No active filters. Use the sidebar to filter search results.
6646 documents found in 520ms
# 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 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.
# 13
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.
# 14
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent anomalous contributions of the non-tidal atmosphere to the Earth's mean gravity field during the specified timespan. This includes the contribution of atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure elsewhere, and the contribution of upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
# 15
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: 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.
# 16
Dobslaw, Henryk • Dill, Robert • Dahle, Christoph
Abstract: Spherical harmonic coefficients that represent anomalous contributions of the non-tidal atmosphere to the Earth's mean gravity field during the specified timespan. This includes the contribution of atmospheric surface pressure over the continents, the static contribution of atmospheric pressure to ocean bottom pressure elsewhere, and the contribution of upper-air density anomalies above both the continents and the oceans. The anomalous signals are relative to the mean field from 2003-2014.
# 17
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.
# 18
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
# 19
Heidbach, Oliver • Rajabi, Mojtaba • Reiter, Karsten • Ziegler, Moritz • WSM Team
Abstract: The World Stress Map (WSM) database is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale. The WSM database release 2016 contains 42,870 data records within the upper 40 km of the Earth’s crust. The data are provided in three formats: Excel-file (wsm2016.xlsx), comma separated fields (wsm2016.csv) and with a zipped google Earth input file (wsm2016_google.zip). Data records with reliable A-C quality are displayed in the World Stress Map (doi:10.5880/WSM.2016.002). Further detailed information on the WSM quality ranking scheme, guidelines for the various stress indicators, and software for stress map generation and the stress pattern analysis is available at www.world-stress-map.org. VERSION HISTORY:Version 1.1. (15 June 2019): updated version of the zip-compressed Google Earth .kml (wsm2016_google.zip) with a new URL of the server.
# 20
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.
spinning wheel Loading next page