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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Main Authors: Kyriakos Balidakis, Roman Sulzbach, Linus Shihora, Christoph Dahle, Robert Dill, Henryk Dobslaw
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-11-01
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.
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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
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AT linusshihora atmosphericcontributionstoglobaloceantidesforsatellitegravimetry
AT christophdahle atmosphericcontributionstoglobaloceantidesforsatellitegravimetry
AT robertdill atmosphericcontributionstoglobaloceantidesforsatellitegravimetry
AT henrykdobslaw atmosphericcontributionstoglobaloceantidesforsatellitegravimetry