Long‐Term Trends of Ionospheric Day‐to‐Day Variability During the Past Century

Abstract In this study, we explore the long‐term trend of ionospheric day‐to‐day variability induced by atmospheric perturbations over the past century, using time‐slice simulations by the whole atmospheric model. The main results show that the magnitude of the trends in the past century maximizes ∼±1% of the seasonal mean per decade. Analysis of the contributing factors reveals that geomagnetic secular variation primarily contributes to the trends over the American‐Atlantic sector, while increasing greenhouse gases (GHG) explain most trend patterns over the Asia‐Pacific region. Additional evidence by Wuhan ionosonde observations covering the period of 1947–2024, supports the simulated negative trend, and the magnitude agrees well with the simulations. Furthermore, our analysis of atmospheric tides revealed that the weakening of SE2 day‐to‐day variability due to increasing GHG levels is a plausible cause. Our findings thus indicate that ionospheric weather‐like variability also undergoes long‐term trends significantly under the climate change scenario.

Authors

Institutions

Publication Details

Journal
Geophysical Research Letters
Published
2025-10-16
DOI
https://doi.org/10.1029/2025gl118640
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Long‐Term Trends of Ionospheric Day‐to‐Day Variability During the Past Century

Huixin Liu, Xinan Yue, Lianhuan Hu, Xu Zhou et al.
Geophysical Research Letters
Ionosphere and magnetosphere dynamics
article

Long‐Term Trends of Ionospheric Day‐to‐Day Variability During the Past Century

Huixin Liu, Xinan Yue, Lianhuan Hu, Xu Zhou, Wenbo Li, Yi Li
article en

Abstract

Abstract In this study, we explore the long‐term trend of ionospheric day‐to‐day variability induced by atmospheric perturbations over the past century, using time‐slice simulations by the whole atmospheric model. The main results show that the magnitude of the trends in the past century maximizes ∼±1% of the seasonal mean per decade. Analysis of the contributing factors reveals that geomagnetic secular variation primarily contributes to the trends over the American‐Atlantic sector, while increasing greenhouse gases (GHG) explain most trend patterns over the Asia‐Pacific region. Additional evidence by Wuhan ionosonde observations covering the period of 1947–2024, supports the simulated negative trend, and the magnitude agrees well with the simulations. Furthermore, our analysis of atmospheric tides revealed that the weakening of SE2 day‐to‐day variability due to increasing GHG levels is a plausible cause. Our findings thus indicate that ionospheric weather‐like variability also undergoes long‐term trends significantly under the climate change scenario.

Geophysical Research LettersVol. 52(20)
Kyushu University (JP), Institute of Geology and Geophysics (AZ), Institute of Geology and Geophysics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, Japan Society for the Promotion of Science
Openalex Percentile: Top 80%
Ionosphere and magnetosphere dynamics
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.

Long‐Term Trends of Ionospheric Day‐to‐Day Variability During the Past Century — Huixin Liu, Xinan Yue, et al. · Geophysical Research Letters (2025) | TGRS Research Map | TGRS