High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021
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 product...
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ftkocaeliuniv:2b861baf-a3dd-4517-923f-c873f9e93097 2024-09-30T14:36:39+00:00 High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 GÜNEŞ, Özge Atman, Kazim Gokhan OLGUN, SEVDA Shum, C. K. Akyılmaz, Orhan Uz, Metehan 2024-01-01T00:00:00Z https://doi.org/10.1038/s41597-023-02887-5 https://avesis.kocaeli.edu.tr/publication/details/2b861baf-a3dd-4517-923f-c873f9e93097/oai eng eng 2b861baf-a3dd-4517-923f-c873f9e93097 doi:10.1038/s41597-023-02887-5 https://avesis.kocaeli.edu.tr/publication/details/2b861baf-a3dd-4517-923f-c873f9e93097/oai info:eu-repo/semantics/openAccess info:eu-repo/semantics/article 2024 ftkocaeliuniv https://doi.org/10.1038/s41597-023-02887-5 2024-09-10T04:34:13Z 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 degrees x 1.0 degrees 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. Article in Journal/Newspaper Ice Sheet Kocaeli University Research Information System Scientific Data 11 1 |
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Kocaeli University Research Information System |
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English |
description |
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 degrees x 1.0 degrees 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. |
format |
Article in Journal/Newspaper |
author |
GÜNEŞ, Özge Atman, Kazim Gokhan OLGUN, SEVDA Shum, C. K. Akyılmaz, Orhan Uz, Metehan |
spellingShingle |
GÜNEŞ, Özge Atman, Kazim Gokhan OLGUN, SEVDA Shum, C. K. Akyılmaz, Orhan Uz, Metehan High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
author_facet |
GÜNEŞ, Özge Atman, Kazim Gokhan OLGUN, SEVDA Shum, C. K. Akyılmaz, Orhan Uz, Metehan |
author_sort |
GÜNEŞ, Özge |
title |
High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
title_short |
High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
title_full |
High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
title_fullStr |
High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
title_full_unstemmed |
High-resolution temporal gravity field data products: Monthly mass grids and spherical harmonics from 1994 to 2021 |
title_sort |
high-resolution temporal gravity field data products: monthly mass grids and spherical harmonics from 1994 to 2021 |
publishDate |
2024 |
url |
https://doi.org/10.1038/s41597-023-02887-5 https://avesis.kocaeli.edu.tr/publication/details/2b861baf-a3dd-4517-923f-c873f9e93097/oai |
genre |
Ice Sheet |
genre_facet |
Ice Sheet |
op_relation |
2b861baf-a3dd-4517-923f-c873f9e93097 doi:10.1038/s41597-023-02887-5 https://avesis.kocaeli.edu.tr/publication/details/2b861baf-a3dd-4517-923f-c873f9e93097/oai |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1038/s41597-023-02887-5 |
container_title |
Scientific Data |
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11 |
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1 |
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1811639677929652224 |