data in the range 400 to 2500 nm on April 2 and August 9, 2011, with a ground sampling distance of 4 m in 12 and 15 flight lines, respectively; b) airborne LiDAR data acquired in single-pulse mode in August 2011 concurrent with hyperspectral data acquisition with an avarage point density of 0.7 hits per meter squared; c) spectral reference measurements acquired with a portable ASD field spectroradiometer around the days of image acquisitions d) fractional cover of green vegetation, dry vegetation, bare soil and rock were visually estimated for 60 (April) and 53 (August) transects of 20-m length. The overall goal of the study was to investigate the potential of hyperspectral and LiDAR data for assessing sediment connectivity at the hillslope to subcatchment scale. For that the fractional cover of green vegetation, dry vegetation, bare soil and rock was derived by applying a multiple endmember spectral mixture analysis approach to the hyperspectral image data. The LiDAR point clouds were pre-processed to generate a digital elevation map as well as a vegetation height map, both with 4-m spatial resolution.
    Beschreibung: Other
    Beschreibung: The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
    Schlagwort(e): Imaging Spectroscopy ; Airborne Laserscanning ; Mediterranean drylands ; Ground fractional cover
    Sprache: Englisch
    Materialart: Dataset , Dataset
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    The Combined Gravity Model GOCO05c (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-10-04
    Beschreibung: Abstract
    Beschreibung: GOCO05c is a static global combined gravity field model up to d/o 720. It has been elaborated by the GOCO Group (TU Munich, Bonn University, TU Graz, Austrian Academy of Sciences, University Bern). GOCO05c is a combination model based on the satellite-only gravity field model GOCO05s and several gravity anomaly datasets, constituting a global 15'x15' data grid. The combination is carried out in term of full normal equation systems.Contributing Institutions are: (1) TU Muenchen, DE, Institute of Astronomical and Physical Geodesy; (2) University of Bonn, DE, Institute of Geodesy and Geoinformation; (3) TU Graz, AU, Institute of Theoretical and Satellite Geodesy; (4) Austrian Academy of Sciences, Space Research Institute, and (5) University of Bern, CH, Astronomical Institute
    Beschreibung: Other
    Beschreibung: Global 15’x15’ data grid: Region (Source): Number of data cellsArctic (ArcGP Group): 44522Australia (Curtin University):11170Canada (NRCan):19259Europe (IfE Hanover):15625Oceans (DTU Space): 691818South America (NGA): 24818USA (NGA): 12895For the remaining land areas (Central America, Asia, Africa, Antarctica) fill-in datasets were used: Data (Source): Number of data cells NIMA96 (DMA/GSFC): 110594GOCO05s (GOCO Group): 106099 (band-limited gravity anomalies)RWI_TOIS2012 (KIT): 117737 (topographic anomalies)GOCO05c should not be used for geophysical applications in fill-in regions, because its high frequency part in fill-in regions resulted from simple synthetic numeric forward modelling of topographic information.
    Schlagwort(e): ICGEM ; global gravitational model ; GOCO ; Geodesy ; GOCE
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Format: 14167050 Bytes
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    The Combined Gravity Model GGM05C (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-10-04
    Beschreibung: Abstract
    Beschreibung: GGM05C is an unconstrained global gravity model complete to degree and order 360 determined from 1) GRACE K-band intersatellite range-rate data, GPS tracking and GRACE accelerometer data, 2) GOCE gradiometer data (ZZ+YY+XX+XZ) spanning the entire mission using a band pass filter of 10-50 mHz and polar gap filled with synthetic gradients from GGM05S to degree/order 150 evaluated at 200-km altitude, and 3) terrestrial gravity anomalies from DTU13 (Andersen et al., 2014). The value for C20 has been replaced with a value derived from satellite laser ranging. No rate terms were modeled. For additional details on the background modeling, see the CSR RL05 processing standards document available at ftp://podaac.jpl.nasa.gov/allData/grace/docs/L2-CSR0005_ProcStd_v4.0.pdf (Bettadpur 2012). Detailed information about GGM05C is available at ftp://ftp.csr.utexas.edu/pub/grace/GGM05/README_GGM05C.pdf (Ries et al., 2016).
    Schlagwort(e): ICGEM ; global gravitational model ; GRACE ; GOCE
    Sprache: Englisch
    Materialart: Dataset , Dataset
    Format: 1734765 Bytes
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    EIGEN-6S4 A time-variable satellite-only gravity field model to d/o 300 based on LAGEOS, GRACE and GOCE data from the collaboration of GFZ Potsdam and GRGS Toulouse (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-10-04
    Beschreibung: Abstract
    Beschreibung: EIGEN-6S4 (Version 2) is a satellite-only global gravity field model from the combination of LAGEOS, GRACE and GOCE data. All spherical harmonic coefficients up to degree/order 80 are time variable. Their time variable parameters consist of drifts as well as annual and semi-annual variations per year. The time series of the time variable spherical harmonic coefficients are based on the LAGEOS-1/2 solution (1985 to 2003) and the GRACE-LAGEOS monthly gravity fields RL03-v2 (August 2002 to July 2014) from GRGS/Toulouse (Bruinsma et al. 2009).The herein included GRACE/LAGEOS data were combined with all GOCE data which have been processed via the direct numerical approach (Pail et al. 2011). The polar gap instabilty has been overcome using the Sperical Cap Regularization (Metzler and Pail 2005). That means this model is a combination of LAGEOS/GACE with GO_CONS_GCF_2_DIR_R5 (Bruinsma et al. 2013).Version History: This data set is an updated version of Foerste et al. (2016, http://doi.org/10.5880/icgem.2016.004) Compared to the first version, EIGEN-6S4v2 contains an improved modelling of the time variable part, in particular for C20.
    Schlagwort(e): ICGEM ; Global Gravitational Model ; GRACE ; GOCE ; LAGEOS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITATIONAL FIELD
    Materialart: Dataset
    Format: 8651697 Bytes
    Format: 3 Files
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    Spannungskarte Deutschland 2016 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-10-19
    Beschreibung: Abstract
    Beschreibung: Die Spannungskarte Deutschland zeigt die Orientierung der gegenwärtigen maximalen horizontalen Spannung (SHmax) in der Erdkruste. Unter der Annahme, dass die vertikale Spannung (SV) eine Hauptspannung ist, legt SHmax die Orientierung des 3D Spannungstensors festgelegt; die minimale horizontale Spannung Shmin ist entsprechend senkrecht zu SHmax. In der Spannungskarte sind die SHmax Orientierungen als Linien unterschiedlicher Länge dargestellt. Die Länge der Linie ist dabei ein Maß für die Datenqualität und das Symbol zeigt die Methode und die Farbe das Spannungsregime an. Daten mit E-Qualität sind ohne weitere Information als Punkte in der Karte dargestellt. Die Spannungsdaten sind frei zugänglich und Bestandteil des World Stress Map (WSM) Projektes. Weitere Informationen zu den Daten und Kriterien der Datenanalyse und Qualitätszuordnung befinden sich auf der WSM Internetseite unter http://www.world-stress-map.org. The English version of the World Stress Map Germany is available via http://doi.org/10.5880/WSM.Germany2016_en.
    Schlagwort(e): crustal stress ; in situ stress ; tectonic stress ; crustal stress pattern ; World Stress Map
    Materialart: Dataset
    Format: 9902687 Bytes
    Format: 1 Files
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  • 81
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    EMCA Central Asia seismic source model (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2023-12-07
    Beschreibung: Abstract
    Beschreibung: Version History11 Sep 2019: Release of Version 1.1 with the following changes: (1) new licence: CC BY SA 4.0, modification of the title: removal of file name and version); (2) addition of ORIDs when available; (3) actualisation of affiliations for some authors The metadata of the first version 1.0 is available in the download folder.. Data and file names remain unchanged.Area Source model for Central AsiaThe area sources for Central Asia within the EMCA model are defined by mainly considering the pattern of crustal seismicity down to 50 km depth. Although tectonic and geological information, such as the position and strike distribution of known faults, have also been taken into account when available. Large area sources (see, for example source_id 1, 2, 5, 45 and 52, source ids are identified by parameter “source_id” in the related shapefile) are defined where the seismicity is scarce and there are no tectonic or geological features that would justify a further subdivision. Smaller area sources (e.g., source_id values 36 and 53) have been designed where the seismicity can be assigned to known fault zones.In order to obtain a robust estimation of the necessary parameters for PSHA derived by the statistical analysis of the seismicity, due to the scarcity of data in some of the areas covered by the model, super zones are introduced. These super zones are defined by combining area sources based on similarities in their tectonic regime, and taking into account local expert’s judgments. The super zones are used to estimate: (1) the completeness time of the earthquake catalogue, (2) the depth distribution of seismicity, (3) the tectonic regime through focal mechanisms analysis, (4) the maximum magnitude and (5) the b values via the GR relationship.The earthquake catalogue for focal mechanism is extracted from the Harvard Global Centroid Moment Tensor Catalog (Ekström and Nettles, 2013). For the focal mechanism classification, the Boore et al. (1997) convention is used. This means that an event is considered to be strike-slip if the absolute value of the rake angle is 〈=30 or 〉=150 degrees, normal if the rake angle is 〈-30 or 〉-150 and reverse (thrust) if the rake angle is 〉30 or 〈150 degrees. The distribution of source mechanisms and their weights are estimated for the super zones.For area sources, the maximum magnitude is usually taken from the historical seismicity, but due to some uncertainties in the magnitudes of the largest events, the opinions of the local experts are also included in assigning the maximum magnitude to each super zone. Super zones 2 and 3, which belongs to stable regions, are each assigned a maximum magnitude of 6, after Mooney et al. (2012), which concludes after analyses and observation of modern datasets that at least an event of magnitude 6 can occur anywhere in the world. For hazard calculations, each area source is assigned the maximum magnitude of their respective super zone.For processing the GR parameters (a and b values) for the area sources, the completeness analysis results estimated for the super zones are assigned to the respective smaller area sources. If the individual area source has at least 20 events, the GR parameters are then estimated for the area source. Otherwise, the b value is adopted from the respective super zone to which the smaller area source belongs, and the a value is estimated based on the Weichert (1980) method. This ensures the stability in the b value as well as the variation of activity rate for different sources.The hypocentral depth distribution is estimated from the seismicity inside each super zone. The depth distribution is considered for maximum up to three values. Based on the number of events, the weights are assigned to each distribution. These depth distributions, along with corresponding weights, are further assigned to the area sources within the same super zones.
    Beschreibung: Other
    Beschreibung: Distribution file: "EMCA_seismozonesv1.0_shp.zip"Version: v1.0Release date: 2015-07-30Format: ESRI ShapefileGeometry type: polygonsNumber of features: 63Spatial Reference System: +proj=longlat +ellps=WGS84 +datum=WGS84 +no_defsDistribution file: "EMCA_seismozonesv1.0_nrml.zip"Version: v1.0Release date: 2015-07-30Format: NRML (XML) Format compatible with the GEM OpenQuake platform (http://www.globalquakemodel.org/openquake/about/platform/)Feature attributes:src_id : Id of the seismic sourcesrc_name : Name of the seismic sourcetect_reg: Tectonic regime of the seismic sourceupp_seismo : Upper level of the the seismogenic depth (km)low_seismo : Lower level of the seismogenic depth (km)mag_scal_r: Magnitude scaling relationshiprup_asp_ra: Rupture aspect ratiomfd_type : Magnitude frequency distribution typemin_mag: Minimum magnitude of the magnitude frequency relationshipmax_mag: Maximum magnitude of the magnitude frequency relationshipa_value: a value of the magnitude frequency relationshipb_balue : b value of the magnitude frequency relationshipnum_npd: number of nodal plane distributionweight_1 : weight of 1st nodal plane distributionstrike_1: Strike of the seismic source (degrees)rake_1: rake of the seismic source (degrees)dip_1: dip of the seismic source (degrees)num_hdd: number of hypocentral depth distributionhdd_d_1: Depth of 1st hypocentral depth distribution (km)hdd_w_1: Weight of 1st hypocentral depth distribution
    Schlagwort(e): seismogenic sources ; central asia ; EMCA ; GEM ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE MAGNITUDE/INTENSITY ; EARTH SCIENCE SERVICES 〉 DATA MANAGEMENT/DATA HANDLING 〉 CATALOGING
    Materialart: Dataset
    Format: 1 Files
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  • 82
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    Lastarria volcano experiment (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-02-23
    Beschreibung: Abstract
    Beschreibung: The network consistes in 6 stations surronding the fumarole field at Lastarria volcano. These stations were operative during one month with the final purpose of detect changes in the hydrothermal system triggered by passing of seismic waves produced by artificial explosions. Waveform data are available from the GEOFON data centre, under network code 2G, and are embargoed until 001 2019.
    Schlagwort(e): Broadband seismic waveforms ; Seismic monitoring ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Materialart: Dataset , Seismic Network
    Format: approx. 9 GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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  • 83
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    Jailolo network, West Halmahera - Indonesia 2016/2018 (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-02-23
    Beschreibung: Abstract
    Beschreibung: The Halmahera island belongs to the North Moluccas province (Maluku Utara), Indonesia. This K-shaped island is located in the eastern part of the Moluccas Sea, the only active arc-arc collision complex on the Earth. The western arm of the K forms a volcanic arc due to the former subduction of the Moluccas Sea plate underneath Halmahera. The region is characterized by intense seismic activity at crustal, intermediate depth, and along the subducting plate. At crustal level the Halmahera seismicity along the two eastern arms of the K show strike-slip faulting style. In November 2015 a localized intense and energetic seismic activity started around Jailolo volcano in the West Halmahera Regency. The seismic sequence intermittently lasted until February 2016 and hundreds of events were felt by the population and several buildings were destroyed and damaged by the shaking. The largest shocks of the sequence have been located by global agencies (GEOFON and GCMT) showing normal faulting style. The temporal evolution of the seismicity seems to be more swarm-like type activity instead of mainshock-aftershock sequence. In spring 2016 a research project has been funded by the German's Humanitarian Aid program in collaboration with BMKG, Indonesia, with the goal of understanding the origin of the intense seismic activity and the related hazard. In summer 2016 we instrumented the area with a dense seismic network composed of 29 short period and 6 broad-band seismometers. The instruments deployment aims at characterizing the seismicity of the Jailolo region in relationship with the 2015-2016 seismic activity. The network will help to understand the seismo-tectonic of the area and the relation between seismicity and the volcanic activity at Jailolo volcano and possible link with the 2015-2016 swarm. Should the seismic activity intensify as in November 2015, we can record it and narrow down the underlying physical mechanisms. Waveform data are available from the GEOFON data centre, under network code 7G, and are embargoed until the end of 2021.
    Schlagwort(e): Broadband seismic waveforms ; Seismic monitoring ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Materialart: Dataset , Seismic Network
    Format: approx. 900GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    Landscape Response to the Mw7.9 Gorkha Earthquake (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-04-23
    Beschreibung: Abstract
    Beschreibung: Strong earthquakes cause transient perturbations of the near Earth’s surface system. These include the widespread landsliding and subsequent mass movement and the loading of rivers with sediments. In addition, rock mass is shattered during the event, forming cracks that affect rock strength and hydrological conductivity. Often overlooked in the immediate aftermath of an earthquake, these perturbations can represent a major part of the overall disaster with an impact that can last for years before restoring to background conditions. Thus, the relaxation phase is part of the seismically induced change by an earthquake and needs to be monitored in order to understand the full impact of earthquakes on the Earth system. Early June 2015, shortly after the April 2015 Mw7.9 Gorkha earthquake, we installed an array of 12 seismometers and geophones and 6 weather stations in the upper Bhotekoshi catchment, covering an area of ~50 km2. The seismic network was optimized for the monitoring of Earth surface processes (landsliding, mass wasting river processes, debris flows) and for the monitoring of properties of the shallow subsurface by coda analysis. To achieve the latter aim and to probe different scales and depths, seismometers were installed with inter-station distances from about 80m to 9km. In particular, in each of two locations close to the Bhotekoshi river, three seismometers were installed in small arrays with inter-station distances of about 100m. The seismic array is part of a wider data acquisition strategy including hydrometric measurements and high resolution optical (RapidEye) and radar imagery (TanDEM TerraSAR-X). Waveform data is available from the GEOFON data centre, under network code XN.
    Schlagwort(e): Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; MiniSEED ; Passive seismic ; Seismometers ; Local network ; HART ; Temporary[g]
    Materialart: Dataset , Seismic Network
    Format: Over 500 GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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  • 85
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    Sri Lanka temporary broadband network (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-05-21
    Beschreibung: Abstract
    Beschreibung: A temporary seismic network was installed in Sri Lanka for a time period of 13 months. The stations were equipped with Earth Data EDR-210 digital recorders and Trillium 120 PA, Güralp C3E and Güralp CMG-3ESP broadband sensors. Main aim of the network is to shed light on the crustal and upper mantle structure beneath the island. Also local seismic activity is studied.
    Schlagwort(e): Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI
    Materialart: Dataset , Seismic Network
    Format: 295GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 86
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    Array in Wittewierum, Netherlands (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-05-21
    Beschreibung: Abstract
    Beschreibung: A temporary installation has been realized in the Netherlands, in the region of the Groningen gas field. The objective of this installation is to test the usage of a conventional array layout for detection of microseismicity. The region of the Groningen gas field is an excellent test ground, since the operating company NAM (Nederlandse Aardolie Maatschappij) installed a multitude of shallow borehole stations from 2014 to 2017, of which 65 – in addition to the already existing shallow borehole stations installed by KNMI (Koninklijk Nederlands Meteorologisch Instituut) – were already online during the time of measurement, thus ensuring an earthquake catalogue that is complete down to low magnitudes during the time of array installation. The site for the installation was decided together with local parties involved in the seismicity monitoring, i.e. KNMI and NAM, and was located close to the village of Wittewierum. Stations were installed from the 12th of July 2016 to the 29th of August 2016 (49 days). The array was composed of 9 stations. The array was constructed in three concentric rings of 75 m, 150 m and 225 m diameter including a central station, but the geometry had to be adapted to the local conditions. Each station consisted of a broadband sensor (Trillium 120 s), an acquisition system (CUBE datalogger), a battery, and a GPS antenna. The entire system was installed at ~1 m depth (apart from GPS and transmission antennas), requiring only the digging of shallow holes, one for the installation of a thin concrete plate and the sensor, another one for a box containing the remaining instrumentation. The array stations recorded continuously with little outages; only station WAR1 stopped recording on the 22nd of August and station WAR7 stopped recording from 20th to 22nd of August. Waveform data is available from the GEOFON data centre, under network code 1C, and is fully open.
    Schlagwort(e): Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI
    Materialart: Dataset , Seismic Network
    Format: 54GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 87
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    Unbekannt
    TOMO-ETNA (2015)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-05-21
    Beschreibung: Abstract
    Beschreibung: The TOMO-ETNA experiment was focused on the base of generation and acquisition of seismic signal (active and passive) at Mt. Etna volcano and surrounding area. The terrestrial campaign consists in the deployment of 80 short-period three-component seismic stations (June 15 to July24), 17 Broadband seismometers (June 15 to October 30) provided by Helmholtz Centre Potsdam (GFZ) German Research Centre for Geosciences using the German Geophysical Instrument Pool Potsdam (GIPP Gerätepool Geophysik), and the coordination with 133 permanent seismic station belonging to the “Istituto Nazionale di Geofisica e Vulcanologia” (INGV) of Italy. This temporary seismic network recorded active and passive seismic sources. Active seismic sources were generated by an array of air-guns mounted in the Spanish Oceanographic vessel “Sarmiento de Gamboa” with a power capacity of up to 5.200 cubic inches. In total more than 26.000 shots were fired and more than 450 local and regional earthquakes were recorded. Until July the Oceanographic Vessel “Sarmiento de Gamboa” and the hydrographic vessel “Galatea” were responsible for the offshore activities, that included deployment of OBSs, and several marine activities. The vessel “Aegaeo” performed additional seismic, magnetic and gravimetric experiments until the end of November 2014. This experiment was part of the “Task 5.3 - Mt. Etna structure” of the “EU MED-SUV Project” concerned with the investigation of Mt. Etna volcano (seismic tomography experiment - TOMO-ETNA) by means of passive and active refraction/reflection seismic methods. It focused on the investigation of Etna’s roots and surrounding areas by means of passive and active seismic methods. Therefore, this experiment included activities both on-land and offshore with the main objective to obtain a new high-resolution tomography in order to improve the 3D image of the crustal structures existing beneath the Etna volcano and the northeast Sicily (Peloritani - Nebrodi chain) up to the Aeolian Islands. Waveform data are open and available from the GEOFON data centre, under network code 1T.
    Schlagwort(e): Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI ; Volcano
    Materialart: Dataset , Seismic Network
    Format: 137GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 88
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    Unbekannt
    Renland (2016)
    GFZ Data Services
    Details
    Publikationsdatum: 2024-05-21
    Beschreibung: Abstract
    Beschreibung: The experiments are performed down the Edward Bailey valley, in the Renland peninsula, Scoresby Sund, Greenland. General purpose: ambient seismic noise recordings are obtained to characterize the geometry/structure of the valley the geometry/structure of the glaciers the microseismicity of the glacier, the friction process, crack orientation and mechanisms the seismic activity of glacial rivers, the relation between hydrological flow and noise spectrum the localization and characterization of sub-glacial flow from surface recordings. Seismic stations were composed of 3C broadband Trillium compact seismometer, a Cube datalogger and a 12V (D-cell types, stacked) battery pack.The experiment splits into three surveys performed at three different sites, one after the other, from july to august 2016. In the first experiment, we deploy 11 stations, 9 of them on a flat sandy area covering, partly, immobile ice that seems to be blocked between the Bailey Glacier (upstream) and the Apusinikajik glacier (downstream). The 9 sensors are placed a few hundreds of meters from the Apusinikajik lateral front, the last 2 are placed on the glacier next to the collapsing front. In the second and third experiment (chronologically speaking), we deploy 10 and 8 stations, respectively. Each deployment is performed along a Bailey valley transect. The first one intercepts the front-end of the glacier and the sub-glacial river exit (flow of several m3/s). The second transect is performed some 850m upstream. Waveform data are available from the GEOFON data centre, under network code 3H, and are embargoed until summer of 2019.
    Schlagwort(e): Monitoring system ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI
    Materialart: Dataset , Seismic Network
    Format: 8.2GB
    Format: .mseed
    Format: XML
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN GFZ
  • 89
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    Unbekannt
    Upper air soundings during POLARSTERN cruise PS94 (ARK-XXIX/3) (2015)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publikationsdatum: 2023-03-16
    Beschreibung: The upper air soundings are normally performed once a day to measure vertical profiles of air pressure, temperature, relative humidity and the wind vector. Helium filled balloons (TOTEX 600 g, 800 g) were used to carry Vaisala RS92-SGPW radiosondes. Whenever possible, the launches were performed about 10 UTC. Condensed measurements (TEMP Format FM-35) were transferred without delay into the Global Telecommunication System GTS were they contribute for the world wide weather forecasts. The profile data were taken every 5-10 seconds which result in a vertical profile resolution of about 25-50 meter. The profiles start at the helideck 10 m above sea level and terminate at the burst level of the balloons, normally at heights between 25 and 37 km.
    Schlagwort(e): AWI_Meteo; Meteorological Long-Term Observations @ AWI
    Materialart: Dataset
    Format: application/zip, 90 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 90
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    Unbekannt
    High-resolution IP25 of three sediment cores in the western North Pacific and Bering Sea (2015)
    PANGAEA
    In:  Supplement to: Méheust, Marie; Stein, Ruediger; Fahl, Kirsten; Max, Lars; Riethdorf, Jan-Rainer (2015): High-resolution IP25-based reconstruction of sea-ice variability in the western North Pacific and Bering Sea during the past 18,000 years. Geo-Marine Letters, https://doi.org/10.1007/s00367-015-0432-4
    Details
    Publikationsdatum: 2023-03-16
    Beschreibung: Due to its strong influence on heat and moisture exchange between the ocean and the atmosphere, sea ice is an essential component of the global climate system. In the context of its alarming decrease in terms of concentration, thickness and duration, understanding the processes controlling sea-ice variability and reconstructing paleo-sea-ice extent in polar regions have become of great interest for the scientific community. In this study, for the first time, IP25, a recently developed biomarker sea-ice proxy, was used for a high-resolution reconstruction of the sea-ice extent and its variability in the western North Pacific and western Bering Sea during the past 18,000 years. To identify mechanisms controlling the sea-ice variability, IP25 data were associated with published sea-surface temperature as well as diatom and biogenic opal data. The results indicate that a seasonal sea-ice cover existed during cold periods (Heinrich Stadial 1 and Younger Dryas), whereas during warmer intervals (Bølling-Allerød and Holocene) reduced sea ice or ice-free conditions prevailed in the study area. The variability in sea-ice extent seems to be linked to climate anomalies and sea-level changes controlling the oceanographic circulation between the subarctic Pacific and the Bering Sea, especially the Alaskan Stream injection though the Aleutian passes.
    Schlagwort(e): AWI_Paleo; Paleoenvironmental Reconstructions from Marine Sediments @ AWI
    Materialart: Dataset
    Format: application/zip, 3 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 91
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    Unbekannt
    SEAFOS seal census survey at Filchner Outflow System during campaign FIL2014 (2015)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publikationsdatum: 2023-03-16
    Beschreibung: FIL2013: Polar 6 conducted a systematic digital photographic aerial survey of the area of the Filchner Outflow System during two survey flights from Halley VI on 15 and 16 November 2013. The total survey distance covered 3,000 km each on 15 (eastern section) and 16 (western section) November 2013. Due to a low cloud ceiling on 15 November, the first flight operation was terminated prematurely and thus the westernmost track could not be flown. This track was flown on 16 November, and the total number of tracks numbered 11 instead of 12 as had been planned originally. FIL2014: Visual surveys of pack ice seals using helicopters were conducted from 4 January to 9 February 2014 from aboard RV Polarstern (PS82). For all seal related operations (including deployments of satellite transmitte rs and reconnaissance flights) a total of 30:13 hours during 20 flights were flown (MIN 0:11; MAX 3:13). The survey region was sampled by flying systematically spaced line transects (parallel lines approximately 10 nm apart) whenever ship position and weather conditions allowed, with out clustering transects in areas of easier access. When a full transect length could not be flown on a day, we attempted to complete (extend) the particular transect on a following day.
    Schlagwort(e): Marine Mammal Tracking; MMT
    Materialart: Dataset
    Format: application/zip, 5 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 92
    facet.materialart.
    Unbekannt
    Upper air soundings during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN) (2016)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    Publikationsdatum: 2023-03-16
    Beschreibung: The upper air soundings are normally performed once a day to measure vertical profiles of air pressure, temperature, relative humidity and the wind vector. Helium filled balloons (TOTEX 600 g, 800 g) were used to carry Vaisala RS92-SGPW radiosondes. Whenever possible, the launches were performed about 10 UTC. Condensed measurements (TEMP Format FM-35) were transferred without delay into the Global Telecommunication System GTS were they contribute for the world wide weather forecasts. The profile data were taken every 5-10 seconds which result in a vertical profile resolution of about 25-50 meter. The profiles start at the helideck 10 m above sea level and terminate at the burst level of the balloons, normally at heights between 25 and 37 km.
    Schlagwort(e): AWI_Meteo; Meteorological Long-Term Observations @ AWI
    Materialart: Dataset
    Format: application/zip, 136 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 93
    facet.materialart.
    Unbekannt
    Bulk mineralogy and membership degrees of sediments from the Heihai lake area (2016)
    PANGAEA
    In:  Supplement to: Ramisch, Arne; Lockot, Gregori; Haberzettl, Torsten; Hartmann, Kai; Kuhn, Gerhard; Lehmkuhl, Frank; Schimpf, Stefan; Schulte, Philipp; Stauch, Georg; Wang, Rong; Wünnemann, Bernd; Yan, Dada; Zhang, Yongzhan; Diekmann, Bernhard (2016): A persistent northern boundary of Indian Summer Monsoon precipitation over Central Asia during the Holocene. Scientific Reports, 6, 25791, https://doi.org/10.1038/srep25791
    Details
    Publikationsdatum: 2023-03-13
    Beschreibung: Extra-tropical circulation systems impede poleward moisture advection by the Indian Summer Monsoon. In this context, the Himalayan range is believed to insulate the south Asian circulation from extra-tropical influences and to delineate the northern extent of the Indian Summer Monsoon in central Asia. Paleoclimatic evidence, however, suggests increased moisture availability in the Early Holocene north of the Himalayan range which is attributed to an intensification of the Indian Summer Monsoon. Nevertheless, mechanisms leading to a surpassing of the Himalayan range and the northern maximum extent of summer monsoonal influence remain unknown. Here we show that the Kunlun barrier on the northern Tibetan Plateau [~36°N] delimits Indian Summer Monsoon precipitation during the Holocene. The presence of the barrier relocates the insulation effect 1,000 km further north, allowing a continental low intensity branch of the Indian Summer Monsoon which is persistent throughout the Holocene. Precipitation intensities at its northern extent seem to be driven by differentiated solar heating of the Northern Hemisphere indicating dependency on energy-gradients rather than absolute radiation intensities. The identified spatial constraints of monsoonal precipitation will facilitate the prediction of future monsoonal precipitation patterns in Central Asia under varying climatic conditions.
    Schlagwort(e): AWI_PerDyn; Permafrost Research (Periglacial Dynamics) @ AWI
    Materialart: Dataset
    Format: application/zip, 17 datasets
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 94
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    Unbekannt
    Impact of pH on growth of the chemolithoautotrophic epsilonproteobacterium GD1 (2015)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): BIOACID; Biological Impacts of Ocean Acidification; Cell density; Cell density, standard deviation; Figure; pH; Species
    Materialart: Dataset
    Format: text/tab-separated-values, 43 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 95
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    Unbekannt
    A-MC-ICP-MS boron isotope data for pH reconstruction using Clathromorphum nereostratum (Figure 4 c) (2015)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): Aleutian Islands Alaska; Attu_Island; BIOACID; Biological Impacts of Ocean Acidification; Constant; Distance; DIVER; pH; Sample code/label; Sampling by diver; δ11B
    Materialart: Dataset
    Format: text/tab-separated-values, 455 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 96
    facet.materialart.
    Unbekannt
    Experiment on marine fungus Microascus brevicaulis strain: Comparative growth curves of LF580 and LF580-M26 (2015)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): Biomass; Biomass, standard error; Experiment day; pH; pH, standard deviation; Species; Strain; Time in hours
    Materialart: Dataset
    Format: text/tab-separated-values, 288 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 97
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    Unbekannt
    (Table S1) Bottom water temperature, salinity and carbonate system parameters at CO2 vents in the Columbretes Islands Marine Reserve (2015)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Aragonite saturation state, standard deviation; Bottom water temperature; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; CIMR_V1-3_C1-3; Columbretes Islands, Mediterranean Sea; CTD/STD SD204, SAIV A/S; DATE/TIME; Group; MULT; Multiple investigations; pH; pH, standard deviation; Potentiometric open-cell titration; Salinity; Site
    Materialart: Dataset
    Format: text/tab-separated-values, 120 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 98
    facet.materialart.
    Unbekannt
    (Appendix 3) General and physico-chemical characteristics of monitoring site Pok-01 (2016)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): Acidity; Alkalinity, total; Ammonium; AWI_PerDyn; AWI_POK-01; AWI Arctic Land Expedition; Bottom water temperature; Conductivity, electrolytic; DATE/TIME; Depth, bottom/max; DEPTH, water; Hardness description; Kytalyk-Pokhodsk_2012, Kolyma2012; Monitoring station; MONS; Nitrate; Oxygen; Permafrost Research (Periglacial Dynamics) @ AWI; pH; Phosphate; RU-Land_2012_Kytalyk_Kolyma; Sample code/label; Siberia, Russia; Temperature, air; Temperature, water; Thaw depth of active layer
    Materialart: Dataset
    Format: text/tab-separated-values, 126 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 99
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    Unbekannt
    (Appendix 8-3) Soil description and pH measurements of the pingo 'Shirokovsky Kholm' (2016)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): AWI_PerDyn; AWI_Pi01; AWI_Pi02; AWI_Pi03; AWI_Pi04; AWI_Pi05; AWI_Pi06; AWI_Pi07; AWI_Pi08; AWI_Pi09; AWI_Pi10; AWI_Pi11; AWI_Pi12; AWI_Pi13; AWI_Pi14; AWI_PiL; AWI Arctic Land Expedition; DEPTH, soil; Depth, soil, maximum; Depth, soil, minimum; East Siberia; Event label; islet1; islet2.center; islet2.wall; Kytalyk-Pokhodsk_2012, Kolyma2012; LAND; Latitude of event; Longitude of event; Permafrost Research (Periglacial Dynamics) @ AWI; pH; RU-Land_2012_Kytalyk_Kolyma; Sampling/measurement on land; Siberia, Russia; Soil horizon; Soil type
    Materialart: Dataset
    Format: text/tab-separated-values, 195 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
  • 100
    facet.materialart.
    Unbekannt
    Physical oceanography of CTD station CTD_20140822 (2016)
    PANGAEA
    Details
    Publikationsdatum: 2023-03-14
    Schlagwort(e): Conductivity; CTD-Acoustic Doppler Current Profiler; CTD-ADCP; CTD-ADCP_20140822; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Fluorescence; Salinity; Temperature, water; Tyrrhenian Sea
    Materialart: Dataset
    Format: text/tab-separated-values, 22440 data points
    Standort Signatur Erwartet Verfügbarkeit
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    DATEN PANGAEA
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