Preprints
https://doi.org/10.5194/acp-2021-112
https://doi.org/10.5194/acp-2021-112

  26 Mar 2021

26 Mar 2021

Review status: this preprint is currently under review for the journal ACP.

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

Debing Kong1,2, Shigong Wang3,4, Guicai Ning3,5, Jing Cong6, Ming Luo5,7, Xiang Ni1,2, and Mingguo Ma1,2 Debing Kong et al.
  • 1Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing, 400715, China
  • 2Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing, 400715, China
  • 3The Gansu Key Laboratory of Arid Climate Change and Reducing Disaster, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
  • 4Sichuan Key Laboratory for Plateau Atmosphere and Environment, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China
  • 5Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China
  • 6Tianjin Municipal Meteorological Observatory, Tianjin 300074, China
  • 7School of Geography and Planning, and Guangdong Key Laboratory for Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, China

Abstract. Air pollution is substantially modulated by meteorological conditions, and especially their diurnal variations may play a key role in air quality evolution. However, the behaviors of temperature diurnal cycles along with the associated atmospheric condition and their effects on air quality in China remain poorly understood. Here, for the first time we examine the diurnal cycles of day-to-day temperature change and reveal their impacts on winter 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 day-to-day changes in atmospheric dispersion conditions and air quality. The diurnal cycle with increasing temperature obviously enhances the atmospheric stability in the lower troposphere and suppresses the development of the planetary boundary layer, thus deteriorating the air quality on the following day. By contrast, the diurnal cycle with decreasing temperature in the morning is accompanied by a worse dispersion condition with more stable atmosphere stratification and weaker surface wind speed, thereby substantially worsening the air quality. Conversely, the diurnal cycle with decreasing temperature in the afternoon seems to improve air quality on the following day by enhancing the atmospheric dispersion conditions on the following day. The findings reported here are critical to improve the understanding of air pollution in mountain-basin areas and exhibit promising potential for air quality forecasting.

Debing Kong et al.

Status: open (extended)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on acp-2021-112', Anonymous Referee #1, 23 Apr 2021 reply

Debing Kong et al.

Debing Kong et al.

Viewed

Total article views: 305 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
233 63 9 305 2 5
  • HTML: 233
  • PDF: 63
  • XML: 9
  • Total: 305
  • BibTeX: 2
  • EndNote: 5
Views and downloads (calculated since 26 Mar 2021)
Cumulative views and downloads (calculated since 26 Mar 2021)

Viewed (geographical distribution)

Total article views: 297 (including HTML, PDF, and XML) Thereof 297 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jun 2021
Download
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.
Altmetrics