Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Autoren

  • Markus Hauk
  • Josefine Wilms
  • Roman Sulzbach
  • Natalia Panafidina
  • Michael Hart-Davis
  • Christoph Dahle
  • Vitali Müller
  • Michael Murböck
  • Frank Flechtner

Organisationseinheiten

Externe Organisationen

  • Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum (GFZ)
  • Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR)
  • Freie Universität Berlin (FU Berlin)
  • Technische Universität München (TUM)
  • Technische Universität Berlin
  • Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
  • Deutsches Geodätisches Forschungsinstitut (DGFI-TUM)
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummere2023EA003098
FachzeitschriftEarth and Space Science
Jahrgang10
Ausgabenummer10
PublikationsstatusVeröffentlicht - 12 Okt. 2023

Abstract

Monthly gravity field recovery using data from the GRACE and GRACE Follow-On missions includes errors limiting the spatial and temporal resolution of the estimated gravity fields. The major error contributions, besides the noise of the accelerometer instruments, arise from temporal aliasing errors due to imperfections in the non-tidal atmospheric and oceanic de-aliasing models and ocean tide models. We derive uncertainty information for the eight major tidal constituents from five different ocean tide models and introduce it into the gravity field recovery process in terms of a constrained normal equation system while expanding the parameter space by additional tidal parameters to be adjusted. We prove the effectiveness of the ocean tide variance-covariance information through realistic simulations and we assess its potential based on microwave and laser interferometer observations from the GRACE Follow-On mission. We show that errors are reduced by more than 20% ocean wRMS for a Gaussian filter radius of 300 km if uncertainty information for ocean tides is considered and stochastic modeling of instrument errors is applied, compared to the latest GFZ release 6.1. Our results also show the limited visibility of the effectiveness of the ocean tide variance-covariance information due to the dominating error contribution of non-tidal atmospheric and oceanic mass variations. Additionally, we investigate the option of estimating ocean tide parameters over a 1-year period while including ocean tide uncertainty information in order to improve ocean tide background modeling.

ASJC Scopus Sachgebiete

Zitieren

Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models. / Hauk, Markus; Wilms, Josefine; Sulzbach, Roman et al.
in: Earth and Space Science, Jahrgang 10, Nr. 10, e2023EA003098, 12.10.2023.

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review

Hauk, M, Wilms, J, Sulzbach, R, Panafidina, N, Hart-Davis, M, Dahle, C, Müller, V, Murböck, M & Flechtner, F 2023, 'Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models', Earth and Space Science, Jg. 10, Nr. 10, e2023EA003098. https://doi.org/10.1029/2023EA003098
Hauk, M., Wilms, J., Sulzbach, R., Panafidina, N., Hart-Davis, M., Dahle, C., Müller, V., Murböck, M., & Flechtner, F. (2023). Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models. Earth and Space Science, 10(10), Artikel e2023EA003098. https://doi.org/10.1029/2023EA003098
Hauk M, Wilms J, Sulzbach R, Panafidina N, Hart-Davis M, Dahle C et al. Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models. Earth and Space Science. 2023 Okt 12;10(10):e2023EA003098. doi: 10.1029/2023EA003098
Hauk, Markus ; Wilms, Josefine ; Sulzbach, Roman et al. / Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models. in: Earth and Space Science. 2023 ; Jahrgang 10, Nr. 10.
Download
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title = "Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models",
abstract = "Monthly gravity field recovery using data from the GRACE and GRACE Follow-On missions includes errors limiting the spatial and temporal resolution of the estimated gravity fields. The major error contributions, besides the noise of the accelerometer instruments, arise from temporal aliasing errors due to imperfections in the non-tidal atmospheric and oceanic de-aliasing models and ocean tide models. We derive uncertainty information for the eight major tidal constituents from five different ocean tide models and introduce it into the gravity field recovery process in terms of a constrained normal equation system while expanding the parameter space by additional tidal parameters to be adjusted. We prove the effectiveness of the ocean tide variance-covariance information through realistic simulations and we assess its potential based on microwave and laser interferometer observations from the GRACE Follow-On mission. We show that errors are reduced by more than 20% ocean wRMS for a Gaussian filter radius of 300 km if uncertainty information for ocean tides is considered and stochastic modeling of instrument errors is applied, compared to the latest GFZ release 6.1. Our results also show the limited visibility of the effectiveness of the ocean tide variance-covariance information due to the dominating error contribution of non-tidal atmospheric and oceanic mass variations. Additionally, we investigate the option of estimating ocean tide parameters over a 1-year period while including ocean tide uncertainty information in order to improve ocean tide background modeling.",
keywords = "GRACE Follow-on, gravity field, ocean tides, variance-covariance",
author = "Markus Hauk and Josefine Wilms and Roman Sulzbach and Natalia Panafidina and Michael Hart-Davis and Christoph Dahle and Vitali M{\"u}ller and Michael Murb{\"o}ck and Frank Flechtner",
note = "Funding Information: This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the research unit New Refined Observations of Climate Change from Spaceborne Gravity Missions (NEROGRAV, DFG Research Unit 2736). The mentioned aspects of future research are part of the second phase of this research unit. Further, this work is supported within the funding program {\textquoteleft}Open Access Publikationskosten{\textquoteright} DFG‐ Project Number 491075472. We would also like to thank European Space Agency (ESA) for supporting this work within the Third Party Mission (TPM) program – Science Phase, ESA RFP/3–17121/21/I‐DT‐lr. Open Access funding enabled and organized by Projekt DEAL. ",
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TY - JOUR

T1 - Satellite Gravity Field Recovery Using Variance-Covariance Information From Ocean Tide Models

AU - Hauk, Markus

AU - Wilms, Josefine

AU - Sulzbach, Roman

AU - Panafidina, Natalia

AU - Hart-Davis, Michael

AU - Dahle, Christoph

AU - Müller, Vitali

AU - Murböck, Michael

AU - Flechtner, Frank

N1 - Funding Information: This work is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) within the research unit New Refined Observations of Climate Change from Spaceborne Gravity Missions (NEROGRAV, DFG Research Unit 2736). The mentioned aspects of future research are part of the second phase of this research unit. Further, this work is supported within the funding program ‘Open Access Publikationskosten’ DFG‐ Project Number 491075472. We would also like to thank European Space Agency (ESA) for supporting this work within the Third Party Mission (TPM) program – Science Phase, ESA RFP/3–17121/21/I‐DT‐lr. Open Access funding enabled and organized by Projekt DEAL.

PY - 2023/10/12

Y1 - 2023/10/12

N2 - Monthly gravity field recovery using data from the GRACE and GRACE Follow-On missions includes errors limiting the spatial and temporal resolution of the estimated gravity fields. The major error contributions, besides the noise of the accelerometer instruments, arise from temporal aliasing errors due to imperfections in the non-tidal atmospheric and oceanic de-aliasing models and ocean tide models. We derive uncertainty information for the eight major tidal constituents from five different ocean tide models and introduce it into the gravity field recovery process in terms of a constrained normal equation system while expanding the parameter space by additional tidal parameters to be adjusted. We prove the effectiveness of the ocean tide variance-covariance information through realistic simulations and we assess its potential based on microwave and laser interferometer observations from the GRACE Follow-On mission. We show that errors are reduced by more than 20% ocean wRMS for a Gaussian filter radius of 300 km if uncertainty information for ocean tides is considered and stochastic modeling of instrument errors is applied, compared to the latest GFZ release 6.1. Our results also show the limited visibility of the effectiveness of the ocean tide variance-covariance information due to the dominating error contribution of non-tidal atmospheric and oceanic mass variations. Additionally, we investigate the option of estimating ocean tide parameters over a 1-year period while including ocean tide uncertainty information in order to improve ocean tide background modeling.

AB - Monthly gravity field recovery using data from the GRACE and GRACE Follow-On missions includes errors limiting the spatial and temporal resolution of the estimated gravity fields. The major error contributions, besides the noise of the accelerometer instruments, arise from temporal aliasing errors due to imperfections in the non-tidal atmospheric and oceanic de-aliasing models and ocean tide models. We derive uncertainty information for the eight major tidal constituents from five different ocean tide models and introduce it into the gravity field recovery process in terms of a constrained normal equation system while expanding the parameter space by additional tidal parameters to be adjusted. We prove the effectiveness of the ocean tide variance-covariance information through realistic simulations and we assess its potential based on microwave and laser interferometer observations from the GRACE Follow-On mission. We show that errors are reduced by more than 20% ocean wRMS for a Gaussian filter radius of 300 km if uncertainty information for ocean tides is considered and stochastic modeling of instrument errors is applied, compared to the latest GFZ release 6.1. Our results also show the limited visibility of the effectiveness of the ocean tide variance-covariance information due to the dominating error contribution of non-tidal atmospheric and oceanic mass variations. Additionally, we investigate the option of estimating ocean tide parameters over a 1-year period while including ocean tide uncertainty information in order to improve ocean tide background modeling.

KW - GRACE Follow-on

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KW - ocean tides

KW - variance-covariance

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