Articles | Volume 26, issue 7
https://doi.org/10.5194/nhess-26-3523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-3523-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Dynamic and thermal analysis of dust storm processes based on vertical observation data
Yifei Wang
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Yongqiang Liu
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Mayibaier Maihamuti
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Fan Yang
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Chenglong Zhou
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
Xinghua Yang
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
School of Geographical Sciences, Shanxi Normal University, Taiyuan 030031, China
Ali Mamtimin
Institute of Desert Meteorology, China Meteorological Administration, Urumqi 830002, China
National Observation and Research Station of Desert Meteorology, Taklimakan Desert of Xinjiang, Urumqi 830002, China
Taklimakan Desert Meteorology Field Experiment Station, China Meteorological Administration, Urumqi 830002, China
Xinjiang Key Laboratory of Desert Meteorology and Sandstorm, Urumqi 830002, China
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Earth Syst. Sci. Data, 16, 1185–1207, https://doi.org/10.5194/essd-16-1185-2024, https://doi.org/10.5194/essd-16-1185-2024, 2024
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We applied several correction procedures and rigorously checked for data quality constraints during the long observation period spanning almost 14 years (2007–2020). Nevertheless, some uncertainties remain, mainly due to technical constraints and limited documentation of the measurements. Even though not completely accurate, this strategy is expected to at least reduce the inaccuracy of the computed characteristic value of aerosol optical parameters.
Yaozhi Jiang, Kun Yang, Youcun Qi, Xu Zhou, Jie He, Hui Lu, Xin Li, Yingying Chen, Xiaodong Li, Bingrong Zhou, Ali Mamtimin, Changkun Shao, Xiaogang Ma, Jiaxin Tian, and Jianhong Zhou
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Our work produces a long-term (1979–2020) high-resolution (1/30°, daily) precipitation dataset for the Third Pole (TP) region by merging an advanced atmospheric simulation with high-density rain gauge (more than 9000) observations. Validation shows that the produced dataset performs better than the currently widely used precipitation datasets in the TP. This dataset can be used for hydrological, meteorological and ecological studies in the TP.
Chenglong Zhou, Yuzhi Liu, Qingzhe Zhu, Qing He, Tianliang Zhao, Fan Yang, Wen Huo, Xinghua Yang, and Ali Mamtimin
Atmos. Chem. Phys., 22, 5195–5207, https://doi.org/10.5194/acp-22-5195-2022, https://doi.org/10.5194/acp-22-5195-2022, 2022
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Based on the radiosonde observations, an anomalously warm layer is measured at altitudes between 500 and 300 hPa over the Tarim Basin (TB) with an average intensity of 2.53 and 1.39 K in the spring and summer, respectively. The heat contributions of dust to this anomalously warm atmospheric layer in spring and summer were 13.77 and 10.25 %, respectively. Topographically, the TB is adjacent to the Tibetan Plateau; we propose the concept of the Tibetan heat source’s northward extension.
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Short summary
Dust storms threaten health, travel and farming, but the conditions that prepare them may change with season. We studied eight 2024 storms in the Taklimakan Desert using two towers, weather records and air-path tracking. Spring storms were mainly prepared by strong regional pressure differences, while summer storms showed stronger early ground heating, followed by rising winds just before they began. Local terrain altered these signals. The results may improve seasonal dust-storm warnings.
Dust storms threaten health, travel and farming, but the conditions that prepare them may change...
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