High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021

• Published in: Scientific Data
• Main Authors: Uz, Metehan, Akyılmaz, Orhan, Shum, C. K., Atman, Kazım Gökhan, Olgun, Sevda, Güneş, Özge
• Format: Text
• Language: English
• Published: Nature Publishing Group UK 2024
• Subjects: Data Descriptor; Ice Sheet
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10787793/; http://www.ncbi.nlm.nih.gov/pubmed/38218975; https://doi.org/10.1038/s41597-023-02887-5

Since April 2002, Gravity Recovery and Climate Experiment (GRACE) and GRACE-FO (FollowOn) satellite gravimetry missions have provided precious data for monitoring mass variations within the hydrosphere, cryosphere, and oceans with unprecedented accuracy and resolution. However, the long-term products of mass variations prior to GRACE-era may allow for a better understanding of spatio-temporal changes in climate-induced geophysical phenomena, e.g., terrestrial water cycle, ice sheet and glacier mass balance, sea level change and ocean bottom pressure (OBP). Here, climate-driven mass anomalies are simulated globally at 1.0° × 1.0° spatial and monthly temporal resolutions from January 1994 to January 2021 using an in-house developed hybrid Deep Learning architecture considering GRACE/-FO mascon and SLR-inferred gravimetry, ECMWF Reanalysis-5 data, and normalized time tag information as training datasets. Internally, we consider mathematical metrics such as RMSE, NSE and comparisons to previous studies, and externally, we compare our simulations to GRACE-independent datasets such as El-Nino and La-Nina indexes, Global Mean Sea Level, Earth Orientation Parameters-derived low-degree spherical harmonic coefficients, and in-situ OBP measurements for validation.