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the acceleration due to conservative forces derived from the background models are
integrated in the determination of the GRACE dynamic orbits (eq. (5.2.2)). Due to the
integration, noise at lower frequencies is amplified, while noise at higher frequencies
is damped.
Figure 6.8b shows the estimated arc-wise variance factorsσ2m for the ll-SST observations.
Their mean is 1, due to the normalization applied in eq. (6.5.29). A systematic increase
of the arc-wise variance factors can be observed during the third quarter of the month.
According to Flechtner (2010), GRACE-A was commanded into attitude hold mode
(AHM) on June 17, 2010, during which the pointing towards GRACE-B is not enforced
as strictly, and can undergo larger variations. The time period that GRACE-A spent
in AHM is shaded with a grey backdrop, and corresponds well with a period of
increased arc-wise variance factors. This demonstrates how a drop in data quality
was automatically detected through VCE. The arc-wise variance factors increase in
value, meaning the weight of the corresponding arcs in the LSA decreases accordingly.
Figures 6.8d and 6.8f show the arc-wise variance factors for the POD observations on
GRACE-A and GRACE-B. As the GPS observations are not affected by the AHM, their
arc-wise variance factors do not show a corresponding change during this period.
Figures 6.8c and 6.8e show the PSDs for the GRACE-A and GRACE-B POD observa-
tions. The PSDs are estimated separately for each coordinate axis in the orbit system,
giving the three curves shown.
6.6 Complete solution
With the dynamic orbits determined, a functional model set up, and the stochastic
characteristics of the signals estimated, a complete GRACE gravity field solution can
be determined. For ITSG-Grace2016, this comprises both monthly and daily gravity
fields. An ITSG-Grace2016 monthly solution is computed from all data available for
that specific calendar month, beginning at 00:00:00 UTC on the 1st day of the month,
and up to, but not including, 24:00:00 UTC on the last day of the month. For months
with large data gaps no attempt is made to combine data from multiple months. The
resulting gravity field is then the temporal mean of the time-variable gravity signal for
that month. Together with the static field and long-term time-variable signal, which
were introduced as a priori reference fields in the dynamic orbit integration, this gives
the full mean potential for the month. This corresponds to the required step of adding
the adjusted parameters to the Taylor point in any LSA, with xˆ=x0+∆xˆ. Monthly
gravity fields are computed up to D/O 120. Expansions up to D/O 90 and 60 are then
determined through truncation of the full normal equation system. All three solutions
are then provided to the user community.
Daily gravity field solutions are determined using GRACE observations from 00:00:00
UTC of that day up to, but not including, 24:00:00 UTC on the same day. In addition
to the GRACE observations, additional information in the form of the stochastic
information on the temporal variability of gravity due to geophysical processes is
Chapter6
ITSG-Grace201674
Contributions to GRACE Gravity Field Recovery
Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Titel
- Contributions to GRACE Gravity Field Recovery
- Untertitel
- Improvements in Dynamic Orbit Integration, Stochastic Modelling of the Antenna Offset Correction, and Co-Estimation of Satellite Orientations
- Autor
- Matthias Ellmerr
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Graz
- Datum
- 2018
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-646-8
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 185
- Schlagwörter
- Geodäsie, Gravitation, Geodesy, Physics, Physik
- Kategorien
- Naturwissenschaften Physik
- Technik