Storm-time ionospheric electron density structures simulated by coupled model runs at mid- and low-latitudes

Physics

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2415 Equatorial Ionosphere, 2435 Ionospheric Disturbances, 2439 Ionospheric Irregularities, 2441 Ionospheric Storms (7949), 2447 Modeling And Forecasting

Scientific paper

This study presents theoretical simulations of mid- and low-latitude ionospheric electron density structures produced by a storm-generated electric field. Various storm-time ionosphere electron density structures, such as mid- and low-latitude storm enhanced electron density, ionospheric electron density hole, electron density trough, electron density arches, and storm-generated additional layer (F3 layer), are predicted by coupled NCAR Thermosphere Ionosphere Electrodynamic General Circulation Model (TIEGCM) and Sheffield University Plasmasphere Ionosphere Model (SUPIM) runs. Possible physical processes and important drivers responsible for these storm-produced mid- and low-latitude ionospheric structures are discussed under various simulation conditions. A storm-time electron density hole may result from uplift of the original F-layer to much higher altitudes, while a new F-layer is formed at the original F-layer altitude when the photo-ionization process still operates. If the F-layer uplift occurred during evening hours, when the photo-ionization process becomes much weaker, an equatorial density trough is then formed. Meanwhile, a super-high F2 layer and/or F3 layer is also predicted to occur at the magnetic equator by the model runs when the electron density hole formed. After the significant F-layer uplift, the uplifted F-layer plasma diffuses downward along magnetic field lines to the adjacent higher latitudes, resulting in electron density arches. Our results also suggest that the storm-generated equatorward neutral winds can affect the latitudinal extent of the density arches as well as the formation of the additional F-layer at low-latitudes. The model predicted results are also compared with satellite and radar observations, showing good qualitative agreements.

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