Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies

Huo, Qianyi; Yin, Zhicong; Ma, Xiaoqing; Wang, Huijun

doi:https://doi.org/10.5194/acp-25-1711-2025

Articles | Volume 25, issue 3

https://doi.org/10.5194/acp-25-1711-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-25-1711-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 3

Research article

|

06 Feb 2025

Research article |

| 06 Feb 2025

Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies

Qianyi Huo, Zhicong Yin, Xiaoqing Ma, and Huijun Wang

Supplement

https://doi.org/10.5194/acp-25-1711-2025-supplement

Data sets

Hourly PM10 and PM2.5 concentration China National Environmental Monitoring Centre https://quotsoft.net/air/

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

NOAA Climate Data Record (CDR) of AVHRR Normalized Difference Vegetation Index (NDVI), Version 5 E. Vermote https://doi.org/10.7289/V5ZG6QH9

Seasonal forecast subdaily data on pressure levels Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.50ed0a73

Seasonal forecast daily and subdaily data on single levels Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.181d637e

Download

Article (8824 KB)
Full-text XML

Short summary

Dust days during the spring seasons of 2015–2023 in North China were classified into Mongolian cyclone and cold high types depending on the presence of the Mongolian cyclone. The Mongolian cyclone type led to more frequent and severe dust weather, indicated by PM₁₀ concentrations. To comprehensively forecast the two types of dust weather, a common predictor was established based on 500 hPa anomalous circulation systems, offering insights for dust weather forecasting and climate prediction.