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  • 1
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    The KTH geoid based on Least Squares modification of Stokes integral with additive corrections for the Colorado Experiment: ColLSMSA-KTH2019 (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-08-04
    Description: Abstract
    Description: The ColLSMSA-KTH2019 gravimetric geoid model has been computed by the University of Gävle, the Lantmäteriet and the Royal Institute of Technology (KTH) in Sweden. The model has been worked out in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment" and the so called "Colorado experiment". The area covered by the model is 251°E ≤ longitude ≤ 257°E, 36°N ≤ latitude ≤ 39°N with a grid spacing of 1' in both latitude and in longitude. The quasi-geoid is computed using a two-step procedure. First, the terrestrial and de-biased airborne gravity anomalies are gridded using a Remove-Compute-Restore technique and three-dimensional Least Squares Collocation (LSC) with spherical Tscherning and Rapp (1974) type of covariance functions. This step achieves downward continuation of the airborne gravity data and combination with the terrestrial observations. In the second step, the resulting surface gravity anomaly grid is used to compute height anomalies by using Least Squares Modification of Stokes’ formula with Additive corrections (LSMSA or KTH method). The GEOID17RefB global gravity model up to degree 2190 is used in the first gridding step, while the satellite-only GOCO05S model up to degree 240 is used in the second step. Finally, the classical formula by Heiskanen and Moritz (1967) is used for quasi-geoid to geoid conversion. The accuracy of the geoid model, when compared against GSVS17 GPS/leveling, is equal to 2.7 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.
    Description: Other
    Description: 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).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares modification of Stokes integral with additive corrections ; Colorado experiment ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 2
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    The KTH quasi-geoid based on Least Squares modification of Stokes integral with additive corrections for the Colorado Experiment: ColLSMSA-KTH2019 (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-08-04
    Description: Abstract
    Description: The ColLSMSA-KTH2019 gravimetric quasi-geoid model has been computed by the University of Gävle, the Lantmäteriet and the Royal Institute of Technology (KTH) in Sweden. The model has been worked out in the frame of the International Association of Geodesy Joint Working Group 2.2.2 "The 1 cm geoid experiment" and the so called "Colorado experiment". The area covered by the model is 251°E ≤ longitude ≤ 257°E, 36°N ≤ latitude ≤ 39°N with a grid spacing of 1' in both latitude and in longitude. The quasi-geoid is computed using a two-step procedure. First, the terrestrial and de-biased airborne gravity anomalies are gridded using a Remove-Compute-Restore technique and three-dimensional Least Squares Collocation (LSC) with spherical Tscherning and Rapp (1974) type of covariance functions. This step achieves downward continuation of the airborne gravity data and combination with the terrestrial observations. In the second step, the resulting surface gravity anomaly grid is used to compute height anomalies by using Least Squares Modification of Stokes’ formula with Additive corrections (LSMSA or KTH method). The GEOID17RefB global gravity model up to degree 2190 is used in the first gridding step, while the satellite-only GOCO05S model up to degree 240 is used in the second step. The accuracy of the quasi-geoid model, when compared against GSVS17 GPS/leveling, is equal to 2.8 cm. The quasi-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.
    Description: Other
    Description: 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).
    Keywords: Geodesy ; Geoid model ; ISG ; Least Squares modification of Stokes integral with additive corrections ; Colorado experiment ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Type: Dataset , Dataset
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  • 3
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    cmip5 output1 CSIRO-BOM ACCESS1-0 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 4
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalMisc v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 5
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    Global HAPPI-MIP protocol data based on CAM4-2degree (2018)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Global HAPPI-MIP protocol data based on the CAM4[1]/CLM4 [2] (CAM4-2degree) AGCM developed by the National Center for Atmospheric Research – Department of Energy (NCAR-DOE). CAM4/CLM4 is part of the CESM 1.0.4 model release [3]. This CERA experiment includes data of 521 AMIP simulations within the period 1979-2016, 501 AMIP-like simulations of 2106-2116 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 501 AMIP-like simulations of 2106-2116 representing a climate warmer by 2.0°C than under pre-industrial conditions (1861-1880). Reference: [1] Neale, R. B., Richter, J. H., Conley, A. J., Park, S., Lauritzen, P. H., Gettelman, A., Williamson, D. L., Rasch, P. J., Vavrus, S. J., Taylor, M. A., Collins, W. D., Zhang, M., and Lin, S.-J.: Description of the NCAR Community Atmosphere Model (CAM4). NCAR Tech. Note NCAR/TN-485+STR, National Center for Atmospheric Research, Boulder, CO, 120 pp., 2011. [2] Oleson, K. W., Lawrence, D. M., Bonan, G. B., Flanner, M. G., Kluzek, E., Lawrence, P. J., Levis, S., Swenson, S. C., Thornton, P. E., Dai, A., Decker, M., Dickinson, R., Feddema, J., Heald, C. L., Hoffman, F., Lamarque, J.-F., Mahowald, N., Niu, G.-Y., Qian, T., Randerson, J., Running, S., Sakaguchi, K., Slater, A., Stockli, R., Wang, A., Yang, Z.-L., Zeng, Xi., and Zeng, Xu.: Technical Description of version 4.0 of the Community Land Model (CLM), NCAR Tech. Note NCAR/TN-478+STR, National Center for Atmospheric Research, Boulder, CO, 257 pp., 2010. [3] http://www.cesm.ucar.edu/models/cesm1.0/tags/index.html#CESM1_0_4
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  • 6
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClim v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 7
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClimAerosol v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 8
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    cmip5 output1 CSIRO-BOM ACCESS1-0 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 9
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClim v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 10
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 11
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 midHolocene v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
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  • 12
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 amip v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 13
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    Global HAPPI-MIP protocol data based on MIROC5 (2018)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Global HAPPI-MIP protocol data based on the MIROC5 [1] AGCM developed by the University of Tokyo, NIES and JAMSTEC (MIROC). This CERA experiment includes data of 160 AMIP simulations within the period 1950-2016, 100 AMIP-like simulations of 2106-2116 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 100 AMIP-like simulations of 2106-2116 representing a climate warmer by 2.0°C than under pre-industrial conditions. Reference: [1] https://doi.org/10.1175/2010JCLI3679.1
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  • 14
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    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalNat v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 15
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    cmip5 output1 CSIRO-BOM ACCESS1-3 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 16
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    cmip5 output1 CSIRO-BOM ACCESS1-3 rcp45 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 17
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    cmip5 output1 CSIRO-BOM ACCESS1-0 historicalExt v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 18
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    Unknown
    cmip5 output1 CSIRO-BOM ACCESS1-3 amip v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 19
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 piControl v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 20
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    Unknown
    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalExt v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 21
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    Unknown
    cmip5 output1 CSIRO-BOM ACCESS1-0 historical v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 22
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    Unknown
    cmip5 output1 CSIRO-BOM ACCESS1-3 historical v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 23
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClim4xCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 24
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    cmip5 output1 CSIRO-BOM ACCESS1-3 piControl v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 25
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    cmip5 output1 CSIRO-BOM ACCESS1-3 1pctCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 26
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClim4xCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 27
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    cmip5 output1 CSIRO-BOM ACCESS1-3 historicalGHG v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 28
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    cmip5 output1 CSIRO-BOM ACCESS1-0 piControl v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 29
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    Global HAPPI-MIP protocol data based on CanAM4 (2018)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Global HAPPI-MIP protocol data based on the CanAM4 [1] AGCM developed by the Canadian Centre for Climate Modelling and Analysis (CCCma). This CERA experiment includes data of 100 AMIP simulations of the period 2006-2015, 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 2.0°C than under pre-industrial conditions (1861-1880). Reference: [1] https://doi.org/10.1080/07055900.2012.755610
    Type: experiment
    Format: NetCDF
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  • 30
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    cmip5 output1 CSIRO-BOM ACCESS1-0 rcp45 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 31
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    cmip5 output1 CSIRO-BOM ACCESS1-0 rcp85 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 32
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp85 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
    Format: NetCDF
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  • 33
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp45 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
    Format: NetCDF
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  • 34
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historical v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalNat v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
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  • 36
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 sstClimSulfate v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 37
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 abrupt4xCO2 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
    Type: dataset_group
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  • 38
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    Global HAPPI-MIP protocol data based on NorESM1-HAPPI (2018)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Global HAPPI-MIP protocol data based on the NorESM1-HAPPI [1] AGCM developed by the NCC (NorESM Climate modeling Consortium). This CERA experiment includes data of 135 AMIP simulations within the period 1959-2016, 125 AMIP-like simulations of 2106-2116 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 125 AMIP-like simulations of 2106-2116 representing a climate warmer by 2.0°C than under pre-industrial conditions. Reference: [1] https://doi.org/10.5194/esd-2017-115
    Type: experiment
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  • 39
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    cmip5 output1 CSIRO-BOM ACCESS1-3 rcp85 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
    Type: dataset_group
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  • 40
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClimAerosol v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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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  • 41
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    cmip5 output1 CSIRO-BOM ACCESS1-3 sstClimSulfate v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 42
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    cmip5 output1 CSIRO-BOM ACCESS1-0 amip v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 43
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 historicalGHG v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 44
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp26 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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 .
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  • 45
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    cmip5 output1 CSIRO-QCCCE CSIRO-Mk3-6-0 rcp60 v2015 (2015)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: 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.
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  • 46
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    Global HAPPI-MIP protocol data based on ECHAM6.3 (2018)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Global HAPPI-MIP protocol data based on the ECHAM6.3 [1] AGCM developed by the MPI-M (Max Planck Institute for Meteorology). This CERA experiment includes data of 100 AMIP simulations of the period 2006-2015, five AMIP simulations of 1959-2015, 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 2.0°C than under pre-industrial conditions. The data of the current decade and of the 57-year long simulations are copies of those in https://doi.org/10.1594/WDCC/HAPPI-MIP-global-ECHAM6.3. The other data therein are flawed and are replaced herein by new versions. Reference: [1] doi:10.1002/jame.20015
    Type: experiment
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  • 47
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    Global HAPPI-MIP protocol data based on ECHAM6.3 (Flawed) (2017)
    WDCC
    Details
    Publication Date: 2020-10-13
    Description: Please note that data representing a warmer future climate are flawed by the use of incorrect sea ice coverage data. All data of the 1.5°C and the 2.0°C experiment of this CERA experiment have been replaced by and all data of the current decade and the 57-year-long AMIP experiment have been copied to http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=HAPPI-global-ECHAM6.3_v2. For detailed information refer to that experiment. Global HAPPI-MIP protocol data based on the ECHAM6.3 AGCM developed by the MPI-M (Max Planck Institute for Meteorology). This CERA experiment includes data of five AMIP simulations of the period 1959-2015 and 100 AMIP simulations of 2006-2015. In addition it includes data of 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 1.5°C than under pre-industrial conditions (1861-1880) and 100 AMIP-like simulations of 2106-2115 representing a climate warmer by 2.0°C than under pre-industrial conditions.
    Type: experiment
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  • 48
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    Rock-Water-Ice topographic gravity field model 2015 (RWI 2015 model) (2015)
    GFZ Data Services
    Details
    Publication Date: 2021-08-19
    Description: Abstract
    Description: 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).
    Keywords: 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
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  • 49
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    A data collection of tropical cyclone exposure data sets (TCE-DAT) (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-08-18
    Description: Abstract
    Description: Tropical cyclones (TCs) pose a major risk to societies worldwide. While data on observed cyclones tracks (location of the center) and wind speeds is publicly available these data sets do not contain information on the spatial extent of the storm and people or assets exposed. Here, we provide a collection of tropical cyclone exposure data (TCE-DAT) derived with the help of spatially-explicit data on population densities and Gross Domestic Product (GDP), also available at http://doi.org/10.5880/pik.2017.007. Up to now, this collection contains:1) A global data set of tropical cyclone exposure accumulated to the country/event level http://doi.org/10.5880/pik.2017.0052) A global data set of spatially-explicit tropical cyclone exposure available for all TC events since 1950 http://doi.org/10.5880/pik.2017.008TCE-DAT is considered key information to 1) assess the contribution of climatological versus socioeconomic drivers of changes in exposure to tropical cyclones, 2) estimate changes in vulnerability from the difference in exposure and reported damages and calibrate associated damage functions, and 3) build improved exposure-based predictors to estimate higher-level societal impacts such as long-term effects on GDP, employment, or migration. We expect that the free availability of the underlying model and TCE-DAT will make research on tropical cyclone risks more accessible to non-experts and stakeholders.
    Keywords: climate risk modeling ; socio-economic exposure ; natural disasters
    Type: Dataset , Dataset
    Format: 127250 Bytes
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  • 50
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    Datensatz zu: Open Access an wissenschaftlichen Einrichtungen in Deutschland. Ergebnisse einer Erhebung im Jahr 2018 (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-08-20
    Description: Abstract
    Description: These data are supplementary material to Pampel (2019) and present the results of a quantitative survey on Open Access among scientific institutions in Germany. Both the report and the data are available in German only. 701 German universities and research institutions were invited to take part in this survey. From September to November 2018, 403 academic institutions took part. Hence, it is the most comprehensive survey on Open Access practices to this day.The results provide an overview of the current state of policies on Open Access and of the status of Open Access infrastructures in Germany. In addition, the results enable a better understanding of today’s handling and monitoring of Open Access publication costs. Furthermore, the study describes the status of Open Access monitoring and reports on current transformation strategies to promote Open Access. The project was founded by the German Federal Ministry of Education and Research (BMBF) as part of the Project „Options4OA” and conducted by Heinz Pampel of the Helmholtz Open Science Coordination Office.The project was founded by the German Federal Ministry of Education and Research (BMBF) as part of the Project „Options4OA” and conducted by Heinz Pampel of the Helmholtz Open Science Coordination Office.Version history/ Corrigendum(5 Sep 2019) In version 1.0, incorrect percentages were given for questions for which multiple answers were possible. This error was corrected in version 2.0. The following questions were affected: 6, 7, 9, 11, 12, 13, 14, 16, 17, 19, 21, 24, 26, 29, 31, 34 and 38.
    Keywords: Scholarly Communication ; Open Access ; Repositories ; Academic Libraries ; EARTH SCIENCE SERVICES 〉 EDUCATION/OUTREACH ; policy 〉 scientific policy
    Type: Dataset , Dataset
    Format: 2 Files
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  • 51
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    Supplementary Data to: “Bedrock Geology of DFDP-2B, Central Alpine Fault, New Zealand" (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-08-27
    Description: Abstract
    Description: These data are supplementary material to “Bedrock Geology of DFDP-2B, Central Alpine Fault, New Zealand” (Toy et al., 2017, http://doi.org/10.1080/00288306.2017.1375533). The data tables SF3 and SF4 are provided as well as Excel as well as CSV and PDF versions (in the zip folder). The table numbers below are referring to Toy et al. (2017): Toy_SF1.pdf (Data Description): Supplementary Data to “Bedrock Geology of DFDP-2B, Central Alpine Fault, New Zealand”, including supplementary methods, Information on reference frames and corrections, and protocols for thin section preparation and scanning electron microscopic analyses. Toy_SF2: Table S1. Time vs. depth during drilling, with lag dip corrections Toy_SF3: Table S2. Energy dispersive spectroscopy (EDS) data acquired using a TESCAN Integrated Mineral Analyzer (TIMA) and phases detected by mineral liberation analysis (MLA) Toy_SF4: Table S3. Electron backscatter diffraction (EBSD) grain sizes.
    Keywords: Alpine Fault ; New Zealand ; scientific drilling ; mylonite ; cataclasite ; energy dispersive spectroscopy ; TESCAN Integrated Mineral Analyzer ; mineral liberation analysis ; electron backscatter diffraction
    Type: Dataset
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    DATA GFZ
  • 52
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    Survey Mode GPS data in the IPOC Region, Central Andes, Chile (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-08-13
    Description: Abstract
    Description: The survey-mode GPS (sGPS) network in the IPOC region consists of 91 geodetic markers. Over the last decade, the positions of these points in the network have been periodically measured, thus enabling us to quantify the decadal patterns of deformation processes. This temporal catalogue of coordinates complement the continuous GPS (cGPS) array. Meta-data and raw data in Rinex format for the surveys carried out in 2008, 2011, 2013, 2014, 2015, and 2016 are available for 91 sites in the north of Chile and the northwest of Argentina. Included in this temporal catalogue are observations made shortly after the 2014 Pisagua-Iquique earthquake. Detailed information about data availability, metadata and site descriptions can be found at: https://kg189/gnss/IPOCSGPS. More description about the Integrated Plate Boundary Observatory Chile (IPOC) can be found at the IPOC Website (www.ipoc-network.org) and on the sGPS Survey on www.ipoc-network.org/associated-projects/gps-campaigns/.
    Keywords: GPS ; Chile ; earthquakes ; subduction zone ; active deformation ; monitoring ; IPOC ; Integrated Plate Boundary Observatory Chile
    Language: English
    Type: Dataset
    Format: 2 Files
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  • 53
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    δ13C(organic), C/N mass ratios and %TOC for Continent Ridge core CON01-603-5 (2006)
    Deutsches GeoForschungsZentrum GFZ
    Details
    Publication Date: 2021-08-16
    Description: Abstract
    Description: C/N mass ratios remain constant throughout MIS 3 and into MIS 2, with values between 6.3 and 8.9, indicating no significant terrestrial input of organic matter (Fig. 3). Low %TOC values during the interstadial increase from 0.4 to 0.7 between 57.8 and 43.7 kyr BP with a concurrent gradual increase in δ13C(organic) amid oscillations between −23.2‰ and −26.1‰ (Fig. 3). %TOC falls to 0.4 between 40.9 and 39.4 kyr BP whereas δ13C(organic) remains high at c. 24‰ with a peak value of −23.6‰ at 39.4 kyr BP. The subsequent two-stage increase in %TOC from 39 to 37.9 kyr BP and between 37.3 and 36.9 kyr BP is marked by a period of δ13C(organic) lowering to c. −26.6‰ before δ13C(organic) increases after 37.9 kyr BP to −24.8‰, values comparable to those prior to the %TOC decline at 40.9 kyr BP.
    Keywords: Vereshchagin Long Cores Expedition 2001 ; R/V Vereshchagin ; δ13C ; age (calendar years) ; AMS ; calculation ; Carbon/Nitrogen ratio ; correlation of paleointensity records ; total organic carbon ; AMS
    Language: English
    Type: Dataset , Dataset
    Format: 400 Datapoints
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    The experimental gravity field model XGM2016 (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-09-02
    Description: Abstract
    Description: The experimental gravity field model XGM2016 is an outcome of TUM's assessment of a 15'x15' data grid excerpt provided from NGA's updated and revised gravity data base. The assessment shall support NGA's efforts on the way on the way to the Earth Gravity Model EGM2020.
    Description: Other
    Description: XGM2016 is a combination model based on the satellite-only gravity field model GOCO05s and a global 15'x15' data grid provided from NGA's data base.
    Keywords: ICGEM ; global gravitational model ; GOCO ; Geodesy ; GOCE
    Language: English
    Type: Dataset , Dataset
    Format: 15478728 Bytes
    Format: 4 Files
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  • 55
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    The experimental gravity field model XGM2019e (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-02
    Description: Abstract
    Description: XGM2019e is a combined global gravity field model represented through spheroidal harmonics up to d/o 5399, corresponding to a spatial resolution of 2’ (~4 km). As data sources it includes the satellite model GOCO06s in the longer wavelength area combined with terrestrial measurements for the shorter wavelengths. The terrestrial data itself consists over land and ocean of gravity anomalies provided by courtesy of NGA (identical to XGM2016, having a resolution of 15’) augmented with topographically derived gravity over land (EARTH2014). Over the oceans, gravity anomalies derived from satellite altimetry are used (DTU13, in consistency with the NGA dataset).The combination of the satellite data with the terrestrial observations is performed by using full normal equations up to d/o 719 (15’). Beyond d/o 719, a block-diagonal least-squares solution is calculated for the high-resolution terrestrial data (from topography and altimetry). All calculations are performed in the spheroidal harmonic domain.In the spectral band up to d/o 719 the new model shows over land a slightly improved behavior over preceding models such as XGM2016, EIGEN6c4 or EGM2008 when comparing it to independent GPS leveling data. Over land and in the spectral range above d/o 719 the accuracy of XGM2019e suffers from the sole use of topographic forward modelling; Hence, errors are increased in well-surveyed areas compared to models containing real gravity data, e.g. EIGEN6c4 or EGM2008. However, the performance of XGM2019e can be considered as globally more homogeneous and independent from existing high resolution global models. Over the oceans the model exhibits an improved performance throughout the complete spectrum (equal or better than preceding models).
    Keywords: geodesy ; global gravity field model ; ICGEM ; GOCO ; GOCE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Language: English
    Type: Dataset , Dataset
    Format: 6 Files
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    The polar extended gravity field model TIM_R6e (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-02
    Description: Abstract
    Description: TIM_R6e is an extended version of the satellity-only global gravity field model TIM_R6 (Brockmann et al., 2019) which includes additional terrestrial gravity field observations over GOCE's polar gap areas. The included terrestrial information consists of the PolarGap campaign data (Forsberg et al., 2017) augumented by the AntGG gravity data compilation (Scheinert et al., 2016) over the southern polar gap (〉83°S) and the ArcGP data (Forsberg et al. 2007) over the northern polar gap (〉83°N). The combination is performed on normal equation level, encompassing the terrestrial data as spectrally limited geographic 0.5°x0.5° grids over the polar gaps.
    Description: TechnicalInfo
    Description: Processing procedures: (extending TIM_R6)Gravity from orbits (SST): (identical to TIM_R6)- short-arc integral method applied to kinematic orbits, up to degree/order 150- orbit variance information included as part of the stochastic model, it is refined by empirical covariance functionsGravity from gradients (SGG): (identical to TIM_R6)- parameterization up to degree/order 300- observations used: Vxx, Vyy, Vzz and Vxz in the Gradiometer Reference Frame (GRF)- realistic stochastic modelling by applying digital decorrelation filters to the observation equations; estimated separately for individual data segments applying a robust procedureGravity from terrestrial observations (TER):- collocation of the original terrestrial data sources onto 30'x30' geographic gravity disturbance grids (in the polar gap areas above 83° southern/northern latitude, thus forming a pair of polar caps)- spectral limitation of the data to D/O 300 within the collocation process- the chosen grid is fully compatible with the grid of the zero observation constraints of the original TIM_R6 model. In its function it replaces the original constraints- from the collocated polar caps, a partial normal equation system, up to D/O 300 is derivedCombined solution:- addition of normal equations (SST D/O 150, SGG D/O 300, TER D/O 300)- Constraints: * Kaula-regularization applied to coefficients of degrees/orders 201 - 300 (constrained towards zero, fully compatible with TIM_R6)- weighting of SST and SGG is identical to TIM_R6. All TER observations are weighted with 5 mGal.Specific features of resulting gravity field:- Gravity field solution is (mostly) independent of any other gravity field information (outside the polar gap region)- Constraint towards zero starting from degree/order 201 to improve signal-to-noise ratio- Related variance-covariance information represents very well the true errors of the coefficients (outside the polar gap region)- Solution can be used for independent comparison and combination on normal equation level with other satellite-only models (e.g. GRACE), terrestrial gravity data, and altimetry (outside the polar gap region)- Since in the low degrees the solution is based solely on GOCE orbits, it is not competitive with a GRACE model in this spectral region (outside the polar gap region)- In comparison to TIM_R6, TIM_R6e should deliver more accurate results, especially towards the polar gaps. However, as it uses additional data sources it cannot be seen as totally independent anymore: even outside the polar gap regions correlations (introduced by the holistic nature of spherical harmonics) may be found.
    Keywords: global gravitational model ; ICGEM ; GOCE ; PolarGap ; geodesy ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Language: English
    Type: Dataset , Dataset
    Format: 3 Files
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    The satellite-only gravity field model GOCO06s (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-02
    Description: Abstract
    Description: GOCO06s is a satellite-only, global gravity field model up to degree and order 300, with secular and annual variations up to degree and order 120. It was produced by the GOCO Team (Technical University of Munich, University of Bonn, Graz University of Technology, Austrian Academy of Sciences, University of Bern) and is based on 1,160,000,000 observations from 19 satellites. The contributing satellite mission are: GOCE (TIM6 gradiometer observations), GRACE (ITSG-Grace2018s), kinematic orbits from Swarm A+B+C, TerraSAR-X, TanDEM-X, CHAMP, GRACE and GOCE, and SLR observations to LAGEOS, LAGEOS 2, Starlette, Stella, AJISAI, LARES, LARETS, Etalon 1/2 and BLITS. The combination of the individual data sources is performed on the basis of the full systems of normal equations, where the relative weighting between each constituent is determined by variance component estimation. In order to account for the polar gap of GOCE, the solution is Kaula-regularized after degree and order 150.The model is available via the ICGEM Service (Ince et al., 2019)
    Description: TechnicalInfo
    Description: PARAMETERS:modelname GOCO06sproduct_type gravity_fieldearth_gravity_constant 3.9860044150e+14radius 6.3781363000e+06max_degree 300norm fully_normalizedtide_system zero_tideerrors formal
    Keywords: ICGEM ; global gravitational model ; GOCO ; GOCE ; GRACE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITATIONAL FIELD ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEODETICS 〉 GEOID CHARACTERISTICS
    Type: Dataset
    Format: 4 Files
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    Hydro-sedimentological dataset for the mesoscale mountainous Isábena catchment, NE Spain (2018)
    GFZ Data Services
    Details
    Publication Date: 2021-08-31
    Description: Abstract
    Description: Version history: This datased is an updated version of Francke et al. (2017; http://doi.org/10.5880/fidgeo.2017.003) for a revised version of this discussion paper. It contains further data collected, some of which also resulted in the revision of previous data (e.g. updated rating curves).A comprehensive hydro-sedimentological dataset for the Isábena catchment, NE Spain, for the period 2010-2018 is presented to analyse water and sediment fluxes in a Mediterranean meso-scale catchment. The dataset includes rainfall data from twelve rain gauges distributed within the study area complemented by meteorological data of twelve official meteo-stations. It comprises discharge data derived from water stage measurements as well as suspended sediment concentrations (SSC) at six gauging stations of the Isábena river and its sub-catchments. Soil spectroscopic data from 351 suspended sediment samples and 152 soil samples were collected to characterize sediment source regions and sediment properties via fingerprinting analyses.The Isábena catchment (445 km²) is located in the Southern Central Pyrenees ranging from 450 m to 2,720 m in elevation, together with a pronounced topography this leads to distinct temperature and precipitation gradients. The Isábena river shows marked discharge variations and high sediment yields causing severe siltation problems in the downstream Barasona reservoir. Main sediment source are badland areas located on Eocene marls that are well connected to the river network. The dataset features a wide set of parameters in a high spatial and temporal resolution suitable for advanced process understanding of water and sediment fluxes, their origin and connectivity, sediment budgeting and for evaluating and further developing hydro-sedimentological models in Mediterranean meso-scale mountainous catchments.The data have been published with the CUAHSI Water Data Center and is structured according to its guidelines (.csv format). For more detailed information please read the user guide on cloud publications with the CUAHSI Water Dater Center or the ODM guide for uploading data using CUAHSI´s ODM uploader added to the folder CUAHSI_ODM-Guide.zip. The database can be found in the HISCENTRAL catalogue (http://hiscentral.cuahsi.org/pub_network.aspx?n=5622). It is directly accessible via the API (http://hydroportal.cuahsi.org/isabena/cuahsi_1_1.asmx?WSDL) or in zipped archives at this DOI Landing Page (http://doi.org/10.5880/fidgeo.2018.011). For more detailed information, please read the user guide on cloud publications with the CUAHSI Water Dater Center (UserGuide.pdf) or the ODM guide for uploading data using CUAHSI´s ODM uploader in the ODM_Guide.zip archive.The data are available in four thematic zip folders:(1) hydro (hydrological data): water stage (manual readings and automatically recorded), river discharge (meterings and converted from stage)(2) meta (metadata) with the description of the different datafiles relevant for this dataset according to the CUAHSI HIS Standards(3) meteo (meteorological data): rainfall, temperature, radiation, humidity(4) sediment (sedimentological data): turbidity, suspended sediment concentration (from samples and from turbidity), sediment and soil reflectance spectraand are complemented by:(5) CUAHSI_ODM-Guide: User Guide, CUAHSI´s ODM uploader in Excel (.xlsx) and Open Office (.ods) formats(6) scripts: auxiliary R-script templates for data access, data analysis and visualisation(7) supplementary materials: stage-discharge- and turbidimeter rating curves
    Keywords: rainfall ; discharge ; suspended sediment concentration ; soil spectroscopy ; fingerprint properties ; meso-scale ; EARTH SCIENCE 〉 ATMOSPHERE 〉 PRECIPITATION ; EARTH SCIENCE 〉 SPECTRAL/ENGINEERING 〉 INFRARED WAVELENGTHS 〉 REFLECTED INFRARED ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 WATER QUALITY/WATER CHEMISTRY 〉 TURBIDITY ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 STAGE HEIGHT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 DISCHARGE/FLOW ; EARTH SCIENCE 〉 LAND SURFACE 〉 EROSION/SEDIMENTATION 〉 SEDIMENT TRANSPORT ; EARTH SCIENCE 〉 TERRESTRIAL HYDROSPHERE 〉 SURFACE WATER 〉 RIVERS/STREAMS
    Language: English
    Type: Dataset , Dataset
    Format: 183324730 Bytes
    Format: 10 Files
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    BNSClim hydrographic part (Version 1.1) (2019)
    WDCC
    Details
    Publication Date: 2021-09-18
    Description: This is version v1.1 of the hydrographic part of the "Baltic and North Sea Climatology (BNSC)". It turned out that the original hydrographic data product of the BNSC (BNSClim hydrographic part (Version 1.0)) was erroneous. The errors occurred by accidentally reading obsolete files in two of the intermediate steps of the production procedure. By this, the basis of observations was altered. This happened after the quality control and interpolation of the observations on standard depths, in the step where the observations are sorted into the chosen grid (this affects temperature and salinity) and in the following step, the correction of the temporal sampling error (this affects only salinity). These errors were corrected in this Version 1.1. The parameters provided are water temperature and salinity on 105 depth levels. The data product comprises the time period from 1873-2015 and is based on more than one million observational profiles, which were obtained from several different data sources in the region of the Baltic, the North Sea and adjacent areas of the North Atlantic Ocean (15°W-30°E, 47°N-66°N). Intersection of observational data from different data sources is avoided and the in situ data were objected to an elaborate automatic quality control to identify erroneous observations that would bias the data product. Additionally, a correction of the temporal sampling error was applied to minimize the impact of the temporal distribution of the observations on the created temporal mean fields. The data product consists of gridded mean fields of water temperature and salinity. The spatial resolution is 0.25° in meridional and zonal direction. The depth levels are irregularly distributed: for the depth interval from 0 to 50m the distance between the single depth levels is 5m. Below 50m, the distance increases progressively by 1m to the last depth level of 4985m. The dimensions of the data product are 180*76*105 (longitude, latitude, depth). The BNSC climatology consists, on the one hand, of time series of monthly and annual mean values of the hydrographic parameters as fields of box averages. Grid boxes that show no observations are left empty. Based on these time series, decadal monthly mean fields are created for the decades 1956-1965, 1966-1975, 1976-1985, 1986-1995, 1996-2005, 2006-2015 as another part of the data product. Again, gaps remain in observational data-void regions. The third part of the data product results from above mentioned decadal mean fields: horizontally interpolated fields by application of the method of objective analysis. Consequently, this subset does not contain gaps. Available parameters: box averages: monthly and annual mean, resp. standard deviation, number of observations decadal box averages: decadal monthly mean, resp. standard deviation, mean year, standard deviation to mean year, number of years decadal interpolated mean: interpolated monthly mean, absolute median deviation, number of bins, first guess, relative interpolation error, mean year, mean distance The products and a description of the differences between v1.0 and v1.1 are publicly available at the ICDC portal ( https://icdc.cen.uni-hamburg.de/1/daten/ocean/bnsc/)
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    Mineral spectra and chemistry of 37 copper bearing surface samples from Apliki copper-gold-pyrite mine in the Republic of Cyprus (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-20
    Description: Abstract
    Description: The data set contains mineral chemical analyses of 37 different surface materials from the copper-gold-pyrite mine Apliki in the Republic of Cyprus and their corresponding hyperspectral spectra. The field samples were sampled in March 2018 in cooperation of the Cyprus Geological Survey Department of the Republic of Cyprus (GSD) and the German Research Centre for Geosciences (GFZ). The hyperspectral data was acquired with the HySpex system in a range of 400 – 2500nm and is presented in a spectral library. Detailed information about the mineral specimen, sample area and geochemistry is presented in the data sheets. The spectral library presented here is part of a bigger collection of spectral libraries including samples from rare-earth minerals, rare-earth-oxides (Koerting et al., 2019a, http://doi.org/10.5880/GFZ.1.4.2019.004) and copper-bearing minerals (Koellner et al., 2019, http://doi.org/10.5880/GFZ.1.4.2019.003).
    Keywords: copper mining ; mine surface weathering ; hyperspectral ; spectral library ; copper mineral ; geochemical analyses ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 MINERALS 〉 MINERAL PHYSICAL/OPTICAL PROPERTIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOCHEMISTRY 〉 GEOCHEMICAL PROCESSES 〉 CHEMICAL WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 METALS 〉 METALS PHYSICAL/OPTICAL PROPERTIES ; Earth Remote Sensing Instruments 〉 Passive Remote Sensing 〉 Spectrometers/Radiometers 〉 Imaging Spectrometers/Radiometers
    Type: Dataset
    Format: 2 Files
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    Supplementary material for analogue experiments on the impact of the lithosphere on dynamic topography (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: We present videos and figures from 22 scaled analogue models used to investigate the interactions between a density anomaly rising in the mantle and the lithosphere in a Newtonian system.The experimental setup consists of a two layers viscous lithosphere-upper mantle system obtained by using silicone putty-glucose syrup in a tank sized 40 cm × 40 cm× 50 cm. Glucose syrup (i.e., mantle) is a Newtonian, low viscosity, high-density fluid while silicone putty (i.e., lithosphere) is a visco-elastic material that behaves in a quasi-Newtonian fashion. The mantle upwelling (i.e., plume head) is produced by a high viscosity, low-density silicone sphere with a constant radius (15 mm) rising through the mantle at an average rise velocity of ~2.6 mm/s. A side-view camera images the ascending path of the sphere, allowing to track the sphere location and compute its velocity. A top-view, 3-D scanner records the evolution of topography from which the lithospheric uplift rate is inferred. All details about the model set-up, modeling results and interpretation are detailed in Sembroni et al. (2017).The additional material presented in this publication includes 2 tables, 5 figures, and 23 time-lapse movie. The rheological properties of materials used in each model are listed in Table 1.Table 2 is an excel file where the raw data of the models are specified (i.e., bulge width, topography, and uplift rate). Such data have been obtained by the 3-D scanner and then processed by a MATLAB code.Figure 1, Figure 2, Figure 3, Figure 4, Figure 5 represent the 2-D topography evolution of the bulge in each experiment. Images have been grouped by considering the different experimental setups (i.e., homogeneous continental lithosphere - Figure 1, homogeneous oceanic lithosphere - Figure 2, low viscous decoupling layer - Figure 3, intermediate viscous decoupling layer - Figure 4, high viscous decoupling layer - Figure 5). Such figures consist of topographic profiles extracted from the surface obtained by the 3-D scanner in four different time steps (red numbers in the figures). 22 side-view videos (from Movie 1 to Movie 22) show the progress of the models from the releasing to the impingement of the sphere beneath the plate. The velocity of the video has been accelerated by a factor of 7.While, the first 22 movies show the evolution of the experiments, Movie 23 shows the mantle convective flow associated to the ascending path of the mantle upwelling. Such flow has been detected by tracking the bubbles inside the syrup. In this model, no lithosphere has been placed on top of the syrup.
    Keywords: Mantle Plume ; EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; analogue modelling results
    Type: Dataset
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    Friction data of simulated fault gouges derived from the Groningen gas field (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: We investigated the frictional properties of simulated fault gouges derived from the main lithologies present in the seismogenic Groningen gas field (NE Netherlands), employing in-situ P-T conditions and varying pore fluid salinity. Direct shear experiments were performed on gouges prepared from the Carboniferous Shale/Siltstone underburden, the Upper Rotliegend Slochteren Sandstone reservoir, the overlying Ten Boer Claystone, and the Basal Zechstein anhydrite-carbonate caprock, at 100 ºC, 40 MPa effective normal stress, and sliding velocities of 0.1-10 µm/s. As pore fluids, we used pure water, 0.5-6.2 M NaCl solutions, and a 6.9 M mixed chloride brine mimicking the formation water. Our results show a mechanical stratigraphy, with a maximum friction coefficient (µ) of ~0.65 for the Basal Zechstein, a minimum of ~0.37 for the Ten Boer claystone, ~0.6 for the reservoir sandstone, ~0.5 for the Carboniferous, and µ-values between the end-members for mixed gouges. Pore fluid salinity had no effect on frictional strength. Most gouges showed velocity-strengthening behavior, with little effect of pore fluid salinity on (a-b). However, Basal Zechstein gouge showed velocity-weakening at low salinities and/or sliding velocities, as did 50:50 mixtures with sandstone gouges, tested with the 6.9 M reservoir brine. From a Rate-and-State-Friction viewpoint, our results imply that faults incorporating Basal Zechstein anhydrite-carbonate material at the top of the reservoir are the most prone to accelerating slip, i.e. have the highest seismogenic potential. The results are equally relevant to other Dutch Rotliegend fields and to similar sequences globally. The data is provided in a .zip folder with 29 subfolders for 29 experiments/samples. Detailed information about the files in these subfolders as well as information on how the data is processed is given in the explanatory file Hunfeld-et-al-2017-Data-Description.pdf
    Keywords: Frictional properties ; Simulated fault gouge ; Groningen gas field ; EPOS ; Multi-scale laboratories ; rock and melt physical properties
    Language: English
    Type: Dataset
    Format: 69191878 Bytes
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    Particle size distribution analyses of volcanic ash from Campi Flegrei (Italy) and Sakurajima (Japan) volcanoes (2017)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This data publication includes particle size distribution data of natural volcanic ash samples used as starting material for laboratory experiments simulating the aggregation/disaggregation of colliding volcanic ash particles. Full details of the experimental method can be found in Del Bello et. al. (2015) and in the data description file provided here.Here we report raw particle size distribution data obtained through separation analysis. Two types of volcanic ash were analysed: i) andesitic ash from the Sakurajima volcano (Japan), collected from July 2013 deposits (named Sak sample); ii) phonolitic ash collected from the basal fallout layer of the ~10 ka old Pomici Principali eruptive unit [Di Vito et al., 1999]) of the Campi Flegrei (named Ppa). For both compositions, 3 different starting materials were obtained by hand sieving the natural samples into three main particle size classes: (i) 〈32 μm, (ii) 32–63 μm, and (iii) 63–90 μm. For the phonolitic composition Ppa two additional starting materials were obtained by mixing the 〈32 μm and the 32–63 μm classes in known proportions. For each starting material, the grain size distribution of the sample was measured by a multiwavelength separation analyzer (LUMIReader®, https://www.lum-gmbh.com/lumireader_en.html). This device measures space and time resolved profiles of the transmitted light across the water-diluted sample (5% solid content) during sedimentation of particles. The cumulative volume-weighted particle size distribution is obtained from the extinction profiles using the multi-wavelength Particle size Analyser modulus (PSA). Details on the sample preparation procedure can be found in Detloff et al. (2006). For each measurement performed (see Table 1), a pdf file and a excel file are provided. The pdf file lists the analysis summary, including a description of the analysis settings and conditions, materials used, and distribution model adopted for the fit. It also provides graphs of the obtained volume weighted cumulative grain size distribution, and of the measured transmission profiles for each wavelength (870 nm, 630 nm and 470 nm, respectively). The Excel (*.xlsx format) file include 4 datasheets, listing the results (sheet name ending *_R) and the fit data (sheet names ending *_F01,*_F02, *_F03) obtained for the different instrument wavelength. In each datasheet the following data are listed in the columns: particle grain size (x3 in µm), volume weighted distribution (Q3(x) in %), Martin diameter (x3m in µm), volume weighted density distribution (q3(x) in 1/µm). The fit datasheets also include information on the fit such as distribution model used and distribution parameters (quantiles, median, standard deviation, span, etc..).A full list of the files included is given in List_of_files_DelBello et al 2017.pdf.
    Description: TableOfContents
    Description: Measurement name Sample typeSize class (µm)* Ppamag32_01Phonolite (Ppa)32-63 Ppamag32_03Phonolite (Ppa)32-63 Ppamag32_61Phonolite (Ppa)32-63Ppamag64_01Phonolite (Ppa)63-90Ppamin32_00Phonolite (Ppa)〈32 Ppamin32_02Phonolite (Ppa)〈32 Ppamin32_35Phonolite (Ppa)〈32 Ppamix32_02Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix32_03Phonolite (Ppa)〈32 + 32-63 (1:10)Ppamix32_04Phonolite (Ppa)〈32 + 32-63 (1:5) Ppamix32_05Phonolite (Ppa)〈32 + 32-63 (1:2) Ppamix32_06Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix32_70Phonolite (Ppa)〈32 + 32-63 (1:10) Ppamix32_71Phonolite (Ppa)〈32 + 32-63 (1:5) Ppamix32_72Phonolite (Ppa)〈32 + 32-63 (1:2) Ppamix32_73Phonolite (Ppa)〈32 + 32-63 (1:1) Ppamix63_02Phonolite (Ppa)〈32 + 63-90 (1:1) Ppatotal_01Phonolite (Ppa)total Sakmag32_02Andesite (Sak)32-63 Sakmag63_01Andesite (Sak)32-63 Sakmag90_01Andesite (Sak)63-90 Sakmin32_01Andesite (Sak)〈32 Sakmin32_02Andesite (Sak)〈32 Saktotal_01Andesite (Sak)totalTable 1. List of particle size characterization measurements included in this dataset. *When mixed sample are used, the respective weight proportion of the component classes used are reported in brackets.
    Keywords: multi-wavelength separation analyser ; grain size distribution ; phonolite ; andesite ; EPOS ; Multi-scale laboratories ; rock and melt physical properties
    Type: Dataset
    Format: 19273360 Bytes
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    Supplementary paleomagnetic data to: “Paleomagnetism in the Pannonian; Problems, Pitfalls, and Progress in using iron sulphides for magnetostratigraphy” (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset contains the paleomagnetic supplementary material to the article Kelder et al. (subm.), which presents a magnetostratigraphic correlation of Late Miocene lacustrine sediments based on multi-polarity greigite. The multi-polarity is visible in most thermal paleomagnetic results (Zijderveld diagrams) by antipodal high and medium temperature components, while only one magnetic component was visible in the alternating field demagnetization diagrams. Based on this complex behavior, a tailored demagnetization approach was developed to allow for reliable magnetostratigraphic dating of lacustrine sediments.The dataset includes demagnetization data from four drill cores located nearby Paks, Hungary. They were not oriented, meaning that only the inclination could be used for paleomagnetism. The measurements took place at the Paleomagnetic Laboratory Fort Hoofddijk in Utrecht University, The Netherlands. For details about the methodology the reader is referred to the methodology in Kelder et al. (subm).Three types of data are distinguished:• Thermal demagnetization results (.th files)• Alternating field demagnetization results (.af files).• Interpreted magnetic vectors for demagnetization files (.dir files)The .th, .af. and .dir files can be viewed with Notepad or similar programs, and analyzed via the Open Source platform Paleomagnetism.org (Koymans et al., 2016). The .dir files only exist for the cores PAET-30 and PAET-34, because these were interpreted in detail, while the material of the other cores (PAET-26, 27) were mainly used for rock magnetic purposes.Finally, an overview of the data files, abbreviations and sample codes is provided in the data description file.
    Keywords: magnetostratigraphy ; Lake Pannon ; Hungary ; iron sulfide ; greigite ; endemic ; delta progradation ; EPOS ; Multi-scale laboratories ; Paleomagnetic and magnetic data ; paleomagnetic data
    Language: English
    Type: Dataset
    Format: 1763452 Bytes
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    Dataset of Physical and Transport Property Variations Within the Carbonate-Bearing Fault Zones of the Monte Maggio Fault (Central Italy) (2017)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: Here we report the raw data of the physical properties of carbonate samples collected along the Monte Maggio normal Fault (MMF), a regional structure (length ~10 km and displacement ~500 m) located within the active system of the Apennines (Italy). In particular, we report results coming from large cores (100 mm in diameter and up to 20 cm long) drilled perpendicular to the fault plane made of Calcare Massiccio (massive limestone) and Bugarone fm (limestone with 8.3 % of clay). From these large cores, we obtained smaller cores, 38 mm in diameter both parallel and perpendicular to the fault plane, that have been used for experiments. We have divided the rock samples in four categories following the fault architecture. The four structural domains of the fault are:1) the hangingwall (HW) made of Bugarone fm that is still preserved in some portions of the fault, 2) a Cemented Cataclasite (CC) and 3) a Fault Breccia (FB) that characterize the cataclastic damage zones and 4) the correspondent undeformed protolith of the footwall block made of Calcare Massiccio. Raw data reported here are those used for drawing Figures 5, 6, 8 and 9 of the paper “Physical and transport property variations within carbonate- bearing fault zones: Insights from the Monte Maggio Fault (central Italy)”, http://doi.org/10.1002/ 2017GC007097 by Trippetta et al. Dataset_Fig05.txt reports P- and S-wave velocities (in km/s) of the described samples at pressure from 0.1 MPa (ambient pressure) up to 100 MPa at ambient temperature in dry conditions and the corresponding Vp/Vs ratio. Experiments have been performed by using the permeameter at the HP-HT Laboratory of experimental Volcanology and Geophysics at INGV (Rome).Dataset_Fig06.txt reports permeability data (in m^2) on the same type of samples of fig05 for the same range of confining pressure at ambient temperature. Pore pressure values athletes each confining pressure step are indicated in the file. Data have been again acquired with the permeameter.Dataset_Fig08.txt reports P-wave velocity data (in km/s) vs depth (in m), recorded on the portion that crossed the Calare Massiccio fm of three boreholes drilled in the Apennines: Varoni 1, Monte Civitello 1 and Daniel1. Data have been obtained by digitalizing each pdf file of the boreholes mentioned above, that are available at http://unmig.sviluppoeconomico.gov.it/videpi/videpi.asp. Once digitalized, respect to the original pdf file, velocity data have been simply converted from um/f to km/s.Dataset_Fig09.txt reports values of the maximum, minimum and average values of Critical fault nucleation length (in m) at each corresponding depth (in m) and applied confining pressure (in MPa). Critical nucleation lengths have been calculated by using the equations described in the text of the Trippetta et al paper and by using the elastic parameters calculated from data reported here. Data on earthquakes-depth distribution of the 2009 L'Aquila sequence can be found on Chiaraluce et al. (2011).
    Keywords: Sesmic Waves ; Carbonates ; Permeability ; Physical properties ; Elastic properties ; Borehole sonic logs ; Vp ; Vs ; Vp/Vs Ratio ; Critical Rupture Length ; EPOS ; Multi-scale laboratories ; rock and melt physical properties
    Type: Dataset
    Format: 19556 Bytes
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    Supplement to "Opposite subduction polarity in adjacent plate segments" (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset contains ten movies corresponding to five analog experiments of double subduction systems with opposite polarity in adjacent plate segments. The laboratory model consists of two viscous layers of silicone putty representing the lithospheric plates, on top of a tank of syrup representing the mantle. Different setups have been designed to test the influence of the width of the plates and the initial separation between them on the resulting trench retreat velocities, deformation of plates and mantle flow.The movies show the time evolution of each experiment from the top and an oblique position of the camera (indicated by "_top" and "_ob" suffixes in the file names). Model 1 and 2 consist of two plates of 30 cm width spaced 10 cm and 0.5 cm, respectively. These models are designed to study the influence of the initial separation between plates on the dynamics of the mantle flow and plates interaction. Model 3 consists of two 20 cm wide plates with an initial separation of 0.5 cm. We use this model to show the mantle flow pattern in a double subduction system. Model 4 is composed of two 10 cm wide plates with an initial separation of 0.5 cm. This model is designed to analyze the effects of the plate width on the dynamics of the system. Finally, Model 5 is designed to study the interaction of two near subducting plates with different widths (30 cm and 10 cm wide plates).For details of the model set-up and results obtained please refer to the data description file and Peral et al. (2018).
    Keywords: Subduction analog models ; ananlogue models ; double subduction system ; trench curvature ; EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; analogue modelling results
    Language: English
    Type: Dataset
    Format: 949939 Bytes
    Format: 2 Files
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    Ring-shear test data of quartz sand from the Tectonic Modelling Lab of the University of Bern (CH) (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides internal and basal (wall) friction data from ring-shear tests (RST) on a quartz sand material that has been used in tectonic experiments in Zwaan et al. (2016, 2017), Zwaan and Scheurs (2017) and in the Tectonic Modelling Lab of the University of Bern (CH) as an analogue for brittle layers in the crust or lithosphere. The material has been characterized by means of internal and basal friction coefficients μ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam for the Tectonic Modelling Lab of the University of Bern (UB).According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope. Internal peak, dynamic and reactivation friction coefficients are μP = 0.73, μD = 0.61, and μR = 0.66, respectively. Internal cohesions C are in the range of 10 to 70 Pa. Basal peak, dynamic and reactivation friction coefficients are μP = 0.41, μD = 0.35, and μR = 0.36, respectively, whereas basal cohesions C are in the range of 120 to 150 Pa. The rate dependency of the internal dynamic friction coefficient is insignificant (〈1%).
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale Laboratories ; property data of analogue modelling materials ; software tools
    Type: Dataset
    Format: 2237044 Bytes
    Format: 3 Files
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    Experimental dataset of charges and discharges measurement during shock-tube experiments (2019)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: Series of experiments to assess the role of pressure, mass of particles, and grain size distribution in the generation of charges and discharges during shock-tube experiments. Experiments have been achieved between 2017 and 2018 in the facilities of Department of Earth and Environmental Sciences - LMU München.This dataset contains:- an excel spreadsheet summarizing the 63 experiments in the database with their main characteristics- a pdf file for each experiment, with the waveforms of the main instruments used in the experiment (Pressure sensors and Faraday cage) as well as ellaborated data (total amount of charges and discharges, discharge size distribution.
    Description: Methods
    Description: Description of the raw file for each experiment (in CSV format). After the header, the columns display respectively:(1) the time [s](2) the static pressure within the autoclave [MPa](3) the voltage across the Faraday cage [V] on a low-sensitivity channel of the datalogger(4) the voltage across the Faraday cage [V] on a high-sensitivity channel of the datalogger that might saturate in some cases(5) the voltage across the lower antenna [V] as described in Cimarelli et al., 2014 (for some experiments only, otherwise the signal remains close to 0)(6) the voltage across the upper antenna [V] as described in Cimarelli et al., 2014 (for some experiments only, otherwise the signal remains close to 0)(7) the dynamic pressure at the exit of the nozzle [MPa](8) the trigger signal generated by the datalogger [V]
    Keywords: ash ; electric charge ; electric discharge ; shock tube ; jet ; grain size distribution ; EPOS ; Multi-scale laboratories ; rock and melt physical properties ; EARTH SCIENCE SERVICES 〉 ENVIRONMENTAL ADVISORIES 〉 WEATHER/CLIMATE ADVISORIES 〉 DUST/ASH ADVISORIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 VOLCANIC EXPLOSIVITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 VOLCANIC ACTIVITY 〉 ERUPTION DYNAMICS 〉 ASH/DUST DISPERSION ; EARTH SCIENCE 〉 HUMAN DIMENSIONS 〉 NATURAL HAZARDS 〉 VOLCANIC ERUPTIONS ; EARTH SCIENCE 〉 ATMOSPHERE 〉 ATMOSPHERIC ELECTRICITY 〉 LIGHTNING
    Type: Dataset
    Format: 1 Files
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    Paleomagnetic dataset of the marine Badenian reference section Ugljevik in Bosnia-Herzegovina (Middle Miocene, Pannonian basin, Central Paratethys) (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset contains paleomagnetic data used to create the magnetostratigraphy of the Ugljevik section in Bosnia and Herzegovina (thesis by Karin Sant, 2018). It is the only outcrop known with the early, middle and upper Badenian sediments exposed in a continuous section.The dataset includes thermal demagnetization (.th files) and alternating field demagnetization (.af files) data from several partial sections (UG08, UG11 and UG13) together forming the full section (correlation figure is attached). The measurements took place at the Paleomagnetic Laboratory Fort Hoofddijk in Utrecht University, The Netherlands. The displayed AF measurements were performed in the per component setting. For further details about the methodology the reader is referred to the methodology in the thesis of K. Sant (2018).The .th and .af. files can be viewed with Notepad or similar programs, and analyzed via the Open Source platform Paleomagnetism.org: http://paleomagnetism.org/ (Koymans et al., 2016). An overview of the data files, abbreviation and sample codes is provided in the data description file.
    Keywords: Badenian ; Sarmatian ; magnetostratigraphy ; integrated stratigraphy ; Central Paratethys ; Pannonian Basin ; EPOS ; Multi-scale laboratories ; paleomagnetic and magnetic data ; paleomagnetic data
    Type: Dataset
    Format: 570848 Bytes
    Format: 2 Files
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    Rheology of PDMS-corundum sand mixtures from the Tectonic Modelling Lab of the University of Bern (CH) (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides rheometric data of silicone (Polydimethylsiloxane, PDMS SGM36)-corundum sand mixtures used for analogue modelling in Zwaan et al. (2016, 2017), Zwaan and Schreurs (2017) and in the Tectonic Modelling Lab of the Institute of Geological Sciences at the University of Bern (CH). The PDMS is produced by Dow Corning and its characteristics have been described by e.g. Rudolf et al. (2016a,b). The corundum sand (Normalkorund Braun 95.5% F120 by Carlo Bernasconi AG: https://www.carloag.ch/shop/catalog/product/view/id/643), has a grainsize of 0.088-0.125 mm and a specific density of 3.96 g cm^-3. Further rheological characteristics are described by Panien et al. (2006). The density of the tested materials ranges between 1 (pure PDMS) and 1.6 g cm^-3 (increasing corundum sand content in mixture). The material samples have been analysed in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at GFZ German Research Centre for Geosciences in Potsdam using an Anton Paar Physica MCR 301 rheometer in a plate-plate configuration at room temperature. Rotational (controlled shear rate) tests with shear rates varying from 10^-4 to 10^-1 s^-1 were performed.According to our rheometric analysis, the material is quasi Newtonian at strain rates below 10^-3*s^-1 and weakly shear rate thinning above. Viscosity and stress exponent increase systematically with density from ~4*10^4 to ~1*10^5 Pa*s and from 1.06 to 1.10, respectively. A first application of the materials tested can be found in Zwaan et al. (2016). Detailed information about the data, methodology and a list of files and formats is given in the "data description" and "list of files" that are included in the zip folder and also available via the DOI landing page.
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale Laboratories ; property data of analogue modelling materials ; software tools
    Type: Dataset
    Format: 1316271 Bytes
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    Ring shear test data of feldspar sand and quartz sand used in the Tectonic Laboratory (TecLab) at Utrecht University for experimental Earth Science applications (2018)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) on feldspar sand and quartz sand, which are used to simulate brittle behaviour in crust- and lithosphere-scale analogue experiments at the Tectonic Laboratory (TecLab), Utrecht University (NL) (Willingshofer et al., 2005; Willingshofer & Sokoutis, 2009; Athmer et al., 2010; Luth et al., 2010; Fernández-Lozano et al., 2011; Leever et al., 2011; Sokoutis & Willingshofer, 2011; Fernández-Lozano et al., 2012; Luth et al., 2013; Munteanu et al., 2013; Willingshofer et al., 2013; Munteanu et al., 2014; Calignano et al., 2015a, b; Ortner et al., 2015; Gabrielsen et al., 2016; Calignano et al., 2017; van Gelder et al., 2017; Wang et al., 2017; Beniest et al., 2018 ). The materials have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam.According to our analysis both materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients of the feldspar sand are µP = 0.68, µD = 0.55, and µR = 0.61, respectively. Friction coefficients of the quartz sand are µP = 0.63, µD = 0.48, and µR = 0.52, respectively. Cohesions of the feldspar sand and the quartz sand are in the order of few tens of Pa. A minor rate-weakening of 1% per ten-fold rate change is evident for the feldspar sand, whereas the quartz sand shows a significant rate weakening of ~5%.Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
    Keywords: EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; fault ; tectonic and structural features ; Sand 〉 Quartz Sand ; Iron Powder ; Ring-shear tester ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
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    Ring shear test data of quartz sand and colored quartz sand used for analogue modelling in the Laboratorio de modelización analógica, Universidad de Zaragoza, Spain (EPOS TNA call 2017). (2019)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) on different types of quartz sand used in the Laboratorio de modelización analógica of the Universidad de Zaragoza (UZ, Spain) as an analogue for brittle layers in the crust or lithosphere (Izquierdo-Llavall & Casas-Sainz, 2012; Calvín et al., 2013; Pueyo Anchuela et al., 2016; Peiro et al., 2018; Pueyo et al., 2018; Izquierdo-Llavall et al., submitted). The materials (quartz sand, green coloured quartz sand mixture, black coloured quartz sand) have been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam.According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Friction coefficients of the pure quartz sand and the green quartz sand mixture are similar (µP = 0.74 – 0.76, µD = 0.56 – 0.60, µR = 0.61 – 0.64), whereas friction coefficients of the black coloured quartz sand are lower (µP = 0.48, µD = 0.39, µR = 0.45). Cohesions of all sands range between 40 and 150 Pa. A minor rate-weakening of ~1 % per ten-fold change in shear velocity v is evident.The tested materials are quartz sands with a grain size of 0.063 – 0.4 mm and bulk densities of ρ = 1610-1800 kg m^-3. The data presented here are derived by ring shear testing using a SCHULZE RST-01.pc (Schulze, 1994, 2003, 2008) at the Helmholtz Laboratory for Tectonic Modelling (HelTec) of the GFZ German Research Centre for Geosciences in Potsdam. The RST is specially designed to measure friction coefficients µ and cohesions C in loose granular material accurately at low confining pressures and shear velocities similar to sandbox experiments.
    Keywords: EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; wrench fault ; thrust fault ; fault ; tectonic and structural features ; Sand 〉 Quartz Sand ; Ring-shear tester ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
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    Ring shear test data of iron powder – quartz sand mixture: a new marker material for analog modelling in a CT scanner at Utrecht University (The Netherlands) (EPOS TNA call 2017) (2019)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) on an iron powder – quartz sand mixture (weight ratio 1:3). This material is used in particular as marker material in analogue experiments that are monitored with CT-scanners in the Tectonic Laboratory (TecLab) at Utrecht University (NL) (Pueyo et al., 2017; 2018). The material has been characterized by means of internal friction coefficients µ and cohesions C as a remote service by the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam in the framework of the EPOS (European Plate Observing System) Transnational Access (TNA) call of the Thematic Core Service (TCS) Multi-scale Laboratories (MSL) in 2017.According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope. Peak, dynamic and reactivation friction coefficients are µP = 0.65, µD = 0.53, and µR = 0.62, respectively. Cohesions C are in the range of 70 to 100 Pa. A minor rate-weakening of ~3% per ten-fold change in shear velocity v is evident.
    Keywords: EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; software tools ; transnational access ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; fault ; tectonic and structural features ; Sand 〉 Quartz Sand ; Iron Powder ; Ring-shear tester ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
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    LSMOD.2 - Global paleomagnetic field model for 50 -- 30 ka BP (2019)
    GFZ Data Services
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    Publication Date: 2021-09-30
    Description: Abstract
    Description: Global spherical harmonic paleomagnetic field model LSMOD.2 describes the magnetic field evolution from 50 to 30 ka BP based on published paleomagnetic sediment records and volcanic data. It is an update of LSMOD.1, with the only difference being a correction to the geographic locations of one of the underlying datasets. The time interval includes the Laschamp (~41 ka BP) and Mono Lake (~34 ka BP) excursions. The model is given with Fortran source code to obtain spherical harmonic magnetic field coefficients for individual epochs and to obtain time series of magnetic declination, inclination and field intensity from 49.95 to 30 ka BP for any location on Earth. For details see M. Korte, M. Brown, S. Panovska and I. Wardinski (2019): Robust characteristics of the Laschamp and Mono lake geomagnetic excursions: results from global field models. Submitted to Frontiers in Earth Sciences
    Description: Methods
    Description: File overview:LSMOD.2 -- ASCII file containing the time-dependent model by a list of spline basis knot points and spherical harmonic coefficients for these knot points.LSfield.f -- Fortran source code to obtain time series predictions of declination, inclination and intensity from the model file.LScoefs.f -- Fortran source code to obtain the spherical harmonic coefficients for an individual age from the time-dependent model file.The data are licenced under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0) and the Fortran Codes under the Apache License, Version 2.0.The Fortran source code should work with any standard Fortran 77 or higher compiler. Each of the two program files can be compiled separately, all required subroutines are included in the files. The model file, LSMOD.1 or LSMOD.2, is read in by the executable program and has to be in the same directory. The programs work with interactive input, which will be requested when running the program.
    Keywords: paleomagnetic field model ; geomagnetic excursion ; spherical harmonic paleomagnetic field model ; EPOS ; Multi-scale laboratories ; paleomagnetic and magnetic data ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INTENSITY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC INCLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 MAGNETIC FIELD 〉 MAGNETIC DECLINATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 REFERENCE FIELDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMAGNETISM 〉 PALEOMAGNETISM
    Type: Model
    Format: 1 Files
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    Ring-shear test data of different quartz sands and glass beads used for analogue experiments in the experimental laboratory of the Chengdu University of Technology (EPOS Transnational Access Call 2017) (2018)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) on natural and artificial granular materials used for analogue modelling in the experimental laboratory of the Chengdu University of Technology (CDUT, China). Six samples, four types of quartz sands and two types of glass beads, have been characterized by means of friction coefficients µ and cohesions C. The material samples have been analysed at the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam in the framework of the EPOS (European Plate Observing System) Transnational Access (TNA) call of the Thematic Core Service (TCS) Multi-scale Laboratories (MSL) in 2017 as a remote service for the CDUT.According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak friction coefficients µP of the quartz sand samples range between 0.62 and 0.79 and µP of the glass beads between 0.61 and 0.64. Except for one quartz sand sample, peak cohesions CP of all materials are smaller than or around zero meaning that these materials are cohesionsless. All materials show a minor rate-weakening of 1-2 % per ten-fold change in shear velocity v.
    Keywords: EPOS ; Multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; transnational access ; TNA ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; fault ; tectonic and structural features ; Microspheres ; Sand 〉 Quartz Sand ; Ring-shear tester ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 2134326 Bytes
    Format: 3 Files
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  • 76
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    Ring-shear test data of foam glass beads used for analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam and the Institute of Geosciences, Friedrich Schiller University Jena (2019)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) for two types of foam glass beads and a mixture of foam glass beads with quartz sand (“G12”; Rosenau et al., 2019). These materials have been used in analogue experiments in Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam and in the Analogue laboratory of the Institute of Geosciences of the Friedrich Schiller University of Jena (FSU Jena). The materials have been characterized by means of internal friction coefficients µ and cohesion C. According to our analysis the materials show a Mohr-Coulomb behaviour characterized by a linear failure envelope. Peak friction coefficients µP of all tested materials range between 0.70 and 0.75, dynamic friction coefficients µD between 0.52 and 0.55 and reactivation friction coefficients µR between 0.60 and 0.62. Peak cohesions CP of all materials are negative indicating that they are cohesionless. All materials show a minor rate-weakening of ~1% per ten-fold change in shear velocity v.Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale Laboratories ; property data of analogue modelling materials ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; tectonic setting 〉 passive continental margin setting ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 ductile flow ; deformation 〉 fracturing ; normal fault ; graben ; diapir ; fault ; slope and gravitational features ; base slope ; tectonic and structural features ; Sand 〉 Quartz Sand ; Ring-shear tester ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
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  • 77
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    Ring-shear test data of quartz sand G12 used for analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam (2018)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) for a quartz sand (“G12”). This material is used in various types of analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam for simulating brittle rocks in the upper crust. The material has been characterized by means of internal friction coefficients µ and cohesions C. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of µP = 0.69, µD = 0.55 and µR = 0.62, respectively. Cohesions C are in the order of 50 – 110 Pa. The material shows a minor rate-weakening of 〈1% per ten-fold change in shear velocity.Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale Laboratories ; property data of analogue modelling materials ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; fault ; tectonic and structural features ; Sand 〉 Quartz Sand ; Ring-shear tester ; Matlab (Mathworks) ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
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  • 78
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    Ring-shear test data of quartz sand G23 used for analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam (2018)
    GFZ Data Services
    Details
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This dataset provides friction data from ring-shear tests (RST) for a quartz sand (type “G23”). This material is used in various types of analogue experiments in the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam for simulating brittle rocks in the upper crust (e,g. Kenkmann et al., 2007; Contardo et al., 2011; Reiter et al., 2011;Warsitzka et al., 2013; Santimano,et al., 2015; Warsitzka et al., 2015; Ritter et al., 2016; 2018 a,b). The material has been characterized by means of internal friction coefficients µ and cohesions C. According to our analysis the material shows a Mohr-Coulomb behaviour characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of µP = 0.73, µD = 0.57 and µR = 0.65, respectively. Cohesions C are in the order of 10 – 120 Pa. The material shows a minor rate-weakening of 〈1% per ten-fold change in shear velocity v.Further information about materical characteristics, measurement procedures, sample preparation, the RST (Ring-shear test) and VST (Velocity stepping test) procedure, as well as the analysed method is proviced in the data description file. The list of files explains the file and folder structure of the data set.
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale Laboratories ; property data of analogue modelling materials ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION 〉 CALIBRATION/VALIDATION ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 upper continental crustal setting ; deformation 〉 fracturing ; fault ; tectonic and structural features ; Sand 〉 Quartz Sand ; Ring-shear tester ; Matlab (Mathworks) ; Force sensor ; Friction coefficient ; Cohesion
    Type: Dataset
    Format: 3 Files
    Format: application/octet-stream
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  • 79
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    TOPOI-CS_ECHAM5 (2019)
    WDCC
    Details
    Publication Date: 2021-10-04
    Description: Global paleoclimate simulations are carried out on the basis of the so-called time slice technique. The simulations are performed with the state-of-the-art global circulation model ECHAM5 (Roeckner et al., 2003) at a spectral resolution of T106 (∼1.125°×1.125°) and 19 vertical levels. Different time slices are selected at a time interval of approx. 1000 years from each other, from 6000 years ago to pre-industrial times. For each time slice a simulation is carried out over a period of 30 years. As boundary conditions prescribed sea ice fraction and sea surface temperatures were used, which were derived from a continuous simulation with transient periods. This simulation was performed with the coupled atmosphere-ocean circulation model ECHO-G, consisting of the ECHAM4 (Roeckner et al., 1996) and the ocean model HOPE (Wolff et al., 1997), at a spectral resolution of T30 (∼3.75◦×3.75◦). Further information on simulation realization can be found in Wagner et al. (2007). Detailed information on the model set-up can be found in Russo and Cubasch (2016). Russo, E. and Cubasch, U.: Mid-to-late Holocene temperature evolution and atmospheric dynamics over Europe in regional model simulations, Clim. Past, 12, 1645-1662, https://doi.org/10.5194/cp-12-1645-2016, 2016.
    Type: experiment
    Format: GRIB
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  • 80
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    TOPOI-CS_COSMO-CLM (2019)
    WDCC
    Details
    Publication Date: 2021-10-04
    Description: High-resolution simulations of the palaeoclimate are carried out throughout Europe. A set of climate simulations will be performed, based on the so-called time slicing technique. The simulations are performed with the state-of-the-art regional climate model COSMO-CLM (cosmo_4.8_clm19) at a horizontal resolution of 0.44° longitude and 40 vertical levels. The COSMO-CLM is a non-hydrostatic RCM with rotated geographical coordinates and a terrain following height coordinate (Rockel et al., 2008), developed by the German Weather Service (DWD) of the COSMO model (Doms and Schättler, 2003). The ECHAM5 output is used as a boundary data set for the dynamic downscaling approach. Detailed information on the model set-up can be found in Russo and Cubasch (2016). Russo, E. and Cubasch, U.: Mid-to-late Holocene temperature evolution and atmospheric dynamics over Europe in regional model simulations, Clim. Past, 12, 1645-1662, https://doi.org/10.5194/cp-12-1645-2016, 2016.
    Type: experiment
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  • 81
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    Supplement to: The New World Atlas of Artificial Night Sky Brightness (2016)
    GFZ Data Services
    Details
    Publication Date: 2021-10-05
    Description: Abstract
    Description: 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).
    Description: Other
    Description: 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.
    Keywords: 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
    Language: English
    Type: Dataset , Dataset
    Format: 26001739 Bytes
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  • 82
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    Next-generation Remote sensing for VALidation Studies - North (NARVAL-North) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: NARVAL-North: Measurements of microwave radiometer brightness temperatures, radar reflectivity and linear depolarisation ratio, and dropsonde atmospheric profiles from aircraft campaign over mid-latitude Atlantic out of Iceland. Aim of the campaign was the observation of clouds associated with the cold sector of mid-latitude cyclones.
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  • 83
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    Next-generation Remote sensing for VALidation Studies - South (NARVAL-South) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: NARVAL-South: Measurements of microwave radiometer brightness temperatures, radar reflectivity and linear depolarisation ratio, and dropsonde atmospheric profiles from aircraft campaign over tropical Atlantic out of Barbados. Aim of the campaign was the observation of shallow convection in the trade wind region east of Barbados. website: http://www.mpimet.mpg.de/en/science/the-atmosphere-in-the-earth-system/working-groups/tropical-cloud-observation/halo/missions/
    Type: experiment
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  • 84
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    North Atlantic Waveguide and Downstream impact EXperiment (NAWDEX) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: NAWDEX: Measurements of microwave radiometer brightness temperatures, radar reflectivity and linear depolarisation ratio, and dropsonde atmospheric profiles from aircraft campaign over mid-latitude Atlantic out of Iceland. The campaign explored the impact of diabatic processes on disturbances of the jet stream and their influence on downstream high-impact weather through the deployment of four research aircraft. Website: http://www.pa.op.dlr.de/nawdex/
    Type: experiment
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  • 85
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    Next-generation Remote sensing for VALidation Studies 2 (NARVAL2) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: NARVAL2: Measurements of microwave radiometer brightness temperatures, radar reflectivity and linear depolarisation ratio, and dropsonde atmospheric profiles from aircraft campaign over tropical Atlantic out of Barbados. During this campaign, a broad range of states of convection were observed from suppressed and shallow convection in relatively dry surroundings to deep convection in the ITCZ. website: https://www.mpimet.mpg.de/en/science/the-atmosphere-in-the-earth-system/working-groups/tropical-cloud-observation/halo/missions/
    Type: experiment
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  • 86
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    CanClim Historical monthly models (2019)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Historical monthly models of mean minimum temperature and maximum temperature, and total precipitation
    Type: experiment
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  • 87
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    CMIP6 ScenarioMIP DKRZ MPI-ESM1-2-HR ssp370 - RCM-forcing data (2019)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: RCM forcing data from 10 realisations (r*i1p1f1) of the CMIP6/ScenarioMIP experiment ssp370, conducted with the MPI-ESM1-2-HR on the Mistral supercomputer of the DKRZ. The experiment covers the years 2015 to 2100 and branches from realisations of the CMIP6/CMIP historical experiment. The file format is gzip-compressed GRIB (*.grb.gz). ScenarioMIP website: https://cmip.ucar.edu/scenario-mip ScenarioMIP paper: https://doi.org/10.5194/gmd-9-3461-2016 Experiment description ssp370: Gap: Baseline scenario with a medium to high radiative forcing by the end of century. Following approximately RCP7.0 global forcing pathway with SSP3 socioeconomic conditions. Radiative forcing reaches a level of 7.0 W/m2 in 2100. Concentration-driven.
    Type: experiment
    Format: GRIB1 zipped; recs separated
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  • 88
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    CMIP6 CMIP DKRZ MPI-ESM1-2-HR amip_r2i1p1f1 and amip_r3i1p1f1 - RCM-forcing data (2019)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: RCM forcing data from 2 realisations (r2i1p1f1, r3i1p1f1) of the CMIP6/CMIP DECK experiment amip, conducted with the MPI-ESM1-2-HR on the Mistral supercomputer of the DKRZ. The experiment covers the years 1979 to 2014. The two variants have been created by modulating the horizontal diffusion coefficient of the top model layer by a factor 1.00001 (amip_r2i1p1f1) and 0.99999 (amip_r3i1p1f1) for the year 1979. The file format is gzip-compressed GRIB (*.grb.gz). CMIP6 website: https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6 CMIP6 paper: https://www.geosci-model-dev.net/9/1937/2016/gmd-9-1937-2016.html Experiment description amip: An atmosphere only climate simulation using prescribed sea surface temperature and sea ice concentrations but with other conditions as in the Historical simulation.
    Type: experiment
    Format: GRIB1 zipped; recs separated
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  • 89
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    HOPE campaign 2013: KITCube Doppler Lidar Data (HOPE_KIC_DL) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of Doppler lidar measurements. Located at Hambach during the HOPE campaign.
    Type: dataset_group
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  • 90
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    HOPE campaign 2013: KITCube Surface Energy Balance System Data (HOPE_KIC_SEBS) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of meteorological data (near surface and soil). Stations were located during the HOPE campaign: Station 1 (sebs00) at Hambach together with mets00, Station 2 (sebs01) at Wasserwerk together with mets01.
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  • 91
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    HOPE campaign 2013: KITCube Microwave Radiometer Data (HOPE_KIC_MWR) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of KITCube microwave radiometer measurements. The instrument was located at Hambach during the HOPE campaign.
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  • 92
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    HDCP2-OBS IOP Lindenberg 2014: Pyranometer network (IOPRAO_TROP_PYRNET) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Pyranometer network consisting of 45 members were set up during the Intensive Observation Campaign at Lindenberg / Falkenberg, 2014.
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  • 93
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    HOPE campaign 2013: KITCube Meterological Near Surface Data (HOPE_KIC_METS) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of meteorological near surface measurements. Located with energy balance: station 1 (mets00) at Hambach during HOPE, station 2 (mets01) at Wasserwerk during the HOPE campaign.
    Type: dataset_group
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  • 94
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    HOPE campaign 2013: LACROS Doppler Lidar data (HOPE_LACROS_DL) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of Doppler Lidar (coherent measurement) data. The instrument is part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich.
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  • 95
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    HOPE campaign 2013: LACROS Ceilometer data (HOPE_LACROS_CEILO) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of Jenoptik CHM15k ceilometer data. The instrument is part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
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  • 96
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    HOPE campaign 2013: LACROS Microwave Radiometer data (HOPE_LACROS_MWR) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of LACROS microwave radiometer measurements. The instrument is part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
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  • 97
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    HOPE campaign 2013: LACROS combined Raman lidar - Microwave radiometer data (HOPE_LACROS_RLMWR) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of humidity mixing ratio profiles from a combination of Raman lidar and microwave radiometer. Both instruments are part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
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  • 98
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    HOPE campaign 2013: LACROS Disdrometer data (HOPE_LACROS_DM) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of LACROS disdrometer data. The instrument is part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich.
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  • 99
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    HOPE campaign 2013: LACROS Cloudnet data (HOPE_LACROS_CLN) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of Cloudnet products. The instruments were parts of LACROS that was located on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
    Type: dataset_group
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  • 100
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    HOPE campaign 2013: LACROS Cloud radar data (HOPE_LACROS_CR) (2018)
    WDCC
    Details
    Publication Date: 2021-10-23
    Description: Daily files of Doppler spectrum moments based on cloud radar measurements. The instrument is part of the LACROS facility that was installed on the area of a sewage treatment plant in Krauthausen, south of Juelich during the HOPE campaign.
    Type: dataset_group
    Format: NetCDF
    Location Call Number Expected Availability
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