Fan Yi

Dr. Fan Yi


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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13 January 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
HLHaiyan Li
Haiyan Li
JZJian Zhang
Jian Zhang
BSBosi Sheng
Bosi Sheng
FYFan Yi
Fan Yi
XJXuanting Ji
Xuanting Ji
Qingxiang LiQingxiang Li
Qingxiang Li
The westerly phase of the stratospheric Quasi-Biennial Oscillation (QBO) was unprecedentedly interrupted by an easterly jet at around 22 km during boreal wintertime in 2015/2016 and 2019/2020. Many studies have investigated the role of planetary waves during these disruptions. However, the behavior of gravity waves (GWs) during these disruptions is still unclear. In this paper, we investigated the characteristics of stratospheric GWs during QBO disruptions by analyzing the U.S. high-resolution radiosonde data from 1998 to 2021 from three equatorial stations. The disruptions were separated into three stages: the westerly zonal wind decreasing stage, the easterly zonal wind developing stage, and the westerly zonal wind recovery stage. Notably, the tropical stratospheric GWs’ total energy densities were enhanced during all three stages of both events compared to those in typical years. The low-tropospheric convection, the middle-tropospheric jet, and the low-stratospheric vertical wind shear were statistically associated with the stratospheric GW variations. A quantitative analysis further indicated that the low-tropospheric convection activity, tropospheric jets, and wind shears in the lower stratosphere could well explain the variations in the stratospheric GWs in the westerly zonal wind decreasing and easterly zonal wind developing stages by applying a partial least squares regress analysis.

13 April 2022 in Journal of Geophysical Research: Space Physics
Verified
Journal Article
Closed access
FYFan Yi
Fan Yi
CHChunming Huang
Chunming Huang
SZShaodong Zhang
Shaodong Zhang
Kaiming HuangKaiming Huang
Kaiming Huang
Yun GongYun Gong
Yun Gong

30 June 2019 in IEEJ Transactions on Electrical and Electronic Engineering
Verified
Journal Article
Closed access
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JRJiangjun Ruan
Jiangjun Ruan
LTLiezheng Tang
Liezheng Tang
RCRou Chen
Rou Chen
TLTiecheng Li
Tiecheng Li
ZYZhifei Yang
Zhifei Yang
FYFan Yi
Fan Yi

31 January 2024 in Remote Sensing
Verified
Journal Article
Open access
PDF file
JWJunfeng Wei
Junfeng Wei
LLLinmei Liu
Linmei Liu
CXCheng Xuewu
Cheng Xuewu
FYFan Yi
Fan Yi
WZWeiqiang Zhan
Weiqiang Zhan
GYGuotao YANG
Guotao YANG
A prediction system was developed to determine the maximum Rayleigh altitude (MRA) by improving the automated detection of LIDAR power-on conditions and adapting to advancements in middle- and upper-atmosphere LIDAR technology. The proposed system was developed using observational data and nighttime sky imagery collected from multiple LIDAR stations. To assess the accuracy of predictions, three key parameters were employed: mean square error, root mean square error, and mean absolute error. Among the three prediction models created through multivariate regression and autoregressive integrated moving average (ARIMA) analyses, the most suitable model was selected for predicting the MRA. One-month predictions demonstrated the accuracy of the MRA with a maximum error of no more than 5 km and an average error of less than 2 km. This technology has been successfully implemented in numerous LIDAR stations, enhancing their automation capabilities and providing key technical support for large-scale, unmanned, and operational deployments in the middle- and upper-atmosphere LIDAR systems.

21 April 2022 in Atmosphere
Verified
Journal Article
Open access
PDF file
LYLingyun Yang
Lingyun Yang
CHChunming Huang
Chunming Huang
SZShaodong Zhang
Shaodong Zhang
Kaiming HuangKaiming Huang
Kaiming Huang
Yun GongYun Gong
Yun Gong
FYFan Yi
Fan Yi
Although the characteristics of the traveling 10-day waves (10DWs) above the middle stratosphere have been well explored, little research has been performed on the counterpart in the troposphere and lower stratosphere (TLS). In the present study, we use radiosonde observations and MERRA-2 data from 2020 to characterize traveling 10DWs in mid-latitudes in the TLS. Single-site observations in both hemispheres show that strong 10DW activities are always accompanied by strong eastward jets (10–13 km). MERRA-2 data indicate that in the troposphere, the eastward-propagating modes with larger wavenumbers, i.e., E3, E4, E5 and E6 are dominant, while in the lower stratosphere, the eastward- and westward-propagating modes with small zonal wavenumbers, e.g., 1 and 2, are dominant. Further research on E3, E4, E5 and E6 modes in the troposphere of both hemispheres shows that all the wave activities are positively correlated to the background zonal wind. The refractive index squared reveals that a strong eastward jet is suitable for these four modes to propagate. However, just above the jet, the eastward wind decreases with altitude, and a thick evanescence region emerges above 15 km. E3, E4, E5 and E6 10DWs cannot propagate upward across the tropopause; as such, this can explain why these four modes are weak or even indiscernible in the stratosphere and above. In the troposphere, E5 10DW at 32° S was the most dominant mode in 2020. A case study of the anomalously strong E5 10DW activity on 12 May 2020 indicates that the wave amplification resulted from the upward and equatorward transmission of wave energy flows. Moreover, the tropopause and equatorial region can prevent the propagations of wave energy flows of E5 10DW. The upward-propagating wave energy is deposited near the tropopause, resulting in significant short-term variability in the tropopause height.