Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry
Abstract To mitigate temporal aliasing effects in monthly mean global gravity fields from the GRACE and GRACE‐FO satellite tandem missions, both tidal and non‐tidal background models describing high‐frequency mass variability in atmosphere and oceans are needed. To quantify tides in the atmosphere,...
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Format: | Article |
Language: | English |
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American Geophysical Union (AGU)
2022-11-01
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Series: | Journal of Advances in Modeling Earth Systems |
Subjects: | |
Online Access: | https://doi.org/10.1029/2022MS003193 |
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author | Kyriakos Balidakis Roman Sulzbach Linus Shihora Christoph Dahle Robert Dill Henryk Dobslaw |
author_facet | Kyriakos Balidakis Roman Sulzbach Linus Shihora Christoph Dahle Robert Dill Henryk Dobslaw |
author_sort | Kyriakos Balidakis |
collection | DOAJ |
description | Abstract To mitigate temporal aliasing effects in monthly mean global gravity fields from the GRACE and GRACE‐FO satellite tandem missions, both tidal and non‐tidal background models describing high‐frequency mass variability in atmosphere and oceans are needed. To quantify tides in the atmosphere, we exploit the higher spatial (31 km) and temporal (1 hr) resolution provided by the latest atmospheric ECMWF reanalysis, ERA5. The oceanic response to atmospheric tides is subsequently modeled with the general ocean circulation model MPIOM (in a recently revised TP10L40 configuration that includes the feedback of self‐attraction and loading to the momentum equations and has an improved bathymetry around Antarctica) as well as the shallow water model TiME (employing a much higher spatial resolution and more elaborate tidal dissipation than MPIOM). Both ocean models consider jointly the effects of atmospheric pressure variations and surface wind stress. We present the characteristics of 16 waves beating at frequencies in the 1–6 cpd band and find that TiME typically outperforms the corresponding results from MPIOM and also FES2014b as measured from comparisons with tide gauge data. Moreover, we note improvements in GRACE‐FO laser ranging interferometer range‐acceleration pre‐fit residuals when employing the ocean tide solutions from TiME, in particular, for the S1 spectral line with most notable improvements around Australia, India, and the northern part of South America. |
first_indexed | 2024-04-24T21:37:24Z |
format | Article |
id | doaj.art-68f95199977643eaa9603e694812e93d |
institution | Directory Open Access Journal |
issn | 1942-2466 |
language | English |
last_indexed | 2024-04-24T21:37:24Z |
publishDate | 2022-11-01 |
publisher | American Geophysical Union (AGU) |
record_format | Article |
series | Journal of Advances in Modeling Earth Systems |
spelling | doaj.art-68f95199977643eaa9603e694812e93d2024-03-21T18:32:29ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662022-11-011411n/an/a10.1029/2022MS003193Atmospheric Contributions to Global Ocean Tides for Satellite GravimetryKyriakos Balidakis0Roman Sulzbach1Linus Shihora2Christoph Dahle3Robert Dill4Henryk Dobslaw5Department 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyDepartment 1: Geodesy GFZ German Research Centre for Geosciences Potsdam GermanyAbstract To mitigate temporal aliasing effects in monthly mean global gravity fields from the GRACE and GRACE‐FO satellite tandem missions, both tidal and non‐tidal background models describing high‐frequency mass variability in atmosphere and oceans are needed. To quantify tides in the atmosphere, we exploit the higher spatial (31 km) and temporal (1 hr) resolution provided by the latest atmospheric ECMWF reanalysis, ERA5. The oceanic response to atmospheric tides is subsequently modeled with the general ocean circulation model MPIOM (in a recently revised TP10L40 configuration that includes the feedback of self‐attraction and loading to the momentum equations and has an improved bathymetry around Antarctica) as well as the shallow water model TiME (employing a much higher spatial resolution and more elaborate tidal dissipation than MPIOM). Both ocean models consider jointly the effects of atmospheric pressure variations and surface wind stress. We present the characteristics of 16 waves beating at frequencies in the 1–6 cpd band and find that TiME typically outperforms the corresponding results from MPIOM and also FES2014b as measured from comparisons with tide gauge data. Moreover, we note improvements in GRACE‐FO laser ranging interferometer range‐acceleration pre‐fit residuals when employing the ocean tide solutions from TiME, in particular, for the S1 spectral line with most notable improvements around Australia, India, and the northern part of South America.https://doi.org/10.1029/2022MS003193atmospheric tidesocean tidesde‐aliasingGRACE‐FOERA5atmospheric forcing |
spellingShingle | Kyriakos Balidakis Roman Sulzbach Linus Shihora Christoph Dahle Robert Dill Henryk Dobslaw Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry Journal of Advances in Modeling Earth Systems atmospheric tides ocean tides de‐aliasing GRACE‐FO ERA5 atmospheric forcing |
title | Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry |
title_full | Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry |
title_fullStr | Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry |
title_full_unstemmed | Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry |
title_short | Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry |
title_sort | atmospheric contributions to global ocean tides for satellite gravimetry |
topic | atmospheric tides ocean tides de‐aliasing GRACE‐FO ERA5 atmospheric forcing |
url | https://doi.org/10.1029/2022MS003193 |
work_keys_str_mv | AT kyriakosbalidakis atmosphericcontributionstoglobaloceantidesforsatellitegravimetry AT romansulzbach atmosphericcontributionstoglobaloceantidesforsatellitegravimetry AT linusshihora atmosphericcontributionstoglobaloceantidesforsatellitegravimetry AT christophdahle atmosphericcontributionstoglobaloceantidesforsatellitegravimetry AT robertdill atmosphericcontributionstoglobaloceantidesforsatellitegravimetry AT henrykdobslaw atmosphericcontributionstoglobaloceantidesforsatellitegravimetry |