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Article

Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin

1
College of Geographic Science and Tourism, Xinjiang Normal University, Urumqi 830017, China
2
Xinjiang Laboratory of Lake Environment and Resources in Arid Zone, Urumqi 830017, China
3
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830017, China
4
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
5
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
6
Taklimakan Desert Meteorology Field Experiment Station of China Meteorological Administration, Urumqi 830002, China
7
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
8
Key Laboratory of Tree-Ring Physical and Chemical Research, China Meteorological Administration, Urumqi 830002, China
9
School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(12), 1977; https://doi.org/10.3390/rs18121977
Submission received: 28 April 2026 / Revised: 10 June 2026 / Accepted: 12 June 2026 / Published: 14 June 2026
(This article belongs to the Special Issue Aerosol Remote Sensing from Space, Ground or Computers)

Abstract

This study explores the three-dimensional structure of dust aerosols over the Qaidam Basin using CALIPSO satellite observations from 2007 to 2022. The results show that polluted dust is the dominant aerosol type in this region. Dust activity peaks in spring, with its vertical extent reaching nearly 10 km. Dust Aerosol Optical Depth (DAOD) is relatively high in the northwest and central parts of the basin, with a spring peak of 0.25 and an autumn minimum of 0.12. DAOD has shown a notable decreasing trend over the past 16 years. In terms of vertical structure, dust aerosols are mainly concentrated below 4 km AGL, especially within the near-surface layer of 0–2 km, and their occurrence frequency declines as altitude increases. The dust layer thickness exhibits obvious seasonal variations, which are primarily controlled by changes in layer top height. The average thickness decreases from 1.53 km in spring to 0.61 km in winter, while the layer’s bottom height remains fairly stable. Analysis based on the LASSO-SHAP model indicates that potential evapotranspiration and friction velocity are the major factors affecting DAOD, highlighting the vital roles of surface dryness and near-surface dynamic forcing. Furthermore, investigation of typical dust events reveals distinct vertical stratification of dust transport. Low-level dust movement is restricted by basin terrain, whereas upper levels are governed by the westerlies. This study improves our understanding of the three-dimensional structure, seasonal evolution, and transport processes of dust aerosols in high-altitude arid basins.
Keywords: dust aerosols; three-dimensional distribution; satellite; CALIPSO; HYSPLIT; Qaidam Basin dust aerosols; three-dimensional distribution; satellite; CALIPSO; HYSPLIT; Qaidam Basin

Share and Cite

MDPI and ACS Style

Chen, S.; He, Q.; Zhang, L.; Li, J. Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin. Remote Sens. 2026, 18, 1977. https://doi.org/10.3390/rs18121977

AMA Style

Chen S, He Q, Zhang L, Li J. Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin. Remote Sensing. 2026; 18(12):1977. https://doi.org/10.3390/rs18121977

Chicago/Turabian Style

Chen, Si, Qing He, Lu Zhang, and Jinglong Li. 2026. "Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin" Remote Sensing 18, no. 12: 1977. https://doi.org/10.3390/rs18121977

APA Style

Chen, S., He, Q., Zhang, L., & Li, J. (2026). Long-Term Remote Sensing of Three-Dimensional Structure and Vertical Transport of Dust Aerosols over the Qaidam Basin. Remote Sensing, 18(12), 1977. https://doi.org/10.3390/rs18121977

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