Other language confidence: 0.9120802276217448
GRACE/GRACE-FO-derived time series of gridded terrestrial water storage anomalies with respect to the mean over the period 2003-01 - 2022-12. The product is based on monthly COST-G RL02 GRACE/GRACE-FO Level-2B Products (Meyer et al., 2025, https://doi.org/10.5880/COST-G.ICGEM_02_L2) provided at 0.5° latitude-longitude grids as defined over all continental regions. The TWS anomaly grids are provided in NetCDF format, containing three different variables: 1) 'twsa': gravity-based terrestrial water storage anomaly 2) 'std_twsa': gravity-based terrestrial water storage anomaly standard deviations 3) 'flag_filter': Flag indicating the filter strength File History: The Copernicus Climate Change Service (C3S) groups its datasets into Climate Data Records (CDRs), representing major version releases, and Intermediate Climate Data Records (ICDRs), which only extend the existing data and do not involve any processing changes. 12 September 2025: CDR: C3S_TWSA_GLOBAL_MONTHLY_200204_202503_v1.0.nc Data set covering April 2002 to March 2025 5 January 2026: ICDR: C3S_TWSA_GLOBAL_MONTHLY_200204_202509_v1.0.nc Data set covering April 2002 to September 2025
The dataset provides a set of 8 land ocean masks as NetCDF files based on the maps provided by the datasets ESA CCI Water Bodies - v4.0, Ocean-Map-150m-P13Y-2000-v4.0. The masks come as regular lon/lat grids in 0.1°, 0.25°, 0.5° and 1° spatial resolution, each as a version with and without Greenland and the antarctic regions (anything south of 60° S). The data fields of the individual datasets comprise of a) a field with information on the fraction of land in a grid cell, defined by the number of 150m cells of the source dataset lying within a target grid cell, b) a field with a flag (1 or 0) if a a grid cell contains more than 50% land area or not, and c) a field with a flag (1 or 0) if a grid cell contains any land at all. The dataset was generated in the course of the project "Global Gravity-based Groundwater Product (G3P)" to facilitate data production on a regular grid and to mask out oceans. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353.
GRACE/GRACE-FO Level-3 product based on COST-G RL02 Level-2B products (Dahle & Murböck, 2025) representing Terrestrial Water Storage (TWS) anomalies provided at 1° latitude-longitude grids as defined over all continental regions except Greenland and Antarctica. The TWS anomaly grids are provided in NetCDF format containing four different variables: 1) 'tws': gravity-based TWS 2) 'std_tws': gravity-based TWS standard deviations 3) 'leakage': spatial leakage contained in 'tws' 4) 'model_atmosphere': background model atmospheric mass These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz.de). --------------------------------------------------------------------------------------------- Version History: 14 August 2025: Initial release of the data (Version 0001).
GRACE/GRACE-FO Level-3 product based on COST-G RL02 Level-2B products (Dahle & Murböck, 2025) representing Ocean Bottom Pressure (OBP) variations provided at 1° latitude-longitude grids as defined over ocean areas. The OBP grids are provided in NetCDF format containing seven different variables: 1) 'barslv': gravity-based barystatic sea-level pressure 2) 'std_barslv': gravity-based barystatic sea-level pressure standard deviations 3) 'resobp': gravity-based residual ocean circulation bottom pressure 4) 'std_resobp': gravity-based residual ocean circulation bottom pressure standard deviations 5) 'leakage': apparent gravity-based bottom pressure due to continental leakage contained in 'resobp' 6) 'model_ocean': background-model ocean circulation pressure 7) 'model_atmosphere': background-model atmospheric surface pressure These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz.de). --------------------------------------------------------------------------------------------- Version History: 14 August 2025: Initial release of the data (Version 0001).
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).
This dataset provides a comprehensive, high-resolution global record of monthly Terrestrial Water Storage Anomalies (TWSA) from April 2002 to December 2022. It was generated to address the spatial resolution limitations of raw satellite gravimetry observations from the GRACE and GRACE-FO missions, offering a product suitable for regional and basin-scale hydrological analysis. The dataset was simulated using a novel deep learning framework. This model spatially downscales the low-resolution (~300 km) JPL GRACE/GRACE-FO Mascon solutions (Watkins et al., 2015; Wiese et al., 2016; Landerer et al., 2020; Wiese et al., 2023) to a high resolution of 50 km (0.5-degree grid). The core of the methodology is a dynamic soft-constrained paradigm, where the model is simultaneously guided by the observational accuracy of GRACE/GRACE-FO data and the high-resolution spatial patterns from the WaterGAP Global Hydrology Model (Müller Schmied et al., 2023) and ERA5 reanalysis data (Hersbach et al., 2023). The influence of these constraints is dynamically weighted at each training step based on the evolving correlation between the model's prediction and the high-resolution inputs, ensuring an optimal simulation of observational integrity and high-resolution detail.
The data set provides surface water storage (SWS) and groundwater storage (GWS) data for the Northern East African Rift region. SWS is estimated from a combination of lake water levels observed with satellite altimetry and water surface area derived from the water occurrence maps. The truncated pyramid formula estimates water volume change from these two data sets. The volume change is then converted to surface water storage and uniformly distributed over the lake surface, leading to SWS. To match the spatial resolution of SWS with the spatial resolution of terrestrial water storage (TWS), the resulting maps are spatially Gaussian filtered, half-width 250km. TWS, as observed with the GRACE and GRACE-FO satellite mission, monitors the sum of changes in the water storage compartments SWS, GWS, snow and ice, and root-zone soil moisture (RZSM). Thus, to estimate GWS for this data set, the water storage compartments are subtracted from TWS. Here, we neglect snow and ice. The temporal coverage of the data is from April 2020 to May 2023.
The Global Gravity-based Groundwater Product (G3P) provides groundwater storage anomalies (GWSA) from a cross-cutting combination of GRACE/GRACE-FO-based terrestrial water storage (TWS) and storage compartments of the water cycle (WSCs) that are part of the Copernicus portfolio. The data set comprises gridded anomalies of groundwater, TWS, and the WSCs glacier, snow, soil moisture and surface water bodies plus layers containing uncertainty information for the individual data products. All WSCs are spatially filtered with a Gaussian filter to be compatible with TWS. Spatial coverage is global, except Greenland and Antarctica, with 0.5-degree resolution. Temporal coverage is from April 2002 to September 2023 with monthly temporal resolution. Gridded data sets are available as NetCDF files containing variables for the parameter value as anomaly in mm equivalent water height and the parameter’s uncertainty as mm equivalent water height. The latest version of the data is visualized at the GravIS portal: https://gravis.gfz-potsdam.de/gws. From GravIS, the data is also available as area averages for several large river basins and aquifers, as well as for climatically similar regions. G3P was funded by the EU Horizon 2020 programme in response to the call LC-SPACE-04-EO-2019-2020 “Copernicus evolution – Research activities in support of cross-cutting applications between Copernicus services” under grant agreement No. 870353. --------------------------------------------------------------------------------------------- Version History: 10 March 2023: Release of Version v1.11. That version is the initial release of the data (Güntner et al., 2023; https://doi.org/10.5880/G3P.2023.001) 26 June 2024: Release of Version v1.12. Temporal coverage has been extended until September 2023.
The new time series of GRACE and GRACE-FO monthly solution HUST-Grace2024 is recently developed at Huazhong University of Science and Technology. During retrieving our model, the reprocessed GRACE L1b RL03 data and GRACE-FO RL04 data are used, and the newly de-aliasing product AOD1B RL07 is applied. In addition, a hybrid processing chain is applied to improve the quality of final solutions. Further details are presented in Zhou et al. (2024). This work is supported by the National Natural Science Foundation of China (No. 42074018, 41931074, 42061134007).
Orbital products describe positions and velocities of satellites, be it the Global Navigation Satellite System (GNSS) satellites or Low Earth Orbiter (LEO) satellites. These orbital products can be divided into the fastest available ones, the Near Realtime Orbits (NRT), which are mostly available within 15 to 60 minutes delay, followed by Rapid Science Orbit (RSO) products with a latency of two days and finally the Precise Science Orbit (PSO) which, with a latency of up to a few weeks, are the most delayed. The absolute positional accuracy increases with the time delay. This dataset compiles the RSO products for various LEO missions and the appropriate GNSS constellation in sp3 format. The individual solutions for each satellite mission are published with individual DOI as part of this compilation. GNSS Constellation: • GNSS 24h (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/GNSS_G_v01 • GNSS 30h (v02): https://doi.org/10.5880/GFZ_ORBIT/RSO/GNSS_G_v02 • GNSS 30h (v03): https://doi.org/10.5880/GFZ_ORBIT/RSO/GNSS_G_v03 LEO Satellites: • CHAMP - CHAMP (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L06_G_v01 • GRACE - GRACE-A (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L09_G_v01 - GRACE-B (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L10_G_v01 • GRACE-FO - GRACE-FO-1 (v02): https://doi.org/10.5880/GFZ_ORBIT/RSO/L64_G_v02 - GRACE-FO-1 (v03): https://doi.org/10.5880/GFZ_ORBIT/RSO/L64_G_v03 - GRACE-FO-2 (v02): https://doi.org/10.5880/GFZ_ORBIT/RSO/L65_G_v02 - GRACE-FO-2 (v03): https://doi.org/10.5880/GFZ_ORBIT/RSO/L65_G_v03 • SAC-C - SAC-C (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L07_G_v01 • TanDEM-X/ TerraSAR-X - TanDEM-X (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L20_G_v01 - TanDEM-X (v02): https://doi.org/10.5880/GFZ_ORBIT/RSO/L20_G_v02 - TanDEM-X (v03): https://doi.org/10.5880/GFZ_ORBIT/RSO/L20_G_v03 - TerraSAR-X (v01): https://doi.org/10.5880/GFZ_ORBIT/RSO/L13_G_v01 - TerraSAR-X (v02): https://doi.org/10.5880/GFZ_ORBIT/RSO/L13_G_v02 - TerraSAR-X (v03): https://doi.org/10.5880/GFZ_ORBIT/RSO/L13_G_v03 Each solution is given in the Conventional Terrestrial Reference System (CTS). • The GNSS RSOs are 30-hour long arcs starting at 21:00 the day before the actual day and ending at 03:00 the day after. The accuracy of the GPS RSO sizes at the 3-cm level in terms of RMS values of residuals after Helmert transformation onto IGS combined orbit solutions (Version 1 GNSS RSOs are 24-hour long arcs starting at 00:00 and ending at 24:00 the actual day). • The LEO RSOs are generated based on these 30-hour GNSS RSOs in two pieces for the actual day with arc lengths of 14 hours and overlaps of 2 hours. One starting at 22:00 and ending at 12:00, one starting at 10:00 and ending at 24:00. The accuracy of the LEO RSOs is at the level of 1-2 cm in terms of SLR validation. The exact time covered by an arc is defined in the header of the files and indicated as well as in the filename. This dataset compiles RSO products for various LEO missions and the corresponding GNSS constellation in sp3 format in a revised processing version 2. The switch from previous version 1 to 2 was performed on 18-Feb-2019. Major changes from version 1 to 2 are the change from IERS 2003 to IERS 2010 conventions and ITRF 2008 to ITRF-2014, as well as the temporal extension of the GNSS constellation from previous 24 hours (version 1) to 30 hours (version 2) arcs. This temporal expansion eliminates the chaining of two consecutive 24-hour GNSS constellation solutions previously used to process day-overlapping LEO arcs in Version 1. The transition from Version 2 to Version 3 took place on 1 July 2023 for the RSO system and on 3 July 2024 for the NRT system. The fundamental update from Version 2 to 3 is the change from ITRF2014 to ITRF2020. This 24h GNSS constellation (Version 1) will continue to operate and be stored on the ISDC ftp server, as discussed in more detail in Section 8.1. All RSO LEO arcs will no longer be continued in version 1 after the changeover date and will only be available in version 2 since then.
| Organisation | Count |
|---|---|
| Wissenschaft | 38 |
| Type | Count |
|---|---|
| unbekannt | 38 |
| License | Count |
|---|---|
| Offen | 38 |
| Language | Count |
|---|---|
| Englisch | 38 |
| Resource type | Count |
|---|---|
| Keine | 38 |
| Topic | Count |
|---|---|
| Boden | 26 |
| Lebewesen und Lebensräume | 10 |
| Luft | 19 |
| Mensch und Umwelt | 37 |
| Wasser | 26 |
| Weitere | 38 |