Distinct spatiotemporal patterns and meteorological impacts of Gobi Desert and Taklimakan Desert dust storms over China

Dust storms frequently impact China, driven largely by dust emissions from the Gobi and Taklimakan Deserts-two of East Asia's most significant dust sources. However, fundamental differences in their patterns and associated feedback mechanisms-particularly involving thermal and atmospheric processes-remain to be quantified. Here, we propose a novel framework integrating a rigorous hierarchical analysis with dynamic thresholding to enhance the precision and robustness of the dust storm-associated coarse-mode aerosol optical depth (DUST-cAOD) retrievals. By improving the Brightness Temperature Difference (BTD) algorithm, our method achieves 10-minute-resolution DUST-cAOD observations from 2016 to 2023. We build 32,767 hierarchical regression models to isolate and compare meteorological impacts of dust storms originating from the two Deserts. Our analysis reveals an intensification in frequency and impact of Gobi Desert-sourced dust storms. Annual occurrences increased from 6.25 events (2016–2019) to 14 events (2020–2023). Spatially, these storms affect 28.35% of China’s land area-exceeding Taklimakan-sourced Desert storms by 37%-and impact threefold more people. Mechanistically, Gobi Desert dust storms amplify through a positive feedback loop: thermal forcing strengthens the subtropical ridge (STR), reduces dewpoint temperatures, and elevates cloud liquid water content. In contrast, Taklimakan Desert dust storms intensify primarily through coupled precipitation-evaporation feedbacks. This study establishes the first systematic comparison of distinct mechanisms governing dust storms originating from the Gobi and Taklimakan Deserts. Our findings provide critical scientific support for improved early warning systems, region-specific mitigation strategies, and comprehensive assessments of dust-climate interactions across East Asia. • Mongolia-origin dust storms frequency doubled from 2016 to 2023. • Mongolian dust affects three times more population than Xinjiang dust. • Dust storms exhibit distinct meteorological feedback by origin region.

Authors

Institutions

Publication Details

Journal
Environmental Technology & Innovation
Published
2025-07-26
DOI
https://doi.org/10.1016/j.eti.2025.104393
Citations
1
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Distinct spatiotemporal patterns and meteorological impacts of Gobi Desert and Taklimakan Desert dust storms over China

Junxiao Zou, Haishuo Wei, Xing Yan, Nana Luo et al.
1 citations
Environmental Technology & Innovation
Atmospheric aerosols and clouds
1.11
article

Distinct spatiotemporal patterns and meteorological impacts of Gobi Desert and Taklimakan Desert dust storms over China

Junxiao Zou, Haishuo Wei, Xing Yan, Nana Luo, Jinlong Fan, Kun Jia, Qiao Wang, Xingguang Piao, Hooi Ling Khoo
article en
1 citations

Abstract

Dust storms frequently impact China, driven largely by dust emissions from the Gobi and Taklimakan Deserts-two of East Asia's most significant dust sources. However, fundamental differences in their patterns and associated feedback mechanisms-particularly involving thermal and atmospheric processes-remain to be quantified. Here, we propose a novel framework integrating a rigorous hierarchical analysis with dynamic thresholding to enhance the precision and robustness of the dust storm-associated coarse-mode aerosol optical depth (DUST-cAOD) retrievals. By improving the Brightness Temperature Difference (BTD) algorithm, our method achieves 10-minute-resolution DUST-cAOD observations from 2016 to 2023. We build 32,767 hierarchical regression models to isolate and compare meteorological impacts of dust storms originating from the two Deserts. Our analysis reveals an intensification in frequency and impact of Gobi Desert-sourced dust storms. Annual occurrences increased from 6.25 events (2016–2019) to 14 events (2020–2023). Spatially, these storms affect 28.35% of China’s land area-exceeding Taklimakan-sourced Desert storms by 37%-and impact threefold more people. Mechanistically, Gobi Desert dust storms amplify through a positive feedback loop: thermal forcing strengthens the subtropical ridge (STR), reduces dewpoint temperatures, and elevates cloud liquid water content. In contrast, Taklimakan Desert dust storms intensify primarily through coupled precipitation-evaporation feedbacks. This study establishes the first systematic comparison of distinct mechanisms governing dust storms originating from the Gobi and Taklimakan Deserts. Our findings provide critical scientific support for improved early warning systems, region-specific mitigation strategies, and comprehensive assessments of dust-climate interactions across East Asia. • Mongolia-origin dust storms frequency doubled from 2016 to 2023. • Mongolian dust affects three times more population than Xinjiang dust. • Dust storms exhibit distinct meteorological feedback by origin region.

Environmental Technology & InnovationVol. 40
Beijing Normal University (CN), Beijing University of Civil Engineering and Architecture (CN), Universiti Tunku Abdul Rahman (MY)
Climate action
Openalex Percentile: Top 22%
Atmospheric aerosols and clouds
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.