These data-derived products are the International GNSS Service (IGS) Analysis Centers' (AC) contribution to the International Terrestrial Reference Frame (ITRF) 2020.

The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.

This data set represents the GNSS satellite attitude part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains satellite attitude quaternions of GPS, GLONASS, and Galileo satellites for the time period from 1994 to 2020. Next to GPS, which spans the full period, GLONASS satellite attitude is available starting from 2009 and Galileo attitude from 2013. Attitude quaternions are given at a 30-second sampling period.

TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.

The following background models and corrections were used during the processing:

• Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
• Earth's gravity field: GOCO06s plus C20 replacement from SLR
• Moon, Sun and planet ephemerides: JPL DE421
• Solid Earth tide: IERS 2010
• Ocean tide: FES2014b
• Pole tide: IERS 2010 (linear mean pole)
• Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
• Atmospheric tides: AOD1B RL06
• Relativistic corrections: IERS 2010
• Tropospheric corrections: VMF3
• Solar radiation pressure: Box-wing + ECOM2
• Earth radiation pressure: Box-wing
• Antenna thrust: Steigenberger et al. (2017)

These data-derived products are the International GNSS Service (IGS) Analysis Centers' (AC) contribution to the International Terrestrial Reference Frame (ITRF) 2020.

GFZ acts as a global analysis center of the International GNSS Service (IGS) and provides operationally ultra-rapid (last 24h), rapid (last day), and final (last week) solutions and contributes to the reprocessing activities of the IGS. The GFZ repro3 product solution series covers data from 1994 to 2020 and is published in daily and weekly files. The following satellite systems are contained: GPS (from 1994), GLONASS (from 2012), and Galileo (from 2014).

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.

This is a 5-min Integrated Water Vapor (IWV) product from 12,552 ground-based GPS stations worldwide in 2020. It contains 1,093,591,492 IWV estimates in total. The dataset is an enhanced version of the existing operational GPS IWV dataset from Nevada Geodetic Laboratory. The enhancement is reached by using accurate meteorological information from ERA5 for the GPS IWV retrieval with a significantly higher spatiotemporal resolution. The dataset is recommended for high-accuracy applications.

DESCRIPTION Geodetic Institute, Karlsruhe Institute of Technology, Germany OUTPUT 5-min enhanced GPS Integrated Water Vapour product CONTACT Peng Yuan, pyuan@gfz-potsdam.de; Geoffrey Blewitt, gblewitt@unr.edu INPUT NGL: GPS ZTD; ERA5 pressure level product: pressure and Tm

NGL: Nevada Geodetic Laboratory, University of Nevada, http://geodesy.unr.edu ERA5: the fifth generation ECMWF reanalysis, https://www.ecmwf.int Authors: Peng Yuan, Geoffrey Blewitt, Corné Kreemer, William C. Hammond, Donald Argus, Xungang Yin, Roeland Van Malderen, Michael Mayer, Weiping Jiang, Joseph Awange, Hansjoerg Kutterer

Detailed descriptions and quality evaluations of the dataset have been published in Earth System Science Data (see below).

If you would like to use the dataset, please cite the dataset and the associated paper as follows:

[1] Yuan, P., Blewitt, G., Kreemer, C., Hammond, W. C., Argus, D., Yin, X., Van Malderen, R., Mayer, M., Jiang, W., Awange, J., and Kutterer, H.: An enhanced integrated water vapour dataset from more than 10 000 global ground-based GPS stations in 2020, Earth System Science Data, 15, 723–743, https://doi.org/10.5194/essd-15-723-2023, 2023.

[2] Yuan, Peng, Blewitt, Geoffrey, Kreemer, Corné, Hammond, William C., Argus, Donald, Yin, Xungang, Van Malderen, Roeland, Mayer, Michael, Jiang, Weiping, Awange, Joseph, & Kutterer, Hansjörg. (2022). An enhanced integrated water vapour dataset from more than 10,000 global ground-based GPS stations in 2020 [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6973528

File: NGL2020_12552_blgph.txtDescription: coordinates of the 12552 GPS stations worldwideFormat: column #1: Site name column #2: Latitude (degree) column #3: Longitude (degree) column #4: Geopotential altitude (geopotential meter)

ZIP files: data saved according to the first letter of the station namesDescription: enhanced GPS IWV data product at 12552 stations worldwideStructure: saved as each day for each station, and then all the daily files of each station were saved as respective ZIP file which named as "site"_2020.trop.zipFormat: IGS TROP format

Long-term tide gauge records provide valuable insights to sea level variations, but interpretation requires an accurate determination of the associated vertical land motion. Within the Tide Gauge Benchmark Monitoring Working Group of the International GNSS Service, we performed a dedicated reprocessing (1994-2020) for GNSS stations co-located with tide gauges. Based on 341 stations the GFZ contribution to the third TIGA reprocessing provides vertical land motion rates for 230 stations at or close to recently active tide gauges. We limited the processing to GPS observations.

The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.

This data set represents the GNSS satellite and station clock error part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains clock errors of GPS, GLONASS, and Galileo satellites as well as ground-based stations for the time period from 1994 to 2020. Next to GPS, which spans the full period, GLONASS satellite clock errors are available starting from 2009 and Galileo clocks from 2013. Station clock errors are only provided for a subset of stations connected to Hydrogen masers or timing laboratories. Clock errors are given at a 30-second sampling period.

TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.

The following background models and corrections were used during the processing:

• Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
• Earth's gravity field: GOCO06s plus C20 replacement from SLR
• Moon, Sun and planet ephemerides: JPL DE421
• Solid Earth tide: IERS 2010
• Ocean tide: FES2014b
• Pole tide: IERS 2010 (linear mean pole)
• Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
• Atmospheric tides: AOD1B RL06
• Relativistic corrections: IERS 2010
• Tropospheric corrections: VMF3
• Solar radiation pressure: Box-wing + ECOM2
• Earth radiation pressure: Box-wing
• Antenna thrust: Steigenberger et al. (2017)

This dataset includes 1-hour GNSS coordinate product processed by GFZ. The observations are from the two GNSS station installed by BKG on the small offshore island of Heligoland in the North Sea. These products are hourly position time series (North, East and Vertical). The 30-second daily RINEX files since 2020 are downloaded from BKG. Together with 5 IGS stations in Europe, the collected RINEX data are processed with the Earth Parameter and Orbit System (EPOS) software from GFZ. The EPOS software uses un-difference carrier phase and pseudo-range observables from GPS and GLONASS L1 and L2 frequencies. They formed an ionosphere-free linear combination to remove the first-order ionosphere effect in the observation. The phase center variation (PCV/PCO) of the satellite and ground station antenna are corrected by IGb14. The station deformation caused by ocean tide loading is modeled by the FES2004 model. Apriori zenith hydro-static/non-hydro-static delay is obtained using the Global Pressure and Temperature model (GPT2) and Vienna mapping functions (VMF) in a 6-hour grid file database. To ensure consistency in the GNSS data analysis, we took the GNSS precise satellite orbits as well as clock products from the 2nd reprocessed (before 2014) and routine (since 2015) yield by EPOS software. The same station parameters are set up as used for the GNSS orbit and clock estimation. All the GNSS data were processed in units of 24 hours periods. The estimated parameters are (i) the receiver clock error for every epoch as white noise, (ii) the hourly station coordinates, (iii) daily tropospheric gradients, (iv) the daily inter-system clock bias for GLONASS, and (v) 2-hour tropospheric wet zenith delays with random-walk constrain.

When using this data please cite Seitz, M., Bloßfeld, M., Angermann, D., Glomsda, M., Rudenko, S., Zeitlhöfler, J., & Seitz, F. (2023). DTRF2020 (Version v2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8369167

A reference paper describing the DTRF2020 in detail is in progress. More information on the DTRF2020 and to individual stations are given at the webpage https://dtrf.dgfi.tum.de/en/dtrf2020/

SummaryThe DTRF2020 is an independent realization of the International Terrestrial Reference System, ITRS (Petit and Luzum, 2010), by DGFI-TUM. It was computed in 2021/2022 and is based on input data provided by the IAG Scientific Services of the four geodetic space techniques VLBI, SLR, GNSS and DORIS (IVS, ILRS, IGS, IDS). The observation time spans cover 27 to 41 years until the end of 2020.DTRF2020 is characterized by the following innovations.

Innovations since the previous ITRS realization, DTRF2014 (Seitz et al., 2022):

Six more years of observation data.

New stations, satellites and technically improved stations.

The technique-specific input data series are calculated according to the latest general and technique-specific models.

GNSS provides for the first time an independent scale realization, made possible by the disclosure of the Galileo satellite calibrations.

For DTRF2020 the scale is realized for the first time from VLBI and GNSS observations.

DTRF2020 considers for the first time all three components of non-tidal loading: the atmospheric, the hydrological and the oceanic part, consistently derived by the Global Geophysical Fluid Center, GGFC. The data cover the full observation time span of the space-geodetic techniques (1979 - 2021.0).

For the first time, post-seismic deformation (PSD) of stations affected by earthquakes are modelled and considered in the DTRF computation.

An interactive map providing information on the individual stations is available at https://dtrf.dgfi.tum.de/en/dtrf2020/interactive-map/.

Updates

Version v2: 2023-09-22 (see also IERS Message No. 489)

non-tidal loading (NTL) time series referring to CM and CF and the files listing the offsets and trends by which the time series are reduced.

post-seismic deformation (PSD) time series for GILCREEK/VLBI

DTRF2020 solution description

Data Format Description

SINEX files of DTRF2020 per technique with full variance-covariance matrix (note: there is a list of GNSS stations without DOMES numbers)

DTRF2020_{technique}.snx.gz

EOP file of DTRF2020 in IERS 20 C04 format

DTRF2020_EOP.20C04_format.txt

NTL corrections in [x,y,z] and [North,East,up] applied in DTRF2020 as time series per station. The time series refer to the center of mass of the Earth (CM). In addition, we provide NTL series referring to the center of figure (CF) of the Earth in the same format. Both types of series are provided from the respective start of the observation period of a technique until 2021.0. The NTL series are reduced by offset and drift obtained for the valid observation time span of the individual station. The offsets and drifts are also provided (see below).

NTL_{CM|CF}_{technique}_{xyz|neu}.tar

Mean offsets and drifts removed from individual NTL correction time series before applying them in DTRF2020 (for atmospheric, hydrological and oceanic effect and the sum) in [x,y,z] and [North,East,up]. The values are provided for the applied CM-referred series and for the CF-referred series (see above).

NTL_{CM|CF}_{technique}_reduced_offsets_and_drifts.tar

PSD corrections as time series in [x,y,z] applied in DTRF2020 for stations affected by a significant post-seismic deformation. For solution numbers whose observation period extents beyond the end of the DTRF2020 period, long time series are provided up to epoch 2031-01-01.

PSD_{technique}.tar

Station position residual time series in [North, East, up] resulting from 7-parameter similarity transformations of technique-specific solution series with respect to DTRF2020. Important note: The solution series for the individual techniques are based on the NEQs that are used for the DTRF2020 calculation, i.e., on NEQs reduced by the NTL displacements.

Station_Residual_Time_Series_{technique}.tar

SLR translation time series with respect to DTRF2020

SLR_translation_wrt_DTRF2020.txt

China EQI: MoM: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data was reported at 109.800 Average 12 Mths PY=100 in Mar 2025. This records an increase from the previous number of 54.700 Average 12 Mths PY=100 for Feb 2025. China EQI: MoM: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data is updated monthly, averaging 110.424 Average 12 Mths PY=100 from Jan 2018 (Median) to Mar 2025, with 86 observations. The data reached an all-time high of 521.500 Average 12 Mths PY=100 in Mar 2020 and a record low of 54.700 Average 12 Mths PY=100 in Feb 2025. China EQI: MoM: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: MoM: HS4 Classification.

The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.

This data set represents the Earth rotation parameter part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains polar motion, polar motion rate, and length-of-day (LOD) estimates for the time period from 1994 to 2020. Next to GPS, which spans the full period, GLONASS adds to the estimates starting from 2009 and Galileo from 2013. Earth rotation parameters are given at a daily sampling period.

TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.

The following background models and corrections were used during the processing:

• Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
• Earth's gravity field: GOCO06s plus C20 replacement from SLR
• Moon, Sun and planet ephemerides: JPL DE421
• Solid Earth tide: IERS 2010
• Ocean tide: FES2014b
• Pole tide: IERS 2010 (linear mean pole)
• Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
• Atmospheric tides: AOD1B RL06
• Relativistic corrections: IERS 2010
• Tropospheric corrections: VMF3
• Solar radiation pressure: Box-wing + ECOM2
• Earth radiation pressure: Box-wing
• Antenna thrust: Steigenberger et al. (2017)

The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.

This data set represents the solution and normal equation part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains estimates for station coordinates, Earth rotation parameters, and antenna phase center offsets for the time period from 1994 to 2020. The full unconstrained normal equations as well as applied constraints are included, which provides covariance and correlation information for all parameters. Next to GPS, which spans the full period, GLONASS was introduced into the solutions starting from 2009 and Galileo from 2013. Solutions and normal equations are given at a daily sampling period.

TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.

The following background models and corrections were used during the processing:

• Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
• Earth's gravity field: GOCO06s plus C20 replacement from SLR
• Moon, Sun and planet ephemerides: JPL DE421
• Solid Earth tide: IERS 2010
• Ocean tide: FES2014b
• Pole tide: IERS 2010 (linear mean pole)
• Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
• Atmospheric tides: AOD1B RL06
• Relativistic corrections: IERS 2010
• Tropospheric corrections: VMF3
• Solar radiation pressure: Box-wing + ECOM2
• Earth radiation pressure: Box-wing
• Antenna thrust: Steigenberger et al. (2017)

The third reprocessing campaign (repro3) of the International GNSS Service (IGS) aims to to provide a time series of consistently reprocessed GNSS products covering the time period 1994-2020. The products are based on updated background models and processing methods. One of the main goals is to support the determination of the next International Terrestrial Reference Frame (ITRF2020) by providing daily coordinates for a global network of GNSS ground stations.

This data set represents the GNSS satellite and station signal bias part of the overall contribution of Graz University of Technology (TUG) to IGS repro3. It contains estimated code and phase biases of GPS, GLONASS, and Galileo satellites as well as ground-based stations for the time period from 1994 to 2020. Next to GPS, which spans the full period, GLONASS satellite signal biases are available starting from 2009 and Galileo biases from 2013. Signal biases are given at a daily sampling period.

TUG's contribution to repro3 was computed using the open-source software GROOPS. The processing included all available stations from the proposed repro3 station list (1212 stations), reaching more than 800 stations per day in the mid-2010s. All available code and phase observations on all frequencies (except Galileo E6) have been used at the full 30-second sampling period.

The following background models and corrections were used during the processing:

• Earth rotation: IERS 2010 plus high-frequency EOP model (Desai and Sibios, 2016)
• Earth's gravity field: GOCO06s plus C20 replacement from SLR
• Moon, Sun and planet ephemerides: JPL DE421
• Solid Earth tide: IERS 2010
• Ocean tide: FES2014b
• Pole tide: IERS 2010 (linear mean pole)
• Ocean pole tide: Desai (2004) (IERS 2010, linear mean pole)
• Atmospheric tides: AOD1B RL06
• Relativistic corrections: IERS 2010
• Tropospheric corrections: VMF3
• Solar radiation pressure: Box-wing + ECOM2
• Earth radiation pressure: Box-wing
• Antenna thrust: Steigenberger et al. (2017)

China EQI: YoY: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data was reported at 117.900 Prev Year=100 in Mar 2025. This records an increase from the previous number of 72.300 Prev Year=100 for Feb 2025. China EQI: YoY: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data is updated monthly, averaging 106.995 Prev Year=100 from Jan 2018 (Median) to Mar 2025, with 86 observations. The data reached an all-time high of 720.500 Prev Year=100 in Feb 2021 and a record low of 66.100 Prev Year=100 in May 2020. China EQI: YoY: HS4: Igs, False Beards, Eyebrows and Eyelashes, Switches and the Like, of Human or Animal Hair or of Textile Materials; Articles of Human Hair not Elsewhere Specified or Included. data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JE: Quantum Index: YoY: HS4 Classification.

Rock cuttings for IGS sample site W13458 from drilled hole, completed: 1962-07-15, total depth: 2020 ft.

El dataset contiene las guías actualizadas de SIRGAS, según los últimos estándares IGS asociados a la actualización de ITRF 2014 a ITRF 2020 (IGS20). Los documentos que componen el dataset son : - GUÍA01 COORDINACIÓN DE LA RED SIRGAS - GUÍA02 INSTALACIÓN, OPERACIÓN E INSCRIPCIÓN DE ESTACIONES SIRGAS-CON - GUÍA03 DIRECTRICES DE PROCESAMIENTO PARA LOS CENTROS DE PROCESAMIENTO SIRGAS-CON