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dc.contributor.authorHovland, Amalie Øie
dc.contributor.authorLaundal, Karl Magnus
dc.contributor.authorReistad, Jone Peter
dc.contributor.authorHatch, Spencer Mark
dc.contributor.authorWalker, Simon
dc.contributor.authorMadelaire, Michael
dc.contributor.authorOhma, Anders
dc.date.accessioned2023-02-03T13:49:10Z
dc.date.available2023-02-03T13:49:10Z
dc.date.created2023-01-13T14:12:52Z
dc.date.issued2022
dc.identifier.issn2296-987X
dc.identifier.urihttps://hdl.handle.net/11250/3048362
dc.description.abstractA recent paper by Laundal et al. (2022c) presented a new technique to combine all available measurements of polar ionospheric electrodynamics; magnetic field measurements from ground and space, ionospheric convection data from radars and satellites, and conductance measurements; to a full 2D map within analysis regions of arbitrary resolution and extent. The technique, called Local Mapping of Polar Ionospheric Electrodynamics (Lompe), is implemented in Python (Laundal et al., 2022a). The Lompe technique combines spherical elementary current system analysis, finite element analysis on a cubed-sphere projection, the use of empirical models like the International Geomagnetic Reference Field, and visualization tools. In this paper, we go through these different components of the Lompe code and show how they are useful on their own, for example in the analysis of ground magnetometer data or data from the upcoming Electrojet Zeeman Imaging Explorer mission. We also demonstrate how to use the Lompe code to produce a coherent picture of ionospheric electrodynamics.en_US
dc.language.isoengen_US
dc.publisherFrontiersen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe Lompe code: A Python toolbox for ionospheric data analysisen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.source.articlenumber1025823en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.3389/fspas.2022.1025823
dc.identifier.cristin2106649
dc.source.journalFrontiers in Astronomy and Space Sciencesen_US
dc.identifier.citationFrontiers in Astronomy and Space Sciences. 2022, 9, 1025823.en_US
dc.source.volume9en_US


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