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  Estimating ocean tide model uncertainties for electromagnetic inversion studies

Saynisch, J., Irrgang, C., Thomas, M. (2018): Estimating ocean tide model uncertainties for electromagnetic inversion studies. - Annales Geophysicae, 36, 1009-1014.
https://doi.org/10.5194/angeo-36-1009-2018

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Saynisch, J.1, Author              
Irrgang, C.1, Author              
Thomas, M.1, Author              
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11.3 Earth System Modelling, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146027              

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 Abstract: Over a decade ago the semidiurnal lunar M2 ocean tide was identified in CHAMP satellite magnetometer data. Since then and especially since the launch of the satellite mission Swarm, electromagnetic tidal observations from satellites are increasingly used to infer electric properties of the upper mantle. In most of these inversions, ocean tidal models are used to generate oceanic tidal electromagnetic signals via electromagnetic induction. The modeled signals are subsequently compared to the satellite observations. During the inversion, since the tidal models are considered error free, discrepancies between forward models and observations are projected only onto the induction part of the modeling, e.g., Earth's conductivity distribution. Our study analyzes uncertainties in oceanic tidal models from an electromagnetic point of view. Velocities from hydrodynamic and assimilative tidal models are converted into tidal electromagnetic signals and compared. Respective uncertainties are estimated. The studies main goal is to provide errors for electromagnetic inversion studies. At satellite height, the differences between the hydrodynamic tidal models are found to reach up to 2nT, i.e., over 100% of the local M2 signal. Assimilative tidal models show smaller differences of up to 0.1nT, which in some locations still corresponds to over 30% of the M2 signal.

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 Dates: 2018
 Publication Status: Finally published
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Title: Annales Geophysicae
Source Genre: Journal, SCI, Scopus, oa, Scopus bis 2022
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Pages: - Volume / Issue: 36 Sequence Number: - Start / End Page: 1009 - 1014 Identifier: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals25