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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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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