Yihui Cai

Dr. Yihui Cai

orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
23 August 2022 in Journal of Geophysical Research: Space Physics
Verified
Journal Article
Open access
XYXinan Yue
Xinan Yue
WWWeixing Wan
Weixing Wan
BNBaiqi Ning
Baiqi Ning
LJLin Jin
Lin Jin
FDFeng Ding
Feng Ding
FLFanyu Liu
Fanyu Liu
Led by the Institute of Geology and Geophysics, Chinese Academy of Sciences, we have built a brand‐new modular active digital phased array, with all solid‐state transmission and digital receiving incoherent scatter radar (ISR) in Sanya (18.3°N, 109.6°E), a station in low latitude China called Sanya ISR (SYISR) since 2015. The development of SYISR involved the indoor design and development of key components, an outdoor prototype test, and the production and debugging of the entire array. The unique features of SYISR include a single‐channel directly connected T/R unit and antenna, a radar array monitoring and calibration network, environmental adaptability design and open architecture. The entire radar has 4,096 channels and 5,930 modules in total. All the technical indices, mainly including a >2 MW peak power, a 43 dBi antenna gain and a <120 K noise temperature, either meet or are superior to the designed value through an independent evaluation. Waveforms of single pulse, linear frequency modulation, Barker code, long pulse and alternating code have been implemented to meet multiple purposes. Four observational modes for ionospheric experiments, including zenith stare, perpendicular to geomagnetic field, meridian scan, and all sky scan, have been developed. We have implemented time domain decoding, frequency domain decoding, and statistical inversion methods in calculating the autocorrelation function and power spectra in signal processing. The preliminary experimental results on ionospheric parameters, plasma lines, irregularities and hard targets are reasonable and encouraging, which greatly enhances our confidence in achieving our scientific goals in the future.

13 February 2025 in AGU Advances
Verified
Journal Article
Open access
Fuqing HuangFuqing Huang
Fuqing Huang
JLJiuhou Lei
Jiuhou Lei
XYXinan Yue
Xinan Yue
ZLZhongli Li
Zhongli Li
NZNing Zhang
Ning Zhang
XLXiaoli Luan
Xiaoli Luan
The strongest geomagnetic storm in the preceding two decades occurred in May 2024. Over these years, ground‐based observational capabilities have been significantly enhanced to monitor the ionospheric weather. Notably, the newly established Sanya incoherent scatter radar (SYISR) (Yue, Wan, Ning, & Jin, 2022, https://doi.org/10.1038/s41550‐022‐01684‐1), one of the critical infrastructures of the Chinese “Meridian Project,” provides multiple parameter measurements in the upper atmosphere at low latitudes over Asian longitudies. Unique ionospheric changes on superstorm day 11 May were first recorded by the SYISR experiments and the geostationary satellite (GEO) total electron content (TEC) network over the Asian sector. The electron density or TEC displayed wavelike structures rather than a regular diurnal pattern. Surprisingly, two humps, a common feature in the daytime equatorial ionization anomaly structure, disappeared. The SYISR observations revealed that multiple wind surges accompanied the downward phase propagation caused by atmospheric gravity waves (AGWs) originating from auroral zones. Meanwhile, strong upward and large downward drifts were respectively observed in the daytime and around sunset. The Thermosphere‐Ionosphere Electrodynamics Global Circulation Model (TIEGCM) simulations demonstrated that abnormal ionospheric changes were attributed to meridional wind disturbances associated with AGWs and recurrent penetration electric fields corresponding to larger Bz southward excursions and disturbance dynamo. The complicated interplay between AGWs and disturbance electric fields contributed to this unique ionospheric variation.

28 December 2019 in Journal of Geophysical Research: Space Physics
Verified
Journal Article
Open access
PDF file
YCYihui Cai
Yihui Cai
XYXinan Yue
Xinan Yue
WWWenbin Wang
Wenbin Wang
SZShunrong Zhang
Shunrong Zhang
LLLibo Liu
Libo Liu
WWWeixing Wan
Weixing Wan
In recent decades, significant efforts have been made to characterize and understand the global pattern of ionospheric long‐term trend. However, little attention has been paid to the topside ionosphere trend. In this study, the unique in situ data measured by series Defense Meteorological Satellite Program (DMSP) satellites were utilized to derive the long‐term trend of the topside ionosphere for the first time. We checked carefully data quality, gap, and consistency between different satellites for both electron density and ion temperature, and compared the techniques of artificial neuron network (ANN) and multiple linear regression methods for deriving the trend. The electron density (Ne) trend in the middle and low latitudes at ~860 km around 18 MLT was derived using the ANN method from 1995–2017. The trend from DMSP observations has a mean magnitude ranging from ~ − 2% to ~2% per decade, with clear seasonal, latitude and longitude variations. The derived trend was evaluated by directly comparing with the simulated trend at 500 km from the NCAR‐TIEGCM driven by realistic changes of CO2 level and geomagnetic field. The observed and simulated trends have similar geographic distribution patterns at 18 MLT. The good agreement between the observed trend around 860 km and the simulated trend near 500 km implies that the physical processes controlling the Ne trends above the peak height might be identical. Further control simulations show that the geomagnetic field secular variation is the dominant factor of the electron density trend at around 500 km, rather than the CO2 long‐term enhancement.

12 September 2018 in Journal of Geophysical Research: Space Physics
Verified
Journal Article
Open access
PDF file
JGJiawei Gao
Jiawei Gao
ZRZhaojin Rong
Zhaojin Rong
YCYihui Cai
Yihui Cai
ALA. T. Y. Lui
A. T. Y. Lui
APA. A. Petrukovich
A. A. Petrukovich
WWW. X. Wan
W. X. Wan
Flapping motion of the current sheets of planetary magnetotails is a common dynamic phenomenon. Previous studies of the Earth's magnetotail suggest that its flapping motion has two forms, that is, kink‐like flapping that can propagate as waves toward both flanks and steady flapping that moves up and down but does not propagate. Although some models have been proposed to explain the kink‐like flapping, its mechanism remains unclear. This paper surveys 87 flapping events statistically with respect to their flapping types, using the multipoint measurements of Cluster. The statistical results show that the up‐down steady flapping events tend to occur around the midnight region, and the kink‐like flapping events tend to occur near both flanks of the magnetotail. Thus, we propose that kink‐like flapping motion is causally related to steady flapping motion; that is, the up and down motion of steady flapping around the midnight region induces kink‐like flapping waves, which propagate toward both flanks of the magnetotail.

16 February 2022 in Geophysical Research Letters
Verified
Journal Article
Open access
PDF file
XZXu Zhou
Xu Zhou
XYXinan Yue
Xinan Yue
ZRZhipeng Ren
Zhipeng Ren
YLYunbo Liu
Yunbo Liu
YCYihui Cai
Yihui Cai
YWYong Wei
Yong Wei
In this work, we examine the impact of increased anthropogenic emissions on equatorial plasma bubble (EPB) occurrence by modeling the growth rate of Rayleigh‐Taylor (R‐T) instability (), which is closely related to EPB generation. Using the global coupled ionosphere‐thermosphere‐electrodynamics model‐institute of geology and geophysics, Chinese Academy of Sciences model, is calculated under three different CO2 emission levels. As CO2 increases, significantly increases at low altitudes (<∼260 km) and decreases at high altitudes (>∼320 km). In the altitudes in between, increases (decreases) before (after) midnight. Longitudinal variability of the change is manifested apparently above ∼280 km, while it is insignificant for low altitudes. Term analysis revealed that changes in the gravity term and the electric‐field term are the main causes and that the neutral‐wind term is insignificant. The investigation indicates that increased anthropogenic emissions can change EPB occurrence and, in turn, the radio‐communication system and therefore influence modern technological systems, which is expected to be more serious in the future.

22 November 2022 in Journal of Geophysical Research: Space Physics
Verified
Journal Article
Open access
XYXinan Yue
Xinan Yue
YCYihui Cai
Yihui Cai
ZRZhipeng Ren
Zhipeng Ren
XZXu Zhou
Xu Zhou
YWYong Wei
Yong Wei
YPYongxin Pan
Yongxin Pan
To date, no natural media is available to derive the “ancient” ionosphere, so the current understanding of ionospheric long‐term trends mainly comes from analyzing ∼70 yr modern measurements supplemented by theoretical simulations. In this study, for the first time, we expanded the ionosphere simulation to the whole Holocene (9455 BCE to 2015 CE) using the Global Coupled Ionosphere‐Thermosphere‐Electrodynamics Model developed at the Institute of Geology and Geophysics, Chinese Academy of Sciences, driven by a realistic geomagnetic field, CO2 level, and solar activity, all of which are a combination of ancient media derivations and modern observations. Through a series of control runs, we found that the ionospheric oscillation of the global mean profile is characterized by a nonlinear variation versus geomagnetic field effect, a decrease (increase) above (below) ∼200 km due to CO2 increase, and violent oscillations in phase with changes in solar activity, with corresponding contributions of approximately 20%, 20%, and 60%, respectively. The CO2 effect became nonnegligible and even more significant after ∼1800 CE. The solar activity effect is marked by a frequently occurring grand solar minimum. The ionospheric characteristics show linear variations versus the dipole moment of the geomagnetic field, the CO2 level, and the F10.7 index, with the growth rate having significant local time and latitude variations. Our prediction shows that a 400 ppm CO2 increase will cause a global mean decrease of 1.2 MHz in foF2, 34 km in hmF2, and 4 tecu in TEC, which will directly influence radio wave communication.