Abstract. In order to provide a scientific base to the NeQuick characterisation under
disturbed conditions, the comparison of its performance for quiet and storm
days is investigated in the southern mid-latitude. This investigation was
realised using the two versions of the NeQuick model which were adapted to
local and storm-specific response by using the critical frequency of the F2
layer (foF2) and the propagation factor (M(3000)F2) derived from
three South African ionosonde measurements, Hermanus (34.40∘ S,
19.20∘ E), Grahamstown (33.30∘ S, 26.50∘ E) and
Louisvale (28.50∘ S, 21.20∘ E). The number of free
electrons contained within a 1 m squared column section known as total
electron content (TEC) is a
widely used ionospheric parameter to estimate its impact on the radio signal
passing through. In this study, the TEC derived from the adapted NeQuick
version is compared with observed TEC derived from Global Navigation
Satellite System (GNSS) data from co-located or nearby GNSS dual-frequency
receivers. The Hermanus K-index is used to select all the disturbed days
(K-index ≥ 5) upon moving from low to high solar activity (from 2009
to 2012). For each disturbed day, a quiet reference day of the same month was
chosen for the investigation. The study reveals that the NeQuick model shows
similar reliability for both magnetic quiet and disturbed conditions, but its
accuracy is affected by the solar activity. The model is much better for
moderate solar activity epochs (2009 and 2010), while it exhibits a
discrepancy with observations during high solar activity epochs. For instance
in Hermanus, the difference between GPS TEC and NeQuick TEC (ΔTEC) is
generally lower than 10 TECu in 2009, and it sometimes reaches 20 TECu in
2011 and 2012. It is also noticed that NeQuick 2 is more accurate than
NeQuick 1, with an improvement in TEC estimation more significant for the
high solar activity epochs. The improvement realised in the latest version of
NeQuick is more than 15 % and sometimes reaches 50 %. Keywords. Ionosphere (mid-latitude ionosphere; modelling and forecasting)