Alternative method for angular rate determination within the GOCE gradiometer processing

Stummer, C.; Fecher, T.; Pail, Roland

doi:10.1007/s00190-011-0461-3

Cited by 30 publications

(20 citation statements)

References 7 publications

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“…The PSD 1 2 reveals a set of very sharp, energetic frequencies closely related to multiples of the satellite's orbital period. These spectral peaks have also been observed in the SCs onboard GOCE (Stummer et al 2011). These peaks are observed in both satellites and in all three components of the SC error estimates.…”

Section: Modelling Sc Errorssupporting

confidence: 58%

“…These measurements can be combined with SC data, potentially leading to improvements in attitude data in the high-frequency part of the spectrum. A similar approach has already been applied in the GOCE mission for the fusion of attitude data collected by the star camera and the gradiometer instruments (Stummer et al 2011;Frommknecht et al 2011;Stummer et al 2012). It should be investigated, however, whether information collected by the accelerometers is accurate enough to substantially reduce noise in the attitude products.…”

Section: Discussion: Attitude Determination Errors and Future Satellimentioning

confidence: 99%

“…All these publications rely on a priori knowledge of the errors in the SC instruments aboard GOCE. An exception is Stummer et al (2011), where an estimate of real errors in SC instruments is shown.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of star camera errors in GRACE data and their impact on monthly gravity field models

Inácio

Ditmar

Klees

et al. 2015

J Geod

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Star cameras (SCs) on board the GRACE satellites provide information about the attitudes of the spacecrafts. This information is needed to reduce the K-band ranging data to the centre of mass of the satellites. In this paper, we analyse GRACE SC errors using two months of real data of the primary and secondary SCs. We show that the errors consist of a harmonic component, which is highly correlated with the satellite's true anomaly, and a stochastic component. We built models of both error components, and use these models for error propagation studies. Firstly, we analyse the propagation of SC errors into inter-satellite accelerations. A spectral analysis reveals that the stochastic component exceeds the harmonic component, except in the 3-10 mHz frequency band. In this band, which contains most of the geophysically relevant signal, the harmonic error component is larger than the random component. Secondly, we propagate SC errors into optimally filtered monthly mass anomaly maps and compare them with the total error. We found that SC errors account for about 18 % of the total error. Moreover, gaps in the SC data series amplify the effect of SC errors by a factor of 5. Finally, an analysis of inter-satellite pointing angles for GRACE data between 2003 and 2010 reveals that inter-satellite ranging errors were exceptionally large during the period February 2003 till May 2003. During these months, SC noise is amplified by a factor of 3 and is a considerable source of errors in monthly GRACE mass anomaly maps. In the context of future satellite gravity missions, the noise models developed in this paper may be valuable for mission performance studies.

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Section: Modelling Sc Errorssupporting

confidence: 58%

Section: Discussion: Attitude Determination Errors and Future Satellimentioning

confidence: 99%

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Analysis of star camera errors in GRACE data and their impact on monthly gravity field models

Inácio

Ditmar

Klees

et al. 2015

J Geod

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“…Nevertheless, it became evident that improvements in the Level 1b processing are possible (Bouman et al 2010;Stummer et al 2011). On the one hand, calibration parameters are now interpolated in time and on the other hand, the angular rate reconstruction improved by combining different star sensors and using a Wiener filter to combine the star sensor data with the gradiometer data.…”

Section: Discussionmentioning

confidence: 98%

Modelling and Observing the Mw 8.8 Chile 2010 and Mw 9.0 Japan 2011 Earthquakes Using GOCE

Bouman¹,

Fuchs²,

Broerse

et al. 2013

International Association of Geodesy Symposia

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Earthquakes change the gravity field of the area affected by the earthquake due to mass redistribution in the upper layers of the Earth. In addition, for sub-oceanic earthquakes deformation of the ocean floor causes relative sea-level changes and mass redistribution of water that has again a significant effect on the gravity field. Two such recent, large sub-oceanic earthquakes are the 27 February 2010 Chile Maule earthquake with a magnitude of Mw 8.8 and the 11 March 2011 Japan Tohoku earthquake with a magnitude of Mw 9.0. The goal of ESA's satellite GOCE-launched in March 2009-is to map the Earth's gravity field with unprecedented accuracy and resolution. To this end, GOCE carries a gravity gradiometer. Although the mean gravity field is to be mapped, the sheer size of both earthquakes and associated mass redistribution make them both potential candidates for detecting the co-seismic gravity changes in the GOCE gradiometer data. We assess the detectability of gravity field changes in the GOCE gravity gradients by modelling these earthquakes using a forward model. Furthermore, we analyse the GOCE data before and after the respective earthquakes and assess their quality. Based on these analyses we conclude that despite its small signal size at GOCE altitude the Japan earthquake may be visible in the gravity gradients when more post-earthquake data become available. Because of the short data period before the Chile earthquake this signal will probably not be visible.

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“…• The method for merging the calibrated accelerations with non-gravitational accelerations from POD was inspired by Welch's method (Welch 1967). The potential of other methods like the one developed by Stummer et al (2011) still needs to be investigated.…”

Section: Discussionmentioning

confidence: 99%

Swarm accelerometer data processing from raw accelerations to thermospheric neutral densities

et al. 2016

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Alternative method for angular rate determination within the GOCE gradiometer processing

Cited by 30 publications

References 7 publications

Analysis of star camera errors in GRACE data and their impact on monthly gravity field models

Analysis of star camera errors in GRACE data and their impact on monthly gravity field models

Modelling and Observing the Mw 8.8 Chile 2010 and Mw 9.0 Japan 2011 Earthquakes Using GOCE

Swarm accelerometer data processing from raw accelerations to thermospheric neutral densities

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