Xiaofeng Xu

Dr. Xiaofeng Xu


Research Focus & Metrics

Academic Career Length

10Years (2017-Present)

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

Representative Publications

View All Publications
1 May 2021 in Atmospheric Environment
Verified
Journal Article
Closed access
XFXue Feng
Xue Feng
JWJiandong Wang
Jiandong Wang
STShiwen Teng
Shiwen Teng
XXXiaofeng Xu
Xiaofeng Xu
BZBin Zhu
Bin Zhu
Chao LiuChao Liu
Chao Liu

1 March 2019 in Science of The Total Environment
Verified
Journal Article
Closed access
YYYifan Yang
Yifan Yang
XXXiaofeng Xu
Xiaofeng Xu
YZYunjiang Zhang
Yunjiang Zhang
SZShanshan Zheng
Shanshan Zheng
LWLingrui Wang
Lingrui Wang
LTLili Tang
Lili Tang

26 July 2023 in Atmospheric Research
Verified
Journal Article
Closed access
ZXZixu Xiong
Zixu Xiong
XXXiaofeng Xu
Xiaofeng Xu
YYYudi Yang
Yudi Yang
TLTianyang Luo
Tianyang Luo

21 September 2022 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
AMAbou Bakr Merdji
Abou Bakr Merdji
XXXiaofeng Xu
Xiaofeng Xu
CLChunsong Lu
Chunsong Lu
BHBirhanu Asmerom Habtemicheal
Birhanu Asmerom Habtemicheal
JLJunjun Li
Junjun Li

15 December 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
XXXiaofeng Xu
Xiaofeng Xu
YYYudi Yang
Yudi Yang
ZXZixu Xiong
Zixu Xiong
JGJianming Gong
Jianming Gong
TLTianyang Luo
Tianyang Luo
Dust plays a very important role in the Earth’s climate system by its direct and indirect effects. Deserts in northwestern China contribute a large amount of dust particles, both inland and outside, while the vertical distribution and transport mechanism of dust still have many uncertainties. Using Level 3 cloud-free monthly aerosol products of the Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) system from 2007 to 2020, we analyzed the spatial and temporal variations and transport features for dust and polluted dust aerosols over China and the surrounding areas. The results show that the Taklimakan Desert (TD) and the Thar Desert (TRD) always act as the high-value centers of dust optical depth (DOD), while the centers of polluted dust optical depth (PDOD) are located in eastern China, the Sichuan Basin and the Indian subcontinent. The DOD shows an increasing trend in most areas, while the PDOD presents a significant decrease and increase in eastern China and central India, respectively. The largest DOD appears in spring over the TD and the Gobi Desert (GD), while the largest DOD in summer is over the TRD. Although most dusts in the TD and TRD are concentrated below 4 km, they may be higher over the TD. Most of the polluted dusts are confined to under 2 km. The dust input to the Tibetan Plateau (TP) could come from both the TD and TRD and occurs mostly in spring and summer, respectively. The polluted dusts of South Asia and the Indian subcontinent are mostly contained in the boundary layer in winter, but they could extend much higher in spring and summer, which favors their transport into southwestern China. The dust layer shows apparent seasonality. Its top reaches a higher level in spring and summer, while the base stays at a similar height in all seasons. The dust layer appears to be the thickest in spring over most areas, while the thickest layer in summer is over the TD and TRD. The polluted dust layer is thickest in the Indian subcontinent in spring. The overlapping of dust and polluted dust layers present different patterns in different regions, which suggests diverse mixture processes of dusts and pollutants. Finally, we compared and found different influences of meteorological factors, such as wind field, boundary layer height and precipitation, on the variations in DOD and PDOD over dust sources and other areas.

19 January 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
XXXiaofeng Xu
Xiaofeng Xu
SPShixian Pan
Shixian Pan
TLTianyang Luo
Tianyang Luo
YYYudi Yang
Yudi Yang
ZXZixu Xiong
Zixu Xiong
The spatial and temporal distributions of dust aerosol and its radiative heating effect over Taklimakan Desert (TD) and Tibetan Plateau (TP) were analyzed using the CALIPSO aerosol products and the SBDART model during 2007–2020. The annual dust aerosol optical depths (DAOD at 532 nm) ranged from 0.266 to 0.318 over TD and 0.086 to 0.108 over TP, with means of 0.286 ± 0.015 and 0.097 ± 0.006, respectively. The regional mean DAODs of TD (TP) from spring to winter were 0.375 ± 0.020 (0.107 ± 0.010), 0.334 ± 0.028 (0.110 ± 0.010), 0.235 ± 0.026 (0.071 ± 0.008), and 0.212 ± 0.045 (0.083 ± 0.011), respectively. The maximal (minimal) seasonal DAOD of TD appeared in spring (winter), while that of TP appeared in summer (autumn). Although neither the annual nor the seasonal DAODs showed a statistically significant trend over both TD and TP, their yearly fluctuations were apparent, showing coefficients of variation of 0.053 and 0.065 over TD and TP, respectively. The profile of dust extinction coefficient (σD) showed the maximum in spring and summer over TD and TP, respectively. It showed a weak increasing trend of σD over both TD and TP in spring, but a decreasing trend in autumn. The dust of TD is concentrated within 1–4 km, where the annual averaged shortwave (SW) dust heating rates (DHRs) were larger than 2 K·day−1 from March to September. Over TP, the dust heating layer with SW DHR > 2 K·day−1 ranged from 3 to 4 km during March to June. The SW DHR was much larger in spring and summer than in the other two seasons over both regions, with the maximum in spring. A relatively strong dust heating layer with top >5 km appeared along the north slope of the TP, indicating an important energy transport channel from TD to TP, especially in spring and summer. It showed an increasing trend of the SW DHR over both TD and TP in spring and winter, but a decreasing trend in summer and autumn. Over TD, the most powerful heating appeared within 2–4 km, but the strength and the area of high-value DHR reduced from spring to winter. The highest SW DHR of TP appeared over the Qaidam Basin, acting as an important transmission channel of dust and its heating. For the columnar mean of lower than 10 km, the annual mean DHRs of TD and TP were 0.93 and 0.48 K⋅day−1, respectively. Although the DAOD and DHR of TP were both lower, its shortwave dust heating efficiency (DHE) was 1.7 times that of TD, which suggested that the same amount of dust imported to TP could generate a stronger heating effect than it did at the source.