Abstract
Models are often treated as deterministic in geodetic practice. Hence, inaccurate models directly affect the results of geodetic measurements. This paper proposes a method for the mutual validation of models and observed data. To consider the inaccuracy of models, data resulting from models are treated as stochastic parameter in a linear least squares adjustment. The required stochastic information is obtained by empirical auto and cross correlation functions. This approach is applied to the problem of the mutual validation of Earth orientation parameters, second degree gravity field coefficients and geophysical excitation functions. The results and the limitations of this approach are discussed.
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Acknowledgements
These results have been derived within the work on the project Mutual validation of EOP and gravity field coefficients. This project is part of the research unit Earth Rotation and global Geodynamic processes funded by the German Research Foundation (FOR 584; see: www.erdrotation.de). This is gratefully acknowledged.
We like to thank Minkang Chen who provided SLR gravity field coefficients and gave valuable advices.
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Heiker, A., Kutterer, H. (2015). Integration of Observations and Models in a Consistent Least Squares Adjustment Model. In: Kutterer, H., Seitz, F., Alkhatib, H., Schmidt, M. (eds) The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS'11). International Association of Geodesy Symposia, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-10828-5_8
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DOI: https://doi.org/10.1007/978-3-319-10828-5_8
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