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Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry

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/persons/resource/balidak

Balidakis,  K.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/sulzbach

Sulzbach,  Roman
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/linus

Shihora,  Linus
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dahle

Dahle,  C.
1.2 Global Geomonitoring and Gravity Field, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dill

Dill,  R.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/dobslaw

Dobslaw,  H.
1.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

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5014133.pdf
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Zitation

Balidakis, K., Sulzbach, R., Shihora, L., Dahle, C., Dill, R., Dobslaw, H. (2022): Atmospheric Contributions to Global Ocean Tides for Satellite Gravimetry. - Journal of Advances in Modeling Earth Systems, 14, 11, e2022MS003193.
https://doi.org/10.1029/2022MS003193


Zitierlink: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5014133
Zusammenfassung
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.