Articles | Volume 11, issue 2
https://doi.org/10.5194/gi-11-323-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gi-11-323-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
In situ calibration of the Swarm-Echo magnetometers
Robert M. Broadfoot
CORRESPONDING AUTHOR
Department of Physics and Astronomy, University of Iowa, Iowa City,
52242, USA
David M. Miles
Department of Physics and Astronomy, University of Iowa, Iowa City,
52242, USA
Warren Holley
Department of Physics and Astronomy, University of Calgary, Calgary
Alberta, T2N 1N4, Canada
Andrew D. Howarth
Department of Physics and Astronomy, University of Calgary, Calgary
Alberta, T2N 1N4, Canada
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Cited articles
Finlay, C. C., Kloss, C., Olsen, N., Hammer, M. D., Tøffner-Clausen, L.,
Grayver, A., and Kuvshinov, A.: The CHAOS-7 geomagnetic field model and
observed changes in the South Atlantic Anomaly, Earth Planet. Space, 72,
156, https://doi.org/10.1186/s40623-020-01252-9, 2020.
Finley, M. G., Shekhar, S., and Miles, D. M.: Identification and Removal of
Reaction Wheel Interference from In-Situ Magnetic Field Data using
Multichannel Singular Spectrum Analysis, J. Earth Space Sci. Open
Archive, 28, https://doi.org/10.1002/essoar.10511290.1, 2022.
Friis-Christensen, E., Lühr, H., Knudsen, D., and Haagmans, R.: Swarm – an
Earth observation mission investigating geospace, Adv. Space
Res., 41, 1, https://doi.org/10.1016/j.asr.2006.10.008, 2018.
Holland, P. W. and Welsch, R. E.: Robust regression using iteratively
reweighted least-squares, Commun. Stat. A-Theor.,
6, 813–827, https://doi.org/10.1080/03610927708827533, 1977.
Houtzager, I.: QR/RQ/QL/LQ factorizations
GitHub [code], https://github.com/iwoodsawyer/factor/releases/tag/v1.9.0.4 (last access: 7 April 2021), 2022.
Huber, P. J.: Robust Statistics, Wiley, New York, https://doi.org/10.1007/978-3-642-04898-2_594, 1981.
Jørgensen, J. L., Denver, T., Betto, M., Jørgensen, P. S., Röser,
H.-P., Sandau, R., and Valenzuela, A. (Eds.): The Micro ASC, a
Miniature Star Tracker. In Small Satellites for Earth Observation, 4th
International Symposium of the International Academy of Astronautics,
157–162, 2003.
Miles, D. M., Mann, I. R., Pakhotin, I. P., Burchill, J. K., Howarth, A. D.,
Knudsen, D. J., Lysak, R. L., Wallis, D. D., Cogger, L. L., and Yau, A. W.:
Alfvénic Dynamics and Fine Structuring of Discrete Auroral Arcs: Swarm
and e-POP Observations, Geophys. Res. Lett., 45, 545–555, https://doi.org/10.1002/2017GL076051, 2018.
Miles, D. M., Broadfoot, R. M., and Piker, C. W.: mgftools matlab source [code], https://epop.phys.ucalgary.ca/wp-content/uploads/2022/08/mgftools_2.1.0.zip, last access: 26 August 2022.
Montenbruck, O., Hauschild, A., Langley, R. B., and Siemes, C.: CASSIOPE orbit
and attitude determination using commercial off-the-shelf GPS receivers, GPS
Solut., 23, 114, https://doi.org/10.1007/s10291-019-0907-2, 2019.
Nielsen, J. B. and Tøffner-Clausen, L. T.: Swarm Level 1b Processor
Algorithms, Technical Report SW-RS-DSC-SY-0002, DTU Space-Technical
University of Denmark, https://earth.esa.int/eogateway/documents/20142/37627/Swarm Level 1bProcessor Algorithms, 2019.
Olsen, N., Tøffner-Clausen, L., Sabaka, T. J., Brauer, P., Merayo, J. M.
G., Jørgensen, J. L., Léger, J. M., Nielsen, O. V., Primdahl, F., and
Risbo, T.: Calibration of the Ørsted vector magnetometer, Earth Planet.
Space, 55, 11–18, https://doi.org/10.1186/BF03352458, 2003.
Olsen, N., Albini, G., Bouffard, J., Parrinello, T., and Tøffner-Clausen,
L.: Magnetic observations from CryoSat-2: calibration and processing of
satellite platform magnetometer data, Earth Planet. Space, 72, 48,
https://doi.org/10.1186/s40623-020-01171-9, 2020.
Parlett, B. N.: The Symmetric Eigenvalue Problem, Society for Industrial and
Applied Mathematics, SIAM, 3600 Market Street, Floor 6, Philadelphia, PA
19104, 152–159, https://doi.org/10.1137/1.9781611971163, 1998.
Shoemake, K.: Quaternion calculus and fast animation. In ACM SIGGRAPH Course
Notes 10, Computer Animation: 3-D motion specification and control, number
10, 101–121, Siggraph, https://doi.org/10.1145/325334.325242, 1987.
Tibshirani, R.: Regression Shrinkage and Selection via the Lasso, J.
Roy. Stat. Soc. Ser. B, 58, 267–268, 1996.
Wallis, D. D.: ePOP MGF Calibrations, Tech. Rep., ePOP-4406, University of Calgary, Tech. Rep., 2010.
Wallis, D. D., Miles, D. M., Narod, B. B., Bennest, J. R., Murphy, K. R.,
Mann, I. R., and Yau, A. W.: The CASSIOPE/e-POP Magnetic Field Instrument
(MGF), Space Sci. Rev., 189, 27–39, https://doi.org/10.1007/s11214-014-0105-z, 2015.
Yau, A. W. and James, H. G.: CASSIOPE Enhanced Polar Outflow Probe (e-POP)
Mission Overview, Space Sci. Rev., 189, 3–14, https://doi.org/10.1007/s11214-015-0135-1, 2015.
Short summary
The Swarm-Echo Satellite carries two magnetometers that allow us to obtain two independent measurements of the changes that occur in the Earth's magnetic field during events such as aurora. Magnetometers must be independently calibrated to ensure they remain accurate. If no magnetic reference is available, a model magnetic field must be used. This paper discusses the method used to calibrate the magnetometers on Swarm-Echo and shows the improvements the calibration has made to the data product.
The Swarm-Echo Satellite carries two magnetometers that allow us to obtain two independent...