38 documents found in 158ms
# 1
Ritter, J. R. R. • Schmidt, B. • Haberland, C. • Weber, M.
Abstract: A seismological experiment was started in July 2014 in and around the East Eifel Volcanic Field, Germany. Following two unusually deep micro-earthquakes in September 2013 (about 40 km depth) a seismic network was installed to record more local seismic events in order to better understand the seismicity and dynamics of this region. Ten recording stations of the GFZ GIPP (Geophysical Instrument Pool Potsdam at Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences) and three recording stations of the KIT KABBA (Karlsruhe BroadBand Array at Karlsruhe Institute of Technology) were placed between the permanent stations of the state earthquake survey (Landeserdbebendienst). Altogether about 18-20 short-period and broadband stations could be used to study the seismicity up to August 2016. This dataset is unique concerning the station density in this region and allows determination of hypocenter parameters with high precision and accuracy, estimation of the local crustal and upper mantle structure as well as using array techniques for wavelengths of about 10-50 km. After August 2016 the network was reconfigured and continuously updated by KIT-GPI and LGB. Waveform data is available from the GEOFON data centre, under network code 1P, and is embargoed until September 2020.
# 2
Walter, Thomas • Gaete, Ayleen • Mikulla, Stefan • Kujawa, Christian • Salzer, Jacqueline • (et. al.)
Abstract: The network consists of 5 stations covering the volcanic cone flanks. These stations were operative during one year with the final purpose of detect likely changes in the seismic activity of Lascar after the 2014 Iquique earthquake. Waveform data are available from the GEOFON data centre, under network code 8E, and are embargoed until 001 2019.
# 3
Roessler, Dirk • Passarelli, Luigi • Govoni, Aladino • Bautz, Ralf • Dahm, Torsten • (et. al.)
Abstract: The temporary Extended Pollino Seismic Experiment (FDSN network code Y4) monitored the earthquake swarm in the Pollino Range region, Italy, between September 2014 and April 2015. The experiment followed the Pollino Seismic Experiment, 2012-2014 (network code: 4A) [1] in the same area, further enhancing the detection and analysis capabilities there. It was part of a collaborative effort made by the German Research Centre for Geoscience (GFZ) and the Istituto Nazionale di Geofisica e Vulcanologia (INGV) within the CCMP-Pompei, FEFI and NERA projects. The Pollino Range region is located at the transition from the Southern Apennines chain to the Calabrian arc. Striking a volume of about 20x20x15 km, the swarm started in October 2010, culminated in a Mw=5.2 on 25 October 2012 and has continued since with a variable rate of activity. The area represents a seismic gap as there are no documented historical M>6 earthquakes during the last thousand years. The tectonic structures of the area are poorly known. The Y4 network consisted of 19 stations including 14 broadband and five short-period instruments. All instruments were provided by the Geophysical Instrument Pool Potsdam (GIPP) and the CCMP-Pompei project at GFZ and INGV. They were complemented by another four temporary IV stations installed by INGV. The short-period stations had Mark L-4C3D sensors with EDR digitizers. The broadband stations were equipped with STS2.5 seismometers and RefTek RT130S digitizers or Güralp CMG-ESP or Güralp CMG-40T seismometers and EDR digitizers. Eleven broadband (CSA0 to CSA10) were installed in a small-aperture detection array in the west of the range. The other 8 stations (broadband: CSB, CSE, CSD0 and short period: CSF, CSG, CSH, CSI, CSK) formed a network in the swarm area. The array and the network stations recorded in continuous mode at 200 Hz. The sensors were buried in the ground at 0.5 m depth except for CSB, CSE and CSD0 which were installed on the surface. High-precision station coordinates were obtained by using differential GPS measurements. The data have been used to analyze the earthquakes and seismogenetic structures and to discern the characteristics of the swarm sequence. Waveform data will be fully open after April 2017. [1] Pollino Seismic Experiment, 2012-2014, doi:10.14470/9N904956
# 4
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.
# 5
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the land use classification of 2014 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 6
Lussem, Ulrike • Waldhoff, Guido
Abstract: This data set contains the land use classification of 2013 for the study area of the CRC/Transregio 32: "Patterns in Soil-Vegetation-Atmosphere Systems: monitoring, modelling and data assimilation", which corresponds to the catchment of the river Rur. The study area is mainly situated in the western part of North Rhine-Westphalia (Germany) and parts of the Netherlands and Belgium. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; Projection: WGS84, UTM Zone 32N.
# 7
Curdt, Constanze
Abstract: The TR32DB Metadata Schema is a structured list of metadata properties chosen to describe all data in the TR32DB with accurate metadata properties and thus to improve their searchability. The entire data provided to the TR32DB can be described with a number of descriptive metadata properties (e.g. creator, title, abstract, keywords, etc.) and administrative or technical properties (e.g. file format, file type, rights statement, etc.). The stored data are organized in six main data type categories: Data, Geodata, Report, Picture, Presentation, and Publication. The TR32DB Metadata Schema is set up in two levels to describe the various types of data collected by the CRC/TR32 participants. The first level is the General level. This level includes metadata properties classified in seven categories: Identification, Responsible Party, Topic, File Details, Constraints, Geographic, and automatic generated Metadata Details. The second level is the Specific level and contains the data type specific metadata properties. Currently, six data types are included: Data, Geodata, Report, Picture, Presentation, and Publication. Publication takes a special position and is once again sub-divided into the sub-categories: Article, Book, Book Section, and Event Paper.
# 8
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.
# 9
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.
# 10
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.
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