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Found 3 entries in the Bibliography.
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Global-scale Observations of the Equatorial Ionization Anomaly
Abstract The National Aeronautics and Space Administration Global-scale Observations of the Limb and Disk ultraviolet spectrograph has been imaging the equatorial ionization anomaly (EIA), regions of the ionosphere with enhanced electron density north and south of the magnetic equator, since October 2018. The initial 3 months of observations was during solar minimum conditions, and they included observations in December solstice of unanticipated variability and depleted regions. Depletions are seen on most nights, in contras ...
Eastes, R.; Solomon, S.; Daniell, R.; Anderson, D.; Burns, A.; England, S.; Martinis, C.; McClintock, W.;
Published by: Geophysical Research Letters Published on:
YEAR: 2019   DOI: https://doi.org/10.1029/2019GL084199
Equatorial ionosphere; ionospheric irregularities; ionospheric dynamics; Ionospheric storms; forecasting; airglow and aurora
OVATION Prime-2013: Extension of auroral precipitation model to higher disturbance levels
OVATION Prime (OP) is an auroral precipitation model parameterized by solar wind driving. Distinguishing features of the model include an optimized solar wind-magnetosphere coupling function (dΦMP/dt) which predicts auroral power significantly better than\ Kp\ or other traditional parameters, the separation of aurora into categories (diffuse aurora, monoenergetic, broadband, and ion), the inclusion of seasonal variations, and separate parameter fits for each magnetic latitu ...
Newell, P.; Liou, K.; Zhang, Y.; Sotirelis, T.; Paxton, L.; Mitchell, E.;
Published by: Space Weather Published on: 06/2014
YEAR: 2014   DOI: 10.1002/swe.v12.610.1002/2014SW001056
A new capability has been developed at JHU/APL for forecasting the global aurora quantities based on the DMSP SSUSI data and the TIMED/GUVI Global Aurora Model. The SSUSI Aurora Forecast Model predicts the electron energy flux, mean energy, and equatorward boundary in the auroral oval for up to 1 day or 15 DMSP orbits in advance. In our presentation, we will demonstrate this newly implemented capability and its results. The future improvement plan will be discussed too.
Hsieh, S.~W.; Zhang, Y.; Schaefer, R.~K.; Romeo, G.; Paxton, L.;
Published by: AGU Fall Meeting Abstracts Published on:
Auroral phenomena; forecasting; Ionosphere/magnetosphere interactions; Modeling and forecasting