Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Roman Sulzbach
  • Hartmut Wziontek
  • Michael Hart-davis
  • Henryk Dobslaw
  • Hans-georg Scherneck
  • Michel Van Camp
  • Ove Christian Dahl Omang
  • Ezequiel D. Antokoletz
  • Christian Voigt
  • Denise Dettmering
  • Maik Thomas

External Research Organisations

  • Freie Universität Berlin (FU Berlin)
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences (GFZ)
  • Federal Agency for Cartography and Geodesy (BKG)
  • Technical University of Munich (TUM)
  • Chalmers University of Technology
  • Royal Observatory of Belgium (ROB)
  • Statens Kartverk (Norwegian Mapping Authority)
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Details

Original languageEnglish
Article number35
JournalJournal of geodesy
Volume96
Issue number5
Publication statusPublished - 30 Apr 2022
Externally publishedYes

Abstract

We employ the barotropic, data-unconstrained ocean tide model TiME to derive an atlas for degree-3 tidal constituents including monthly to terdiurnal tidal species. The model is optimized with respect to the tide gauge data set TICON-td that is extended to include the respective tidal constituents of diurnal and higher frequencies. The tide gauge validation shows a root-mean-square (RMS) deviation of 0.9–1.3 mm for the individual species. We further model the load tide-induced gravimetric signals by two means (1) a global load Love number approach and (2) evaluating Greens-integrals at 16 selected locations of superconducting gravimeters. The RMS deviation between the amplitudes derived using both methods is below 0.5nGal (1nGal =0.01nms2) when excluding near-coastal gravimeters. Utilizing ETERNA-x, a recently upgraded and reworked tidal analysis software, we additionally derive degree-3 gravimetric tidal constituents for these stations, based on a hypothesis-free wave grouping approach. We demonstrate that this analysis is feasible, yielding amplitude predictions of only a few 10 nGal, and that it agrees with the modeled constituents on a level of 63–80% of the mean signal amplitude. Larger deviations are only found for lowest amplitude signals, near-coastal stations, or shorter and noisier data sets.

Keywords

    Degree-3 tides, Superconducting gravimetry, Tidal analysis, Tidal modeling, Tide gauge data

ASJC Scopus subject areas

Cite this

Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. / Sulzbach, Roman; Wziontek, Hartmut; Hart-davis, Michael et al.
In: Journal of geodesy, Vol. 96, No. 5, 35, 30.04.2022.

Research output: Contribution to journalArticleResearchpeer review

Sulzbach, R, Wziontek, H, Hart-davis, M, Dobslaw, H, Scherneck, H, Van Camp, M, Omang, OCD, Antokoletz, ED, Voigt, C, Dettmering, D & Thomas, M 2022, 'Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records', Journal of geodesy, vol. 96, no. 5, 35. https://doi.org/10.1007/s00190-022-01609-w
Sulzbach, R., Wziontek, H., Hart-davis, M., Dobslaw, H., Scherneck, H., Van Camp, M., Omang, O. C. D., Antokoletz, E. D., Voigt, C., Dettmering, D., & Thomas, M. (2022). Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. Journal of geodesy, 96(5), Article 35. https://doi.org/10.1007/s00190-022-01609-w
Sulzbach R, Wziontek H, Hart-davis M, Dobslaw H, Scherneck H, Van Camp M et al. Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. Journal of geodesy. 2022 Apr 30;96(5):35. doi: 10.1007/s00190-022-01609-w
Sulzbach, Roman ; Wziontek, Hartmut ; Hart-davis, Michael et al. / Modeling gravimetric signatures of third-degree ocean tides and their detection in superconducting gravimeter records. In: Journal of geodesy. 2022 ; Vol. 96, No. 5.
Download
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abstract = "We employ the barotropic, data-unconstrained ocean tide model TiME to derive an atlas for degree-3 tidal constituents including monthly to terdiurnal tidal species. The model is optimized with respect to the tide gauge data set TICON-td that is extended to include the respective tidal constituents of diurnal and higher frequencies. The tide gauge validation shows a root-mean-square (RMS) deviation of 0.9–1.3 mm for the individual species. We further model the load tide-induced gravimetric signals by two means (1) a global load Love number approach and (2) evaluating Greens-integrals at 16 selected locations of superconducting gravimeters. The RMS deviation between the amplitudes derived using both methods is below 0.5nGal (1nGal =0.01nms2) when excluding near-coastal gravimeters. Utilizing ETERNA-x, a recently upgraded and reworked tidal analysis software, we additionally derive degree-3 gravimetric tidal constituents for these stations, based on a hypothesis-free wave grouping approach. We demonstrate that this analysis is feasible, yielding amplitude predictions of only a few 10 nGal, and that it agrees with the modeled constituents on a level of 63–80% of the mean signal amplitude. Larger deviations are only found for lowest amplitude signals, near-coastal stations, or shorter and noisier data sets.",
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AU - Sulzbach, Roman

AU - Wziontek, Hartmut

AU - Hart-davis, Michael

AU - Dobslaw, Henryk

AU - Scherneck, Hans-georg

AU - Van Camp, Michel

AU - Omang, Ove Christian Dahl

AU - Antokoletz, Ezequiel D.

AU - Voigt, Christian

AU - Dettmering, Denise

AU - Thomas, Maik

N1 - Funding information: We thank an anonymous reviewer and the editor Michael Schindelegger for thoroughly reviewing the article and helpful suggestions. Special thanks go to Richard Ray who did not only provide a constructive review of this article but also valuable and comprehensive advice for understanding the phase conventions of the tide. We extend our gratitude to the hosts of the data services of IGETS. R.S., M.H.-D., D.D. and M.T. acknowledge funding by TIDUS project within the NEROGRAV research unit (DFG Research Unit 2736, Grants: TH864/15-1, DE2174/12-1). H.D. has been supported by Deutsche Forschungsgemeinschaft within the Collaborative Research Centre TerraQ (Project ID 434617780 - SFB 1464). This work used resources of the Deutsches Klimarechenzentrum (DKRZ) granted by its Scientific Steering Committee (WLA) under project ID 499 for the simulation of ocean tide solutions.

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