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Characteristics and a mechanism of dust weather in Northern China

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Abstract

In this study, the long-term characteristics of the dust weather frequency (DWF) in the ensuing spring (March–April–May, MAM) in northern China (NC) and the association with sea ice concentration in the Barents Sea (SICBS) and Arctic Oscillation (AO) in the preceding winter (December–January–February, DJF) during 1979–2021 are investigated. The results show that the dust weather in NC is mainly associated with decreased SICBS during 1982–2008 and linked with a negative AO phase during 2009–2021. Due to the decreased SICBS in the preceding winter during 1982–2008, the surface adiabatic heating excites Rossby waves to spread southward and eastward, resulting in decreased snow cover over Eurasia and more dust weather by anomalous northerly wind in the ensuing spring over NC. On the other hand, with a negative AO phase in the preceding winter during 2009–2021, the increased meridional temperature gradient at mid-latitudes tends to enhance westerly wind and cyclogenesis over NC, leading to more dust weather in the ensuing spring. Consequently, both the negative AO phase and decreased SICBS in the preceding winter correspond to strong wind and dry soil in the dust source region, which favor an increase in the DWF in the ensuing spring over NC. Studying the characteristics of the SICBS and AO could provide some clues to predict the dust weather in NC.

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Data availability

The land-based (in situ) dataset the National Centers for Environmental Information are available at https://www.ncei.noaa.gov/data/global-hourly/archive/csv/. The sea ice concentration data from the Hadley Centre Global Sea Ice and Sea Surface Temperature are available at https://www.metoffice.gov.uk/hadobs/hadisst/data/download.html. The land cover type data from the Moderate Resolution Imaging Spectroradiometer are available at https://ladsweb.modaps.eosdis.nasa.gov/archive/allData/6/. The reanalysis data from the National Centers for Environmental Prediction and the National Center for Atmospheric Research are available at https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html. The monthly snow cover data derived from European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 are available at https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-pressure-levels-monthly-means?tab=form.

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Acknowledgements

This research is mainly supported by the National Natural Science Foundation of China (41991231), and jointly supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA2006010301), the Fundamental Research Funds for the Central Universities (lzujbky-2020-kb02), and Gansu Province Education Science and Technology Innovation Project (2022CXZX-105).

Funding

This study is mainly supported by the National Natural Science Foundation of China (41991231), and jointly supported by the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDA2006010301), the Fundamental Research Funds for the Central Universities (lzujbky-2020-kb02), and Gansu Province Education Science and Technology Innovation Project (2022CXZX-105).

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by TS, DL, and ZT. The first draft of the manuscript was written by TS and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Yuzhi Liu.

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Shao, T., Liu, Y., Tan, Z. et al. Characteristics and a mechanism of dust weather in Northern China. Clim Dyn 61, 1591–1606 (2023). https://doi.org/10.1007/s00382-022-06644-z

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