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Frequency-dependent data weighting in global gravity field modeling from satellite data contaminated by non-stationary noise
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ditmar, Pavel Klees, Roland Liu, Xianglin |
| Copyright Year | 2006 |
| Abstract | Satellite data that are used to model the global gravity field of the Earth are typically corrupted by correlated noise, which can be related to a frequency dependence of the data accuracy. We show an opportunity to take such noise into account by using a proper noise covariance matrix in the estimation procedure. If the dependence of noise on frequency is not known a priori, it can be estimated on the basis of a posteriori residuals. The methodology can be applied to data with gaps. Non-stationarity of noise can also be dealt with, provided that the necessary a priori information exists. The proposed methodology is illustrated with CHAllenging Mini-satellite Payload (CHAMP) data processing. It is shown, in particular, that the usage of a proper noise model can make the measurements of non-gravitational satellite accelerations unnecessarily. This opens the door for high-quality modeling of the Earth’s gravity field on the basis of observed orbits of non-dedicated satellites (i.e., satellites without an on-board accelerometer). Furthermore, the processing of data from dedicated satellite missions – GRACE (Gravity Recovery and Climate Experiment) and GOCE (Gravity field and steady-state Ocean Circulation Explorer) – may also benefit from the proposed methodology. |
| Starting Page | 81 |
| Ending Page | 96 |
| Page Count | 16 |
| File Format | PDF HTM / HTML |
| DOI | 10.1007/s00190-006-0074-4 |
| Volume Number | 81 |
| Alternate Webpage(s) | https://repository.tudelft.nl/islandora/object/uuid:41ed5a9d-f8f0-4e77-8774-36a1a5256327/datastream/OBJ/download |
| Alternate Webpage(s) | http://repository.tudelft.nl/assets/uuid:41ed5a9d-f8f0-4e77-8774-36a1a5256327/2007-25.pdf |
| Alternate Webpage(s) | https://doi.org/10.1007/s00190-006-0074-4 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
