More Thoughts on AG–SG Comparisons and SG Scale Factor Determinations
Autor: | Séverine Rosat, David Crossley, Jacques Hinderer, Marta Calvo |
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Přispěvatelé: | Department of Earth and Atmospheric Sciences [Saint Louis], Saint Louis University (SLU), Institut de physique du globe de Strasbourg (IPGS), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) |
Rok vydání: | 2018 |
Předmět: |
Offset (computer science)
010504 meteorology & atmospheric sciences Gravimeter [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] 010502 geochemistry & geophysics Residual 01 natural sciences Geophysics Standard error Data acquisition Geochemistry and Petrology Polar motion Outlier Calibration Algorithm ComputingMilieux_MISCELLANEOUS 0105 earth and related environmental sciences Mathematics |
Zdroj: | Pure and Applied Geophysics Pure and Applied Geophysics, Springer Verlag, 2018, ⟨10.1007/s00024-018-1834-9⟩ |
ISSN: | 1420-9136 0033-4553 |
Popis: | We revisit a number of details that arise when doing joint AG–SG (absolute gravimeter–superconducting gravimeter) calibrations, focusing on the scale factor determination and the AG mean value that derives from the offset. When fitting SG data to AG data, the choice of which time span to use for the SG data can make a difference, as well as the inclusion of a trend that might be present in the fitting. The SG time delay has only a small effect. We review a number of options discussed recently in the literature on whether drops or sets provide the most accurate scale factor, and how to reject drops and sets to get the most consistent result. Two effects are clearly indicated by our tests, one being to smooth the raw SG 1 s (or similar sampling interval) data for times that coincide with AG drops, the other being a second pass in processing to reject residual outliers after the initial fit. Although drops can usefully provide smaller SG calibration errors compared to using set data, set values are more robust to data problems but one has to use the standard error to avoid large uncertainties. When combining scale factor determinations for the same SG at the same station, the expected gradual reduction of the error with each new experiment is consistent with the method of conflation. This is valid even when the SG data acquisition system is changed, or different AG’s are used. We also find a relationship between the AG mean values obtained from SG to AG fits with the traditional short-term AG (‘site’) measurements usually done with shorter datasets. This involves different zero levels and corrections in the AG versus SG processing. Without using the Micro-g FG5 software it is possible to use the SG-derived corrections for tides, barometric pressure, and polar motion to convert an AG–SG calibration experiment into a site measurement (and vice versa). Finally, we provide a simple method for AG users who do not have the FG5- software to find an internal FG5 parameter that allows us to convert AG values between different transfer heights when there is a change in gradient. |
Databáze: | OpenAIRE |
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