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Geomagnetic secular variation forecast using the NASA GEMS ensemble Kalman filter: A candidate SV model for IGRF-13

Andrew Tangborn1, Weijia Kuang2, Terence J Sabaka2

  • 1Joint Center for Earth Systems Technology, University of Maryland Baltimore County, Baltimore, MD USA.

Earth, Planets, and Space : EPS
|February 25, 2021
PubMed

Keywords:
Data AssimilationGeodynamo ModelGeomagnetic Secular Variation

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