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Contact: [email protected] EGU General Assembly 2013, Vienna, Austria, 07–12 April 2013 Summary Degree-error RMS; geoid error Formal errors; empirical errors & geoid height differences (w.r.t. ITG-Grace2010s) Comparison of GOCE-GPS gravity fields derived by different approaches Several approaches have been proposed to extract gravity field information from the GPS-derived kinematic GOCE (Gravity field and steady-state Ocean Circulation Explorer) orbits. Although there is a general consensus that, except for energy balance, these methods theoretically provide equivalent results, GOCE-GPS solutions based on real data have never been compared with each other within a consistent data processing environment so far. This contribution strives to close this gap. The gravity field solutions considered here make use of the CMA Celestial Mechanics Approach [1] computed at AIUB (U Bern) SAA Short-Arc Approach [2] computed at ITSG (TU Graz) AAA Averaged Acceleration Approach [3] computed at DEOS (TU Delft) PAA Point-wise Acceleration Approach [4] computed at GIS/IWF (U Stuttgart/Austrian Acad. of Sciences) EBA Energy Balance Approach [5] computed at INAS (TU Graz) O. Baur 1 , H. Bock 2 , P. Ditmar 3 , H. Hashemi Farahani 3 , A. Jäggi 2 , T. Mayer-Gürr 4 , T. Reubelt 5 , N. Zehentner 4 (1) Space Research Institute, Austrian Academy of Sciences, Graz (2) Astronomical Institute, University of Bern, Switzerland (3) Delft Institute for Earth-Oriented Space research, Delft University of Technology, The Netherlands (4) Institute of Theoretical Geodesy and Satellite Geodesy, Graz University of Technology, Austria (5) Institute of Geodesy, University of Stuttgart, Germany Processing details CMA SAA AAA PAA EBA Orbit data ESA SST_PKI product (reprocessed kinematic GOCE orbit) Variance-covariance data ESA SST_PCV product no ESA SST_PCV product Period 1.11.2009–11.1.2010 (R1) Spectral resolution 130 120 100 Regularization no A priori information EGM96 no Background models according to IERS Conventions 2003/2010 Non-gravitational accel. yes no yes Empirical accelerations yes no The IWF acknowledges support by Sandro Krauss (computation of orbit residuals) and Eduard Höck (provision of the INAS solutions). The GIS thanks Matthias Roth and Matthias Weigelt for data preparation and data processing discussion, respectively. [1]Jäggi A, Bock H, Prange L, et al. (2011)GPS-only gravity field recovery with GOCE, CHAMP, and GRACE. Adv Space Res 47: 1020-1028 [2]Mayer-Gürr T (2006) Gravitationsfeldbestimmung aus der Analyse kurzer Bahnbögen am Beispiel der Satellitenmissionen CHAMP und GRACE. Institut für Geodäsie und Geoinformation 9, U Bonn [3]Ditmar P, van Eck van der SluijsA (2004) A technique for modeling the Earth’s gravity field on the basis of satellite accelerations. J Geod 78: 12-33 [4]Baur O, Reubelt T, Weigelt M, et al. (2012) GOCE orbit analysis: Long-wavelength gravity field determination using the acceleration approach, Adv Space Res 50: 385-396 [5]Pail R, Bruinsma S, Migliaccio F, et al. (2011) First GOCE gravity field models derived by three different approaches. J Geod 85: 819-843 [6] van Gelderen M, Koop R (1997) The use of degree variances in satellite gradiometry. J Geod71: 337- 343 Acknowledgements & References SLR tracking residuals (obs.–comp.) empirical relative errors (log10) formal errors (log10) geoid height differences (cm), smoothing 500km PAA CMA SAA EBA Orders (inclination I in rad) omitted [6] All orders considered empirical formal AAA empirical formal Empirical errors at degree 100 PAA: 18.2 cm CMA: 18.3 cm SAA: 19.1 cm AAA: 22.0 cm EBA: 29.7 cm empirical formal Accumulated geoid height errors Lageos1 (up to degree and order 20) c20 coefficient replaced by SLR-derived value Parameterization: monthly arcs Estimated parameters: state vectors (1/arc), station coordinates (1/arc), drag coefficients (1/day), constant empirical accelerations (1/day), measurement biases (1/station and arc) Mean RMS 2.4 cm 2.8 cm 4.7 cm 2.9 cm 3.1 cm 2.7 cm 2.4 cm Mean RMS 2.3 cm 2.8 cm 3.6 cm 2.7 cm 2.5 cm 2.3 cm 2.2 cm l I - π 5 . 0 source: https://doi.org/10.7892/boris.44826 | downloaded: 13.3.2017
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Page 1: poster egu2013 goce-sst R1 final - COnnecting REpositories · SAA AAA p AA EBA 20 40 2 60 100 -100 -50 120 180 300 —CMA —SAA AAA EBA a 40 60 100 -100 100 acMA AAA EBA ITG-G EGM2008

Contact: [email protected] EGU General Assembly 2013, Vienna, Austria, 07–12 April 2013

Summary

Degree-error RMS; geoid errorFormal errors; empirical errors & geoid height differences (w.r.t. ITG-Grace2010s)

Comparison of GOCE-GPS gravity fields derived by different approaches

Several approaches have been proposed to extract gravity field information from the GPS-derivedkinematic GOCE (Gravity field and steady-state Ocean Circulation Explorer) orbits. Although there is ageneral consensus that, except for energy balance, these methods theoretically provide equivalent results,GOCE-GPS solutions based on real data have never been compared with each other within a consistent dataprocessing environment so far. This contribution strives to close this gap. The gravity field solutionsconsidered here make use of the

CMA Celestial Mechanics Approach [1] computed at AIUB (U Bern)

SAA Short-Arc Approach [2] computed at ITSG (TU Graz)

AAA Averaged Acceleration Approach [3] computed at DEOS (TU Delft)

PAA Point-wise Acceleration Approach [4] computed at GIS/IWF (U Stuttgart/Austrian Acad. of Sciences)

EBA Energy Balance Approach [5] computed at INAS (TU Graz)

O. Baur1, H. Bock2, P. Ditmar3, H. Hashemi Farahani3, A. Jäggi2, T. Mayer-Gürr4, T. Reubelt5, N. Zehentner4

(1) Space Research Institute, Austrian Academy of Sciences, Graz (2) Astronomical Institute, University of Bern, Switzerland (3) Delft Institute for Earth-Oriented Space research, Delft Universityof Technology, The Netherlands (4) Institute of Theoretical Geodesy and Satellite Geodesy, Graz University of Technology, Austria (5) Institute of Geodesy, University of Stuttgart, Germany

Processing details

CMA SAA AAA PAA EBA

Orbit data ESA SST_PKI product (reprocessed kinematic GOCE orbit)

Variance-covariance data ESA SST_PCV product no ESA SST_PCV product

Period 1.11.2009–11.1.2010 (R1)

Spectral resolution 130 120 100

Regularization no

A priori information EGM96 no

Background models according to IERS Conventions 2003/2010

Non-gravitational accel. yes no yes

Empirical accelerations yes no

The IWF acknowledges support by Sandro Krauss (computation of orbit residuals) and Eduard Höck

(provision of the INAS solutions). The GIS thanks Matthias Roth and Matthias Weigelt for data

preparation and data processing discussion, respectively.

[1] Jäggi A, Bock H, Prange L, et al. (2011)GPS-only gravity field recovery with GOCE, CHAMP, and GRACE.

Adv Space Res 47: 1020-1028

[2] Mayer-Gürr T (2006) Gravitationsfeldbestimmung aus der Analyse kurzer Bahnbögen am Beispiel der

Satellitenmissionen CHAMP und GRACE. Institut für Geodäsie und Geoinformation 9, U Bonn

[3] Ditmar P, van Eck van der Sluijs A (2004) A technique for modeling the Earth’s gravity field on the

basis of satellite accelerations. J Geod 78: 12-33

[4] Baur O, Reubelt T, Weigelt M, et al. (2012) GOCE orbit analysis: Long-wavelength gravity field

determination using the acceleration approach, Adv Space Res 50: 385-396

[5] Pail R, Bruinsma S, Migliaccio F, et al. (2011) First GOCE gravity field models derived by three different

approaches. J Geod 85: 819-843

[6] van Gelderen M, Koop R (1997) The use of degree variances in satellite gradiometry. J Geod 71: 337-

343

Acknowledgements & References

SLR tracking residuals (obs.–comp.)

empirical relative errors (log10)formal errors (log10) geoid height differences (cm), smoothing 500km

PAA

CMA

SAA

EBA

Orders (inclination I in rad) omitted [6]

All orders considered

empirical

formal

AAA

empirical

formal

Empirical errors at degree 100

PAA: 18.2 cm

CMA: 18.3 cm

SAA: 19.1 cm

AAA: 22.0 cm

EBA: 29.7 cm

empirical

formal

Accumulated geoid height errors

Lageos1 (up to degree and order 20)

c20 coefficient replaced by SLR-derived value

Parameterization: monthly arcsEstimated parameters: state vectors (1/arc), station coordinates (1/arc), drag coefficients (1/day), constant empirical accelerations (1/day), measurement biases (1/station and arc)

Mean RMS

2.4 cm

2.8 cm

4.7 cm

2.9 cm

3.1 cm

2.7 cm

2.4 cm

Mean RMS

2.3 cm

2.8 cm

3.6 cm

2.7 cm

2.5 cm

2.3 cm

2.2 cm

lI−≤ π5.0

source: https://doi.org/10.7892/boris.44826 | downloaded: 13.3.2017

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