142 documents found in 270ms
# 131
Beyerle, Georg
Abstract: This data publication comprises (1) a one-year data set of ground-based GPS raw signal observations (inphase and quadphase C/A code correlation sums, NCO phases, pseudoranges) aiming at geometric elevation angles below +2°, (2) the "OpenGPS" receiver software and (3) MATLAB source code to access the raw data files. (1) ground-based GPS raw signal observations: Within the "GLESER" measurement campaign 2581 validated setting events were recorded by the "OpenGPS" open-loop tracking receiver at an observation site located at 52.3808°N, 13.0642°E (Potsdam, Germany) between January and December 2014. The instrument provided on average 8.3 observations per day with three data gaps (29 January to 1 February, 29–31 August and 18–22 December 2014) caused by hardware or software problems, operator errors or other technical reasons. Between 15 July and 6 September the "OpenGPS" receiver malfunctioned due to an operator error and 437 observations from that time period are removed from the data set leaving 2581 low-elevation events.Raw data files are stored in compressed tar archives each covering one week of observations. For more information see document "readme-gleser-dataset.pdf". (2) "OpenGPS" receiver software: The compressed tar archive "gleser-OpenGPS-src.tar.gz" includes (C code) sources of the OpenGPS receiver hardware. The receiver software is designed for "OpenSourceGPS"-compatible hardware (Kelley, 2002) and Linux operating system. During the 2014 campaign kernel version 2.6.32 (OpenSUSE version 11.3) with real-time extension module RTAI (RealTime Application Interface for Linux) version 3.8.1 was used. For more information see the document "readme-gleser-OpenGPS.pdf". (3) MATLAB source code: The compressed tar archive "gleser-readdata-src.tar.gz" contains a MATLAB function file that may be used to access the raw data files. For more information see the document "readme-gleser-readdata.pdf".
# 132
Lauterbach, Stefan • Chapron, Emmanuel • Brauer, Achim • Hüls, Matthias • Gilli, Adrian • (et. al.)
# 135
Deng, Zhiguo • Fritsche, Mathias • Nischan, Thomas • Bradke, Markus
Abstract: The German Research Center for Geosciences (GFZ) is providing ultra rapid multi-GNSS orbit-, clock- and EOP-product series (EOP = Earth Orientation Parameters). The Orbit/Clock product covers the following Global Navaigation Satellite Systems (GNSS)- GAL (Galileo) / Europe- GPS (GPS) / USA- GLO (Glonass) / Russian Federation- BDS (Beidou) / PR China- QZS (QZSS) / Japan All products are estimated using the latest version of GFZ's automated EPOS-8 GNSS processing environment and using global hourly RINEX observation data of the International GNSS Service (IGS). The orbit/clock product is provided:- in the SP3-c data format,- every 3 hours with a nominal latency of 2 hours after the last observation,- with a 48 hour sliding window orbit duration (1) the first 24 hours are estimated based on real GNSS RINEX observation data, (2) the second 24 hours consist of an orbit/clock prediction,- the orbit positions epoch interval is of 15 minutes. The EOP product is provided:- in the IGS ERP data format,- every 3 hours with a nominal latency of 2 hours after last observation,- with one estimated 24 hour EOP record based on real GNSS RINEX observation data,- with one predicted 24 hour EOP record. For recent (latest) products used for routine applications a registration via mgnss@gfz-potsdam.de is needed to get special access. Products with an age older than 2 days are available without restrictions. For the used data formats see Kouba and Mierault (2010, https://igscb.jpl.nasa.gov/igscb/data/format/erp.txt) for the description of the EOP Product Series and Hilla (2010, https://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) for the description of the Orbit-/ Clock format SP3-c). The time series are provided in weekly folders, beginning with 27 May 2015 (GPS Week 1846).
# 136
Thomas Nischan
Abstract: GFZRNX is a software toolbox for Global Navigation Satellite System (GNSS) data provided in the REceiver Independent EXchange format (RINEX) of the major versions 2 and 3. The following RINEX data types are supported: - Observation data - Navigation data - Meteorological data The following global and regional satellite systems are supported:GPS - Global Positioning System (USA) GLONASS - GLObal NAvigation Satellite System (RUS)BEIDOU - Chinese Global and Regional Navigation Satellite System (CHN)GALILEO - European Global Navigation Satellite SystemIRNSS - Indian Regional Naviagation Satellite System (IND)QZSS - Quasi Zenith Satellite System (JAP) The following operations/tasks are supported: - RINEX data check and repair - RINEX data format conversion ( version 3 to 2 and vice versa ) - RINEX data splice - RINEX data split - RINEX data statistics generation - RINEX data manipulations like: (1) data sampling, (2) observation types selection, (3) satellite systems selection, (4) elimination of overall empty or sparse observation types - Automatic version dependent file naming on output data - RINEX data header editing - RINEX data meta data extraction - RINEX data comparison The following operating systems are supported: - Microsoft Windows (64) - Microsoft Windows (32) - Apple macOS - ORACLE Solaris (SPARC) - ORACLE Solaris (i86) - Linux (64) - Linux (32) Please find the executables and the Documentation via: http://semisys.gfz-potsdam.de/semisys/scripts/download/index.php (GFZ Software -> gfzrnx)
# 137
Nothnagel, Axel • International VLBI Service for Geodesy and Astrometry (IVS) • Alef, Walter • Amagai, Jun • Andersen, Per Helge • (et. al.)
Abstract: Very Long Baseline Interferometry (VLBI) is a primary space-geodetic technique for determining precise coordinates on the Earth, for monitoring the variable Earth rotation and orientation with highest precision, and for deriving many other parameters of the Earth system. The International VLBI Service for Geodesy and Astrometry (IVS, http://ivscc.gsfc.nasa.gov/) is a service of the International Association of Geodesy (IAG) and the International Astronomical Union (IAU). The datasets published here are the results of individual Very Long Baseline Interferometry (VLBI) sessions in the form of normal equations in SINEX 2.0 format (http://www.iers.org/IERS/EN/Organization/AnalysisCoordinator/SinexFormat/sinex.html, the SINEX 2.0 description is attached as pdf) provided by IVS as the input for the next release of the International Terrestrial Reference System (ITRF): ITRF2014. This is a new version of the ITRF2008 release (Böckmann et al., 2009). For each session/ file, the normal equation systems contain elements for the coordinate components of all stations having participated in the respective session as well as for the Earth orientation parameters (x-pole, y-pole, UT1 and its time derivatives plus offset to the IAU2006 precession-nutation components dX, dY (https://www.iau.org/static/resolutions/IAU2006_Resol1.pdf). The terrestrial part is free of datum. The data sets are the result of a weighted combination of the input of several IVS Analysis Centers. The IVS contribution for ITRF2014 is described in Bachmann et al (2015), Schuh and Behrend (2012) provide a general overview on the VLBI method, details on the internal data handling can be found at Behrend (2013).
# 138
Heinloo, Andres
Abstract: Abstract data objects are frequently transferred between a central computer (server) and one or more other computers (clients). The httpmsgbus (HMB) facilitates the transfer of these objects, functioning as a messaging service which runs over HTTP. These may be SeisComP data model items, or any other content.Messages sent by one client can be received by multiple clients connected to the same bus, using JSON and BSON formats for communication. Clients may limit what objects they wish to receive as part of the connection process.A bus may have multiple queues. Order of messages within a queue is preserved. A queue may have multiple topics; topic name is simply an attribute of a message. A receiving client subscribes to one or more queues and tells which topics it is interested in. Each message within a queue has a sequence number, so it is possible to resume connection without data loss, provided that the needed messages are still in the queue. A client can also select messages based on start- and end-time, and filter messages using a subset of MongoDB query language.HMB supports out-of-order messages by letting a sending client specify the sequence number when sending messages. Messages are received in order; a receiving client may ignore out-of-order messages or wait for missing messages until a timeout. httpmsgbus can be used as a standalone program or as an add-on to SeisComP3 [1]; the code can be copied to SC3 source tree and compiled together with the rest of the SC3 using CMake or installed separately using the install.sh script. Go compiler [2] is required to compile the code; other requirements include Libpcre (pcre-devel, libpcre3-dev or similar Linux package), and Mongo DB for persistent storage.Source code is freely available for download; its use is governed by the GNU General Public License, version 3.[1] http://www.seiscomp3.org/ [2] https://golang.org/dl/
# 139
Bianchi, Marcelo • Evans, Peter L. • Heinloo, Andres • Quinteros, Javier
Abstract: WebDC3 is a web interface working on top of SeisComP3 standard seismological services (http://geofon.gfz-potsdam.de/software/webdc3/). It is AJAX-based and allows users to conveniently discover seismic stations and explore events in seismic catalogues, build and submit requests for data and metadata and finally download the results in different formats. Requests can be built using either absolute time windows or by station-event combinations suitable for different data processing pipelines. Furthermore, data requests and downloading of their results can be made in separated steps, allowing for larger requests and better supporting users with low bandwidth or unstable connections. WebDC3 functions in the style of a previous webdc service implemented at GFZ. The new web interface runs as a Python web application using the Web Server Gateway Interface (WSGI). It has been adopted by a number of seismic agencies. Source code is freely available for download; its use is governed by the "GNU General Public License, Version 3, 29 June 2007"
# 140
Deutsches GeoForschungsZentrum GFZ
Abstract: Mit der Hochwasserschadensdatenbank HOWAS 21 wurde von Wissenschaftlern des Deutschen GeoForschungsZentrums GFZ eine fundierte Datengrundlage zur Erforschung von Hochwasserschäden geschaffen. Diese Daten dienen zum besseren Verständnis der Entstehung von Hochwasserschäden und zur Beurteilung der Wirksamkeit von Vorsorgemaßnahmen. Die Abschätzung ökonomischer Schäden ist eine wichtige Komponente bei Entscheidungen über Hochwasserschutzmaßnahmen auf der Basis von Kosten-Nutzen-Analysen. Im Vergleich zu anderen Bereichen der Hydrologie und Wasserwirtschaft gibt es allerdings nur wenige Daten über Hochwasserschäden in Deutschland. Daher bauten die Wissenschaftler des Potsdamer Helmholtz-Zentrums GFZ die Datenbank HOWAS 21 im Rahmen des BMBF-geförderten Programms "Risikomanagement extremer Hochwasserereignisse" (RIMAX) auf Basis wissenschaftlicher Ergebnisse auf. Neben den aufgetretenen monetären Schäden z.B. an Gebäuden, Hausrat oder Betriebseinrichtung und auf Flächen sind in HOWAS 21 auch Daten zur Ereigniseinwirkung am Objekt, zum geschädigten Objekt selbst und zur Schadensminderung festgehalten. Jeder Schadensfall wird außerdem einem übergeordneten Hochwasserereignis und einer Erhebungskampagne (Metadaten) zugeordnet. Die Attribute in HOWAS 21 basieren auf Katalogen, die durch eine mehrstufige Experten-Befragung für jeden Sektor festgelegt wurden.
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