ITSG-Grace2018: The new GRACE Time Series from TU Graz

Torsten Mayer-Gürr, Norbert Zehentner, Sebastian Strasser, Saniya Behzadpour, Andreas Kvas, Beate Klinger, Matthias Ellmer

Research output: Contribution to conferencePosterResearch

Abstract

Compared to the ITSG-Grace2016 release, multiple improvements within the processing chain have been implemented: updated background models, co-estimation of tides and stochastic modeling of satellite orientation measurements.
The ITSG-Grace2018 release is based on Level-1B Release 03 data and the AOD1B Release 06 dealiasing product. It includes unconstrained monthly and Kalman smoothed daily solutions, as well as a static gravity field, covering the complete GRACE observation period. Inaccuracies in background models contribute a significant amount of noise towards the overall error budget of this solution. We mitigate this effect by co-estimating unmodeled signals at various tidal frequencies, and high-frequency temporal variations in the background models through constrained daily gravity field solutions. The constraints used for the combined estimation of daily gravity field variations are now based on improved error estimates for the dealiasing models.

In an effort to better model all known error sources, we propagate orientation uncertainties derived from star camera/angular acceleration sensor fusion to the antenna offset correction for the K/Ka-Band observation. This enables the disentanglement of the stationary noise of the K-Band system and the non-stationary noise of the antenna offset correction. A model for bias jumps in the K/Ka-Band observations at the day-night boundary is introduced.

Investigations indicate a noise reduction within the monthly solutions of about 20-30 percent. The reprocessed release is presented and selected parts of the processing chain, as well as their effect on the estimated gravity field solutions, are discussed.
Original languageEnglish
Publication statusPublished - 10 Dec 2018
EventAGU Fall Meeting 2018 - Walter E. Washington Convention Center, Washington, D.C., United States
Duration: 10 Dec 201814 Dec 2018
https://fallmeeting.agu.org/2018/

Conference

ConferenceAGU Fall Meeting 2018
CountryUnited States
CityWashington, D.C.
Period10/12/1814/12/18
Internet address

Fingerprint

GRACE
time series
gravity field
antenna
tide
temporal variation
sensor
modeling

Fields of Expertise

  • Sustainable Systems

Cite this

Mayer-Gürr, T., Zehentner, N., Strasser, S., Behzadpour, S., Kvas, A., Klinger, B., & Ellmer, M. (2018). ITSG-Grace2018: The new GRACE Time Series from TU Graz. Poster session presented at AGU Fall Meeting 2018, Washington, D.C., United States.

ITSG-Grace2018: The new GRACE Time Series from TU Graz. / Mayer-Gürr, Torsten; Zehentner, Norbert; Strasser, Sebastian; Behzadpour, Saniya; Kvas, Andreas; Klinger, Beate; Ellmer, Matthias.

2018. Poster session presented at AGU Fall Meeting 2018, Washington, D.C., United States.

Research output: Contribution to conferencePosterResearch

Mayer-Gürr, T, Zehentner, N, Strasser, S, Behzadpour, S, Kvas, A, Klinger, B & Ellmer, M 2018, 'ITSG-Grace2018: The new GRACE Time Series from TU Graz' AGU Fall Meeting 2018, Washington, D.C., United States, 10/12/18 - 14/12/18, .
Mayer-Gürr T, Zehentner N, Strasser S, Behzadpour S, Kvas A, Klinger B et al. ITSG-Grace2018: The new GRACE Time Series from TU Graz. 2018. Poster session presented at AGU Fall Meeting 2018, Washington, D.C., United States.
Mayer-Gürr, Torsten ; Zehentner, Norbert ; Strasser, Sebastian ; Behzadpour, Saniya ; Kvas, Andreas ; Klinger, Beate ; Ellmer, Matthias. / ITSG-Grace2018: The new GRACE Time Series from TU Graz. Poster session presented at AGU Fall Meeting 2018, Washington, D.C., United States.
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AU - Mayer-Gürr, Torsten

AU - Zehentner, Norbert

AU - Strasser, Sebastian

AU - Behzadpour, Saniya

AU - Kvas, Andreas

AU - Klinger, Beate

AU - Ellmer, Matthias

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AB - Compared to the ITSG-Grace2016 release, multiple improvements within the processing chain have been implemented: updated background models, co-estimation of tides and stochastic modeling of satellite orientation measurements.The ITSG-Grace2018 release is based on Level-1B Release 03 data and the AOD1B Release 06 dealiasing product. It includes unconstrained monthly and Kalman smoothed daily solutions, as well as a static gravity field, covering the complete GRACE observation period. Inaccuracies in background models contribute a significant amount of noise towards the overall error budget of this solution. We mitigate this effect by co-estimating unmodeled signals at various tidal frequencies, and high-frequency temporal variations in the background models through constrained daily gravity field solutions. The constraints used for the combined estimation of daily gravity field variations are now based on improved error estimates for the dealiasing models.In an effort to better model all known error sources, we propagate orientation uncertainties derived from star camera/angular acceleration sensor fusion to the antenna offset correction for the K/Ka-Band observation. This enables the disentanglement of the stationary noise of the K-Band system and the non-stationary noise of the antenna offset correction. A model for bias jumps in the K/Ka-Band observations at the day-night boundary is introduced.Investigations indicate a noise reduction within the monthly solutions of about 20-30 percent. The reprocessed release is presented and selected parts of the processing chain, as well as their effect on the estimated gravity field solutions, are discussed.

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