Modelling high-latitude electron densities with a coupled thermosphere-ionosphere model
A few of the difficulties in accurately modelling high-latitude electron densities with a large-scale numerical model of the thermosphere and ionosphere are addressed by comparing electron densities calculated with the Coupled Thermosphere-Ionosphere Model (CTIM) to EISCAT data. Two types of sim...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
1996-12-01
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Series: | Annales Geophysicae |
Online Access: | https://www.ann-geophys.net/14/1391/1996/angeo-14-1391-1996.pdf |
Summary: | A few of the difficulties in accurately
modelling high-latitude electron densities with a large-scale numerical model of
the thermosphere and ionosphere are addressed by comparing electron densities
calculated with the Coupled Thermosphere-Ionosphere Model (CTIM) to EISCAT data.
Two types of simulations are presented. The first set of simulations consists of
four diurnally reproducible model runs for a <i>Kp</i> index of 4o which differ
only in the placement of the energetic-particle distribution and convection
pattern input at high latitudes. These simulations predict varying amounts of
agreement with the EISCAT data and illustrate that for a given <i>Kp</i> there
is no unique solution at high-latitudes. Small changes in the high-latitude
inputs cause dramatic changes in the high-latitude modelled densities. The
second type of simulation consists of inputting statistical convection and
particle precipitation patterns which shrink or grow as a function of <i>Kp</i>
throughout a 3-day period 21–23 February 1990. Comparisons with the EISCAT data
for the 3 days indicate that equatorward of the particle precipitation the model
accurately simulates the data, while in the auroral zone there is more
variability in the data than the model. Changing the high-latitude forcing as a
function of <i>Kp</i> allows the CTIM to model the average behavior of the
electron densities; however at auroral latitudes model spatial and temporal
scales are too large to simulate the detailed variation seen in individual
nights of data. |
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ISSN: | 0992-7689 1432-0576 |