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

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autorschaft

  • 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

Externe Organisationen

  • Freie Universität Berlin (FU Berlin)
  • Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
  • Bundesamt für Kartographie und Geodäsie (BKG)
  • Technische Universität München (TUM)
  • Chalmers University of Technology
  • Observatoire royal de Belgique (ROB)
  • Statens Kartverk (Norwegian Mapping Authority)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer35
FachzeitschriftJournal of geodesy
Jahrgang96
Ausgabenummer5
PublikationsstatusVeröffentlicht - 30 Apr. 2022
Extern publiziertJa

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.

ASJC Scopus Sachgebiete

Zitieren

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, Jahrgang 96, Nr. 5, 35, 30.04.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-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, Jg. 96, Nr. 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), Artikel 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 ; Jahrgang 96, Nr. 5.
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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.",
keywords = "Degree-3 tides, Superconducting gravimetry, Tidal analysis, Tidal modeling, Tide gauge data",
author = "Roman Sulzbach and Hartmut Wziontek and Michael Hart-davis and Henryk Dobslaw and Hans-georg Scherneck and {Van Camp}, Michel and Omang, {Ove Christian Dahl} and Antokoletz, {Ezequiel D.} and Christian Voigt and Denise Dettmering and Maik Thomas",
note = "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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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.

PY - 2022/4/30

Y1 - 2022/4/30

N2 - 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.

AB - 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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KW - Superconducting gravimetry

KW - Tidal analysis

KW - Tidal modeling

KW - Tide gauge data

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