Page - 137 - in Contributions to GRACE Gravity Field Recovery - Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
Image of the Page - 137 -
Text of the Page - 137 -
Table 9.2: Empirical mean and standard deviation of KBR APC estimates computed
from complete time series. Values relative to published calibrated APCs.
âxËAPC [cm] âyËAPC [mm] âzËAPC [mm]
GRACE-A
Old model â23.35±15.51 0.74±0.20 â1.12±0.36
Incl. AOC â25.28±12.88 0.72±0.18 â1.15±0.33
With TLS â2.50±20.48 0.50±0.18 â0.86±0.52
GRACE-B
Old model â22.96±18.23 â0.46±0.16 â0.37±0.64
Incl. AOC â24.03±15.60 â0.44±0.14 â0.40±0.57
With TLS â4.44±14.22 â0.29±0.19 0.04±0.54
The panels in fig. 9.6 show the differenceâcËs from the calibrated KBR APC vectors
to the estimated APC vectors in the SRF. The top two panels show the differences
in the x-coordinate for GRACE-A and GRACE-B. It is immediately obvious that the
original estimate for the x-coordinate (brown) has a strong negative bias for both
GRACE-A and GRACE-B. This bias is much larger than the formal errors given in
table 9.1 would suggest. Introducing the AOC covariance information (blue) does
not eliminate this bias but does reduce the spread of the estimates slightly (compare
table 9.2). The estimate using TLS (pink) almost completely eliminates this bias. The
estimate does however retain a rather large standard deviation. This can to some
extent be explained by the unfavourable observation geometry, as the APC vector is
better determinable with larger opening anglesÎČ, which overall are uncommon during
science operations. The discrepancy between formal errors and empirical standard
deviation is however not fully explained by this circumstance, suggesting the continued
presence of some unmodelled systematics. This might still well be due to the systematic
errors in the SCA1B data described by Harvey, 2016.
The estimated y component on both GRACE-A and GRACE-B shows a clear signal
with a roughly annular period. At least for GRACE-A, this is much reduced when
employing the TLS estimate. In general, the co-estimation of the APC vectors gives best
results in time periods of âgoodâ data quality, roughly from 2006 to 2011. Outside of
these periods, the scatter is higher, especially towards the end of the mission lifetime,
where the accelerometer on GRACE-B was powered off (not pictured).
The estimated APC vectors can also be interpreted as a misalignment of the K-Frame
with the SRF (e.g. Horwath et al., 2011). The rotation from the SRF to the K-Frame
expressed by the estimated APCs is described by the relationship
cË=âcËâ·RKFSRF [
1 0 0 ]T
, (9.3.3)
withRKFSRF a small angle rotation as in eq. (6.2.5).
9.3 Results 137
Contributions to GRACE Gravity Field Recovery
Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Title
- Contributions to GRACE Gravity Field Recovery
- Subtitle
- Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Author
- Matthias Ellmerr
- Publisher
- Verlag der Technischen UniversitÀt Graz
- Location
- Graz
- Date
- 2018
- Language
- English
- License
- CC BY 4.0
- ISBN
- 978-3-85125-646-8
- Size
- 21.0 x 29.7 cm
- Pages
- 185
- Keywords
- GeodÀsie, Gravitation, Geodesy, Physics, Physik
- Categories
- Naturwissenschaften Physik
- Technik