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Abstract
We present a two-step approach used for accelerometer data calibration within the ITSG-Grace2016 release and analyze its impact on the recovered gravity field solutions, especially on the C20 coefficients.
Within the ITSG-Grace2016 release, the accelerometer biases are estimated daily using uniform cubic basis splines (UCBS), the scale factors are also estimated daily using a fully-populated scale factor matrix. Therefore, not only the sale factors in along-track, cross-track and radial direction are estimated, but also the non-orthogonality of the accelerometer axes and the misalignment between the Accelerometer Frame (AF) and the Science Reference Frame (SRF) are taken into account. This approach aims at improving the gravity field recovery, hence it does not guarantee a physically correct model. The setup of the calibration parameters is likely to also absorb mismodeled or non-accelerometer induced spurious signals that otherwise map into the gravity field coefficients.
For the ITSG-Grace2016 release, the improved calibration parametrization not only contributed to a noise reduction, but also significantly improved the estimates of the C20 coefficients. We show that the offset between SLR and GRACE derived C20 time series can be reduced remarkably by the use of a fully-populated scale factor matrix, demonstrating the merit of this new approach. Based on our results, we suggest the presence of a
clear temperature-dependent behavior (biases and scale factors) and the presence of off-diagonal elements within the accelerometer scale factor matrix.
Within the ITSG-Grace2016 release, the accelerometer biases are estimated daily using uniform cubic basis splines (UCBS), the scale factors are also estimated daily using a fully-populated scale factor matrix. Therefore, not only the sale factors in along-track, cross-track and radial direction are estimated, but also the non-orthogonality of the accelerometer axes and the misalignment between the Accelerometer Frame (AF) and the Science Reference Frame (SRF) are taken into account. This approach aims at improving the gravity field recovery, hence it does not guarantee a physically correct model. The setup of the calibration parameters is likely to also absorb mismodeled or non-accelerometer induced spurious signals that otherwise map into the gravity field coefficients.
For the ITSG-Grace2016 release, the improved calibration parametrization not only contributed to a noise reduction, but also significantly improved the estimates of the C20 coefficients. We show that the offset between SLR and GRACE derived C20 time series can be reduced remarkably by the use of a fully-populated scale factor matrix, demonstrating the merit of this new approach. Based on our results, we suggest the presence of a
clear temperature-dependent behavior (biases and scale factors) and the presence of off-diagonal elements within the accelerometer scale factor matrix.
Originalsprache | englisch |
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Publikationsstatus | Veröffentlicht - 6 Okt. 2016 |
Veranstaltung | GRACE Science Team Meeting 2016 - Potsdam, Potsdam, Deutschland Dauer: 5 Okt. 2016 → 7 Okt. 2016 |
Konferenz
Konferenz | GRACE Science Team Meeting 2016 |
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Kurztitel | GSTM 2016 |
Land/Gebiet | Deutschland |
Ort | Potsdam |
Zeitraum | 5/10/16 → 7/10/16 |
Fields of Expertise
- Sustainable Systems
Treatment code (Nähere Zuordnung)
- Basic - Fundamental (Grundlagenforschung)
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