The International Reference Ionosphere model: A review and description of an ionospheric benchmark
D Bilitza, M Pezzopane, V Truhlik… - Reviews of …, 2022 - Wiley Online Library
This paper is a review of the International Reference Ionosphere (IRI) project and model. IRI
is recognized as the official standard for the Earth's ionosphere by the International …
is recognized as the official standard for the Earth's ionosphere by the International …
IRI the international standard for the ionosphere
D Bilitza - Advances in radio science, 2018 - ars.copernicus.org
This paper gives a brief overview over the International Reference Ionosphere (IRI) project
and model. IRI is recognized as the official standard for the ionosphere by the International …
and model. IRI is recognized as the official standard for the ionosphere by the International …
The Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM): NmF2 and hmF2
DR Themens, PT Jayachandran… - Journal of Geophysical …, 2017 - Wiley Online Library
We present here the Empirical Canadian High Arctic Ionospheric Model (E‐CHAIM) quiet N
m F 2, perturbation N m F 2, and quiet hm F 2 models. These models provide peak …
m F 2, perturbation N m F 2, and quiet hm F 2 models. These models provide peak …
Topside electron density representations for middle and high latitudes: A topside parameterization for E‐CHAIM based on the NeQuick
DR Themens, PT Jayachandran… - Journal of …, 2018 - Wiley Online Library
In this study, we present a topside model representation to be used by the Empirical
Canadian High Arctic Ionospheric Model (E‐CHAIM). In the process of this, we also present …
Canadian High Arctic Ionospheric Model (E‐CHAIM). In the process of this, we also present …
Ionosphere Variability II: Advances in theory and modeling
I Tsagouri, DR Themens, A Belehaki, JS Shim… - Advances in Space …, 2023 - Elsevier
This paper aims to provide an overview on recent advances in ionospheric modeling
capabilities, with the emphasis in the efforts relevant to electron density variability. The …
capabilities, with the emphasis in the efforts relevant to electron density variability. The …
Modeling and predicting seasonal ionospheric variations in Turkey using artificial neural network (ANN)
S Inyurt, A Sekertekin - Astrophysics and Space Science, 2019 - Springer
The aim of this study was to model and predict seasonal ionospheric total electron content
(TEC) using artificial neural network (ANN). Within this scope, GPS observations acquired …
(TEC) using artificial neural network (ANN). Within this scope, GPS observations acquired …
A‐CHAIM: Near‐real‐time data assimilation of the high latitude ionosphere with a particle filter
B Reid, DR Themens, A McCaffrey… - Space …, 2023 - Wiley Online Library
Abstract The Assimilative Canadian High Arctic Ionospheric Model (A‐CHAIM) is an
operational ionospheric data assimilation model that provides a 3D representation of the …
operational ionospheric data assimilation model that provides a 3D representation of the …
An evaluation of International Reference Ionosphere electron density in the polar cap and cusp using EISCAT Svalbard radar measurements
LM Bjoland, V Belyey, UP Løvhaug… - Annales …, 2016 - angeo.copernicus.org
Incoherent scatter radar measurements are an important source for studies of ionospheric
plasma parameters. In this paper the EISCAT Svalbard radar (ESR) long-term database is …
plasma parameters. In this paper the EISCAT Svalbard radar (ESR) long-term database is …
E‐CHAIM as a model of total electron content: Performance and diagnostics
Here, we assess to what extent the Empirical Canadian High Arctic Ionospheric Model (E‐
CHAIM) can reproduce the climatological variations of vertical Total Electron Content (vTEC) …
CHAIM) can reproduce the climatological variations of vertical Total Electron Content (vTEC) …
Discussing total electron content over the solar wind parameters
E Eroglu - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Modeling and forecasting of Total Electron Content (TEC) values by an Artificial Neural
Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The …
Network model (ANNm) have high agreement on November 2003, 2004 superstorms. The …