Preprints
https://doi.org/10.5194/egusphere-2025-4589
https://doi.org/10.5194/egusphere-2025-4589
05 Oct 2025
 | 05 Oct 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Attributing the decadal variations in springtime East Asian and North American dust emission to regime shifts in extratropical cyclone

Yiting Wang, Yan Yu, Ji Nie, and Bing Pu

Abstract. Dust activities across East Asia and North America have shown decadal variations, mediating radiation budget, air quality, and human health, especially during their peak months of April and May. Using satellite and ground measurements, as along with simulations from a dust emission model, we demonstrate an increase of 3.6 % and 30.1 % in April dust emissions across East Asia and North America, respectively, during the past four decades, in contrast to a 30.6 % and 13.3 % decrease during the last two decades. Meanwhile, both regions show a steady increase in May dust emissions by 28.8 % and 20.0 %, respectively, since the 1980s. Sensitivity experiments attribute both regions’ decadal variations in dust emission primarily to surface wind speed changes; whereas vegetation exerts minimum influence on the regional dust emission variations. Furthermore, these decadal variations in dust initiating wind could largely be attributed to regime shifts in extratropical cyclone (EC), including their duration and intensity. These results highlight the changing frequency and duration of strong winds, especially those associated with EC, in shaping the decadal variations of mid-latitude dust emissions.

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Yiting Wang, Yan Yu, Ji Nie, and Bing Pu

Status: open (until 16 Nov 2025)

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Yiting Wang, Yan Yu, Ji Nie, and Bing Pu
Yiting Wang, Yan Yu, Ji Nie, and Bing Pu

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Short summary
Dust activity in East Asia and North America shows decadal variations, affecting radiation, air quality, and human health, especially in April and May. This study examines interannual and decadal changes in springtime dust emissions and quantifies the role of environmental factors and extratropical cyclones. Using multi-source datasets, a dust emission model, and cyclone tracking algorithms, we find that strong winds, particularly those linked to cyclones, are key drivers of these changes.
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