11 documents found in 117ms
# 1
Dobslaw, Henryk • Bergmann-Wolf, Inga • Dill, Robert • Forootan, Ehsan • Klemann, Volker • (et. al.)
Abstract: The ability of any satellite gravity mission concept to monitor mass transport processes in the Earth system is typically tested well ahead of its implementation by means of various simulation studies. Those studies often extend from the simulation of realistic orbits and instrumental data all the way down to the retrieval of global gravity field solution time-series. Basic requirement for all these simulations are realistic representations of the spatio-temporal mass variability in the different sub-systems of the Earth, as a source model for the orbit computations. For such simulations, a suitable source model is required to represent (i) high-frequency (i.e., sub- daily to weekly) mass variability in the atmosphere and oceans, in order to realistically include the effects of temporal aliasing due to non-tidal high-frequency mass variability into the retrieved gravity fields. In parallel, (ii) low-frequency (i.e., monthly to interannual) variability needs to be modelled with realistic amplitudes, particularly at small spatial scales, in order to assess to what extent a new mission concept might provide further insight into physical processes currently not observable. The updated source model provided here attempts to fulfil both requirements: Based on ECMWF's recent atmospheric reanalysis ERA-Interim and corresponding simulations from numerical models of the other Earth system components, it offers spherical harmonic coefficients of the time-variable global gravity field due to mass variability in atmosphere, oceans, the terrestrial hydrosphere includ- ing the ice-sheets and glaciers, as well as the solid Earth. Simulated features range from sub-daily to multiyear periods with a spatial resolution of spherical harmonics degree and order 180 over a a period of 12 years. In addition to the source model, a de-aliasing model for atmospheric and oceanic high-frequency variability with augmented systematic and random noise is provided for a realistic simulation of the gravity field retrieval process.
# 2
Trond Ryberg • Christian Haberland • Michael Weber • Wilfried Jokat • Jan Behrmann • (et. al.)
Abstract: Seismic Data, including raw, MSEED and SEG-Y files, of the large-scale controlled-source survey in Northern Namibia (Kaokoveld) using combined on- and offshore experiments.
# 3
Maria Baumann-Wilke • Klaus Bauer • Manfred Stiller • Niels H. Schovsbo
Abstract: SEG-Y data of the near surface active and passive seismic experiments on Bornholm, Denmark, with the aim of investigating the seismic properties of the Alum Shale black shale formation.
# 4
Maria Baumann-Wilke • Klaus Bauer • Manfred Stiller • Niels H. Schovsbo
Abstract: SEG-Y data of the near surface active and passive seismic experiments on Bornholm, Denmark, with the aim of investigating the seismic properties of the Alum Shale black shale formation.
# 5
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: Python based pyGRASS scripts implementing Köppen-Geiger climate classifications from CMIP5 and PMIP3 climate model simulation datasets. And a script for computation of area statistics of the classification data, as well as documentation for using the scripts and accessing the source climate simulation data.
# 6
Martina Klose • Stefan Zellmann • Yaping Shao • Ulrich Lang
Abstract: The video shows results of a large-eddy simulation of Convective Turbulent Dust Emission (CTDE) described by Klose and Shao (2013), Article Large-eddy simulation of turbulent dust emission, Aeolian Research, 8 (doi10.1016/j.aeolia.2012.10.010). Modeled dust concentration is visualized with a volume rendering approach. A particle-tracing is applied to illustrate a dust devil occurring in the simulation. Colors indicate the direction of particle movement. The visualization has been done with DeskVOX, a visualization package developed at the Regional Computing Center Cologne. This video is licensed under CC BY 3.0 (https//creativecommons.org/licenses/by/3.0/).
# 7
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Köppen-Geiger climate classification of the MPI-ESM-P Last Glacial Maximum (21k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 8
Christian Willmes • Daniel Becker • Christoph Hütt • Sebastian Brocks • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P Mid-Holocene (6k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 9
Christian Willmes • Daniel Becker • Sebastian Brocks • Christoph Hütt • Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P PreIndustrial r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
# 10
T. Hauck • M. Domnina • C. Molden • J. Cetinkaya
Abstract: This dataset comprises the techno-typological analysis of the lithic artefact assemblage of Yabroud rock-shelter II – Layer 4. This assemblage is part of a much larger collection of lithic artefacts and bone tools excavated at different localities in Yabroud by Alfred Rust between 1930 and 1933. The Yabroud collection is housed at the Institute of Prehistoric Archaeology of Cologne University, Germany.
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