Das BfG-GNSS-Messnetzes besteht aus über 50 GNSS-Stationen im Bereich der Nord- und Ostsee. Primärer Zweck ist die Georeferenzierung von Pegeln der Wasserstraßen- und Schifffahrtsverwaltung (WSV). Die Rohdaten umfassen die kontinuierlichen Beobachtungsdaten der Satellitensysteme GPS, Glonass, Galileo und Beidou. Der Höhenunterschied 'dH1' zwischen dem jeweiligen Referenzpunkt der GNSS-Antenne und den zugehörigen Pegelfestpunkten (PFP) kann dem Sitelog der Permanentstation entnommen werden. Der Sollhöhenunterschied 'dH2' zwischen den Pegelfestpunkten und dem Pegelnullpunkt (PNP) wird durch das zuständige Wasserstraßen- und Schifffahrtsamt geführt.
Die Geodatensuche Berlin ist die zentrale Anwendung der Geodateninfrastruktur Berlin in der Metadaten zu den Geodaten und Geodiensten des Landes Berlin gesucht, gefunden und verarbeitet werden können. Die Geodatensuche basiert auf der Software GeoNetwork in der Version 3.12.1.
The collocation method was used to compute water vapor fields for the Upper Rhine Graben (URG) region from GNSS zenith total delays (ZTDs) and InSAR double difference slant delays (ddSTDs). Furthermore, mean temperature from ERA data was used for the conversion of GNSS ZTDs into IWV. The input data are hourly GNSS tropospheric parameters from the GURN (GNSS Upper Rhine Graben network) network for 4 different seasons in the period 2016-2018, as well as ddSTDs for 168 InSAR acquisition epochs of the Sentinel 1A+B satellites. In total, our dataset includes 2D fields of integrated water vapor (IWV) and zenith total delays (ZTDs) as well as 3D 'tomographic' products in form of refractivity fields. For 4 specific seasonal periods, also hourly water vapor density fields are provided by exploiting the relations between IWV and water vapor density in the collocation scheme. The tropospheric fields are provided for the horizontal WRF grid of data assimilation subset of this joint data collection, whereas the 3D fields are computed up to 8 km height for 16 equally distributed layers.
Convection-permitting simulations with the Weather Research and Forecasting Modeling System (WRF) were carried out in order to provide improved water vapor fields for the Upper Rhine Valley in the border region of Germany, Switzerland and France. Hourly ERA5 reanalysis data served as input for three different simulations with (1) open loop, (2) assimilation of GNSS ZTD, InSAR ZTD and synoptic station data and (3) assimilation of tomography ZTD fields. The three-dimensional variation data assimilation (3D-VAR) configuration with hourly resolution was used. The simulations were performed for four events, one in each season (April 11-22, 2016, July 13-23, 2018, October 16-31, 2018, January 6-21, 2017). Surface pressure, temperature (2m) and integrated water vapor are provided in 2D as well as pressure, temperature and water vapor density for each of the 72 vertical levels (3D).
The provided dataset consists of double differential slant delays and absolute zenith wet delays in the region of the Upper Rhine Graben. Basis is the SLC data from Sentinel 1A+B satellites provided by the Copernicus program. 169 scenes were processed which had been acquired between April 2015 and July 2019, including data of four specific study events (11 – 22 Apr 2016, 13 – 24 Jul 2018, 16 – 31 Oct 2018, 06 – 21 Jan 2017). Interferometric processing was performed using the software SNAP, continued by a Persistent Scatterer Interferometric SAR (PS-InSAR) processing, using the program StaMPS. The first product are double differential slant delays which represent the phase delay in radiant in the satellites line of sight between the master acquisition (17 Mar 2012) and each acquisition-date respectively. Further processing uses ERA5 zenith wet delay (ZWD) and mean temperature to infer absolute zenith wet delays. A mean value is subtracted for each scene, resulting in an absolute value correction. In addition, long wavelength components are corrected by fitting the trend over the scene for each date to a 2D polynomial approximation from the ERA5 data, as those parts cannot reliably be estimated solely from the SAR data. The final product for every scene is the integrated water vapor (IWV) in kg/m² for each acquisition date at the distributed PS-points – on average about 50 points per square kilometer.
The ground-based global navigation satellite system (GNSS) technic was employed to retrieve the integrated water vapor (IWV) at 66 stations of the GNSS Upper Rhine Graben network (GURN). The GNSS IWV dataset is synchronous with the associated InSAR dataset, with 219 days available during the period March 2015 – July 2019. GNSS zenith total delay (ZTD) estimates are calculated every one hour and then converted to IWV with additional meteorological parameters from ERA5. The GNSS IWV of all the stations are saved in daily files in the second version of the Solution (Software/Technique) Independent Exchange (SINEX) format for TROpospheric parameters. GNSS station information is given in the file headers. In addition, the associated meteorological parameters from ERA5 are also provided, such as station pressure and weighted mean temperature.
Der Echtzeit Positionierungs-Service SAPOS-EPS dient der satellitengestützten Positionsbestimmung mit einer Genauigkeit von 0,3 bis 0,8 Meter. Der Dienst stellt Korrekturen und Änderungsraten für die Code-Beobachtungen von GPS- und GLONASS-Satelliten im Format RTCM 2.3 (Radio Technical Commission for Maritime Services) zur Verfügung. Die Übertragung erfolgt durch Datenstreaming via Internet (Ntrip).
Der Geodätische Postprocessing Positionierungs-Service SAPOS-GPPS dient der nachträglichen, satellitengestützten Positionsbestimmung mit einer Genauigkeit von 1 cm und besser. Der Dienst stellt wahlweise RINEX2-Daten mit GPS- und GLONASS-Beobachtungen oder RINEX3-Daten mit GPS-, GLONASS-, Galileo- und BeiDou-Daten zur Verfügung. Die Datenabgabe erfolgt via Download vom Webserver. RINEX = Receiver Independent Exchange Format
The TectoVision GNSS network in Greece was set up using European Research Council funding in partnership between German and Greek institutions. The project aims to deepen our understanding of suspected microplate motions in Greece. A total of 72 GNSS stations are planned for the TectoVision network. Two types of GNSS station equipment is used, reflected by the 4 character station ID. Stations with ID beginning with 'TT' were installed using the tinyBlack receiver. The stations with ID beginning 'TM' were set up using the Minimum Cost GNSS System (MCGS) design. RINEX (v3.05 as of May 2024) data at 30 seconds sampling interval are provided. Most of the data are sent over mobile internet via routers that are connected to the receivers via LAN cable. If required, the RINEX files can be converted to other versions using the GFZ software GFZRNX (Nischan, 2016). Raw observation data can be made available upon specific request. Hardware: The GFZ developed tinyBlack receiver combines cost efficient L2C GNSS receivers (here Swiftnav Piksi) with PC-based data logger package, internal storage, and interfaces. The control software is designed for remote operation ensuring long-term continuous tracking. The tinyBlack receivers provided by the GFZ spin-off maRam UG (Germany) are installed in combination with Harxon GPS500 survey antennas. The tinyBlack stations provide GPS (L1/L2), GLONASS (G1/G2), and Galileo (E1/E5b) data. The low-cost MCGS stations are coming in 2 versions from a GNSS technology transfer project at GFZ. Both versions operate a ublox F9P receiver and an integrated chip-antenna with a pyramidal antenna radome. One version provides GPS (L1/L2), Glonass (G1/G2), Galileo (E1/E5b) and also Beidou (B1/B2) data. The other version (currently only 3 systems installed) is designed for low power operation in remote areas with data telemetry over a narrrow bandwidth radio link. This version delivers only GPS (L1/L2) data without doppler observations at a reduced data rate of 60 seconds. Monumentation: There is a variety of monumentation for these stations, with the design of the monumentation being low-cost. Most are connected to a thread that is attached to a stainless steel pin which is glued into masonry or bedrock. Most sites are installed on rooftops of public buildings. The MCGS is sometimes clamped to an existing sturdy pole connected to the roof of the building. Some stations are connected to an extending stainless-steel arm that we have drilled into the side of a building. Photos of the station are provided with the standard GNSS station log-files (as metadata). If the instrumentation at existing monuments is later changed to other hardware types, the station ID retain the original TT and TM 4-character IDs. Metadata: Station-specific metadata records are stored in IGS sitelog files available via ftp.
Different observation and modeling techniques were used to derive integrated water vapor (IWV) fields for the Upper Rhine Graben in the border region of Germany, Switzerland, and France. The dataset features 1) point-scale IWV and zenith total delay (ZTD) derived for 66 stations of the global navigation satellite system (GNSS) Upper Rhine Graben network (GURN), 2) area-distributed IWV and differential slant path delays from space-borne Interferometric synthetic aperture radar (InSAR) observations, 3) IWV, ZTD, refractivity (3D), and water vapor density (3D) from tomography, obtained by collocation of GNSS and InSAR products, and 4) IWV, precipitation and water vapor density (3D) simulated with the Weather Research and Forecasting Modeling system (WRF) with free run (open-loop) and three-dimensional variational data-assimilation (3D-VAR) configuration. All data products cover 4 seasonal epochs (11 – 22 Apr 2016, 13 – 24 Jul 2018, 16 – 31 Oct 2018, 06 – 21 Jan 2017). GNSS, InSAR, and tomography data are additionally available for the period Jan 2015 – Jun 2019.
| Organisation | Count |
|---|---|
| Bund | 9 |
| Land | 6 |
| Wissenschaft | 17 |
| Type | Count |
|---|---|
| Daten und Messstellen | 6 |
| Förderprogramm | 5 |
| unbekannt | 18 |
| License | Count |
|---|---|
| Offen | 21 |
| Unbekannt | 8 |
| Language | Count |
|---|---|
| Deutsch | 12 |
| Englisch | 18 |
| Resource type | Count |
|---|---|
| Archiv | 1 |
| Datei | 5 |
| Dokument | 1 |
| Keine | 14 |
| Webseite | 9 |
| Topic | Count |
|---|---|
| Boden | 18 |
| Lebewesen und Lebensräume | 18 |
| Luft | 15 |
| Mensch und Umwelt | 29 |
| Wasser | 6 |
| Weitere | 29 |