Dynamic and thermal analysis of dust storm processes based on vertical observation data

Abstract. The Taklimakan Desert (TD) is a major dust-source region in East Asia, yet the dynamic and thermal processes associated with dust-storm development remain insufficiently understood from vertically resolved observations. This study combined dual-gradient tower observations from Tazhong (TZ) and Xiaotang (XT), ERA5 reanalysis, and backward trajectories calculated with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to examine eight dust-storm events in spring and summer 2024. Three main pre-storm airflow pathways were identified: east-inflow transport through the northeastern Tarim Basin, mountain-crossing transport across the Tianshan–Pamir region, and south-to-north transport across the Tibetan Plateau and Kunlun Mountains. ERA5 anomaly diagnostics show that spring events maintained stronger mean sea-level pressure-gradient and 850 hPa geopotential-height-gradient anomalies throughout the pre-onset period, while 10 m wind-speed anomalies increased rapidly after approximately −12 h. In contrast, summer events showed stronger thermal signals before approximately −18 h, including enhanced surface–air temperature contrast, positive net shortwave radiation anomalies, and boundary-layer growth. Tower observations further indicate stronger summer warming and closer-to-onset wind-speed and wind-shear enhancement. Differences between TZ and XT suggest that local terrain modulates the near-surface response to regional dynamic and thermal forcing. These eight cases provide observational evidence that spring and summer dust-storm processes in the TD may differ in their dominant dynamic and thermal preconditioning.

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Publication Details

Journal
Natural hazards and earth system sciences
Published
2026-07-28
DOI
https://doi.org/10.5194/nhess-26-3523-2026
Primary Topic
Atmospheric aerosols and clouds
Type
article
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article

Dynamic and thermal analysis of dust storm processes based on vertical observation data

Wen Huo, Yongqiang Liu, Mayibaier Maihamuti, Fan Yang et al.
Natural hazards and earth system sciences
Atmospheric aerosols and clouds
article

Dynamic and thermal analysis of dust storm processes based on vertical observation data

Wen Huo, Yongqiang Liu, Mayibaier Maihamuti, Fan Yang, Yifei Wang, Ali Mamtimin, Xinghua Yang, Chenglong Zhou
article en

Abstract

Abstract. The Taklimakan Desert (TD) is a major dust-source region in East Asia, yet the dynamic and thermal processes associated with dust-storm development remain insufficiently understood from vertically resolved observations. This study combined dual-gradient tower observations from Tazhong (TZ) and Xiaotang (XT), ERA5 reanalysis, and backward trajectories calculated with the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to examine eight dust-storm events in spring and summer 2024. Three main pre-storm airflow pathways were identified: east-inflow transport through the northeastern Tarim Basin, mountain-crossing transport across the Tianshan–Pamir region, and south-to-north transport across the Tibetan Plateau and Kunlun Mountains. ERA5 anomaly diagnostics show that spring events maintained stronger mean sea-level pressure-gradient and 850 hPa geopotential-height-gradient anomalies throughout the pre-onset period, while 10 m wind-speed anomalies increased rapidly after approximately −12 h. In contrast, summer events showed stronger thermal signals before approximately −18 h, including enhanced surface–air temperature contrast, positive net shortwave radiation anomalies, and boundary-layer growth. Tower observations further indicate stronger summer warming and closer-to-onset wind-speed and wind-shear enhancement. Differences between TZ and XT suggest that local terrain modulates the near-surface response to regional dynamic and thermal forcing. These eight cases provide observational evidence that spring and summer dust-storm processes in the TD may differ in their dominant dynamic and thermal preconditioning.

Natural hazards and earth system sciencesVol. 26(7)
China Meteorological Administration (CN), Taiyuan Normal University (CN), Shanxi Normal University (CN), Xinjiang University (CN)
Life below water
Openalex Percentile: Top 10%
Atmospheric aerosols and clouds
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