Dust in motion: Spatiotemporal variability and climatic drivers of global surface dust concentration (1980–2023)

Surface mineral dust reflects interactions among persistent source environments, seasonal circulation, land-surface susceptibility, and large-scale climate variability, with pronounced regional differences. We examined MERRA-2 near-surface dust mass concentration across eight major dust-source regions during 1980–2023. Thirty-two high-concentration hotspots were identified, mainly in desert and dune systems, playas or dried lakebeds, and sparsely vegetated surfaces. Regional mean loading was highest in North Africa, followed by Central Asia and the Middle East, and lowest in North America. Long-term evolution was strongly asynchronous: ten robust trend transitions occurred across five regions, but sensitivity analysis identified the North American transition around 2000 as potentially observing-system-sensitive; North Africa, Australia, and Southern Africa followed more gradual trajectories. Seasonal timing was more persistent, with only three robust transitions in North Africa, East Africa, and North America. Wind-related variability formed the expected dynamical background within MERRA-2, whereas non-wind relationships were region specific. Soil moisture showed the strongest negative association in East Africa ( r = −0.48), while evaporation-related associations had opposite signs in Central Asia and the Middle East versus East Africa. Large-scale climate associations were moderate and geographically selective (maximum | r | = 0.39): Pacific Decadal Oscillation (PDO) associations were concentrated in the Americas, whereas Dipole Mode Index (DMI) and Arctic Oscillation (AO) associations were confined to fewer African and Eurasian regions. Global surface-dust variability is therefore organized into interacting regional regimes rather than a single global trajectory or universal driver hierarchy.

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Publication Details

Journal
Aeolian Research
Published
2026-09-16
DOI
https://doi.org/10.1016/j.aeolia.2026.101084
Primary Topic
Atmospheric aerosols and clouds
Type
article
Field-Weighted Citation Impact
0.00

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article

Dust in motion: Spatiotemporal variability and climatic drivers of global surface dust concentration (1980–2023)

Tim Van de Voorde, Alim Samat, Shanfeng He, Jilili Abuduwaili et al.
Aeolian Research
Atmospheric aerosols and clouds
article

Dust in motion: Spatiotemporal variability and climatic drivers of global surface dust concentration (1980–2023)

Tim Van de Voorde, Alim Samat, Shanfeng He, Jilili Abuduwaili, Hao Guo, Yongxiao Ge, Wei Wang
article en

Abstract

Surface mineral dust reflects interactions among persistent source environments, seasonal circulation, land-surface susceptibility, and large-scale climate variability, with pronounced regional differences. We examined MERRA-2 near-surface dust mass concentration across eight major dust-source regions during 1980–2023. Thirty-two high-concentration hotspots were identified, mainly in desert and dune systems, playas or dried lakebeds, and sparsely vegetated surfaces. Regional mean loading was highest in North Africa, followed by Central Asia and the Middle East, and lowest in North America. Long-term evolution was strongly asynchronous: ten robust trend transitions occurred across five regions, but sensitivity analysis identified the North American transition around 2000 as potentially observing-system-sensitive; North Africa, Australia, and Southern Africa followed more gradual trajectories. Seasonal timing was more persistent, with only three robust transitions in North Africa, East Africa, and North America. Wind-related variability formed the expected dynamical background within MERRA-2, whereas non-wind relationships were region specific. Soil moisture showed the strongest negative association in East Africa ( r = −0.48), while evaporation-related associations had opposite signs in Central Asia and the Middle East versus East Africa. Large-scale climate associations were moderate and geographically selective (maximum | r | = 0.39): Pacific Decadal Oscillation (PDO) associations were concentrated in the Americas, whereas Dipole Mode Index (DMI) and Arctic Oscillation (AO) associations were confined to fewer African and Eurasian regions. Global surface-dust variability is therefore organized into interacting regional regimes rather than a single global trajectory or universal driver hierarchy.

Aeolian ResearchVol. 77
Chinese Academy of Sciences (CN), Qufu Normal University (CN), Xinjiang Institute of Ecology and Geography (CN), Joint Research Center (BE)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Youth Innovation Technology Project of Higher School in Shandong Province
Climate action
Openalex Percentile: Top 14%
Atmospheric aerosols and clouds
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