1 2017.12- present, Researcher, Institute of Desert and Meteorology, Urumqi, Chinese Meteorological Administration,

2 2002.05 - 2017.12, Associate Researcher, Institute of Desert and Meteorology, Urumqi, Chinese Meteorological Administration

3 1992.08 – 2002.05, Xinjiang Meteorological Observatory

Atmospheric Sciences, with particular interest in

• Formation mechanisms of air pollution over complex terrain

• Foehn

• Orographically-driven mesoscale weather phenomena

1 Li X. et al.: Sub-topic: "The Role and Influence Mechanism of Meteorological Conditions on PM2.5 Heavy Pollution under Unique Slope-Gorge Terrain," under Project 1 "Evolution, Attribution, and Precise Source Tracing of PM2.5 Heavy Pollution in the Northern Slope Urban Agglomeration of Tianshan Mountains" (No. 2024YFC3713501) of the National Key R&D Program "Integrated Demonstration of Supporting Technologies for Air Pollution Prevention and Control in the Northern Slope Urban Agglomeration of Tianshan Mountains," 2024.11-2027.10.

2 Li X. et al.: Xinjiang Key Fund Project (No. 2024D01D33): "Formation and Dissipation Mechanisms of Heavy Pollution Weather in the Urumqi-Changji-Shihezi (U-Chang-Shi) Region and Its High-Precision Forecasting," 2024.10–2028.09. 

3 Li X. et al.: Ministry of Finance Renovation and Procurement Project (No. 2020302): "Mobile Integrated Atmospheric Environment Monitoring System for the Silk Road Economic Belt in Xinjiang," 2020.01–2021.12.

4 Li X. et al.: Industry Collaboration Project : "Establishment of a Meteorological Product Database for Ürümqi City and Enhanced Winter Observation (2024-27)," commissioned by Shanghai Jiao Tong University, 2023.11–2025.10.

5 Li X. et al.: The Central Scientific Research and Operational Project (IDM2020001): "Winter Boundary Layer Structure Detection Experiment in the Urumqi-Changji-Shihezi (U-Chang-Shi) Region on the Northern Slope of the Middle Tianshan Mountains (No. IDM2020001)," 2020.01–2022.12.

6 Li X. et al.: Industry Collaboration Project "Development of the Next-Generation CUACE Atmospheric Chemistry Model for Shihezi City" (No. SHZQX2019049), commissioned by Shihezi Meteorological Bureau, 2019.10–2020.09.

7 Li X. et al.: Industry Collaboration Project: "Regional Spatial Eco-environmental Assessment and 'Three Lines and One List' Initiative for Xinjiang Uygur Autonomous Region" (Commissioned by Xinjiang Department of Ecology and Environment), 2020.01- 2020.12.

8 Li X. et al.: National Natural Science Foundation of China (No. 41575011): “Research of the impact of sandwich foehn on the northern side of Tianshan Mountains on air pollution of the urban agglomeration,” 2016.01- 2019.12.

9 Li X. et al.: The Central Scientific Research and Operational Project (No. IDM201501): “The relation between the sandwich foehn and air pollution in Urumqi,” 2015.01-2017.12.

(* indicates corresponding author when not the first author)

[1] Li X., K. Zhao, S. Zhong, et al.. Evolution of Meteorological Conditions during a Heavy Air Pollution Event under the Influence of Shallow Foehn in Urumqi [J]. China. Advance in Atmospheric Sciences，2023, 40, 29-43.

[2] Li, X., X. Xia, S. Zhong, et al.. Shallow foehn on the northern leeside of Tianshan Mountains and its influence on atmospheric boundary layer over Urumqi, China — A climatological study [J]. Atmospheric Research, 2020, 240.

[3] Li X., X. Xia, L. Wang, et al.. The role of foehn in the formation of heavy air pollution events in Urumqi, China [J]. J. Geophys. Res. Atmos., 2015, 120, 5371–5384, doi: 10.1002/2014JD022778.

[4] Li S., X. Li*, Z. Deng, et al.. Characteristics of atmospheric boundary layer and its relation with PM2.5 during winter in Shihezi, an Oasis city in Northwest China [J]. Atmospheric Pollution Research, 2023, 14: 101902.

[5] Ayitikan, M., X. Li*, Y. Musha, et al.. Characteristics of Foehn Wind in Urumqi, China, and Their Relationship with EI Niño and Extreme Heat Events in the Last 15 Years [J]. Climate, 2024, 12. 56.

[6] Ayitikan, M., X. Li*, Q. He, et al.. Characteristics and Establishment of Objective Identification Criteria and Predictors for Foehn Winds in Urumqi, China. Atmosphere 2023, 14, 1206.

[7] Yu Z., X. Li*. The Temporal–Spatial Characteristics of Column NO2 Concentration and Influence Factors in Xinjiang of Northwestern Arid Region in China [J]. Atmosphere, 2022, 13, 1533.

[8] Yu Z., X. Yu, X. Li*, et al.. Spatiotemporal variation of PM2.5 in Xinjiang from 2000 to 2022 revealed by the China High Air Pollutants (CHAP) reanalysis dataset [J]. Journal of Arid Land Resource and Environment, 2025, 39(4): 132-144.

[9] Li X., J. Sun.. The Scientific Assessment Report on Climate Change in Xinjiang: Atmospheric Environment [M]. Beijing, Science Press, 2023. (in Chinese)

[10] Zhao K., M. Sun, X. Li, et al.. Comparison of the distribution and applicability of two typical atmospheric diffusion indices in Xinjiang [J]. Arid Zone Research, 2023, 40(5): 691-702. (in Chinese)

[11] Yu Z., X. Li*，B. Zhen. Spatial and Temporal Variations of NO2 in Urbans along the Northern Slope Economic Belt of Tianshan Mountains [J]. Environmental Monitoring and Forewarning, 2023, 15(1): 36-43. (in Chinese)

[12] An D., X. Li*, W. Lei. Air Quality Characteristics and Meteorological Influencing Factors in Shihezi [J]. Desert and Oasis Meteorology, 2023, 17(2): 74-80. (in Chinese)

[13] Yu Z., X. Li*，X. Yu. Spatiotemporal variation characteristics of aerosol optical depth in Xinjiang from 2003 to 2019 [J]. Arid Land Geography, 2022, 45(2): 346-358. (in Chinese)

[14] Li S., X. Li*，M. Ayitikan, et al.. Characteristics of air pollution and its polluted weather types of urban agglomeration on the north slope of the middle Tianshan Mountains from 2017 to 2019 [J]. Arid Land Geography, 2022, 45(4): 1082-1092. (in Chinese)

[15] Ayitikan, M., X. Li*, Y. Musha, et al.. Temporal and spatial characteristics of feohn on the north slope of the Tianshan Mountais of China and prediction ability of Europe Fine Grid Numerical Products [J]. Mountain Research, 2022, 40(6): 823-834. (in Chinese)

[16] Sun M., X. Li, K. Zhao*, et al.. Spatial and temporal characteristics of atmospheric diffusion conditions in Xinjiang based on radiosonde data [J]. Arid Land Geography, 2022, 45(1): 113-121. (in Chinese)

[17] Zhao K., N. Li, X. Li*, et al.. Characteristic analysis of atmospheric diffusion conditions of winter foehn weather process in Urumqi City [J]. Arid Land Geography, 2021, 44(6): 1534-1544. (in Chinese)

[18] Li S., X. Li*, Y. Zhong, et al.. Variation characteristics and meteorological factors of surface ozone concentration in Akedala in recent two years [J]. Desert and Oasis Meteorology, 2020，14(1): 115-122. (in Chinese)

[19] Wang N., X. Li*, S. Li, et al.. Detection research on a heavy pollution process with foehn in Urumqi during the late winter [J]. Desert and Oasis Meteorology, 2020,14(3): 43-52. (in Chinese)

[20] Zhao K., X., Li*, M. Sun, et al.. The Influence of Shallow Foehn on Atmospheric Diffusion Conditions and Air Quality over Urumqi in Winter [J]. Arid Land Geography, 2019, 13(1)：13-20. (in Chinese)

[21] Zhao K., X., Li*, A. Ablimitjan, et al.. Temporal and saptial distribution of atmospheric particulates over Urumqi during the latest 3 years [J]. Arid Land Geography, 2018, 41(2)：264-271. (in Chinese)

[22] Li X., J. Jia. Research of the influences of the air flows on multiple scales on the transport and diffusion mechanisms of urban air pollution over the complex terrains [J]. Desert and Oasis Meteorology, 2017, 11(1): 1-10. (in Chinese)

[23] Li X., Y. Guo, X. Lu, et al.. Evaluation and analysis on the effects of air pollution control in Urumqi [J]. China Environmental Science, 2016, 36(1): 307-313. (in Chinese)

[24] Li X., L. Wang, Q. Wang. Estimation of the Detection Ability of CFL-03 Wind Profile Radar in Urumqi [J]. Desert and Oasis Meteorology, 2016, 10(1): 9-18. (in Chinese)