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  • 2015-2019  (48,468)
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  • 1
    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
    Location Call Number Expected Availability
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  • 2
    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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    WDCC
    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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  • 4
    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.
    Type: dataset_group
    Format: NetCDF
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  • 5
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    WDCC
    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
    Type: experiment
    Format: NetCDF
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  • 6
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    WDCC
    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.
    Type: dataset_group
    Format: NetCDF
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  • 7
    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.
    Type: dataset_group
    Format: NetCDF
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  • 8
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    WDCC
    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
    Format: NetCDF
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  • 9
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    WDCC
    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.
    Type: dataset_group
    Format: NetCDF
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  • 10
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    WDCC
    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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