Use of the Comprehensive Inversion method for Swarm satellite data analysis

An advanced algorithm, known as the “Comprehensive Inversion” (CI), is presented for the analysis of Swarm measurements to generate a consistent set of Level-2 data products to be delivered by the Swarm “Satellite Constellation Application and Research Facility” (SCARF) to the European Space Agency...

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Vydáno v:Earth, planets, and space Ročník 65; číslo 11; s. 1201 - 1222
Hlavní autoři: Sabaka, Terence J., Tøffner-Clausen, Lars, Olsen, Nils
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.01.2013
Springer Nature B.V
Témata:
Algorithms
Earth and Environmental Science
Earth Sciences
Geology
Geophysics/Geodesy
Satellites
core
electromagnetic induction
magnetosphere
lithosphere
comprehensive modeling
Earth’s magnetic field
ionosphere
ISSN:1343-8832, 1880-5981
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Shrnutí:An advanced algorithm, known as the “Comprehensive Inversion” (CI), is presented for the analysis of Swarm measurements to generate a consistent set of Level-2 data products to be delivered by the Swarm “Satellite Constellation Application and Research Facility” (SCARF) to the European Space Agency (ESA). This new algorithm improves on a previously developed version in several ways, including the ability to process ground-based observatory data, estimation of rotations describing the alignment of vector magnetometer measurements with a known reference system, and the inclusion of ionospheric induction effects due to an a priori 3-dimensional conductivity model. However, the most substantial improvements entail the application of a mechanism termed “Selective Infinite Variance Weighting” (SIVW), which mitigates the effects of non-zero mean systematic noise and allows for the exploitation of gradient information from the low-altitude Swarm satellite pair to determine small-scale lithospheric fields, and an improvement in the treatment of attitude error due to noise in star-tracking systems over previously established methods. The advanced CI algorithm is validated by applying it to synthetic data from a full simulation of the Swarm mission, where it is found to significantly exceed all mandatory and most target accuracy requirements.
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ISSN:1343-8832
1880-5981
DOI:10.5047/eps.2013.09.007