Statistical models of the variability of plasma in the topside ionosphere: 2. Performance assessment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F24%3A00584015" target="_blank" >RIV/68378289:_____/24:00584015 - isvavai.cz</a>

Result on the web

<a href="https://www.swsc-journal.org/articles/swsc/abs/2024/01/swsc230023/swsc230023.html" target="_blank" >https://www.swsc-journal.org/articles/swsc/abs/2024/01/swsc230023/swsc230023.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/swsc/2024003" target="_blank" >10.1051/swsc/2024003</a>

Result language

angličtina

Original language name

Statistical models of the variability of plasma in the topside ionosphere: 2. Performance assessment

Original language description

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).

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10509 - Meteorology and atmospheric sciences

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Space Weather and Space Climate

ISSN

2115-7251

e-ISSN

2115-7251

Volume of the periodical

14

Issue of the periodical within the volume

March

Country of publishing house

FR - FRANCE

Number of pages

23

Pages from-to

4

UT code for WoS article

001181997500001

EID of the result in the Scopus database

2-s2.0-85187940107