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Post-processed GRACE/GRACE-FO spherical harmonic coefficients of COST-G RL02 Level-2 GSM products representing an estimate of Earth's gravity field variations during the specified timespan. Post-processing steps comprise: (1) subtraction of a long-term mean field; (2) optionally, decorrelation and smoothing with VDK filter (anisotropic filter taking the actual error covariance information of the underlying GSM coefficients into account, see Horvath et al. (2018)); (3) replacement of coefficients C20 and C30 (only for the months within the period from 2016/11 through 2017/06) and its formal standard deviations by values estimated from a combination of GRACE/GRACE-FO and Satellite Laser Ranging (SLR); (4) subtraction of linear trend caused by Glacial Isostatic Adjustment (GIA) as provided by a numerical model; (5) insertion of geocenter coefficients (C10, C11, S11); and (6) removal of estimated aliased signal of the S2 tide (161 days period). These coefficients represent signals caused by water mass redistribution over the continents and in the oceans. These post-processed GRACE/GRACE-FO GSM products are denoted as Level-2B products. There are multiple variants of Level-2B products available that differ by the characteristics of the anisotropic filter applied. These variants are distinguishable by the following strings in the product file names: - 'NFIL': Level-2B product is not filtered - 'VDK1': Level-2B product is filtered with VDK1 - 'VDK2': Level-2B product is filtered with VDK2 - 'VDK3': Level-2B product is filtered with VDK3 - 'VDK4': Level-2B product is filtered with VDK4 - 'VDK5': Level-2B product is filtered with VDK5 - 'VDK6': Level-2B product is filtered with VDK6 - 'VDK7': Level-2B product is filtered with VDK7 - 'VDK8': Level-2B product is filtered with VDK8 The individual auxiliary data sets and models used during the post-processing steps mentioned above are provided as well (in the aux_data folder): - 'GRAVIS-2B_COSTG_0200_2002095-2020091_NFIL_0001.gz': Long-term mean field calculated as unweighted average of the 183 available GFZ RL06 GSM products in the period from 2002/04 through 2020/03 - 'GRAVIS-2B_COSTG_0200_GRACE+SLR_LOW_DEGREES_0001.dat': Time series of coefficients C20, C30, C21 and S21 estimated from a combination of GRACE/GRACE-FO and SLR - 'GRAVIS-2B_COSTG_0200_GIA_ICE-6G_D_VM5a_0001.gz': Model from Peltier et al. (2018) for subtraction of linear trend caused by GIA - 'GRAVIS-2B_COSTG_0200_GEOCENTER_0001.dat': Time series with geocenter coefficients estimated from COST-G RL02.1 Further information about the Level-2B products and the auxiliary data is provided in the header of the corresponding data files. --------------------------------------------------------------------------------------------- Version History: 22 July 2025: Initial release of the data (Version 0001).
UNSAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNSA, an International Height Reference Frame (IHRF) station located in the Province of Salta, Argentina, covering latitudes 26.5°S to 24.5°S and longitudes 66°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 800. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 51 GNSS/leveling points yielded an estimated precision of 0.124 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
RIO2QG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding RIO2, an International Height Reference Frame (IHRF) station located in the Province of Tierra del Fuego, Argentina, covering latitudes 56°S to 51°S and longitudes 71°W to 64°W, with a 0.03° grid resolution. The model’s purpose is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 700. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 41 GNSS/leveling points yielded an estimated precision of 0.066 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
RIO2QG_FFT_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding RIO2, an International Height Reference Frame (IHRF) station located in the Province of Tierra del Fuego, Argentina, covering latitudes 56°S to 51°S and longitudes 71°W to 64°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 700. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the 1D-FFT technique incorporating the Wong-Gore modification to Stokes’ kernel. All computational steps were performed with the GRAVSOFT software package. Validation against 41 GNSS/leveling points yielded an estimated precision of 0.061 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
Operational GRACE Follow-On monthly gravity field solutions starting from June 2018 up to degree and order 96 computed with the Celestial Mechanics Approach at AIUB (release 02). The time series is a loose continuation of AIUB-RL02 GRACE monthly gravity field time series and is an update of the operational GRACE Follow-On monthly gravity field time series (https://doi.org/10.5880/ICGEM.2020.001) using Level-1B GRACE Follow-On data and operational accelerometer transplant data from TUG (Institute of Geodesy, TU Graz, Working Group Theoretical Geodesy and Satellite Geodesy) and updated modelling strategies concerning data screening and weighting. The time series is reprocessed starting with June 2018. The dataset is created within the framework of the G3P project (https://www.g3p.eu/), this project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 870353. The operational solution of release 02 provides a complete time series of GRACE Follow-on data derived monthly gravity field solutions, is regularly updated with new monthly solutions and features a consistent processing with an advanced noise modelling of GRACE Follow-On data. It is recommened for usage. It is strongly recommended to use release 02 and discontinue using release 01.
The International Geodynamics and Earth Tides Service (IGETS) was established in 2015 by the International Association of Geodesy IAG. IGETS continues the activities of the Global Geodynamics Project (GGP) between 1997 and 2015 to provide support to geodetic and geophysical research activities using superconducting gravimeter (SG) data within the context of an international network. As part of this network, the Eifel Gravimetric Observatory Germany (EIGOG) was established by the GFZ Helmholtz Centre for Geosciences in August 2025. Continuous time-varying gravity and atmospheric pressure data from the SG at EIGOG are integrated in the IGETS data base hosted by GFZ. The EIGOG observatory is located at the Buchholz Provostry (Propstei Buchholz) in the municipality of Burgbrohl. It is part of a multiparameter station for the monitoring and analysis of seismic and volcanic signals within the Central European Volcanic Province Observatory (CVO) in the Eifel region. Additional sensors at Buchholz are GNSS, InSAR corner reflector, seismometer, tiltmeter, groundwater level and a weather station. The operation and maintenance of the EIGOG instrumentation is done by staff of the GFZ. EIGOG is a high precision gravimetric observatory with the dual-sphere OSG D037 manufactured by GWR Instruments as core instrument, one of the two SGs operating at Sutherland, South Africa, until December 2024 (Förste et al., 2016, http://doi.org/10.5880/igets.su.l1.001). The time series of gravity and barometric pressure from the OSG D037 starts in August 2025. The SG is active and the time series is kept up to date regularly with a time delay of a few months. The time sampling of the raw gravity and barometric pressure data of IGETS Level 1 is 1 second and 1 minute. For a detailed description of the IGETS data base and the provided files see Voigt et al. (2016, http://doi.org/10.2312/GFZ.b103-16087).
This Python package is a collaborative effort by the gravity Metrology group at the German Federal Agency for Carthography and Geoesy (BKG) and the Hydrology section at GFZ Helmholtz Centre for Geosciences. It comprises functionalities and features around the respectively new instrument type of a Quantum Gravimeter (here AQG). New (standardized) instrument data format additional to new measurement and processing concepts lead to the first collection of scripts and now complete python package for a fully-featured analysis of AQG data. This encompasses live-monitoring while the instrument is actually measuring (with enhanced functionality than what is provided by the manufacturer), data processing, visualizations as well as archiving data, fulfilling the idea of reproducible data within FAIR principles. Many of these functionalities and concepts also apply to other gravimeter types. It is thus planned to include also access and processing of data for these other devices (starting in the near future with CG-6 relative gravimeters). This package is actively maintained and developed. If you are interested in contributing, please do not hesitate to contact us. Please find instructions for its installation and usage in the documentation or git repository, linked in the left panel. gravitools is listed in the python standard repository database "PyPi". Some highlight features, available in the first official stable release are: • Read and process raw data of the Exail Absolute Quantum Gravimeter (AQG) • Apply standardized or customized AQG data processing and outlier detection • Read and write processed datasets with metadata to .nc-files in NETCDF4-format • Handle Earth orientation parameters (EOP) from iers.org for polar motion correction • Visualize data with matplotlib • CLI for standard processing of AQG raw data to .nc-file • Dashboard for real-time processing and visualization during measurements (on AQG laptop) • Dashboard includes a proposed standard template for a measurement protocol • Standardized, easy-to-read and modify config files for processing options and reproducible data handling • Generation of PDF reports from individual measurements
OAFAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding OAFA and UNSJ, two International Height Reference Frame (IHRF) stations located in the Province of San Juan, Argentina, covering latitudes 34°S to 30°S and longitudes 70.5°W to 65.5°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 840. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 188 GNSS/leveling points yielded an estimated precision of 0.172 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
UNPAQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding UNPA, an International Height Reference Frame (IHRF) station located in the Province of Santa Cruz, Argentina, covering latitudes 54°S to 50°S and longitudes 72°W to 66°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at this station. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 740. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 81 GNSS/leveling points yielded an estimated precision of 0.094 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
AGGOQG_LSC_2025 is a local, high-precision, high-resolution, pure-gravimetric quasigeoid model developed for the area surrounding AGGO and LPGS, two International Height Reference Frame (IHRF) stations located in the Province of Buenos Aires, Argentina, covering latitudes 36°S to 31°S and longitudes 61°W to 55°W, with a 0.03° grid resolution. The purpose of the model is to determine the IHRF vertical coordinate at these stations. Its computation followed Molodensky’s formulation of the Geodetic Boundary Value Problem (GBVP) and employed the remove–compute–restore (RCR) strategy. Long-wavelength components were modeled using the XGM2019e Global Geopotential Model (GGM) up to degree and order 600. Topographic contributions were modeled via Residual Terrain Modeling (RTM) using the SRTM v4.1 Digital Elevation Model (DEM). Residual height anomalies were calculated with the Least-Squares Collocation (LSC) technique. All computational steps were performed with the GRAVSOFT software package. Validation against 111 GNSS/leveling points yielded an estimated precision of 0.063 m after applying a four-parameter fit. The geoid model is provided in ISG format 2.0 (ISG Format Specifications), while the file in its original data format is available at the model ISG webpage.
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