Long-term associations between land-surface indicators and dust-storm occurrence along the margins of the Taklimakan Desert

Land-surface change and atmospheric variability jointly shape dust activity in arid regions. We examined land-cover transitions, station dust-storm records, a Sentinel-1 backscatter index, meteorological variables from the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) and dust diagnostics from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) along the margins of the Taklimakan Desert. Within the mapped domain, grassland increased from 9.45% in 1990 to 10.59% in 2023, while barren land decreased from 86.45% to 82.30%. Annual dust-storm-day trends were negative at 21 of 30 stations over available 1990–2024 records, and Sentinel-1 index trends were positive at 22 stations during 2015–2024. Mixed-effects path analysis of 3,804 station-month observations showed that the Sentinel-1 index was negatively associated with modelled dust emission (standardized coefficient = − 0.191; 95% confidence interval: −0.289 to − 0.043). The normalized difference vegetation index (NDVI) and friction velocity had the highest training-set feature importance in the random forest analysis.

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Publication Details

Journal
Scientific Reports
Published
2026-10-15
DOI
https://doi.org/10.1038/s41598-026-75251-3
Primary Topic
Aeolian processes and effects
Type
article
Field-Weighted Citation Impact
0.00

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article

Long-term associations between land-surface indicators and dust-storm occurrence along the margins of the Taklimakan Desert

Wen Huo, Ali Mamtimin, Mayibaier Maihamuti, Fan Yang et al.
Scientific Reports
Aeolian processes and effects
article

Long-term associations between land-surface indicators and dust-storm occurrence along the margins of the Taklimakan Desert

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

Abstract

Land-surface change and atmospheric variability jointly shape dust activity in arid regions. We examined land-cover transitions, station dust-storm records, a Sentinel-1 backscatter index, meteorological variables from the fifth-generation European Centre for Medium-Range Weather Forecasts reanalysis (ERA5) and dust diagnostics from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) along the margins of the Taklimakan Desert. Within the mapped domain, grassland increased from 9.45% in 1990 to 10.59% in 2023, while barren land decreased from 86.45% to 82.30%. Annual dust-storm-day trends were negative at 21 of 30 stations over available 1990–2024 records, and Sentinel-1 index trends were positive at 22 stations during 2015–2024. Mixed-effects path analysis of 3,804 station-month observations showed that the Sentinel-1 index was negatively associated with modelled dust emission (standardized coefficient = − 0.191; 95% confidence interval: −0.289 to − 0.043). The normalized difference vegetation index (NDVI) and friction velocity had the highest training-set feature importance in the random forest analysis.

Scientific Reports
China Meteorological Administration (CN), Institute of Desert Meteorology, China Meteorological Administration, Shanxi Normal University (CN)
Xinjiang University, Institute of Desert Meteorology, China Meteorological Administration
Climate action, Life on land
Openalex Percentile: Top 16%
Aeolian processes and effects
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