5572 documents found in 246ms
# 1
Thybo, Hans • Balling, Niels • Maupin, Valerie • Ritter, Joachim • Tilmann, Frederik
Abstract: The ScanArray experiment is a major collaborative effort of institutions in Scandinavia and Germany to map crustal and mantle structure below Scandinavia using a dense temporary deployment of broadband seismometers. Scientific questions to be addressed include (among others): 1. What supports the topographic high of the Scandes? 2. How does lithospheric thickness vary within Fennoscandia? 3. What is the internal fabric of the mantle lithosphere? 4. Are there differences in the crustal structure between the different blocks of Fennoscandia? This data set, termed ScanArray core, comprises the temporary stations deployed by the University of Copenhagen, the University of Aarhus, and the University of Oslo, the Karlsruhe Institute of Technology (KIT) and the GeoForschungsZentrum Potsdam (GFZ) as part of the ScanArray experiment. Stations within this dataset are deployed for periods between 2 and 4 years. Data are available from the GFZ seismological data archive with network code 1G. Waveform data will be fully opened in early 2020. The wider ScanArray dataset additionally includes the multi-use temporary deployments Neonor2 (FDSN-code 2D, University of Bergen, NORSAR) and ScanLips3D (University of Leicester; archived at IRIS DMC), and the permanent networks of Sweden (UP, SNSN), Norway (NS, NNSN), Denmark (DK, DNSN) and Finland (HE, FNSN) as well as a subset of NORSAR stations (NO). The SNSN rearranged the distribution of broadband seismometers and deployed additional temporary stations to meet the objectives of the ScanArray experiment. ScanArray core and these other networks (except ScanLips3D) jointly form the virtual network _SCANARRAY. Partners of the ScanArray consortium are: University of Aarhus, Uppsala University, University of Oslo, University of Bergen, Karlsruhe Institute of Technology, NORSAR, University of Copenhagen, Deutsches GeoForschungsZentrum (GFZ) and Istanbul Technical University.
# 2
Schurr, Bernd • Yuan, Xiaohui • Haberland, Christian • Mechie, James • Kufner, Sofia-Katerina
Abstract: The TIPTIMON seismic deployment in Tajikistan aimed to study the seismotectonics of the western Pamir and Tajik-Afghan basin. Within this network 25 seismic stations were deployed between 2012 to 2014 to study shallow and intermediate depth seismicity. TIPTIMON (Tien Shan-Pamir Monitoring) is a research programme funded by the German Federal Ministry of Education and Research (BMBF) within the CAME Programme (Central Asia - Monsoon dynamics and Geo-ecosystems). All stations recorded continuously with 100 samples per second and were equipped with EDL (EarthData PR6-24) recorders and broadband seismometers. Waveform data is available from the GEOFON data centre, under network code 5C, and is embargoed until April 2018.
# 3
Qian, Hui • Mechie, James
Abstract: From June 2012 to November 2013, the Chinese Academy of Geological Sciences (CAGS) together with the Deutsches GeoForschungsZentrum Potsdam (GFZ) operated an array of 80 broadband seismic stations in a 300 km by 150 km area straddling the Longmenshan fault zone around the epicentre of the Wenchuan earthquake. Since the occurrence of the Ms 8.0 Wenchuan earthquake which ruptured about 300 km of the Longmenshan fault zone in May 2008, this region has attracted the attention of many Earth scientists. Since the earthquake the Wenchuan Earthquake Fault Scientific Drilling (WFSD) Project has drilled several holes up to 3 km depth. The main purpose of the present array of seismological stations is to investigate the deep structure of the region surrounding the epicentre of the Wenchuan earthquake. While the array was operating the Ms 6.6 Lushan earthquake occurred in April 2013 at the SW edge of the array. Waveform data is available from the GEOFON data centre, under network code 2F, and is embargoed until DEC 2017.
# 4
Tilmann, Frederik • Yuan, Xiaohui • Rümpker, Georg • Rindraharisaona, Elisa
Abstract: The island of Madagascar occupies a key region in both the assembly and the multi-stage breakup of Gondwanaland, itself part of the super-continent Pangaea. Madagascar consists of an amalgamation of continental material, with the oldest rocks being of Archaean age. Its ancient fabric is characterised by several shear zones, some of them running oblique to the N-S trend, in particular in the south of the island. More recently during the Neogene, moderate volcanism has occurred in the Central and Northern part of the island, and there are indications of uplift throughout Eastern Madagascar over the last 10 Ma. Although Madagascar is now located within the interior of the African plate and far away from major plate boundaries (>1000 km from the East African rift system and even further from the Central and South-West Indian Ridges), its seismic activity indicates that some deformation is taking place, and present-day kinematic models based on geodetic data and earthquake moment tensors in the global catalogues identify a diffuse N-S-oriented minor boundary separating two microplates, which appears to pass through Madagascar. In spite of the presence of Archaean and Proterozoic rocks continent-wide scale studies indicate a thin lithosphere (<120 km) throughout Madagascar, but are based on sparse data and cannot resolve the difference between eastern and western Madagascar. We have operated an ENE-WSW oriented linear array of 25 broadband stations in southern Madagascar, extending from coast to coast and sampling the sedimentary basins in the west as well as the metamorphic rocks in the East, cutting geological boundaries seen at the surface at high angle. The array crosses the prominent Bongolava-Ranotsara shear zone which is thought to have been formed during Gondwanaland assembly. The array recorded the magnitude 5.3 earthquake of January 25, 2013 which occurred just off its western edge. In addition, in May 2013 we have deployed 25 short period sensors in the eastern part of the study area, where there is some so-far poorly characterised seismicity. Waveform data is available from the GEOFON data centre, under network code ZE, and is embargoed until DEC 2018.
# 5
Reinsch, Thomas • Henninges, Jan
Abstract: Reinsch et al. (2013) describe the installation of a novel fibre optic cable behind the anchor casing of the geothermal well HE-53, Hellisheiði geothermal field, SW Iceland. Within this data publication, DTS temperature data, acquired together with optical time domain reflectometry (OTDR) data during three different field campaigns are presented. Data have been acquired during the installation in spring 2009, during the onset of a production test in summer 2009 and after a 8.5 month shut-in period in summer 2010.
# 6
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2010 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using RapidEye and Landsat 5 TM. For the land use analysis datasets of the following acquisition dates were used from RapidEye: May 23, May 20, July 07, July 08 and July 10. From Landsat 5 a dataset of August 14 was incorporated. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product, the Multi-Data Approach (MDA) was used to combine the remote sensing derived land use information with additional data sets like the 'Authorative Topographic-Cartographic Information System' (ATKIS Basic-DLM, AAA schema) and 'Physical Block' information. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 7
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2009 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using &quot;Advanced Spaceborne Thermal Emission and Reflection Radiometer&quot; (ASTER) and RapidEye. For the land use analysis datasets and of the following acquisition dates were used from RapidEye: May 24, June 01, August 15/16, August 31 and September 08. From ASTER a dataset of July 27 was incorporated. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product the Multi-Data Approach (MDA) was used to combine the remote sensing derived land use information with additional data sets like the ‘Authorative Topographic-Cartographic Information System’ (ATKIS Basic-DLM, AAA schema) and ‘Physical Block’ information. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 8
Waldhoff, Guido
Abstract: This data set contains the enhanced land use classification of 2008 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 land use classification is derived from supervised, multi temporal remote sensing data analysis using &quot;Advanced Spaceborne Thermal Emission and Reflection Radiometer&quot; (ASTER), Resourcesat-1 (IRS-P6), Landsat 5 TM (L5) and Landsat 7 ETM+ (L7). For the land use analysis datasets of the following acquisition dates were used: ASTER (VNIR): May 05, 2008; IRS-P6 (LISS III): June 10, 2008; L7: July 15, 2008; L5: September 09, 2008. The incorporated sensors have different spatial resolutions of 15 m (ASTER, VNIR), 23.5 m (IRS-P6) and 30 m (Landsat TM & ETM+). For the land use analysis all datasets were resampled to 15 m spatial resolution. Full coverage of the study area was not available for all acquisition dates. To enhance the information content of the land use data product the Multi-Data Approach (MDA) was used to combine the remote sensing derived land use information with additional data sets like the ‘Authorative Topographic-Cartographic Information System’ (ATKIS Basic-DLM, AAA schema) and ‘Physical Block’ information. The classification is provided in GeoTIFF and in ASCII format. Spatial resolution: 15 m; projection: WGS84, UTM Zone 32N.
# 9
Labitzke, Tim • Bergmann, Peter • Kießling, Dana • Schmidt-Hattenberger, Cornelia
Abstract: Electrical resistivity methods, either in vertical electrical sounding mode or lateral mapping mode, assess the resistivity distribution in the subsurface. Electrical resistivity tomography (ERT) has been successfully applied to image fluid-flow processes at various length scales and depths, mainly with electrodes deployed at the surface.A practical application of the ERT monitoring technique was demonstrated at the geological CO2 storage site in Ketzin (Germany), where time-lapse surface- downhole ERT measurements as well as cross- hole ERT measurements have been carried out during a CO2 injection experiment. In the frame of the multidisciplinary monitoring concept, a combination of surface-downhole(SD) geoelectric measurements was tested (Kiessling et al., 2010) with the objective to enlarge the near-wellbore area, and to address limitations of the individual survey techniques. The geoelectric measurements at the Ketzin site comprise the following survey types: 3D SD-ERT, 2D SD-ERT and Crosshole ERT.The present data publication is focused on the 3D SD- ERT data sets only. Users have the opportunity to assess SD -ERT data in two main steps: The raw field data (voltage and current time -series) and the preprocessed apparent resistivities. The raw field data can be used to apply own preprocessing procedures in order to determine apparent resistivities. Using the pre- processed apparent resistivities, it is possible to start right away into the resistivity inversion.
# 10
Möller, Fabian • Liebscher, Axel • Martens, Sonja • Schmidt-Hattenberger, Cornelia • Kühn, Michael
Abstract: The pilot site Ketzin is the longest-operating European onshore CO2 storage site and the only one in operation in Germany. Since the beginning of the storage activity at the end of June 2008, more than 56.000 tons of CO2 were successfully injected until December2011. CO2 is injected into a saline aquifer. It consists of 630 m to 650 m deep sandstone units of the Stuttgart Formation of Upper Triassic age. They were deposited in a fluvial environment. A sequence of about 165 m of overlaying mudstones and anhydrites is sealing the storage complex and act as a caprock. The research and development programme at Ketzin is among the most extensive worldwide in the context of geological CO2 storage. Research activities have produced a broad data base and knowledge concerning the storage complex at Ketzin as well as generic cognition This data publication compiles and reviews the operational data recorded at the Ketzin pilot site for 2009 (injection data: CO2 mass flow, temperatures, pressures, flow rate, etc.).
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