How Does Increasing CO2 Concentration Affect the Ionospheric Sporadic-E Formation
Farhan Naufal Rifqi1, Huixin Liu1, Lihui Qiu2, Chihiro Tao3, Hiroyuki Shinagawa2 (2025) (link to paper)
1Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
2International Research Center for Space and Planetary Environmental Science (i-SPES), Kyushu University, Fukuoka, Japan
2National Institute of Communication and Technology, Tokyo, Japan
(Figure 2) Diurnal variation of seasonally averaged VIC for the northern hemisphere summer of 2001 showing variation at normal CO2 level (left column),variation at
doubled CO2 level (middle column), and their differences (right column).
This study uses the GAIA atmospheric model to investigate for the first time how increasing CO₂ concentration affects sporadic E (Es) layer formation at 90–120 km altitude. Simulations were conducted for normal (315 ppm) and doubled CO₂ (667 ppm) levels to evaluate changes in vertical ion convergence (VIC)—the key parameter driving Es formation through wind shear mechanisms. The simulations reveal three primary effects:
First, VIC is significantly enhanced globally in the 100–120 km altitude range, with particularly strong increases over East Asia and the Pacific sector. Second, VIC hotspots shift downward by approximately 5 km (from ~120 km to ~115 km) and exhibit substantial changes in their diurnal patterns, with VIC persisting longer into nighttime hours. Third, this enhancement results equally from two mechanisms: reduced ion-neutral collision frequency (due to thermospheric cooling-induced density decreases) and changes in zonal wind shear (likely driven by altered atmospheric tides). These findings suggest future Es layers will be more intense, last longer, and form at lower altitudes, potentially disrupting HF/VHF communication systems.
Long-Term Trends of Ionospheric Day-to-Day Variability During the Past Century
Xu Zhou1, Wenbo Li1, Huixin Liu3, Lianhuan Hu1, Yi Li1, Xinan Yue1,2 (2025) (link to paper)
1Key Laboratory of Planetary Science and Frontier Technology | Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
2College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing, China
3Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
(Figure 2) Changes of ionospheric day‐to‐day variability from 1960s to 2010s during the nighttime (left, LT00) and daytime
(right, LT12).Gray dots indicate areas statistically insignificant with p-value larger than 0.05.
This study uses WACCM-X whole atmospheric model simulations to investigate long-term trends in ionospheric day-to-day variability over the past century (1921–2015), validated against Wuhan ionosonde observations spanning 1947–2024. The analysis examined F-layer critical frequency (foF2) standard deviations normalized by monthly means, performing time-slice simulations under perpetual solar minimum conditions to isolate atmospheric perturbation effects. The simulations reveal three primary findings:
First, ionospheric day-to-day variability trends maximize at approximately ±1% of seasonal mean per decade, with stronger nighttime trends (±2%) than daytime (±1%). Second, geomantic secular variation dominates trends over the American-Atlantic sector, while increasing greenhouse gases (GHG) control the Asia-Pacific region patterns, producing negative mid-latitude trends with longitudinal wavenumber-4 structure. Third, the GHG-driven negative trend (approximately −0.8% per decade at mid-latitudes) correlates with weakening SE2 semidiurnal tidal day-to-day variability, suggesting tidal modulation as the underlying mechanism. These findings demonstrate that ionospheric weather-like variability undergoes significant long-term climate change impacts.
Mechanism for Sporadic E Enhancement During the May 2024 Geomagnetic Storm: TIEGCM Simulation
Lihui Qiu1, Huixin Liu2, Tingting Yu3,4,5 (2025) (link to paper)
1International Research Center for Space and Planetary Environmental Science (i‐SPES), Kyushu University, Fukuoka, Japan
2Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
3Key Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
4Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
5College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing, China
(Figure 4) Latitude-time distribution of vertical ion convergence (VIC) at 160°E at different altitudes. The white dashed arrows indicate the orientation of the VIC pattern ridges. The shadings at the top of figure indicate the main phase and recovery phase of this geomagnetic storm. 11.25–11.75 days correspond to 16:00 to 04:00 local time (Local time = Universal Time + 10 hr).
This study uses TIE-GCM model simulations to investigate sporadic E (Es) layer enhancement mechanisms during the May 2024 super geomagnetic storm (Dst minimum: −412 nT). The analysis examined vertical ion convergence (VIC)—a key indicator for Es layer formation—driven by neutral wind shear at 100–130 km altitude. The simulations reveal three primary effects:
First, VIC was significantly enhanced over East Asia-Australia and Pacific sectors within the 40°S–40°N latitude band, with enhancement patterns exhibiting clear "equatorward propagation" from high to low latitudes during the storm recovery phase. Second, VIC enhancement occurred predominantly during local nighttime (16:00–04:00 LT) and decreased with descending altitude due to increased ion-neutral collision frequencies. Third, zonal wind shear dominated the VIC enhancement, specifically through dramatically strengthened westward winds (exceeding 150 m/s at some altitudes) induced by storm-driven equatorward winds via Coriolis force. These findings demonstrate that super geomagnetic storm impacts extend into the mesosphere-lower thermosphere, modulating ionospheric E-region irregularities and affecting radio communications.
High-Latitude Joule Heating in TIE-GCM 3.0: Evaluation of Different Plasma Convection Forcing Models
Florian Günzkofer1, Hanli Liu2, Huixin Liu3, Gunter Stober,4,5 Gang Lu2, Haonan Wu2, Nicholas Bartel6, Frank Heymann1, Claudia Borries1(2025) (link to paper)
1Institute for Solar‐Terrestrial Physics, German Aerospace Center (DLR), Neustrelitz, Germany
2High Altitude Observatory, NSF National Center for Atmospheric Research, Boulder, CO, USA
3Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
4Institute of Applied Physics, Microwave Physics, University of Bern, Bern,
Switzerland
5Oeschger Center for Climate Change Research, Microwave Physics, University of Bern, Bern, Switzerland
6University of Colorado Boulder, Boulder, USA
(Figure 1) (a) Joule heating rate profiles for Thermosphere Ionosphere Electrodynamics General Circulation Model (TIE-GCM) 3.0 runs with 1.25° grid resolution. The profiles are binned by geomagnetic activity, and the median profile is shown for each bin. The EISCAT profile is calculated separately for each model run, and the mean EISCAT profile is shown. Ratio of Joule heating rates in (b)1.25° and 2.5° grid resolution runs and (c) TIE-GCM 3.0 and 2.0 runs (both with 2.5° grid resolution).
This study systematically evaluates high-latitude Joule heating in the recently released TIE-GCM version 3.0 model by comparison with EISCAT incoherent scatter radar measurements from two September campaigns (2005 and 2009). The analysis tested multiple convection forcing models under varying geomagnetic activity levels (low: Kp < 2, moderate: 2 < Kp < 6, high: Kp > 6). The simulations reveal four primary effects:
First, data-assimilated convection models (AMIE and AMGeO) improved agreement with EISCAT-derived Joule heating rates by 8%, 28%, and 54% for low, moderate, and high geomagnetic activity compared to empirical models (Heelis and Weimer). Second, increasing horizontal grid resolution from 2.5° to 1.25° produced approximately 20% higher Joule heating rates across all activity levels. Third, AMIE-driven runs better reproduced the magnitude of heating rates, while AMGeO-driven runs captured the vertical profile shape more accurately. Fourth, internal model time step resolution (ranging from 1 to 30 seconds) had no measurable effect on Joule heating calculations. These findings establish best practices for modeling high-latitude energy inputs in thermosphere-ionosphere systems.
The Ionospheric Responses During the 2020-2021 SSW from Multiple Simultaneous Observations
Han Ma1,2,3, Libo Liu1,2,4, Huixin Liu3, Ruilong Zhang1,2,4, Tingting Yu1,4,5, Yifan Qi6, Tingwei Han1,4, Lihui Qiu3, Rongjin Du1,4, Huijun Le1,2,4, Yiding Chen1,4,5 (2025) (link to paper)
1Key Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
2Heilongjiang Mohe Observatory of Geophysics, Institute of Geology and Geophysics, of Sciences, Beijing, China
3Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
4College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing, China
5Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
6Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan, China
(Figure 5) The evolution of ΣO/N2 averaged over the longitudes (90°W–0°) by GOLD during daytime (SZA< 80°).The vertical dashed line denotes the SSW onset.
This study uses multiple simultaneous observations (ICON, GOLD, COSMIC-2, GPS-TEC) to investigate ionospheric responses during the January 2021 sudden stratospheric warming (SSW) event at equatorial and low latitudes. Unlike typical SSW events, the observations reveal three primary effects:
First, ionospheric peak electron density (NmF2) and total electron content (TEC) decreased during both morning and afternoon periods without the typical semi-diurnal variations observed in other SSW events. Second, this depletion was primarily driven by reductions in the column O/N₂ ratio (decreasing by 9.3–17.2% depending on latitude) and solar radiation (F10.7 declined ~10%), rather than conventional E × B drift or neutral wind transport mechanisms. Third, thermospheric observations revealed enhanced SW2 (10–15 m/s increase) and M2 (5–8 m/s increase) tidal amplitudes after SSW onset, suggesting enhanced tidal "mixing effects" that increased downward atomic oxygen transport. These findings highlight composition-driven coupling processes as the dominant mechanism during this SSW event.
Neutral Composistion and Temperature Response to the January 2021 SSW in the F-Region Observed by ICON
Tingting Yu1,2,3,4, Huixin Liu4, Zhipeng Ren1,2,3, Han Ma1,2,3,4 , Shaoyang Li1,2,3 (2025) (link to paper)
1Key Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
2Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
3College of Earth and Planetary Sciences, University of the Chinese Academy of Sciences, Beijing, China
4Department of Earth and Planetary Science, Kyushu University, Fukuoka, Japan
(Figure 8) (a) Altitude (pressure level, ln(P₀/P) equals to 0 to 4) and LT distribution of latitude mean ICON/MSIS in O, N₂ number density, temperature and O/N₂ during quiet time (December 2020; left column), during SSW event (January 2021; middle column) and the differences (SSW-quiet, right column). (b) SSW-driven percentage changes in O, N₂ and temperature estimated by MSIS. The gray curves indicate zero values.
This study uses ICON satellite observations to investigate how Earth's F-region thermosphere (200–400 km altitude) responds to the January 2021 sudden stratospheric warming (SSW) event at middle-low latitudes. Two atmospheric models (NRLMSISE-00 and TIEGCM) served as baselines to isolate SSW-driven changes from seasonal variations. The observations reveal three primary effects: First, atomic oxygen density decreased in the middle thermosphere but increased in the upper thermosphere during afternoon hours, with transition levels varying by local time and latitude—governed by the balance between upwelling (causing decreases) and adiabatic cooling (causing increases). Second, molecular nitrogen density increased at all altitudes, with enhancements growing stronger at higher altitudes (up to 15–20%). Third, neutral temperature decreased throughout the F-region, particularly in morning sectors (approximately 5–6% cooling), supporting previous thermospheric cooling predictions. These altitude-dependent composition and temperature changes demonstrate strong vertical coupling during SSW events.
Upper Atmosphere Responses to IPCC's Worst Scenario of CO2 Increase in the 21st Century
Han Ma1,2, Huixin Liu, Hanli Liu3, Libo Liu4 (2025) (link to paper)
1Key Laboratory of Planetary Science and Frontier Technology, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
2Heilongjiang Mohe Observatory of Geophysics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
3High Altitude Observatory, National Center for Atmospheric Research, Boulder, CO, USA
4College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China
(Figure 2) The latitude‐height distribution of parameters in 2008 (the top panels) and their responses to tripled CO2 emission (the bottom panels) in June. These normalized data are a series of zonal mean value at fixed altitude and latitude. (a1, a2): atmospheric temperature (T) and its response (∆T); (b1, b2): neutral mass density (ρ) and its response (∆ρ); (c1, c2): electron density (Ne) and its response (∆Ne). The symbol “∆” represents the difference of normalized data: Y (2088)‐Y (2008).
This study uses a sophisticated climate model (CESM2/WACCM-X) to predict how Earth's upper atmosphere (100–500 km altitude) will respond to a worst-case CO₂ increase scenario by 2090, where concentrations nearly triple from ~350 ppm to ~1,000 ppm. The simulations reveal three primary effects:
First, thermospheric temperature, neutral density, and electron density decrease overall due to CO₂'s cooling effect, with electron density showing a transition from increase to decrease above ~220 km altitude. Second, the north-south (meridional) wind circulation accelerates by 5–10 m/s, especially during June, indicating a faster global wind pattern. Third, atmospheric tides—24-hour cycles weaken above 200 km but strengthen below it, while 12-hour cycles weaken throughout the thermosphere. These dynamical changes align with predictions from another model (GAIA), confirming that CO₂-induced cooling accelerates upper-atmospheric circulation. The findings help anticipate impacts on satellites, navigation systems, and space weather.
Impact of Increasing Greenhouse Gases on the Ionosphere and Thermosphere Response to a May 2024‐Like Geomagnetic Superstorm
Nicholas M. Pedatella1,2, Huixin Liu, Hanli Liu1, Adam Herrington3, Joseph McInerney1 (2025) (link to paper)
1High Altitude Observatory, NSF National Center for Atmospheric Research, Boulder, CO, USA
2COSMIC Program Office, University Center for Atmospheric Research, Boulder, CO, USA
3Climate and Global Dynamics Laboratory, NSF National Center for Atmospheric Research, Boulder, CO, USA
(Figure 4) Storm‐time change in total electron content (ΔTEC) in (a) 2016, (b) 2040, (c) 2061, and (d) 2084. The ΔTEC is calculated as the difference between the TEC on May 11 and the average TEC on May 8–9. Difference in the magnitude of the storm‐time change from the 2016 baseline in (e) 2040, (f) 2061, and (g) 2084. (h–n) Same as (a–g) except the results are for the relative storm‐time change in TEC.
Using the Community Earth System Model with thermosphere-ionosphere extension (CESM WACCM-X), this study investigates how increasing greenhouse gas concentrations affect the ionosphere and thermosphere's response to geomagnetic storms. The May 2024 geomagnetic superstorm is simulated under four different CO2 scenarios, ranging from present-day levels (403 ppmv) to nearly doubled concentrations (918 ppmv) projected for 2084. The results show that higher CO2 concentrations significantly weaken the absolute response of both the ionosphere and thermosphere to geomagnetic storms. Specifically, the thermosphere neutral density response decreases by 20-25% and the ionospheric response weakens by up to 50% as CO2 levels increase from current to future projected levels. However, when expressed as relative changes compared to background conditions, the storm responses actually strengthen with higher CO2 concentrations, primarily because the background neutral densities become much smaller in a high-CO2 atmosphere. The weakening absolute response occurs due to reduced Joule heating at higher altitudes, which is the primary energy source driving storm-time changes in the upper atmosphere. This study provides the first comprehensive assessment of how climate change may alter space weather impacts on Earth's upper atmosphere.
This paper has received much attention from the public. Here are links from CNN, Astronomy, and NCAR.
https://www.astronomy.com/science/satellites-face-new-challenges-from-solar-storms/
https://edition.cnn.com/2025/08/14/climate/solar-storms-satellites-global-warming
https://news.ucar.edu/133035/atmosphere-changes-so-will-its-response-geomagnetic-storms
https://www.kyushu-u.ac.jp/f/63050/2508_Huixin_climate_change_geomagnetic_storms_UCAR_new.pdf
Sporadic-E layer responses to super geomagnetic storm 10-12 May 2024
Lihui Qiu, Huixin Liu (2025) (link to paper)
(Figure 1) Geographical distribution of the (a) daily averaged Es layer intensity derived from S4 data, (b) daily averaged Es layer intensity derived from S4 data on 11 May, (c) Es layer perturbation on 11 May. (d-f) is the same as Figure a-c, but for SNR data. The magnetic equator is indicated as a red dashed curve.
Using 37 ground-based ionosondes distributed globally and space-based COSMIC-2 radio occultation observations, this study investigates the responses of Es layers to the May 2024 super geomagnetic storm. The results show that Es layers were significantly enhanced during the recovery phase of geomagnetic storm. In addition, the enhanced Es layers mainly occurred over Southeast Asia, Australia, the South Pacific and the East Pacific. The temporal evolution of foEs disturbances over the Asian-Australian sector clearly shows the “wave propagation” characteristics from high to low latitudes, indicating that the enhancements of the Es layers are most likely caused by the disturbed neutral winds in the E region. This study presents observational evidence for the downward impacts of the geomagnetic storm on the E-region ionosphere.
Generation Of Quasi-periodic Dayside Medium Scale Traveling Ionospheric Disturbances (MSTIDs) By Intermittent Lobe Reconnection
Yating Xiong1 , Huixin Liu, Run Shi1 , Zanyang Xing2 , Sheng Lu2 , Qiang Zhang1 , Zhiwei Wang1 , Desheng Han1 (2025) (link to paper)
1State Key Laboratory of Marine Geology, School of Ocean and Earth Science, Tongji University, Shanghai, China
2Shandong Provincial Key Laboratory of Optical Astronomy and Solar-Terrestrial Environment, Institute of Space Sciences, Shandong University, China
(Figure) (a-b) Polar projections of the fields of view (FOVs) of Hankasalmi radar and EISCAT Svalbard radar at 09:00 and 13:00 UT on 14 December 2012. The blue fan-shaped area represents the FOV of Hankasalmi radar beam 7. The green straight line shows the FOV of the EISCAT Svalbard radar Longyearbyen 32M, and the red five-pointed star marks the position of the EISCAT Svalbard radar. (c) Variations of the interplanetary magnetic field components BX(blue), BY (red), and BZ (black) between 08:00 and 13:00 UT. (d, e) The range-time plot of velocity and power (negative away, poleward from radar) observed by beam 7 of Hankasalmi radar in channel A on the same day.
The Medium-Scale Traveling Ionospheric Disturbances (MSTIDs) can be excited by many sources. Among those magnetic reconnections has been proposed as a potential driver for dayside MSTIDs, but direct evidence has been limited. Using ground-based radar data from the Super Dual Auroral Radar Network on December 14, 2012, we observed quasi-periodic multiple MSTIDs propagating from auroral latitudes to mid latitudes near magnetic local noon, which showed one-to-one correspondences to intermittent lobe reconnections with periodicities of about 20–30 minutes. Simultaneous EISCAT Svalbard incoherent scatter radar data revealed enhanced electric field and Joule heating within the cusp region following each lobe reconnection. These multi-instrument observations strongly suggest lobe reconnection as a possible driver for the dayside MSTID.
Modelling of three-dimensional structure and dynamics of the large-scale sporadic E layers over East Asia
Lihui Qiu, Huixin Liu (2025) (link to paper)
(Figure 1) An example of the 2-D slices of Fe+ density derived from the Es layer model, i.e., (a) horizontal slices, (c) longitudinal slices, and (d) latitudinal slices. (b) Same as Figure 3a, but at an altitude range of 100-125 km in order to show more details.
Using the Fe+ layer as a proxy for Es layer, in this study, we investigated the structural and dynamic characteristics of the large-scale Es layers extending thousands of kilometers over East Asia by using a 3-D Es layer numerical model driven by neutral winds from the Whole Atmosphere Community Climate Model with thermosphere and ionosphere eXtension model (WACCM-X). The simulation results show that the Es layer is a tilted blanket rather than a narrow flat band. In addition, the Es layers mainly occur in the 3-D spatial position of the convergent vertical wind shear. The apparent horizontal velocity (~300-400 m/s) of Es structure is mostly westward and northward, which is different from the ion drift velocity (~100 m/s). This indicates that Es structure can develop rapidly over a large area simultaneously rather than drifting from one location to the next. COSMIC targets the locations of Es layers with all intensities that including much smaller intensity at a given time from a global perspective. The migration speed of hotspot of Es layer occurrence recorded by COSMIC satellites matches the apparent velocity. The GNSS receivers track the dense ion clusters (foEs > 14 MHz) to measure the drift direction and speed of extremely strong Es layer, which matches the ion drift velocity.
Wave Spectral Changes in the Thermosphere and Ionosphere Related to the PEDE 2018 Dust Event on Mars Observed by MAVEN NGIMS
Noritsugu Nagata, Huixin Liu, Hiromu Nakagawa* (2025) (link to paper)
*Graduate School of Science, Tohoku University, Sendai, Japan
(Figure 5) The occurrence rate of apparent wavelengths for each species obtained during two periods : the low-dust period (upper) and the global dust period (lower), where altitudes between 165 and 205 km, X-bin is on a log scale
In 2018, Mars experienced a Planet Encircling Dust Event (PEDE-2018), which had significant impacts on the atmosphere. In this study, we examined changes in wave signatures (amplitudes and apparent wavelengths) associated with PEDE-2018. In-situ density measurements from the NGIMS (Neutral and Ion Gass Mass Spectrometer) instrument on MAVEN spacecraft allowed us to analyze densities of both neutrals and ions, providing insights into ion-neutral coupling in the upper atmosphere. As shown in Figure 5, we found that the rates of larger wavelengths enhanced during PEDE-2018 for both neutrals and ions (wavelengths are apparent along MAVEN trajectory, with a much larger horizontal than vertical scale). Moreover, high correlations among the wavelengths of various species (Figure 6, not shown here) were derived under both low-dust and PEDE-2018 conditions, may implying ion-neutral coupling and common dominant wave sources.
The Earth's upper atmosphere is the region between 100 and 1000 km in altitude where space stations, satellites, and rockets fly, and is considered the gateway to space. Because of its low density, it is a near-earth space region that exhibits complex behavior under the influence of both the sun and the lower atmosphere. It is a weakly ionized gas (plasma) due to ultraviolet radiation from the sun, and at the same time, it is a very dilute and hot atmosphere. The "ionosphere" is the name given to the weakly ionized gas, while the "thermosphere" is the name given to the dilute and hot atmosphere. The ionosphere has a direct impact on wireless communications, and the thermosphere has a direct impact on satellite orbits, so research in this area is called "space weather" and is closely related to modern social infrastructure. This research focuses on the three coupling processes in space weather with the keyword of "coupling between domains".
① Sun-driven space weather: Ionospheric and thermospheric disturbances caused by solar flares and large magnetic storms
② Atmosphere-Plasma Interaction in Weakly Ionized Media: Ionosphere-Thermosphere Coupling
③ Space weather driven by meteorological phenomena
The global fist motion of the thermospheric atmosphere associated with a large magnetic storm and a strong X17 class solar flare was shown from the observations of accelerometers onboard the satellite. The density variation of the thermospheric atmosphere associated with the magnetic storm and the propagation of the heated atmosphere in the polar region to the equatorial region were clarified. The thermospheric variability is considered to be a major contribution to space weather research because it shows the "diversity of the thermospheric atmosphere," which means that even if the external factors are the same, the subsequent variability depends on the state of the thermospheric atmosphere at that time.
The thermosphere, which is the neutral atmosphere that makes up most of the upper atmosphere, was generally believed to be "unaffected by magnetic fields. However, our papers published in 2005 and 2006 have changed this perception. By using the world's first high-precision accelerometer, which precisely measures gravity onboard a satellite, for thermospheric observations, we discovered anomalous thermospheric density anomalies (EMA) and thermospheric wind jets in the magnetic equatorial region. These discoveries revealed for the first time that the magnetic field dominates the behavior of the neutral atmosphere through atmosphere-plasma interaction, and provided a new perspective on thermospheric ionospheric dynamics. In addition, the accelerometer-based thermospheric observation method developed from our research has greatly stimulated research in the difficult-to-observe thermospheric region, and has become a pillar of upper atmosphere research in recent decades. This has stimulated research in the thermospheric region, which is difficult to observe.
In recent years, the study of atmospheric vertical coupling across the supercells and meteorological regions has made rapid progress due to the improved accuracy of ionospheric and thermospheric observations. Atmospheric waves originating from the lower atmosphere increase in amplitude as they propagate upward and decrease in atmospheric density, causing large fluctuations in the upper atmosphere (Fig. 2). For example, atmospheric tidal waves originating from the troposphere propagate up to several hundred kilometers above the surface, forming an ionospheric and thermospheric structure similar to the land/sea distribution of topography.(Paper 24,27)In addition, stratospheric sudden warming (SSW) causes ionospheric variability (ii, iii) and thermospheric cooling phenomena due to the interaction of planetary and tidal waves.(Paper 11,17,20,21)These studies suggest a spatio-temporal coupling between meteorological phenomena and cosmic phenomena at very high altitudes, and are being strongly promoted internationally as a new academic theme for global interdisciplinary research. We are also studying vertical coupling processes in the El Niño-Southern Oscillation, which is longer than the time scale, and in tropospheric convection, which is shorter.