Vector Spherical Harmonics for Data‐Assimilative Neutral Wind Estimation

In this work we enable the data assimilation algorithm Estimating Model Parameters from Ionospheric Reverse Engineering (EMPIRE) to estimate global neutral winds. EMPIRE corrects the ion drifts and neutral winds from background models using electron density in the F region derived mainly from total...

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Veröffentlicht in:	Space Weather 2022-08, Vol.20 (8), p.n/a
Hauptverfasser:	López Rubio, Aurora, Datta‐Barua, Seebany
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atmospheric models Basis functions Charged particles Continuity (mathematics) Data assimilation Data collection Electron density Estimates Estimation F region Geomagnetic storms Geomagnetism Interferometers Ionosphere Ionospheric models Magnetic fields Magnetic storms Modelling Neutral particles Particle density (concentration) Power series Reverse engineering Spherical harmonics Storms Temperature variations Upper atmosphere Wind Wind estimation
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