Clustering diurnal cycles of day-to-day temperature change  to understand their impacts on air quality forecasting in mountain-basin areas

Kong, Debing; Ning, Guicai; Wang, Shigong; Cong, Jing; Luo, Ming; Ni, Xiang; Ma, Mingguo

doi:https://doi.org/10.5194/acp-21-14493-2021

Articles | Volume 21, issue 19

https://doi.org/10.5194/acp-21-14493-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-21-14493-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 19

Research article

|

30 Sep 2021

Research article |

| 30 Sep 2021

Clustering diurnal cycles of day-to-day temperature change to understand their impacts on air quality forecasting in mountain-basin areas

Debing Kong, Guicai Ning, Shigong Wang, Jing Cong, Ming Luo, Xiang Ni, and Mingguo Ma

Supplement

https://doi.org/10.5194/acp-21-14493-2021-supplement

Data sets

Technical Regulation on Ambient Air Quality Index (on Trial): HJ 633-2012 MEP http://www.mee.gov.cn/xxgk2018/

National Standards of People's Republic of China: Specifications for Surface Meteorological Observation Standards Press of China http://data.cma.cn/data/

ERA5 hourly data on pressure levels from 1979 to present, Copernicus Climate Change Service (C3S) Climate Data Store (CDS) H. Hersbach et al. https://cds.climate.copernicus.eu/

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Short summary

This study provides the first attempt to examine the diurnal cycles of day-to-day temperature change and reveals their impacts on air quality forecasting in mountain-basin areas. Three different diurnal cycles of the preceding day-to-day temperature change are identified and exhibit notably distinct effects on the air quality evolutions. The mechanisms of the identified diurnal cycles' effects on air quality are also revealed, which exhibit promising potential for air quality forecasting.