92 documents found in 227ms
# 1
Larose, Eric
Abstract: The experiments are performed down the Edward Bailey valley, in the Renland peninsula, Scoresby Sund, Greenland. General purpose: ambient seismic noise recordings are obtained to characterize the geometry/structure of the valley the geometry/structure of the glaciers the microseismicity of the glacier, the friction process, crack orientation and mechanisms the seismic activity of glacial rivers, the relation between hydrological flow and noise spectrum the localization and characterization of sub-glacial flow from surface recordings. Seismic stations were composed of 3C broadband Trillium compact seismometer, a Cube datalogger and a 12V (D-cell types, stacked) battery pack.The experiment splits into three surveys performed at three different sites, one after the other, from july to august 2016. In the first experiment, we deploy 11 stations, 9 of them on a flat sandy area covering, partly, immobile ice that seems to be blocked between the Bailey Glacier (upstream) and the Apusinikajik glacier (downstream). The 9 sensors are placed a few hundreds of meters from the Apusinikajik lateral front, the last 2 are placed on the glacier next to the collapsing front. In the second and third experiment (chronologically speaking), we deploy 10 and 8 stations, respectively. Each deployment is performed along a Bailey valley transect. The first one intercepts the front-end of the glacier and the sub-glacial river exit (flow of several m3/s). The second transect is performed some 850m upstream. Waveform data are available from the GEOFON data centre, under network code 3H, and are embargoed until summer of 2019.
# 2
Haberland, Christian • Seneviratne, Mahinda • Dreiling, Jennifer
Abstract: A temporary seismic network was installed in Sri Lanka for a time period of 13 months. The stations were equipped with Earth Data EDR-210 digital recorders and Trillium 120 PA, Güralp C3E and Güralp CMG-3ESP broadband sensors. Main aim of the network is to shed light on the crustal and upper mantle structure beneath the island. Also local seismic activity is studied.
# 3
Cesca, Simone • López Comino, José Ángel • Kühn, Daniela • Dahm, Torsten
Abstract: A temporary installation has been realized in the Netherlands, in the region of the Groningen gas field. The objective of this installation is to test the usage of a conventional array layout for detection of microseismicity. The region of the Groningen gas field is an excellent test ground, since the operating company NAM (Nederlandse Aardolie Maatschappij) installed a multitude of shallow borehole stations from 2014 to 2017, of which 65 – in addition to the already existing shallow borehole stations installed by KNMI (Koninklijk Nederlands Meteorologisch Instituut) – were already online during the time of measurement, thus ensuring an earthquake catalogue that is complete down to low magnitudes during the time of array installation. The site for the installation was decided together with local parties involved in the seismicity monitoring, i.e. KNMI and NAM, and was located close to the village of Wittewierum. Stations were installed from the 12th of July 2016 to the 29th of August 2016 (49 days). The array was composed of 9 stations. The array was constructed in three concentric rings of 75 m, 150 m and 225 m diameter including a central station, but the geometry had to be adapted to the local conditions. Each station consisted of a broadband sensor (Trillium 120 s), an acquisition system (CUBE datalogger), a battery, and a GPS antenna. The entire system was installed at ~1 m depth (apart from GPS and transmission antennas), requiring only the digging of shallow holes, one for the installation of a thin concrete plate and the sensor, another one for a box containing the remaining instrumentation. The array stations recorded continuously with little outages; only station WAR1 stopped recording on the 22nd of August and station WAR7 stopped recording from 20th to 22nd of August. Waveform data is available from the GEOFON data centre, under network code 1C, and is fully open.
# 4
Vey, Sibylle • Güntner, Andreas • Wickert, Jens • Blume, Theresa • Thoss, Heiko • (et. al.)
Abstract: We provide data of a case study from the GNSS station Wettzell, Germany (WTZR). This data set contains snow depth derived from GNSS data using reflectometry. It covers a time period from July 1, 2012 to July 1, 2015 and gives the integral snow depth over an area of about 150 by 30 m. The data are daily averages based on daily measurements from 4 different satellites. The GNSS derived snow depth was validated by observations from ultrasonic sensors (US). The detailed description of the processing, the evaluation with US and the discussion of the results is described in Vey et al. (2016). The data are provided in ASCII format with four colums: GNSS data (file Vey-et-al-2016-GNSS_2012_15.txt): (1) year (YEAR) (2) day of the year (DOY) (3) snow depth (SD cm) from GNSS (4) accuracy, root mean square error (RMSE cm) Ultrasonic Sensor data (file Vey-et-al-2016-US_2012_15..txt): (1) year (YEAR) (2) day of the year (DOY) (3) SD_US_pillow (cm) snow depth from the US sensor located above snow pillow (4) SD_US_SPA(cm) snow depth from the US sensor located at the snow pack analyzer
# 5
Lott, Friederike • Al-Qaryouti, Mahmoud • Corsmeier, Ulrich • Ritter, Joachim
Abstract: A temporary seismic array was installed in combination with a meteorological station in the Dead Sea valley, Jordan. Within the scope of the HGF virtual institute DESERVE we operated 15 temporary seismic stations between February 2014 and February 2015 together with a nearby meteorological station close to the east coast of the Dead Sea. The main aim was to acquire data to study the influence of wind on seismic records and retrieve related meteorological parameters. The study area is scarcely populated and has ideal meteorological conditions to study periodically occurring winds.
# 6
Ries, J. • Bettadpur, S. • Eanes, R. • Kang, Z. • Ko, U. • (et. al.)
Abstract: GGM05C is an unconstrained global gravity model complete to degree and order 360 determined from 1) GRACE K-band intersatellite range-rate data, GPS tracking and GRACE accelerometer data, 2) GOCE gradiometer data (ZZ+YY+XX+XZ) spanning the entire mission using a band pass filter of 10-50 mHz and polar gap filled with synthetic gradients from GGM05S to degree/order 150 evaluated at 200-km altitude, and 3) terrestrial gravity anomalies from DTU13 (Andersen et al., 2014). The value for C20 has been replaced with a value derived from satellite laser ranging. No rate terms were modeled. For additional details on the background modeling, see the CSR RL05 processing standards document available at ftp://podaac.jpl.nasa.gov/allData/grace/docs/L2-CSR0005_ProcStd_v4.0.pdf (Bettadpur 2012). Detailed information about GGM05C is available at ftp://ftp.csr.utexas.edu/pub/grace/GGM05/README_GGM05C.pdf (Ries et al., 2016).
# 7
Christian Zeeden • Lydia Krauß • Frank Lehmkuhl • Holger Kels
Abstract: Supplementary R script for a manuscript. The script facilitates automatic drawing of a representative outcrop from colour data (L*, a*, b*).
# 8
Andreas Maier • Andreas Zimmermann
Abstract: CRC 806 “Our Way to Europe” – Project E1 Population Dynamics: Demographic Changes of Hunter-Gatherer Populations during the Upper Pleistocene and Early Holocene in Europe Principal Investigator: Prof. Dr Andreas Zimmermann PostDoc: Dr Isabell Schmidt THE CURRENT DATABASE VERSIONS ARE FOR INTERNAL USE BY MEMBERS OF THE CRC 806 ONLY, IN AGREEMENT WITH THE RESPECTIVE AUTHORS (see below) General information: Databases used (revised and extended) within this work were courtesy provided by: Jean-Pierre Bocquet Appel INQUA – Radiocarbon Palaeolithic Europe Database (Pierre Vermeersch) Legend: #ID: Identification number given within the current database system #Site: most common spelling, starting with main name – comma – article [optional: comma – different spellings, different names of the site] #Layer/Concentration #Longitude: Decimal Degrees, World Geodetic System 1984 #Latitude: Decimal Degrees, World Geodetic System 1984 #Quality: 1 = secure attribution (assemblage size, radiometric data, stratigraphy, diagnostic tools); 2 = possible attribution (small assemblage, no radiometric data, insecure context, few/no diagnostic tools) #Temp_Group: Assemblage attributed to 1 = Temporal Group 1 (33.000 – 29.000 calBP); 2 = Temporal Group 2 (29.000 – 25.000 calBP); 3 = no temporal attribution possible #Attribution: Temporal Attribution by: R = Radiometric Dating; T = Typology MAG=Magdalenian; LGM=Last Glacial Maximum; GRA=Gravettian; EUP=Early Upper Paleolithic (Aurignacian) Authors to contact: MAG: Dr Inga Kretschmer (Inga.Kretschmer_at_rps.bwl.de) LGM and GRA: Dr Andreas Maier (and.maier_at_fau.de) EUP: Dr Isabell Schmidt (isabell.schmidt_at_uni-koeln.de)
# 9
Okujeni, Akpona • van der Linden, Sebastian • Hostert, Patrick
Abstract: Berlin-Urban-Gradient is a ready-to-use imaging spectrometry dataset for multi-scale unmixing and hard classification analyses in urban environments. The dataset comprises two airborne HyMap scenes at 3.6 and 9 m resolution, a simulated spaceborne EnMAP scene at 30 m resolution, an im-age endmember spectral library and detailed land cover reference information. All images are pro-vided as geocoded reflectance products and cover the same subset along Berlin’s urban-rural gra-dient. The variety of land cover and land use patterns captured make the dataset an ideal play-ground for testing the transfer of methods and research approaches at multiple spatial scales. Version HIstory: This version of the Berlin-Urban-Gradient-Dataset was updated to account for errors in the spatial referencing. This included six updated header files (.hdr) and two updated shapte files. See details in the new version and the associated data report.
The Environmental Mapping and Analysis Program (EnMAP) is a German hyperspectral satellite mission that aims at monitoring and characterizing the Earth’s environment on a global scale. EnMAP serves to measure and model key dynamic processes of the Earth’s ecosystems by extracting geochemical, biochemical and biophysical parameters, which provide information on the status and evolution of various terrestrial and aquatic ecosystems. In the frame of the EnMAP preparatory phase, pre-flight campaigns including airborne and in-situ measurements in different environments and for several application fields are being conducted. The main purpose of these campaigns is to support the development of scientific applications for EnMAP. In addition, the acquired data are input in the EnMAP end-to-end simulation tool (EeteS) and are employed to test data pre-processing and calibration-validation methods. The campaign data are made freely available to the scientific community under a Creative Commons Attribution-ShareAlike 4.0 International License. An overview of all available data is provided in in the EnMAP Flight Campaigns Metadata Portal http://www.enmap.org/?q=flights.
# 10
Cornford, Stephen • Asay-Davis, Xylar
Abstract: This data set includes four sets of ice-shelf topography data for use in the ISOMIP+ experiments described in Sec. 3 of Asay-Davis et al. (2015), to which this data set is supplementary material. The data set contains four NetCDF files, each of which includes six spatially two-dimensional fields: the ice upper surface, ice draft (ice sheet lower surface), bed topography, the fraction of open ocean, the fraction of floating ice and the fraction of grounded ice.
Methods: The topographic data was produced using subversion revision number r2825 of the BISICLES ice-sheet model (https://commons.lbl.gov/display/bisicles/BISICLES) configured to use the shallow shelf approximation (SSA, a commonly used approximation of the Stokes equation appropriate for ice shelves and fast flowing ice streams). The simulation used to produce the topography was the Ice1r followed by the Ice1ra experiment, as described in Sec. 2.2 of Asay-Davis et al. (2015). The bedrock topography for the experiment is described by an analytic function in Sec. 2.1 of Asay-Davis et al. (2015). In these experiments, BISICLES was first run to steady state without basal melting, then was allowed to retreat for 100 years forced by a basal melt parameterization (Ice1r) and finally was allowed to re-advance for 100 years with the melt parameterization turned off (Ice1ra). BISICLES makes use of adaptive mesh refinement (AMR) to focus resolution in fast flowing regions and near grounding lines. In the simulations, resolution was allowed to vary from 4 km to 1 km, and the topographic snapshots have been interpolated to simple rectangular mesh with a constant resolution of 1 km.
List of datasets included in this data publication: Ocean1_input_geom_v1.01.nc: Topography data from the beginning of the Ice1r experiment, the topographic boundary conditions for the Ocean0 and Ocean1 experiments. Ocean2_input_geom_v1.01.nc: Topography data from the end of the Ice1r experiment (year 100), the topographic boundary conditions for the Ocean2 experiment. Ocean3_input_geom_v1.01.nc: 101 yearly snapshots of the topography data from the Ice1r experiment (years 0 to 100), the topographic boundary conditions for the Ocean3 experiment. Ocean4_input_geom_v1.01.nc: 101 yearly snapshots of the topography data from the Ice1ra experiment (years 100 to 200), the topographic boundary conditions for the Ocean4 experiment. inputs.spin: Configuration file for the initial BISICLES spinup to steady state without melting inputs.melt: Configuration files for the Ice1r and Ice1ra evolution shortshallow.py: Python script for computing the melt parameterization in the Ice1r and Ice1ra experiments. addMasksToBisicles.py: Python script use to compute the floating, grounded and open ocean fractions based on the topography data and the assumption of exact flotation of the ice shelf.
spinning wheel Loading next page