TY - JOUR
T1 - Statistical Models of the Variability of Plasma in the Topside Ionosphere
T2 - 2. Performance assessment
AU - Spogli, Luca
AU - Jin, Yaqi
AU - Urbář, Jaroslav
AU - Wood, Alan G.
AU - Donegan-Lawley, Elizabeth E.
AU - Clausen, Lasse B.N.
AU - Shahtahmassebi, Golnass
AU - Rawlings, James
AU - Cicone, Antonio
AU - Kotova, Daria
AU - Cesaroni, Claudio
AU - Høeg, Per
AU - Dorrian, Gareth D.
AU - Nugent, Luke D.
AU - Elvidge, Sean
AU - Themens, David R.
AU - Aragón, María José Brazal
AU - Wojtkiewicz, Pawel
AU - Miloch, Wojciech J.
PY - 2024/3/11
Y1 - 2024/3/11
N2 - Statistical models of the variability of plasma in the topside ionosphere based on the Swarm data have been developed in the “Swarm Variability of Ionospheric Plasma” (Swarm-VIP) project within the European Space Agency’s Swarm+4D-Ionosphere framework. The models can predict the electron density, its gradients for three horizontal spatial scales – 20, 50 and 100 km – along the North-South direction and the level of the density fluctuations. Despite being developed by leveraging on Swarm data, the models provide predictions that are independent of these data, having a global coverage, fed by various parameters and proxies of the helio-geophysical conditions. Those features make the Swarm-VIP models useful for various purposes, which include the possible support for already available ionospheric models and proxy of the effect of ionospheric irregularities of the medium scales that affect the signals emitted by Global Navigation Satellite Systems (GNSS). The formulation, optimisation and validation of the Swarm-VIP models are reported in Paper 1 (Wood et al. 2024. J Space Weather Space Clim. in press). This paper describes the performance assessment of the models, by addressing their capability to reproduce the known climatological variability of the modelled quantities, and the ionospheric weather as depicted by ground-based GNSS, as a proxy for the ionospheric effect on GNSS signals. Additionally, we demonstrate that, under certain conditions, the model can better reproduce the ionospheric variability than a physics-based model, namely the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIE-GCM).
AB - Statistical models of the variability of plasma in the topside ionosphere based on the Swarm data have been developed in the “Swarm Variability of Ionospheric Plasma” (Swarm-VIP) project within the European Space Agency’s Swarm+4D-Ionosphere framework. The models can predict the electron density, its gradients for three horizontal spatial scales – 20, 50 and 100 km – along the North-South direction and the level of the density fluctuations. Despite being developed by leveraging on Swarm data, the models provide predictions that are independent of these data, having a global coverage, fed by various parameters and proxies of the helio-geophysical conditions. Those features make the Swarm-VIP models useful for various purposes, which include the possible support for already available ionospheric models and proxy of the effect of ionospheric irregularities of the medium scales that affect the signals emitted by Global Navigation Satellite Systems (GNSS). The formulation, optimisation and validation of the Swarm-VIP models are reported in Paper 1 (Wood et al. 2024. J Space Weather Space Clim. in press). This paper describes the performance assessment of the models, by addressing their capability to reproduce the known climatological variability of the modelled quantities, and the ionospheric weather as depicted by ground-based GNSS, as a proxy for the ionospheric effect on GNSS signals. Additionally, we demonstrate that, under certain conditions, the model can better reproduce the ionospheric variability than a physics-based model, namely the Thermosphere-Ionosphere-Electrodynamics General Circulation Model (TIE-GCM).
KW - Topside ionosphere
KW - Space weather
KW - Ionosphere atmosphere interactions
KW - Statistical modelling
U2 - 10.1051/swsc/2024003
DO - 10.1051/swsc/2024003
M3 - Article
SN - 2115-7251
VL - 14
JO - Journal of Space Weather and Space Climate
JF - Journal of Space Weather and Space Climate
M1 - 4
ER -