High‐Latitude Joule Heating in TIE‐GCM 3.0: Evaluation of Different Plasma Convection Forcing Models

Abstract We systematically evaluate the high‐latitude Joule heating of the recently released version 3.0 Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE‐GCM) by comparison to EISCAT incoherent scatter radar measurements. The model performance is examined using normalized root mean square deviations derived from test runs driven by different convection patterns from empirical and data‐assimilated models. The following features are revealed: (a) Data‐assimilated geomagnetic forcing improves the agreement between modeled and EISCAT‐derived Joule heating rates by 8%, 28%, and 54% for low, moderate, and high geomagnetic activity. (b) Increasing model grid resolution from 2.5° to 1.25° leads to 20% higher Joule heating rates. (c) AMIE‐driven runs better reproduce the magnitude of the Joule heating rates, AMGeO‐driven runs the vertical profile. (d) Internal model time step resolution has no effect on the Joule heating rates.

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Publication Details

Journal
Geophysical Research Letters
Published
2025-08-28
DOI
https://doi.org/10.1029/2025gl117647
Citations
2
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
2.31

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article

High‐Latitude Joule Heating in TIE‐GCM 3.0: Evaluation of Different Plasma Convection Forcing Models

Gunter Stober, Huixin Liu, Frank Heymann, G. Lu et al.
2 citations
Geophysical Research Letters
Ionosphere and magnetosphere dynamics
2.31
article

High‐Latitude Joule Heating in TIE‐GCM 3.0: Evaluation of Different Plasma Convection Forcing Models

Gunter Stober, Huixin Liu, Frank Heymann, G. Lu, Haonan Wu, N. Bartel, Florian Günzkofer, Claudia Borries, Hanli Liu
article en
2 citations

Abstract

Abstract We systematically evaluate the high‐latitude Joule heating of the recently released version 3.0 Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE‐GCM) by comparison to EISCAT incoherent scatter radar measurements. The model performance is examined using normalized root mean square deviations derived from test runs driven by different convection patterns from empirical and data‐assimilated models. The following features are revealed: (a) Data‐assimilated geomagnetic forcing improves the agreement between modeled and EISCAT‐derived Joule heating rates by 8%, 28%, and 54% for low, moderate, and high geomagnetic activity. (b) Increasing model grid resolution from 2.5° to 1.25° leads to 20% higher Joule heating rates. (c) AMIE‐driven runs better reproduce the magnitude of the Joule heating rates, AMGeO‐driven runs the vertical profile. (d) Internal model time step resolution has no effect on the Joule heating rates.

Geophysical Research LettersVol. 52(17)
NSF National Center for Atmospheric Research (US), NSF NCAR High Altitude Observatory (US), University of Bern (CH), Oeschger Centre for Climate Change Research (CH), Kyushu University (JP), University of Colorado Boulder (US), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
National Science Foundation, UK Research and Innovation, National Institute of Polar Research, Japan Society for the Promotion of Science
Openalex Percentile: Top 10%
Ionosphere and magnetosphere dynamics
2.31
DOIOpen Access PDFOpenAlex
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