GNSS data of the global GFZ tracking network

DOI

Since the early 1990s, the GFZ has operated a global GNSS station network with currently about 70 stations for precise satellite clock & orbit determination, realization of the terrestrial reference frame, radio occultation measurements or studies on crust dynamics. A subset of these stations contributes also to the tracking networks of the International GNSS Service (IGS) and the EUREF Permanent GNSS Network (EPN). Other stations contribute to GFZ observatories (IPOC, DESERVE, TERENO), to the GPS Atmosphere Sounding Project (GASP), to WMO Global Climate Observing System Reference Upper-Air Network (GRUAN) or to other external cooperations.

We offer data of 51 GFZ GNSS stations under this DOI. Nearly all stations are equipped with Javad or Septentrio hardware. Depending on the location and hardware they provide data of GPS (L1 / L2 / L5), GLONASS (L1 / L2 / L3), Galileo (E1 / E5a / E5b / E6), BeiDou (B1 / B2 / B3), QZSS (L1 / L2 / L5 / L6), NAVIC (L5), and SBAS (L1 / L5).

The GNSS Station Nework Site (https://isdc.gfz-potsdam.de/gnss-station-network/) provides direct access to the 1s and 30s sampled RINEX data (near real-time, file based) and to real-time streams. Real-time streams are available for stations contributing to the IGS. Raw data GNSS binary raw observations are available upon request. All GFZ Stations follow the site guidelines of the International GNSS Service (https://kb.igs.org/hc/en-us/articles/202011433-Current-IGS-Site-Guidelines)

Station specific metadata can be found at our metadata portal SEMISYS. An overview of the list of stations with direct links to the station specific metadata in semisys is available via ftp://datapub.gfz-potsdam.de/download/10.5880.GFZ.1.1.2020.001/2020-001_Ramatschi-et-al_List-of-GFZ-GNSS-Stations-with-links-to-SEMISYS.pdf.

Our GNSS stations are equipped with antenna, receiver, data logger (PC), and communication. For nearly all stations binary GNSS receiver messages are streamed in real time via local internet / GSM / VSAT to the GFZ data center and collected there in 15 minute data files, as it is done on site. After comparing the data files collected at GFZ with the raw messages stored locally, non identical or missing files are send from the site using scp. Data files are then converted to the RINEX (http://acc.igs.org/misc/rinex304.pdf) format using vendor-provided software. Real-time streams are provided by converting the binary message stream into RTCM format using the Alberding EuroNET software.

Stations without real-time capabilities transfer binary files only. If no internet connection is available data will be stored locally and transmitted as soon as the connection is re-established.

Identifier
DOI https://doi.org/10.5880/GFZ.1.1.2020.001
Related Identifier IsDocumentedBy https://datapub.gfz-potsdam.de/download/10.5880.GFZ.1.1.2020.001/2020-001_Ramatschi-et-al_List-of-GFZ-GNSS-Stations-with-links-to-SEMISYS.pdf
Related Identifier IsDocumentedBy http://acc.igs.org/misc/rinex304.pdf
Related Identifier IsDocumentedBy https://files.igs.org/pub/resource/guidelines/Guidelines_for_Continuously_Operating_Reference_Stations_in_the_IGS_v1.0.pdf
Related Identifier References https://www.alberding.eu/de/GNSSStatus_overview.html
Related Identifier References https://doi.org/10.1007/978-3-319-42928-1
Related Identifier References https://doi.org/10.1007/978-3-319-42928-1_33
Related Identifier References https://doi.org/10.1007/1345_2015_120
Related Identifier HasMetadata http://semisys.gfz-potsdam.de/semisys/index.php
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:6821
Provenance
Creator Ramatschi, Markus; Bradke, Markus ORCID logo; Nischan, Thomas ORCID logo; Männel, Benjamin ORCID logo
Publisher GFZ Data Services
Contributor GFZ German Research Centre for Geosciences; Ramatschi, Markus
Publication Year 2019
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Ramatschi, Markus (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Version 1
Discipline Geosciences
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N); global