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  • 1
    Publication Date: 2021-09-30
    Description: Abstract
    Description: This data set includes the results of digital image correlation of ten brittle-viscous experiments on crustal extension and four benchmark experiments performed at the Tectonic Modelling Lab of the University of Bern (UB). The experiments demonstrate the differences in rift development in orthogonal versus rotation extension. Detailed descriptions of the experiments and monitoring techniques can be found in Zwaan et al. (2019) to which this data set is supplementary. Additional background information concerning the general modelling approach are available in Zwaan et al. (2016).. The data presented here consist of movies displaying digital image correlation (DIC) derived surface and internal displacement fields as well as profiles of the lateral cumulative surface displacements.Digital photographs of the experimental surface and digital image cross section of the computed CT-scans were analyzed with DIC (Adam et al., 2005, 2013) techniques to quantify displacements in the image plane at high precision (〈0.1 mm). DIC was undertaken with the software DaVis 8.0 (LaVision) applying 2D-DIC (FFT-legacy) multipass processing with a final interrogation window size of 32x32 (CT: 12x12) pixels and 50% (CT: 25%) overlap.
    Keywords: analogue models of geologic processes ; EPOS ; Multi-scale laboratories ; analogue modelling results ; EARTH SCIENCE SERVICES 〉 DATA ANALYSIS AND VISUALIZATION ; EARTH SCIENCE 〉 SOLID EARTH ; tectonic setting 〉 extended terrane setting 〉 continental rift setting ; tectonic process 〉 continental_breakup 〉 rifting ; rift valley ; depression ; Silicon/Silly putty/PDMS ; Sand 〉 Quartz Sand ; Sand 〉 Corundum Sand ; Extension box ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 StrainMaster (La Vision GmbH) ; X-ray computed tomographic scanner (CT-scan) ; SLR camera ; Surface image
    Language: English
    Type: Dataset , Dataset
    Format: 3 Files
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  • 2
    Publication Date: 2023-04-21
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Dobslaw et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_OBP).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Ocean Bottom Pressure (OBP) variations provided at 1° latitude-longitude grids as defined over ocean areas. The OBP grids are provided in NetCDF format divided into yearly batches. The files each contain seven different variables:1) 'barslv': gravity-based barystatic sea-level pressure2) 'std_barslv': gravity-based barystatic sea-level pressure uncertainties3) 'resobp': gravity-based residual ocean circulation pressure resobp4) 'std_resobp': gravity-based residual ocean circulation pressure uncertainties5) 'leakage': apparent gravity-based bottom pressure due to continental leakage6) 'model_ocean': background-model ocean circulation pressure7) 'model_atmosphere': background-model atmospheric surface pressureThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/OBP
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Ocean Bottom Pressure ; Time Variable Gravity ; Mass Balance ; Satellite Geodesy ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 3
    Publication Date: 2023-04-21
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Boergens et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_TWS).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 product based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format divided into yearly batches. The files each contain four different variables:1) 'tws': gravity-based TWS2) 'std_tws': gravity-based TWS uncertainties3) 'leakage': spatial leakage contained in TWS4) 'model_atmosphere': background model atmospheric massThese Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de). Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/TWS
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Total Water Storage ; Time Variable Gravity ; Mass Balance ; Satellite Geodesy ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2023-12-01
    Description: Abstract
    Description: Combined monthly gravity fields of the GRACE satellite mission in spherical harmonic representation (Level-2 product) generated by the Combination Service for Time-variable Gravity Fields (COST-G; Jäggi et al. (2020):http://dx.doi.org/10.1007/1345_2020_109), a product center for time-variable gravity fields of IAG's International Gravity Field Service (IGFS). COST-G GRACE RL01 is a combination of AIUB-RL02, GFZ-RL06, GRGS-RL04 (unconstrained solution), ITSG-GRACE2018, and CSR-RL06. The original time-series were provided by the analysis centers (ACs) and partner analysis centers (PCs) of COST-G.
    Description: Methods
    Description: COST-G performs a harmonization and quality control of the individual input solutions of the COST-G ACs and PCs. The combination of COST-G GRACE RL01 is then performed applying variance component estimation on the solution level (Jean et al., 2018): https://doi.org/10.1007/s00190-018-1123-5). The resulting COST-G combined gravity fields are validated assessing their signal and noise content in the spectral and spatial domain (Meyer et al., 2019: https://doi.org/10.1007/s00190-019-01274-6) and by the COST-G Product Evaluation Group (PEG).
    Keywords: COST-G ; IGFS Product Center ; Combined solutions ; Time variable gravity ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITATIONAL FIELD ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD 〉 GRAVITY
    Language: English
    Type: Dataset
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  • 5
    Publication Date: 2024-05-15
    Description: Abstract
    Description: Version History:15 June 2020:Initial release of the data. Note that the initial version number is 0002 in order to reflect the consistent data processing of this data set and Version 0002 of the data set Sasgen et al. (2019, http://doi.org/10.5880/GFZ.GRAVIS_06_L3_ICE).---------------------------------------------------------------------------------------------GRACE/GRACE-FO Level-3 products based on COST-G RL01 Level-2B products (Dahle & Murböck, 2020) representing ice-mass changes for the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). The ice-mass changes are provided both as basin average product and as gridded product.Basin-average ice-mass changes are obtained using the inversion procedure based on a forward modelling approach as described in Sasgen et al. (2013) for the AIS and Sasgen et al. (2012) for the GIS.Gridded ice-mass changes are provided at polar-stereographic grids with a grid spacing of 50 x 50 km^2. The applied algorithm is based on tailored sensitivity kernels (Groh & Horwath, 2016), and has also been used to generate gravimetric mass balance products within the ESA Climate Change Initiative (CCI) projects for the AIS and the GIS.These Level-3 products are visualized at GFZ's web portal GravIS (http://gravis.gfz-potsdam.de).Link to data products: ftp://isdcftp.gfz-potsdam.de/grace/GravIS/COST-G/Level-3/ICE
    Keywords: Gravity Recovery And Climate Experiment (GRACE) ; GRACE Follow-on (GRACE-FO) ; Level-3 ; Mass ; Mass Transport ; Ice-mass Change ; Time Variable Gravity ; Antarctic Mass Balance ; Greenland Mass Balance ; Sea-level Change ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD ; Earth Observation Satellites 〉 NASA Earth System Science Pathfinder 〉 GRACE
    Language: English
    Type: Dataset , Dataset
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  • 6
    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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  • 7
    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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  • 8
    Publication Date: 2022-05-13
    Description: Abstract
    Description: A seismic network was installed in the Helsinki capital area of Finland to monitor the response to a 6 km deep geothermal stimulation experiment in 2018. The Institute of Seismology, University of Helsinki (ISUH), installed these 100 geophones in addition to five surface broadband sensors and a 13-site borehole network deployed by the operating company. The stations operated for 106 days between 7 May and 20 August 2018 (day 127 to 232). The data set consists of raw CUBE-recorder data and converted MSEED data.
    Keywords: enhanced geothermal system ; induced seismicity ; array of arrays ; monitoring ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS 〉 SEISMOLOGICAL STATIONS ; geology ; EARTH SCIENCE 〉 SOLID EARTH ; 201802 ; Otaniemi Reservoir stimulation (ORS)
    Language: English
    Type: Dataset , temporary seismological network
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  • 9
    Publication Date: 2022-06-07
    Description: Abstract
    Description: Spherical harmonic coefficients that are zero over the continents, and provide the anomalous simulated ocean bottom pressure that includes non-tidal air and water contributions elsewhere during the specified timespan. These coefficients differ from GLO (or GAC) coefficients over the ocean domain by disregarding upper air density anomalies. The anomalous signals are relative to the mean field from 2003-2014.
    Keywords: Gravity Recovery And Climate Experiment Follow-On (GRACE-FO) ; Gravity Recovery And Climate Experiment (GRACE) ; Level-2 ; SHM ; Spherical Harmonic Model ; Gravitational Field ; GSM ; Geopotential ; Gravity Field ; Mass ; Mass Transport ; Total Water Storage ; Time Variable Gravity ; Mass Balance ; Gravity Anomaly ; Satellite Geodesy ; Ocean ; Ocean Bottom Pressure ; AOD ; Atmosphere ; Non-tidal Atmosphere ; Dealiasing Product ; EARTH SCIENCE 〉 SOLID EARTH 〉 GRAVITY/GRAVITATIONAL FIELD
    Language: English
    Type: Dataset , Dataset
    Format: 2 Files
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  • 10
    Publication Date: 2022-11-28
    Description: Abstract
    Description: This report describes the passive seismic data acquired by the TOPASE network deployed over Rittershoffen geothermal field (Alsace, France). The monitoring period extends from March 2013 to November 2014, which includes the stimulation of the first well of the doublet, the drilling of the second well and well tests. These data were acquired using 31 Earth Data Loggers PR6-24 and MARK-SERCEL L-4C-3D 1 Hz seismometers of the Geophysical Instrument Pool Potsdam (GIPP), which were provided to the KIT-AGW-Geothermal research division.
    Keywords: geothermics ; enhanced geothermal system ; Rittershoffen ; Upper Rhine Graben ; induced seismicity
    Language: English
    Type: Dataset , temporary seismological network
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