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the linearised observation equation system for one short arc can be set up symbolically,
giving




 ∆lpod,A
∆lpod,B
∆lsst
lgpm 



 = 





 A grav,d
pod,A A sat
pod,A 0 0
A grav,d
pod,B 0 A sat
pod,B 0
A grav,d
sst A sat
sst,A A sat
sst,B A sst
sst
A grav,d
gpm 0 0 0 · · ·
· · · Astatepod,A 0 A grav,m
pod,A
0 Astatepod,B A grav,m
pod,B
Astatesst,A A state
sst,B A grav,m
sst
0 0 0 




 











 ∆pgrav,d
∆psat,A
∆psat,B
∆psst
∆y0,A
∆y0,B
∆pgrav,m 











 , (6.4.32)
or l=Ax in short. The indices for the arc m and day k have been omitted here for
clarity. In eq. (6.4.32), empty matrix segments appear where the observations do not
depend on the sought parameters. The POD observations for GRACE-A, for example,
depend neither on the accelerometer calibration parameters for GRACE-B nor on that
spacecraft’s initial state.
When accumulating the observation equations, care has to be taken to not mix up
parameters referring to only a specific day with other parameters of the same type
referring to another day. An ordering for the parameter vector, and accordingly the
blocks in the normal equation system, has to be chosen that ensures that the correct
observation equations are accumulated together. Table 6.2 gives a summary of all
P=46842 parameters estimated for a typical 31 day ITSG-Grace2016 monthly solution.
Table 6.2: Estimated parameters for a month of K=31 days
Type Parameter Parametrization Intervals Per Interval Total
Potential cnm,snm D/O 2 to 40 Daily 957 29967
Potential cnm,snm D/O 2 to 120 Monthly 14637 14637
ACC bias b UCBS Daily 21 / sat 1302
ACC scale S Constant Daily 9 / sat 558
APC vector c Constant Monthly 3 / sat 6
Initial State y0 - Daily 6 / sat 372
Total 46842
6.4 Functional Models 57
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