A Quiet‐Day Ionospheric Electrodynamics Empirical Model in the Low and Middle Latitudes

Abstract In this paper, we develop a climatology model of the ionospheric electric field and potential at low and middle latitudes on quiet time, utilizing plasma drift observed from the ROCSAT‐1 satellite. The meridional/vertical and zonal E × B drifts are transformed to the electric fields using modified Apex coordinates under the real geomagnetic field model. The electric field data are adjusted to different solar levels through bilinear fitting, and organized into seasonal, longitudinal, latitudinal bins. The fully normalized associated Legendre functions are chosen as the fitting basis modes. Our model can effectively describe the latitudinal dependence of the electrodynamics parameters cover equatorward of 35° magnetic latitude. The fitted drifts hold the fundamental characteristics of the results observed prior to fitting. The model potential can well shows the typical morphological characteristics that are in great agreement with prior research findings. Furthermore, the potential variations exhibit distinct seasonal, solar flux, and UT dependence under moderate and high solar flux conditions. Within the framework of this model, the potential, electric field, and drift can be mutually converted while maintaining self‐consistency.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Space Physics
Published
2024-12-01
DOI
https://doi.org/10.1029/2024ja032937
Citations
2
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Quiet‐Day Ionospheric Electrodynamics Empirical Model in the Low and Middle Latitudes

Yan‐Lin Wang, Yunbo Liu, Zhipeng Ren
2 citations
Journal of Geophysical Research Space Physics
Ionosphere and magnetosphere dynamics
0.66
article

A Quiet‐Day Ionospheric Electrodynamics Empirical Model in the Low and Middle Latitudes

Yan‐Lin Wang, Yunbo Liu, Zhipeng Ren
article en
2 citations

Abstract

Abstract In this paper, we develop a climatology model of the ionospheric electric field and potential at low and middle latitudes on quiet time, utilizing plasma drift observed from the ROCSAT‐1 satellite. The meridional/vertical and zonal E × B drifts are transformed to the electric fields using modified Apex coordinates under the real geomagnetic field model. The electric field data are adjusted to different solar levels through bilinear fitting, and organized into seasonal, longitudinal, latitudinal bins. The fully normalized associated Legendre functions are chosen as the fitting basis modes. Our model can effectively describe the latitudinal dependence of the electrodynamics parameters cover equatorward of 35° magnetic latitude. The fitted drifts hold the fundamental characteristics of the results observed prior to fitting. The model potential can well shows the typical morphological characteristics that are in great agreement with prior research findings. Furthermore, the potential variations exhibit distinct seasonal, solar flux, and UT dependence under moderate and high solar flux conditions. Within the framework of this model, the potential, electric field, and drift can be mutually converted while maintaining self‐consistency.

Journal of Geophysical Research Space PhysicsVol. 129(12)
Chinese Academy of Sciences (CN), Institute of Geology and Geophysics (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences
Climate action
Openalex Percentile: Top 27%
Ionosphere and magnetosphere dynamics
0.66
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.