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

Metehan Uz, Orhan Akyılmaz*, C. K. Shum, Kazım Gökhan Atman, Sevda Olgun, Özge Güneş

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Özet

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.

Orijinal dilİngilizce
Makale numarası71
DergiScientific data
Hacim11
Basın numarası1
DOI'lar
Yayın durumuYayınlandı - Ara 2024

Bibliyografik not

Publisher Copyright:
© 2024, The Author(s).

Finansman

This work is partially supported by Scientific and Technological Research Council of Turkey - TÜBİTAK (Contract number 119Y176), by the United States Agency for International Development (USAID)/Indian Partnerships Program (Cooperative Agreement: 72038621CA00002), by National Geospatial-Intelligence Agency (NGA) GEO-ESCON Program (No. HM157522D0009, Task 8.8), by NSF Partnerships for Innovation Program (2044704) and by NASA Earth Surface Interior Focused Area Program (80NSSC20K0494). Dr. Anno Löcher from University of Bonn is gratefully acknowledged for providing monthly gravity field solutions from SLR data. Special thanks to the editors and the two anonymous reviewers who significantly improved the quality of the manuscript with constructive comments. This work is partially supported by Scientific and Technological Research Council of Turkey - TÜBİTAK (Contract number 119Y176), by the United States Agency for International Development (USAID)/Indian Partnerships Program (Cooperative Agreement: 72038621CA00002), by National Geospatial-Intelligence Agency (NGA) GEO-ESCON Program (No. HM157522D0009, Task 8.8), by NSF Partnerships for Innovation Program (2044704) and by NASA Earth Surface Interior Focused Area Program (80NSSC20K0494). Dr. Anno Löcher from University of Bonn is gratefully acknowledged for providing monthly gravity field solutions from SLR data. Special thanks to the editors and the two anonymous reviewers who significantly improved the quality of the manuscript with constructive comments.

FinansörlerFinansör numarası
NASA Earth Surface Interior Focused Area Program80NSSC20K0494
National Science Foundation2044704
United States Agency for International Development72038621CA00002
National Geospatial-Intelligence AgencyHM157522D0009
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu119Y176
Rheinische Friedrich-Wilhelms-Universität Bonn

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