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GFZ GravIS RL06 Ice-Mass Change Products

GRACE/GRACE-FO Level-3 products based on GFZ RL06 Level-2B products (Dahle & Murböck, 2019) representing ice-mass changes for the Antarctic Ice Sheet (AIS) and the Greenland Ice Sheet (GIS). The ice-mass changes are provided both as basin average product and as gridded product. Basin-average ice-mass changes are obtained using the inversion procedure based on a forward modelling approach as described in Sasgen et al. (2013) for the AIS and Sasgen et al. (2012) for the GIS. Gridded ice-mass changes are provided at polar-stereographic grids with a grid spacing of 50 x 50 km^2. The applied algorithm is based on tailored sensitivity kernels (Döhne et al., 2023; Groh & Horwath, 2021), and has also been used to generate gravimetric mass balance products within the ESA Climate Change Initiative (CCI) projects for the AIS and the GIS. These Level-3 products are visualized at GFZ's web portal GravIS (https://gravis.gfz.de). --------------------------------------------------------------------------------------------- Version History: 13 March 2026: Release of Version 0005. This is an update of Version 0004 of the same data set (see changelog). 16 January 2025: Release of Version 0004. This is an update of Version 0003 of the same data set (see changelog). 21 April 2023: Release of Version 0003. This is an update of Version 0002 of the same data set (see changelog). 09 June 2020: Release of Version 0002. This is an update of Version 0001 of the same data set (see changelog). All changes and updates are documented in the changelog available via the data download section. Previously released versions of this data set are available in the "old_versions" subfolder of the data download folder.

HUST-Grace2026s: unconstrained GRACE and GRACE Follow-On static gravity field solution

The new unconstrained static gravity field HUST-Grace2026s 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 the time span from 2002-04 to 2025-03. In addition, a hybrid processing chain is applied to improve the quality of final solutions. Further details are presented in Zhou et al. (2024) and Zheng et al. (2026).

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