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0.1 1 10 100
Frequency [mHz]
10−7
10−6
10−5 All residuals
Stationary contribution
AOCcontribution
Figure 8.10: PSDs of the residuals for June 2010. The combined residuals eˆare shown
in red. The PSD for the disentangled residuals due to stationary
effects eˆsst is shown in green. The PSD for the residuals due to the
non-stationary effects eˆAOC is shown in blue. The shaded frequency band
has the same bounds as in fig. 8.8.
the noise due to the AOC uncertainty must be taken into account when studying these
residuals.
To capture the variability of the power in the estimated residuals not only in the
frequency domain but also with time, a wavelet decomposition is computed for eˆ, eˆsst,
and eˆAOC using the Daubechies 5 wavelet (see e.g. Mallat, 2009) . The length of the
time series allows for 11 levels of decomposition, where each level corresponds to
a specific frequency band. Each of these levels is then re-synthesized individually,
giving 11 time series of residuals, each only containing signals at the frequency band
corresponding to the decomposition level. These residual series were then divided
into 3h intervals. The power of the signal in each frequency band and each interval
was then computed as the RMS over the residuals in that bin. Figure 8.11 shows the
resulting time-frequency-power diagram for the ll-SST residuals of June 2010.
Thetoppaneloffig.8.11showsthepowerof thecombinedresiduals eˆ (red).Duringthe
time periods of an increased opening angle (vertical grey lines), a small but consistent
increase in power is visible at frequencies above≈3mHz (top horizontal grey line). A
further increase in power can be observed on June 2, 2010, where no correspondingly
large increase in opening angle is observed (cf. fig. 8.6a). A third, smaller, increase
occurs on June 13, 2010.
The middle panel of fig. 8.11 shows the power of the residuals due to stationary
processes eˆsst (green). The power distribution is mostly homogeneous over time, as
would be expected from a stationary process. Several small spikes of power can still be
Chapter8 Star Camera Observations and
Uncertainties114
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 Universität 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
- Geodäsie, Gravitation, Geodesy, Physics, Physik
- Categories
- Naturwissenschaften Physik
- Technik