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# 11
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent the sum of the ATM (or GAA) and OCN (or GAB) coefficients during the specified timespan. These coefficients represent anomalous contributions of the non-tidal dynamic ocean to ocean bottom pressure, the non-tidal atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure, and the upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
# 12
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent anomalous contributions of the non-tidal dynamic ocean to ocean bottom pressure during the specified timespan. The anomalous signals are relative to the mean field from 2003-2014.
# 13
Kvas, Andreas • Mayer-Gürr, Torsten • Krauss, Sandro • Brockmann, Jan Martin • Schubert, Till • (et. al.)
Abstract: 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)
PARAMETERS: modelname GOCO06sproduct_type gravity_fieldearth_gravity_constant 3.9860044150e+14radius 6.3781363000e+06max_degree 300norm fully_normalizedtide_system zero_tideerrors formal
# 14
Kueck, Jochem
Abstract: Compilation of downhole logging data from the borehole PTA2 inside Bradshaw Army Camp in the saddle region between Mauna Kea and Mauna Loa on the Big Island of Hawai'i (Composite OSG Logging Data Hawaii PTA2.asc, ASCII). The PTA2 borehole was fully cored into a lava dominated rock sequence; open hole bit size was HQ. The data were derived from the following logging runs in February and June 2016: GR total natural Gamma ray, SGR spectrum natural Gamma ray, MS magnetic susceptibility, BS borehole sonic, DIP dipmeter, and ABI43 acoustic borehole imager. All sondes were run in an open hole section below the casing shoe: 885 - 1566 m except for the SGR, which was also measured in the cased upper section and the ABI43, which also logged a 40 m long section inside the casing. The logging data are complemented by Acoustic borehole image data that were measured in June 2016 in the open hole section below the casing shoe: 889 - 1566 m; open hole bit size was HQ. Logging sonde: ABI43 (ALT). The images are oriented to north (magnetic orientation). File formats are DLIS and WCL (WellCAD 5.2). The data are further described in Jerram et al. (2019, https://doi.org/10.5194/sd-25-15-2019). The logging data was measured and processed by the Operational Support Group (OSG) of ICDP hosted by GFZ Potsdam (see https://www.icdp-online.org/support/service/downhole-logging/?type=12&tx_icdpdatatables_pi1%5Bajaxcall%5D=1 for further information). Detailed information about the OSG Slimhole Wireline Logging Sondes ist provided at https://www.icdp-online.org/fileadmin/icdp/services/img/Logging/OSG_Slimhole_Sondes_Specs_pics_2019-05.pdf. The data are also described in Jerram et al. (2019), Millet et al. (2017, 2018) and Willoughby, L. (2015). The file structure is described in the header of the data file.
# 15
Oeser, Ralf A. • Stroncik, Nicole • Moskwa, Lisa-Marie • Bernhard, Nadine • Schaller, Mirjam • (et. al.)
Abstract: The Chilean Coastal Cordillera features a spectacular climate and vegetation gradient, ranging from arid and unvegetated areas in the north to humid and forested areas in the south. The DFG Priority Program "EarthShape" (Earth Surface Shaping by Biota) uses this natural gradient to investigate how climate and biological processes shape the Earth's surface. We explored the critical zone, the Earth's uppermost layer, in four key sites located in desert, semidesert, mediterranean, and temperate climate zones of the Coastal Cordillera, with the focus on weathering of granitic rock. Here, we present first results from four ~2m-deep regolith profiles to document: (1) architecture of weathering zone; (2) degree and rate of rock weathering, thus the release of mineral-derived nutrients to the terrestrial ecosystems; (3) denudation rates; and (4) microbial abundances of bacteria and archaea in the saprolite. From north to south, denudation rates from cosmogenic nuclides are ~10 t km-2 yr-1 at the arid Pan de Azúcar site, ~20 t km-2 yr-1 at the semi-arid site of Santa Gracia, ~60 t km-2 yr-1 at the mediterranean climate site of La Campana, and ~30 t km-2 yr-1 at the humid site of Nahuelbuta. A and B horizons increase in thickness and elemental depletion or enrichment increases from north (~26 °S) to south (~38 °S) in these horizons. Differences in the degree of chemical weathering, quantified by the chemical depletion fraction (CDF), are significant only between the arid and sparsely vegetated site and the other three sites. Differences in the CDF between the sites, and elemental depletion within the sites are sometimes smaller than the variations induced by the bedrock heterogeneity. Microbial abundances (bacteria and archaea) in saprolite substantially increase from the arid to the semi-arid sites. With this study, we provide a comprehensive dataset characterizing the Critical Zone geochemistry in the Chilean Coastal Cordillera. This dataset confirms climatic controls on weathering and denudation rates and provides prerequisites to quantify the role of biota in future studies. The data are supplementary material to Oeser et al. (2018). All samples are assigned with International Geo Sample Numbers (IGSN), a globally unique and persistent Identifier for physical samples. The IGSNs are provided in the data tables and link to a comprehensive sample description in the internet. The content of the eight data tables is: Table S1: Catena properties of the four primary EarthShape study areas.Table S2: Major and selected trace element concentration for bedrock samples.Table S3 Normative modal abundance of rock-forming minerals.Table S4: Major and selected trace element concentration for regolith samples and dithionite and oxalate soluble pedogenic oxides.Table S5: Weathering indices CDF and CIA, and the mass transfer coefficients (τ) for major and trace elements along with volumetric strain (ɛ).Table S6: Chemical weathering and physical erosion ratesTable S7: Relative microbial abundances in saprolite of the four study areas.Table S8: Uncorrected major and trace element concentration. The data tables are provided as one Excel file with eight spreadsheets, as individual tables in .csv format in a zipped archive and as printable PDF versions in a zipped archive.
# 16
Pijnenburg, Ronald • Verberne, Berend • Hangx, Suzanne • Spiers, Christopher
Abstract: Pore pressure reduction in sandstone reservoirs generally leads to small elastic plus inelastic strains. These small strains (0.1 – 1.0% in total) may lead to surface subsidence and induced seismicity. In current geomechanical models, the inelastic component is usually neglected, though its contribution to stress-strain behaviour is poorly constrained. To help bridge this gap, we performed deviatoric and hydrostatic stress-cycling experiments on Slochteren sandstone samples from the seismogenic Groningen gas field in the Netherlands. We explored in-situ conditions of temperature (T = 100°C) and pore fluid chemistry, porosities of 13 to 26% and effective confining pressures (≤ 320 MPa) and differential stresses (≤ 135 MPa) covering and exceeding those relevant to producing fields. The findings of our work are outlined in the corresponding paper. The data presented here are the measured mechanical tabular data and microstructural data (stitched mosaic of backscatter electron images) provided as uncompressed jpg images. In addition, for one sample we include chemical element maps obtained through Electron Dispersive X-ray spectrometry (EDX).
# 17
Willingshofer, Ernst • Sokoutis, Dimitrios • Kleinhans, Maarten • Beekmann, Fred • Schönebeck, Jan-Michael • (et. al.)
Abstract: This dataset provides friction data from ring-shear test (RST) on a plastic (polyester) sand material that has been used in flume experiments (Marra et al., 2014; Kleinhans et al., 2017) and is now used in the Tectonic Laboratory (TecLab) at Utrecht University (NL) as an analogue for brittle layers in the crust or lithosphere. 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. The material has been characterized by means of internal friction coefficient and cohesion as a remote service by GFZ Potsdam for TecLab (Utrecht University). According to our analysis the material behaves as a Mohr-Coulomb material characterized by a linear failure envelope and peak, dynamic and reactivation friction coefficients of 0.76, 0.60, and 0.66, respectively. Cohesions are in the order of few tens of Pa. A minor rate-weakening of 3% per ten-fold rate change is evident.
# 18
Warsitzka, Michael • Ge, Zhiyuan • Schönebeck, Jan-Michael • Pohlenz, Andre • Kukowski, Nina
Abstract: 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.
# 19
Xu, Xinyu
Abstract: We compile the GOCE-only satellite model GOSG01S complete to spherical harmonic degree of 220 using Satellite Gravity Gradiometry (SGG) data and the Satellite-to-Satellite Tracking (SST) observations along the GOCE orbit based on applying a least-squares analysis. The diagonal components (Vxx, Vyy, Vzz) of the gravitational gradient tensor are used to form the system of observation equations with the band-pass ARMA filter. The point-wise acceleration observations (ax, ay, az) along the orbit are used to form the system of observation equations up to the maximum spherical harmonic degree/order 130. The GOCE related satellite gravity models GOSG01S, GOTIM05S, GODIR05S, GOTIM04S, GODIR04S, GOSPW04S, JYY_GOCE02S, EIGEN-6C2 and EGM2008 are also validated by using GPS-leveling data in China and USA. According to the truncation at degree 200, the statistic results show that all GGMs have very similar differences at GPS-leveling points in USA, and all GOCE related gravity models have better performance than EGM2008 in China. This new model was developed by School of Geodesy and Geomatics (SGG) of Wuhan University (WHU) and Institute of Geodesy of University of Stuttgart. More details about the gravity field model GOSG01S is given in our paper “A GOCE only gravity model GOSG01S and the validation of GOCE related satellite gravity models ” (Xu X, Zhao Y, Reubelt T, et al. Geodesy and Geodynamics. 2017, 8(4): 260-272. http://dx.doi.org/10.1016/j.geog.2017.03.013). This work is supported by the National Key Basic Research Program of China (973 program, grant no.: 2013CB733301), the Major International (Regional) Joint Research Project (grant no.: 41210006).
GOSG01S is a static gravity field model complete to spherical harmonic degree of 220 derived by using the Satellite Gravity Gradiometry (SGG) data and the Satellite-to-Satellite Tracking (SST) observations along the GOCE orbit based on least-squares analysis. Input data:-- GOCE SGG data: EGG_NOM_2 (GGT: Vxx, Vyy, Vzz) in GRF (1/11/2009-31/5/2012)-- GOCE SST data: SST_PKI_2, SST_PCV_2, SST_PRD_2 (1/11/2009-5/7/2010)-- Attitude: EGG_NOM_2 (IAQ), SST_PRM_2 (PRM)-- Non-conservative force: Common mode ACC (GG_CCD_1i)-- Background model: tidal model (solid etc.), third-body acceleration, relativistic corrections, ...-- GOSG01S is a GOCE only satellite gravity model, since no priori gravity information was used in modelling procedure. Data progress strategies: Data preprocessing:- Gross outlier elimination and interpolation (only for the data gaps less than 40s).- Splitting data into subsections for gaps > 40s The normal equation from SST data:- Point-wise acceleration approach (PAA)- Extended Differentiation Filter (low-pass)- Max degree: up to 130- Data: PKI, PCV, CCD The normal equation from SGG data:- Space-Wise LS method- Max degree: up to 220- Data: GGT, PRD, IAQ, PRM- Band-pass filter: used to deal with colored-noise of GGT observations (pass band 0.005-0.041Hz )- Forming the normal equations according to subsections- Spherical harmonic base function transformation instead of transforming GGT from GRF to LNRF Combination of SGG and SST:- Max degree: up to 220- The VCE technique is used to estimate the relative weights for Vxx, Vyy, Vzz- Tikhonov Regularization Technique (TRT) is only applied to near (zonal) terms (m<20)- Strictly inverse the normal matrix based on MPI
# 20
Bosman, Alessandro • Cuffaro, Marco • Conti, Alessia • Gasperini, Luca • Petracchini, Lorenzo • (et. al.)
Abstract: This dataset includes high-resolution bathymetric data in numerical form (xyz) and depth given in m for a not previously covered (at this resolution=50 m) 4970 km^2 area of the Ionian Sea (Italy). The study area is located on the upper part of the continental slope of the Calabrian-Ionian margin between 120 m and 2000 m water depth. Dataset represents results of multibeam survey carried out during the Seismofaults 2017 cruise using a multibeam Teledyne Reson SeaBat 7160 (41-47 kHz; footprint size of 1°× 1°) echosounder. <br> We identified precise positioning through differential GPS (accuracy ±0.5 m), while we derived sound velocity profiles from multiple Conductivity-Temperature-Depth (CTD) casts (Seabird 911plus) to ray trace the acoustic wave along the water column. We processed multibeam data on board using Caris Hips & Sips hydrographic software (Bosman et al, 2015) We used backscatter images and observations of raw data scattering along the water column to verify anomalies of amplitude on the seafloor and along the water column. The resulting dataset is presented in ASCII format and included in the following files: bathymetry_seismofault.txt (contains coordinates (°) - col1:lon and col2:lat (WGS 84, DD) - and seabottom depth (m) - col3 -). A detailed description of the scientific background is given in Cuffaro et al. (2019) to which these data are supplementary material. For technical reference, please consult the data description file.
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