Abstract
| Original language | English |
|---|---|
| Journal | Earth Planets Space |
| Volume | 65 |
| Issue number | 11 |
| Pages (from-to) | 1201-1222 |
| ISSN | 1343-8832 |
| DOIs | |
| Publication status | Published - 2013 |
Cite this
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Use of the Comprehensive Inversion method for Swarm satellite data analysis. / Sabaka, T. J.; Tøffner-Clausen, Lars; Olsen, Nils.
In: Earth Planets Space, Vol. 65, No. 11, 2013, p. 1201-1222.Research output: Contribution to journal › Journal article › Research › peer-review
TY - JOUR
T1 - Use of the Comprehensive Inversion method for Swarm satellite data analysis
AU - Sabaka, T. J.
AU - Tøffner-Clausen, Lars
AU - Olsen, Nils
PY - 2013
Y1 - 2013
N2 - 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 groundbased 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.
AB - 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 groundbased 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.
U2 - 10.5047/eps.2013.09.007
DO - 10.5047/eps.2013.09.007
M3 - Journal article
VL - 65
SP - 1201
EP - 1222
JO - Earth, Planets and Space
JF - Earth, Planets and Space
SN - 1343-8832
IS - 11
ER -