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| Titel |
Interpolation of Superconducting Gravity Observations Using Least-Squares Collocation Method |
| VerfasserIn |
Branislav Habel, Juraj Janák |
| Konferenz |
EGU General Assembly 2014
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 16 (2014) |
| Datensatznummer |
250086712
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| Publikation (Nr.) |
 EGU/EGU2014-631.pdf |
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| Zusammenfassung |
| A pre-processing of the gravity data measured by superconducting gravimeter involves
removing of spikes, offsets and gaps. Their presence in observations can limit the data
analysis and degrades the quality of obtained results. Short data gaps are filling
by theoretical signal in order to get continuous records of gravity. It requires the
accurate tidal model and eventually atmospheric pressure at the observed site. The
poster presents a design of algorithm for interpolation of gravity observations with
a sampling rate of 1 min. Novel approach is based on least-squares collocation
which combines adjustment of trend parameters, filtering of noise and prediction. It
allows the interpolation of missing data up to a few hours without necessity of
any other information. Appropriate parameters for covariance function are found
using a Bayes’ theorem by modified optimization process. Accuracy of method
is improved by the rejection of outliers before interpolation. For filling of longer
gaps the collocation model is combined with theoretical tidal signal for the rigid
Earth. Finally, the proposed method was tested on the superconducting gravity
observations at several selected stations of Global Geodynamics Project. Testing
demonstrates its reliability and offers results comparable with the standard approach
implemented in ETERNA software package without necessity of an accurate tidal model. |
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